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Naveen Eluru

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

    Sorry, no citations of working papers recorded.

Articles

  1. Dey Tirtha, Sudipta & Bhowmik, Tanmoy & Eluru, Naveen, 2022. "An airport level framework for examining the impact of COVID-19 on airline demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 169-181.

    Cited by:

    1. Bing Zhao & Hao Wu, 2022. "A System Dynamics Model of Multi-Airport Logistics System under the Impact of COVID-19: A Case of Jing-Jin-Ji Multi-Airport System in China," Sustainability, MDPI, vol. 14(19), pages 1-19, October.
    2. Tirtha, Sudipta Dey & Bhowmik, Tanmoy & Eluru, Naveen, 2023. "Understanding the factors affecting airport level demand (arrivals and departures) using a novel modeling approach," Journal of Air Transport Management, Elsevier, vol. 106(C).

  2. Keya, Nowreen & Anowar, Sabreena & Bhowmik, Tanmoy & Eluru, Naveen, 2021. "A joint framework for modeling freight mode and destination choice: Application to the US commodity flow survey data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).

    Cited by:

    1. Usman Ahmed & Matthew J. Roorda, 2023. "Joint and sequential models for freight vehicle type and shipment size choice," Transportation, Springer, vol. 50(5), pages 1613-1629, October.

  3. Tanmoy Bhowmik & Sudipta Dey Tirtha & Naveen Chandra Iraganaboina & Naveen Eluru, 2021. "A comprehensive analysis of COVID-19 transmission and mortality rates at the county level in the United States considering socio-demographics, health indicators, mobility trends and health care infras," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-15, April.

    Cited by:

    1. Dina Albassam & Mariam Nouh & Anette Hosoi, 2023. "The Effectiveness of Mobility Restrictions on Controlling the Spread of COVID-19 in a Resistant Population," IJERPH, MDPI, vol. 20(7), pages 1-14, March.
    2. Stephanie Griggs & Christine Horvat Davey & Quiana Howard & Grant Pignatiello & Deepesh Duwadi, 2022. "Socioeconomic Deprivation, Sleep Duration, and Mental Health during the First Year of the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(21), pages 1-10, November.
    3. Costase Ndayishimiye & Christoph Sowada & Patrycja Dyjach & Agnieszka Stasiak & John Middleton & Henrique Lopes & Katarzyna Dubas-Jakóbczyk, 2022. "Associations between the COVID-19 Pandemic and Hospital Infrastructure Adaptation and Planning—A Scoping Review," IJERPH, MDPI, vol. 19(13), pages 1-22, July.
    4. Dey Tirtha, Sudipta & Bhowmik, Tanmoy & Eluru, Naveen, 2022. "An airport level framework for examining the impact of COVID-19 on airline demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 169-181.

  4. Majbah Uddin & Sabreena Anowar & Naveen Eluru, 2021. "Modeling freight mode choice using machine learning classifiers: a comparative study using Commodity Flow Survey (CFS) data," Transportation Planning and Technology, Taylor & Francis Journals, vol. 44(5), pages 543-559, July.

    Cited by:

    1. Hyeonsup Lim & Majbah Uddin & Yuandong Liu & Shih-Miao Chin & Ho-Ling Hwang, 2022. "A Comparative Study of Machine Learning Algorithms for Industry-Specific Freight Generation Model," Sustainability, MDPI, vol. 14(22), pages 1-25, November.

  5. Zhao, Dongfang & Balusu, Suryaprasanna Kumar & Sheela, Parvathy Vinod & Li, Xiaopeng & Pinjari, Abdul Rawoof & Eluru, Naveen, 2020. "Weight-categorized truck flow estimation: A data-fusion approach and a Florida case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).

    Cited by:

    1. Yang, Yitao & Jia, Bin & Yan, Xiao-Yong & Zhi, Danyue & Song, Dongdong & Chen, Yan & de Bok, Michiel & Tavasszy, Lóránt A. & Gao, Ziyou, 2023. "Uncovering and modeling the hierarchical organization of urban heavy truck flows," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    2. Huo, Jinbiao & Liu, Chengqi & Chen, Jingxu & Meng, Qiang & Wang, Jian & Liu, Zhiyuan, 2023. "Simulation-based dynamic origin–destination matrix estimation on freeways: A Bayesian optimization approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 173(C).

  6. Rahman, Moshiur & Yasmin, Shamsunnahar & Eluru, Naveen, 2020. "A joint panel binary logit and fractional split model for converting route-level transit ridership data to stop-level boarding and alighting data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 1-16.

    Cited by:

    1. Kumar Dey, Bibhas & Anowar, Sabreena & Eluru, Naveen, 2021. "A framework for estimating bikeshare origin destination flows using a multiple discrete continuous system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 119-133.

  7. Ahmadreza Faghih-Imani & Naveen Eluru, 2020. "A finite mixture modeling approach to examine New York City bicycle sharing system (CitiBike) users’ destination preferences," Transportation, Springer, vol. 47(2), pages 529-553, April.

    Cited by:

    1. Shahram Heydari & Garyfallos Konstantinoudis & Abdul Wahid Behsoodi, 2021. "Effect of the COVID-19 pandemic on bike-sharing demand and hire time: Evidence from Santander Cycles in London," Papers 2107.11589, arXiv.org.
    2. Kumar Dey, Bibhas & Anowar, Sabreena & Eluru, Naveen, 2021. "A framework for estimating bikeshare origin destination flows using a multiple discrete continuous system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 119-133.
    3. Kim, Sung Hoo & Mokhtarian, Patricia L., 2023. "Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 134-173.
    4. Shahram Heydari & Garyfallos Konstantinoudis & Abdul Wahid Behsoodi, 2021. "Effect of the COVID-19 pandemic on bike-sharing demand and hire time: Evidence from Santander Cycles in London," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-16, December.
    5. Adina Andra Triandafil & Alexandra Cristina Dinu & Florina Puie (Razvanta), 2021. "Destination Management Organizations: A Systematization Of Recent Literature With A Focus On New Research Trends," Cactus - The tourism journal for research, education, culture and soul, Bucharest University of Economic Studies, vol. 3(2), pages 56-63.

  8. Keya, Nowreen & Anowar, Sabreena & Eluru, Naveen, 2019. "Joint model of freight mode choice and shipment size: A copula-based random regret minimization framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 97-115.

    Cited by:

    1. Kundu, Tanmoy & Sheu, Jiuh-Biing, 2019. "Analyzing the effect of government subsidy on shippers’ mode switching behavior in the Belt and Road strategic context," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 175-202.
    2. Lu, Changxiang & Ye, Yong & Fang, Yongjun & Fang, Jiaqi, 2023. "An optimal control theory approach for freight structure path evolution post-COVID-19 pandemic," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    3. Günay, Gürkan, 2023. "Shipment size and vehicle choice modeling for road freight transport: A geographical perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    4. Zofia Gródek-Szostak & Gabriela Malik & Danuta Kajrunajtys & Anna Szeląg-Sikora & Jakub Sikora & Maciej Kuboń & Marcin Niemiec & Joanna Kapusta-Duch, 2019. "Modeling the Dependency between Extreme Prices of Selected Agricultural Products on the Derivatives Market Using the Linkage Function," Sustainability, MDPI, vol. 11(15), pages 1-14, August.
    5. Pani, Agnivesh & Mishra, Sabya & Sahu, Prasanta, 2022. "Developing multi-vehicle freight trip generation models quantifying the relationship between logistics outsourcing and insourcing decisions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    6. Holguín-Veras, José & Kalahasthi, Lokesh & Campbell, Shama & González-Calderón, Carlos A. & (Cara) Wang, Xiaokun, 2021. "Freight mode choice: Results from a nationwide qualitative and quantitative research effort," Transportation Research Part A: Policy and Practice, Elsevier, vol. 143(C), pages 78-120.
    7. Ahmed, Usman & Roorda, Matthew J., 2022. "Modelling carrier type and vehicle type choice of small and medium size firms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    8. Raphael Piendl & Martin Koning & François Combes & Gernot Liedtke, 2022. "Building latent segments of goods to improve shipment size modeling: Confirmatory evidence from France," Post-Print hal-04117547, HAL.
    9. Sahu, Prasanta K. & Qureshi, Danish & Pani, Agnivesh, 2022. "Examining commercial vehicle fleet ownership decisions and the mediating role of freight generation: A structural equation modeling assessment," Transport Policy, Elsevier, vol. 126(C), pages 26-33.
    10. Weijia (Vivian) Li & Kara M. Kockelman, 2022. "How does machine learning compare to conventional econometrics for transport data sets? A test of ML versus MLE," Growth and Change, Wiley Blackwell, vol. 53(1), pages 342-376, March.
    11. Kalahasthi, Lokesh & Holguín-Veras, José & Yushimito, Wilfredo F., 2022. "A freight origin-destination synthesis model with mode choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    12. Keya, Nowreen & Anowar, Sabreena & Bhowmik, Tanmoy & Eluru, Naveen, 2021. "A joint framework for modeling freight mode and destination choice: Application to the US commodity flow survey data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    13. Verena Maria Stockhammer & Sarah Pfoser & Karin Markvica & Jürgen Zajicek & Matthias Prandtstetter, 2021. "Behavioural Biases Distorting the Demand for Environmentally Friendly Freight Transport Modes: An Overview and Potential Measures," Sustainability, MDPI, vol. 13(21), pages 1-34, October.

  9. Hasnat, Md Mehedi & Faghih-Imani, Ahmadreza & Eluru, Naveen & Hasan, Samiul, 2019. "Destination choice modeling using location-based social media data," Journal of choice modelling, Elsevier, vol. 31(C), pages 22-34.

    Cited by:

    1. Yusuf A. Adenle & Edwin H. W. Chan & Yi Sun & C.K. Chau, 2020. "Modifiable Campus-Wide Appraisal Model (MOCAM) for Sustainability in Higher Education Institutions," Sustainability, MDPI, vol. 12(17), pages 1-19, August.
    2. Yuan Liao & Sonia Yeh & Jorge Gil, 2022. "Feasibility of estimating travel demand using geolocations of social media data," Transportation, Springer, vol. 49(1), pages 137-161, February.

  10. Naveen Eluru & Charisma F. Choudhury, 2019. "Impact of shared and autonomous vehicles on travel behavior," Transportation, Springer, vol. 46(6), pages 1971-1974, December.

    Cited by:

    1. Wali, Behram & Santi, Paolo & Ratti, Carlo, 2023. "Are californians willing to use shared automated vehicles (SAV) & renounce existing vehicles? An empirical analysis of factors determining SAV use & household vehicle ownership," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    2. Mohammed Al-Turki & Nedal T. Ratrout & Syed Masiur Rahman & Imran Reza, 2021. "Impacts of Autonomous Vehicles on Traffic Flow Characteristics under Mixed Traffic Environment: Future Perspectives," Sustainability, MDPI, vol. 13(19), pages 1-22, October.
    3. Yu Han & Changjie Chen & Zhong-Ren Peng & Pallab Mozumder, 2022. "Evaluating impacts of coastal flooding on the transportation system using an activity-based travel demand model: a case study in Miami-Dade County, FL," Transportation, Springer, vol. 49(1), pages 163-184, February.

  11. Rahman, Moshiur & Yasmin, Shamsunnahar & Eluru, Naveen, 2019. "Controlling for endogeneity between bus headway and bus ridership: A case study of the Orlando region," Transport Policy, Elsevier, vol. 81(C), pages 208-219.

    Cited by:

    1. Hwang, Hyeonjun & Lee, Myoung-jae, 2020. "A simple makeover can increase bus ridership: The story of Tayo bus," Transport Policy, Elsevier, vol. 97(C), pages 103-112.
    2. Deepa, L. & Rawoof Pinjari, Abdul & Krishna Nirmale, Sangram & Srinivasan, Karthik K. & Rambha, Tarun, 2022. "A direct demand model for bus transit ridership in Bengaluru, India," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 126-147.
    3. Bari, Chintaman S. & Chandra, Satish & Dhamaniya, Ashish & Arkatkar, Shriniwas & Navandar, Yogeshwar V., 2021. "Service time variability at manual operated tollbooths under mixed traffic environment: Towards level-of-service thresholds," Transport Policy, Elsevier, vol. 106(C), pages 11-24.

  12. Enam, Annesha & Konduri, Karthik C. & Pinjari, Abdul R. & Eluru, Naveen, 2018. "An integrated choice and latent variable model for multiple discrete continuous choice kernels: Application exploring the association between day level moods and discretionary activity engagement choi," Journal of choice modelling, Elsevier, vol. 26(C), pages 80-100.

    Cited by:

    1. Saxena, Shobhit & Pinjari, Abdul Rawoof & Paleti, Rajesh, 2022. "A multiple discrete-continuous extreme value model with ordered preferences (MDCEV-OP): Modelling framework for episode-level activity participation and time-use analysis," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 259-283.
    2. Gustavo García-Melero & Rubén Sainz-González & Pablo Coto-Millán & Alejandra Valencia-Vásquez, 2021. "Sustainable Mobility Policy Analysis Using Hybrid Choice Models: Is It the Right Choice?," Sustainability, MDPI, vol. 13(5), pages 1-16, March.
    3. Chunguang Liu & Xinyu Zuo & Xiaoning Gu & Mengru Shao & Chao Chen, 2023. "Activity Duration under the COVID-19 Pandemic: A Comparative Analysis among Different Urbanized Areas Using a Hazard-Based Duration Model," Sustainability, MDPI, vol. 15(12), pages 1-28, June.
    4. Yue Ding & Ruimin Li & Xiaokun Wang & Joshua Schmid, 2022. "Heterogeneity of autonomous vehicle adoption behavior due to peer effects and prior-AV knowledge," Transportation, Springer, vol. 49(6), pages 1837-1860, December.
    5. La Paix Puello, Lissy & Chowdhury, Saidul & Geurs, Karst, 2019. "Using panel data for modelling duration dynamics of outdoor leisure activities," Journal of choice modelling, Elsevier, vol. 31(C), pages 141-155.
    6. Saxena, Shobhit & Pinjari, Abdul Rawoof & Bhat, Chandra R., 2022. "Multiple discrete-continuous choice models with additively separable utility functions and linear utility on outside good: Model properties and characterization of demand functions," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 526-557.
    7. Giray, Caner & Yon, Belma & Alniacik, Umit & Girisken, Yener, 2022. "How does mothers’ mood matter on their choice of organic food? Controlled eye-tracking study," Journal of Business Research, Elsevier, vol. 144(C), pages 1175-1185.

  13. Sabreena Anowar & Naveen Eluru & Luis F. Miranda-Moreno, 2018. "How household transportation expenditures have evolved in Canada: a long term perspective," Transportation, Springer, vol. 45(5), pages 1297-1317, September.

    Cited by:

    1. Kumar Dey, Bibhas & Anowar, Sabreena & Eluru, Naveen, 2021. "A framework for estimating bikeshare origin destination flows using a multiple discrete continuous system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 119-133.
    2. Rodrigo J. Tapia & Gerard Jong & Ana M. Larranaga & Helena B. Bettella Cybis, 2021. "Exploring Multiple‐discreteness in Freight Transport. A Multiple Discrete Extreme Value Model Application for Grain Consolidators in Argentina," Networks and Spatial Economics, Springer, vol. 21(3), pages 581-608, September.
    3. Lebrand,Mathilde Sylvie Maria & Theophile,Ewane, 2022. "Rising Incomes, Transport Demand, and Sector Decarbonization," Policy Research Working Paper Series 10010, The World Bank.

  14. Annesha Enam & Karthik C. Konduri & Naveen Eluru & Srinath Ravulaparthy, 2018. "Relationship between well-being and daily time use of elderly: evidence from the disabilities and use of time survey," Transportation, Springer, vol. 45(6), pages 1783-1810, November.

    Cited by:

    1. Ravensbergen, Léa & Newbold, K Bruce & Ganann, Rebecca & Sinding, Christina, 2021. "‘Mobility work’: Older adults' experiences using public transportation," Journal of Transport Geography, Elsevier, vol. 97(C).
    2. Palma, David & Hess, Stephane, 2022. "Extending the Multiple Discrete Continuous (MDC) modelling framework to consider complementarity, substitution, and an unobserved budget," Transportation Research Part B: Methodological, Elsevier, vol. 161(C), pages 13-35.
    3. Rodrigo J. Tapia & Gerard Jong & Ana M. Larranaga & Helena B. Bettella Cybis, 2021. "Exploring Multiple‐discreteness in Freight Transport. A Multiple Discrete Extreme Value Model Application for Grain Consolidators in Argentina," Networks and Spatial Economics, Springer, vol. 21(3), pages 581-608, September.
    4. Ziqi Zhang & Zhi Qiu, 2020. "Exploring Daily Activity Patterns on the Typical Day of Older Adults for Supporting Aging-in-Place in China’s Rural Environment," IJERPH, MDPI, vol. 17(22), pages 1-20, November.
    5. Ralph, Kelcie & Morris, Eric A. & Kwon, Jaekyeong, 2022. "Disability, access to out-of-home activities, and subjective well-being," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 209-227.
    6. Shirgaokar, Manish & Dobbs, Bonnie & Anderson, Leah & Hussey, Emily, 2020. "Do rural older adults take fewer trips than their urban counterparts for lack of a ride?," Journal of Transport Geography, Elsevier, vol. 87(C).
    7. Katrin Lättman & Lars E. Olsson & Margareta Friman & Satoshi Fujii, 2019. "Perceived Accessibility, Satisfaction with Daily Travel, and Life Satisfaction among the Elderly," IJERPH, MDPI, vol. 16(22), pages 1-15, November.
    8. Saxena, Shobhit & Pinjari, Abdul Rawoof & Roy, Ananya & Paleti, Rajesh, 2021. "Multiple discrete-continuous choice models with bounds on consumptions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 237-265.

  15. Anowar, Sabreena & Eluru, Naveen & Hatzopoulou, Marianne, 2017. "Quantifying the value of a clean ride: How far would you bicycle to avoid exposure to traffic-related air pollution?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 66-78.

    Cited by:

    1. Lukas Burs & Ellen Roemer & Stefan Worm & Andrea Masini, 2020. "Are They All Equal? Uncovering Adopter Groups of Battery Electric Vehicles," Sustainability, MDPI, vol. 12(7), pages 1-16, April.
    2. Shanyou Duan & Qian Liu & Dumei Jiang & Yulin Jiang & Yinzhi Lin & Ziying Gong, 2021. "Exploring the Joint Impacts of Natural and Built Environments on PM 2.5 Concentrations and Their Spatial Heterogeneity in the Context of High-Density Chinese Cities," Sustainability, MDPI, vol. 13(21), pages 1-15, October.
    3. Rahat Sabyrbekov & Indra Overland, 2020. "Why Choose to Cycle in a Low-Income Country?," Sustainability, MDPI, vol. 12(18), pages 1-14, September.
    4. Roemer, Ellen & Henseler, Jörg, 2022. "The dynamics of electric vehicle acceptance in corporate fleets: Evidence from Germany," Technology in Society, Elsevier, vol. 68(C).
    5. Xie, Xiao-Feng & Wang, Zunjing Jenipher, 2018. "Examining travel patterns and characteristics in a bikesharing network and implications for data-driven decision supports: Case study in the Washington DC area," Journal of Transport Geography, Elsevier, vol. 71(C), pages 84-102.
    6. Kyuhyun Lee & Ipek N. Sener, 2019. "Understanding Potential Exposure of Bicyclists on Roadways to Traffic-Related Air Pollution: Findings from El Paso, Texas, Using Strava Metro Data," IJERPH, MDPI, vol. 16(3), pages 1-20, January.
    7. Ugo N. Castañon & Paulo J. G. Ribeiro, 2021. "Bikeability and Emerging Phenomena in Cycling: Exploratory Analysis and Review," Sustainability, MDPI, vol. 13(4), pages 1-21, February.

  16. Faghih-Imani, Ahmadreza & Hampshire, Robert & Marla, Lavanya & Eluru, Naveen, 2017. "An empirical analysis of bike sharing usage and rebalancing: Evidence from Barcelona and Seville," Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 177-191.

    Cited by:

    1. Bakó, Barna & Berezvai, Zombor & Isztin, Péter & Vigh, Enikő Zita, 2020. "Does Uber affect bicycle-sharing usage? Evidence from a natural experiment in Budapest," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 290-302.
    2. Picasso, Emilio & Postorino, Maria Nadia & Bonoli-Escobar, Mariano & Stewart-Harris, Maria, 2020. "Car-sharing vs bike-sharing: A choice experiment to understand young people behaviour," Transport Policy, Elsevier, vol. 97(C), pages 121-128.
    3. Kumar Dey, Bibhas & Anowar, Sabreena & Eluru, Naveen, 2021. "A framework for estimating bikeshare origin destination flows using a multiple discrete continuous system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 119-133.
    4. Yuanyuan Zhang & Yuming Zhang, 2018. "Associations between Public Transit Usage and Bikesharing Behaviors in The United States," Sustainability, MDPI, vol. 10(6), pages 1-20, June.
    5. Stanislav Kubaľák & Alica Kalašová & Ambróz Hájnik, 2021. "The Bike-Sharing System in Slovakia and the Impact of COVID-19 on This Shared Mobility Service in a Selected City," Sustainability, MDPI, vol. 13(12), pages 1-20, June.
    6. Liu, Hung-Chi & Lin, Jen-Jia, 2019. "Associations of built environments with spatiotemporal patterns of public bicycle use," Journal of Transport Geography, Elsevier, vol. 74(C), pages 299-312.
    7. Radzimski, Adam & Dzięcielski, Michał, 2021. "Exploring the relationship between bike-sharing and public transport in Poznań, Poland," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 189-202.
    8. Yoo, Sunbin & Hong, Sungwan & Park, Yeongkyung & Okuyama, Akihiro & Zhang, Zhaozhe & Yoshida, Yoshikuni & Managi, Shunsuke, 2021. "Danger, Respect, and Indifference: Bike-Sharing Choices in Shanghai and Tokyo using Latent Choice Models," MPRA Paper 108312, University Library of Munich, Germany.
    9. Peng Shao & Jie Liang, 2019. "An Analysis of the Factors Influencing the Sustainable Use Intention of Urban Shared Bicycles in China," Sustainability, MDPI, vol. 11(10), pages 1-13, May.
    10. Goh, Hyewon & Choi, Gahyun & Song, Yena, 2023. "How the COVID-19 pandemic changed travel behaviour? A case study on public bikes in Seoul," Research in Transportation Economics, Elsevier, vol. 101(C).
    11. Mao Ye & Yajing Chen & Guixin Yang & Bo Wang & Qizhou Hu, 2020. "Mixed Logit Models for Travelers’ Mode Shifting Considering Bike-Sharing," Sustainability, MDPI, vol. 12(5), pages 1-18, March.
    12. Maas, Suzanne & Nikolaou, Paraskevas & Attard, Maria & Dimitriou, Loukas, 2021. "Examining spatio-temporal trip patterns of bicycle sharing systems in Southern European island cities," Research in Transportation Economics, Elsevier, vol. 86(C).
    13. Jialing Zhao & Hongwei Wang & Yuxin Huang & Yuan Meng, 2020. "Does Massive Placement of Bicycles Win the Market for the Bicycle-Sharing Company in China?," Sustainability, MDPI, vol. 12(13), pages 1-14, June.
    14. Ahmadreza Faghih-Imani & Naveen Eluru, 2020. "A finite mixture modeling approach to examine New York City bicycle sharing system (CitiBike) users’ destination preferences," Transportation, Springer, vol. 47(2), pages 529-553, April.
    15. Imen Haj Salah & Vasu Dev Mukku & Malte Kania & Tom Assmann & Hartmut Zadek, 2022. "Implications of the Relocation Type and Frequency for Shared Autonomous Bike Service: Comparison between the Inner and Complete City Scenarios for Magdeburg as a Case Study," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    16. Albiński, Szymon & Fontaine, Pirmin & Minner, Stefan, 2018. "Performance analysis of a hybrid bike sharing system: A service-level-based approach under censored demand observations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 59-69.
    17. Zhitao Li & Yuzhen Shang & Guanwei Zhao & Muzhuang Yang, 2022. "Exploring the Multiscale Relationship between the Built Environment and the Metro-Oriented Dockless Bike-Sharing Usage," IJERPH, MDPI, vol. 19(4), pages 1-21, February.
    18. Georgia Aifadopoulou & Georgios Tsaples & Josep Maria Salanova Grau & Ioannis Mallidis & Nikolaos Sariannidis, 2022. "Management of resource allocation on vehicle-sharing schemes: the case of Thessaloniki’s bike-sharing system," Operational Research, Springer, vol. 22(2), pages 1001-1016, April.
    19. Maas, Suzanne & Nikolaou, Paraskevas & Attard, Maria & Dimitriou, Loukas, 2021. "Spatial and temporal analysis of shared bicycle use in Limassol, Cyprus," Journal of Transport Geography, Elsevier, vol. 93(C).
    20. Mix, Richard & Hurtubia, Ricardo & Raveau, Sebastián, 2022. "Optimal location of bike-sharing stations: A built environment and accessibility approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 126-142.
    21. Wu, Liyu & Gu, Weihua & Fan, Wenbo & Cassidy, Michael J., 2020. "Optimal design of transit networks fed by shared bikes," Transportation Research Part B: Methodological, Elsevier, vol. 131(C), pages 63-83.
    22. Kim, Minjun & Cho, Gi-Hyoug, 2021. "Analysis on bike-share ridership for origin-destination pairs: Effects of public transit route characteristics and land-use patterns," Journal of Transport Geography, Elsevier, vol. 93(C).
    23. Liang Gao & Wei Xu & Yifeng Duan, 2019. "Dynamic Scheduling Based on Predicted Inventory Variation Rate for Public Bicycle System," Sustainability, MDPI, vol. 11(7), pages 1-11, March.
    24. Dong, Xiaoyang & Zhang, Bin & Wang, Zhaohua, 2023. "Impact of land use on bike-sharing travel patterns: Evidence from large scale data analysis in China," Land Use Policy, Elsevier, vol. 133(C).
    25. Bi, Hui & Li, Aoyong & Hua, Mingzhuang & Zhu, He & Ye, Zhirui, 2022. "Examining the varying influences of built environment on bike-sharing commuting: Empirical evidence from Shanghai," Transport Policy, Elsevier, vol. 129(C), pages 51-65.
    26. Gao, Jiong & Ma, Shoufeng & Wang, Lei & Shuai, Ling & Du, Huibin, 2023. "Does greenness bring more green travelling? Evidence from free-floating bike-sharing in Beijing," Journal of Transport Geography, Elsevier, vol. 109(C).
    27. Li, Xin & Luo, Yue & Wang, Tianqi & Jia, Peng & Kuang, Haibo, 2020. "An integrated approach for optimizing bi-modal transit networks fed by shared bikes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    28. Cheng, Yao & Wang, Junwei & Wang, Yan, 2021. "A user-based bike rebalancing strategy for free-floating bike sharing systems: A bidding model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
    29. Xing, Yingying & Wang, Ke & Lu, Jian John, 2020. "Exploring travel patterns and trip purposes of dockless bike-sharing by analyzing massive bike-sharing data in Shanghai, China," Journal of Transport Geography, Elsevier, vol. 87(C).
    30. Tianjian Yang & Ye Li & Simin Zhou & Yu Zhang, 2019. "Dynamic Feedback Analysis of Influencing Factors and Challenges of Dockless Bike-Sharing Sustainability in China," Sustainability, MDPI, vol. 11(17), pages 1-17, August.
    31. Yao Yao & Linwei Liu & Zibin Guo & Ziheng Liu & Huiyu Zhou, 2018. "Experimental Study on Shared Bike Use Behavior under Bounded Rational Theory and Credit Supervision Mechanism," Sustainability, MDPI, vol. 11(1), pages 1-23, December.
    32. Zhao, De & Ong, Ghim Ping & Wang, Wei & Hu, Xiao Jian, 2019. "Effect of built environment on shared bicycle reallocation: A case study on Nanjing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 128(C), pages 73-88.
    33. Dehdari Ebrahimi, Zhila & Momenitabar, Mohsen & Nasri, Arefeh A. & Mattson, Jeremy, 2022. "Using a GIS-based spatial approach to determine the optimal locations of bikeshare stations: The case of Washington D.C," Transport Policy, Elsevier, vol. 127(C), pages 48-60.
    34. Yi Yao & Yifang Zhang & Lixin Tian & Nianxing Zhou & Zhilin Li & Minggang Wang, 2019. "Analysis of Network Structure of Urban Bike-Sharing System: A Case Study Based on Real-Time Data of a Public Bicycle System," Sustainability, MDPI, vol. 11(19), pages 1-17, September.
    35. Sun, Lishan & Wang, Shunchao & Liu, Shuli & Yao, Liya & Luo, Wei & Shukla, Ashish, 2018. "A completive research on the feasibility and adaptation of shared transportation in mega-cities – A case study in Beijing," Applied Energy, Elsevier, vol. 230(C), pages 1014-1033.
    36. Li, Aoyong & Zhao, Pengxiang & Huang, Yizhe & Gao, Kun & Axhausen, Kay W., 2020. "An empirical analysis of dockless bike-sharing utilization and its explanatory factors: Case study from Shanghai, China," Journal of Transport Geography, Elsevier, vol. 88(C).
    37. Fabio Kon & Éderson Cássio Ferreira & Higor Amario Souza & Fábio Duarte & Paolo Santi & Carlo Ratti, 2022. "Abstracting mobility flows from bike-sharing systems," Public Transport, Springer, vol. 14(3), pages 545-581, October.
    38. Xie, Xiao-Feng & Wang, Zunjing Jenipher, 2018. "Examining travel patterns and characteristics in a bikesharing network and implications for data-driven decision supports: Case study in the Washington DC area," Journal of Transport Geography, Elsevier, vol. 71(C), pages 84-102.
    39. Bergantino, Angela Stefania & Intini, Mario & Tangari, Luca, 2021. "Influencing factors for potential bike-sharing users: an empirical analysis during the COVID-19 pandemic," Research in Transportation Economics, Elsevier, vol. 86(C).
    40. Zhang, Ziru & Krishnakumari, Panchamy & Schulte, Frederik & van Oort, Niels, 2023. "Improving the service of E-bike sharing by demand pattern analysis: A data-driven approach," Research in Transportation Economics, Elsevier, vol. 101(C).
    41. Shuhong Ma & Yechao Zhou & Zhoulin Yu & Yan Zhang, 2019. "College Students’ Shared Bicycle Use Behavior Based on the NL Model and Factor Analysis," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    42. Rayane El Sibai & Khalil Challita & Jacques Bou Abdo & Jacques Demerjian, 2021. "A New User-Based Incentive Strategy for Improving Bike Sharing Systems’ Performance," Sustainability, MDPI, vol. 13(5), pages 1-18, March.
    43. Elżbieta Macioszek & Paulina Świerk & Agata Kurek, 2020. "The Bike-Sharing System as an Element of Enhancing Sustainable Mobility—A Case Study based on a City in Poland," Sustainability, MDPI, vol. 12(8), pages 1-29, April.
    44. Smith, C. Scott & Schwieterman, Joseph P., 2021. "Using multivariate adaptive regression splining (MARS) to identify factors affecting the performance of dock-based bikesharing: The case of Chicago’s Divvy system," Research in Transportation Economics, Elsevier, vol. 89(C).
    45. Suzanne Maas & Paraskevas Nikolaou & Maria Attard & Loukas Dimitriou, 2021. "Heat, Hills and the High Season: A Model-Based Comparative Analysis of Spatio-Temporal Factors Affecting Shared Bicycle Use in Three Southern European Islands," Sustainability, MDPI, vol. 13(6), pages 1-21, March.
    46. Ugo N. Castañon & Paulo J. G. Ribeiro, 2021. "Bikeability and Emerging Phenomena in Cycling: Exploratory Analysis and Review," Sustainability, MDPI, vol. 13(4), pages 1-21, February.
    47. Xueying Wu & Yi Lu & Yaoyu Lin & Yiyang Yang, 2019. "Measuring the Destination Accessibility of Cycling Transfer Trips in Metro Station Areas: A Big Data Approach," IJERPH, MDPI, vol. 16(15), pages 1-16, July.
    48. Akbari Majid & Zarghamfard Moslem & Hajisharifi Arezoo & Amir Entekhabi Shahram & Goodarzipour Sadrallah, 2022. "Modelling the Obstacles to using Bicycle Sharing Systems in the Tehran Metropolis: A Structural Analysis," Quaestiones Geographicae, Sciendo, vol. 41(2), pages 109-124, June.
    49. William A. Massey & Emmanuel Ekwedike & Robert C. Hampshire & Jamol J. Pender, 2023. "A transient symmetry analysis for the M/M/1/k queue," Queueing Systems: Theory and Applications, Springer, vol. 103(1), pages 1-43, February.
    50. Song, Jie & Zhang, Liye & Qin, Zheng & Ramli, Muhamad Azfar, 2021. "Where are public bikes? The decline of dockless bike-sharing supply in Singapore and its resulting impact on ridership activities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 72-90.
    51. Gu, Wei & Yu, Xiaoru & Zhang, Shichen & Yan, Xiangbin & Wang, Chen, 2023. "To outsource or not: Bike-share rebalancing strategies under the service quality deviation of a third party," European Journal of Operational Research, Elsevier, vol. 310(2), pages 847-859.
    52. Tomasz Bieliński & Agnieszka Kwapisz & Agnieszka Ważna, 2019. "Bike-Sharing Systems in Poland," Sustainability, MDPI, vol. 11(9), pages 1-14, April.
    53. Jean-Philippe Meloche & Vincent Trotignon & François Vaillancourt, 2021. "Densification ou prolongement des réseaux de transport structurants ? Une recension des écrits sur les coûts et les bénéfices attendus," CIRANO Project Reports 2020rp-28, CIRANO.
    54. Li, Haojie & Zhang, Yingheng & Ding, Hongliang & Ren, Gang, 2019. "Effects of dockless bike-sharing systems on the usage of the London Cycle Hire," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 398-411.
    55. Anaya-Boig, Esther & Cebollada, Àngel & Castelló Bueno, Marc, 2022. "Measuring spatial inequalities in the access to station-based bike-sharing in Barcelona using an Adapted Affordability Index," Journal of Transport Geography, Elsevier, vol. 98(C).
    56. Shukui Tan & Yi Zhao & Wenke Huang, 2019. "Neighborhood Social Disadvantage and Bicycling Behavior: A Big Data-Spatial Approach Based on Social Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(3), pages 985-999, October.
    57. Gu, Wei & Li, Meng & Wang, Chen & Shang, Jennifer & Wei, Lirong, 2021. "Strategic sourcing selection for bike-sharing rebalancing: An evolutionary game approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).

  17. Paleti, Rajesh & Faghih Imani, Ahmadreza & Eluru, Naveen & Hu, Hsi-Hwa & Huang, Guoxiong, 2017. "An integrated model of intensity of activity opportunities on supply side and tour destination & departure time choices on demand side," Journal of choice modelling, Elsevier, vol. 24(C), pages 63-74.

    Cited by:

    1. Keya, Nowreen & Anowar, Sabreena & Bhowmik, Tanmoy & Eluru, Naveen, 2021. "A joint framework for modeling freight mode and destination choice: Application to the US commodity flow survey data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).

  18. Faghih-Imani, Ahmadreza & Anowar, Sabreena & Miller, Eric J. & Eluru, Naveen, 2017. "Hail a cab or ride a bike? A travel time comparison of taxi and bicycle-sharing systems in New York City," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 11-21.

    Cited by:

    1. Bakó, Barna & Berezvai, Zombor & Isztin, Péter & Vigh, Enikő Zita, 2020. "Does Uber affect bicycle-sharing usage? Evidence from a natural experiment in Budapest," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 290-302.
    2. Todd, James & O'Brien, Oliver & Cheshire, James, 2021. "A global comparison of bicycle sharing systems," Journal of Transport Geography, Elsevier, vol. 94(C).
    3. Gao, Kun & Yang, Ying & Li, Aoyong & Li, Junhong & Yu, Bo, 2021. "Quantifying economic benefits from free-floating bike-sharing systems: A trip-level inference approach and city-scale analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 89-103.
    4. Teixeira, João Filipe & Silva, Cecília & Moura e Sá, Frederico, 2023. "Factors influencing modal shift to bike sharing: Evidence from a travel survey conducted during COVID-19," Journal of Transport Geography, Elsevier, vol. 111(C).
    5. Cao, Zhejing & Zhang, Xiaohu & Chua, Kelman & Yu, Honghai & Zhao, Jinhua, 2021. "E-scooter sharing to serve short-distance transit trips: A Singapore case," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 177-196.
    6. Liu, Junrong & Duan, Qihong & Ma, Wen-Xiu, 2020. "The evolution of a clogging sidewalk caused by a dockless bicycle-sharing system: A stochastic particles model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 177(C), pages 516-526.
    7. Albiński, Szymon & Fontaine, Pirmin & Minner, Stefan, 2018. "Performance analysis of a hybrid bike sharing system: A service-level-based approach under censored demand observations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 59-69.
    8. He, Brian Y. & Zhou, Jinkai & Ma, Ziyi & Chow, Joseph Y.J. & Ozbay, Kaan, 2020. "Evaluation of city-scale built environment policies in New York City with an emerging-mobility-accessible synthetic population," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 444-467.
    9. Hu, Yujie & Zhang, Yongping & Lamb, David & Zhang, Mingming & Jia, Peng, 2019. "Examining and optimizing the BCycle bike-sharing system – A pilot study in Colorado, US," Applied Energy, Elsevier, vol. 247(C), pages 1-12.
    10. Wang, Hai & Yang, Hai, 2019. "Ridesourcing systems: A framework and review," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 122-155.
    11. Kirtonia, Sajeeb & Sun, Yanshuo, 2022. "Evaluating rail transit's comparative advantages in travel cost and time over taxi with open data in two U.S. cities," Transport Policy, Elsevier, vol. 115(C), pages 75-87.
    12. Tang, Jinjun & Gao, Fan & Han, Chunyang & Cen, Xuekai & Li, Zhitao, 2021. "Uncovering the spatially heterogeneous effects of shared mobility on public transit and taxi," Journal of Transport Geography, Elsevier, vol. 95(C).
    13. Zhou, Xiaolu & Wang, Mingshu & Li, Dongying, 2019. "Bike-sharing or taxi? Modeling the choices of travel mode in Chicago using machine learning," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    14. Dehdari Ebrahimi, Zhila & Momenitabar, Mohsen & Nasri, Arefeh A. & Mattson, Jeremy, 2022. "Using a GIS-based spatial approach to determine the optimal locations of bikeshare stations: The case of Washington D.C," Transport Policy, Elsevier, vol. 127(C), pages 48-60.
    15. Li, Lili & Li, Xiaohan & Yu, Senbin & Li, Xiaojia & Dai, Jiaqi, 2022. "Unbalanced usage of free-floating bike sharing connecting with metro stations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
    16. Ding, Hongliang & Lu, Yuhuan & Sze, N.N. & Li, Haojie, 2022. "Effect of dockless bike-sharing scheme on the demand for London Cycle Hire at the disaggregate level using a deep learning approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 150-163.
    17. Oviedo, Daniel & Sabogal-Cardona, Orlando, 2022. "Arguments for cycling as a mechanism for sustainable modal shifts in Bogotá," Journal of Transport Geography, Elsevier, vol. 99(C).
    18. Sun, Yanshuo & Kirtonia, Sajeeb, 2020. "Identifying regional characteristics of transportation research with Transport Research International Documentation (TRID) data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 111-130.
    19. Wang, Yacan & Yang, Ying & Wang, Jiaping & Douglas, Matthew & Su, Duan, 2021. "Examining the influence of social norms on orderly parking behavior of dockless bike-sharing users," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 284-296.
    20. Papaix, Claire & Eranova, Mariya & Zhou, Li, 2023. "Shared mobility research: Looking through a paradox lens," Transport Policy, Elsevier, vol. 133(C), pages 156-167.
    21. Lei, Yiyuan & Ozbay, Kaan, 2021. "A robust analysis of the impacts of the stay-at-home policy on taxi and Citi Bike usage: A case study of Manhattan," Transport Policy, Elsevier, vol. 110(C), pages 487-498.

  19. Pinjari, Abdul Rawoof & Augustin, Bertho & Sivaraman, Vijayaraghavan & Faghih Imani, Ahmadreza & Eluru, Naveen & Pendyala, Ram M., 2016. "Stochastic frontier estimation of budgets for Kuhn–Tucker demand systems: Application to activity time-use analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 117-133.

    Cited by:

    1. Bhat, Chandra R. & Mondal, Aupal & Asmussen, Katherine E. & Bhat, Aarti C., 2020. "A multiple discrete extreme value choice model with grouped consumption data and unobserved budgets," Transportation Research Part B: Methodological, Elsevier, vol. 141(C), pages 196-222.
    2. Astroza, Sebastian & Bhat, Prerna C. & Bhat, Chandra R. & Pendyala, Ram M. & Garikapati, Venu M., 2018. "Understanding activity engagement across weekdays and weekend days: A multivariate multiple discrete-continuous modeling approach," Journal of choice modelling, Elsevier, vol. 28(C), pages 56-70.
    3. Pellegrini, Andrea & Pinjari, Abdul Rawoof & Maggi, Rico, 2021. "A multiple discrete continuous model of time use that accommodates non-additively separable utility functions along with time and monetary budget constraints," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 37-53.
    4. de Grange, Louis & Troncoso, Rodrigo & Briones, Ignacio, 2018. "Cost, production and efficiency in local bus industry: An empirical analysis for the bus system of Santiago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 108(C), pages 1-11.
    5. Enam, Annesha & Konduri, Karthik C. & Pinjari, Abdul R. & Eluru, Naveen, 2018. "An integrated choice and latent variable model for multiple discrete continuous choice kernels: Application exploring the association between day level moods and discretionary activity engagement choi," Journal of choice modelling, Elsevier, vol. 26(C), pages 80-100.
    6. Saxena, Shobhit & Pinjari, Abdul Rawoof & Paleti, Rajesh, 2022. "A multiple discrete-continuous extreme value model with ordered preferences (MDCEV-OP): Modelling framework for episode-level activity participation and time-use analysis," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 259-283.
    7. Ke Wang & Xin Ye, 2021. "Development of alternative stochastic frontier models for estimating time-space prism vertices," Transportation, Springer, vol. 48(2), pages 773-807, April.
    8. Bhat, Chandra R., 2022. "A new closed-form two-stage budgeting-based multiple discrete-continuous model," Transportation Research Part B: Methodological, Elsevier, vol. 164(C), pages 162-192.
    9. Morris, Eric A. & Blumenberg, Evelyn & Guerra, Erick, 2020. "Does lacking a car put the brakes on activity participation? Private vehicle access and access to opportunities among low-income adults," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 375-397.
    10. Andrea Pellegrini & Igor Sarman & Rico Maggi, 2021. "Understanding tourists’ expenditure patterns: a stochastic frontier approach within the framework of multiple discrete–continuous choices," Transportation, Springer, vol. 48(2), pages 931-951, April.
    11. Pinjari, Abdul Rawoof & Bhat, Chandra, 2021. "Computationally efficient forecasting procedures for Kuhn-Tucker consumer demand model systems: Application to residential energy consumption analysis," Journal of choice modelling, Elsevier, vol. 39(C).

  20. Faghih-Imani, Ahmadreza & Eluru, Naveen, 2016. "Determining the role of bicycle sharing system infrastructure installation decision on usage: Case study of montreal BIXI system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 685-698.

    Cited by:

    1. Kumar Dey, Bibhas & Anowar, Sabreena & Eluru, Naveen, 2021. "A framework for estimating bikeshare origin destination flows using a multiple discrete continuous system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 119-133.
    2. Wang, Jueyu & Lindsey, Greg, 2019. "Do new bike share stations increase member use: A quasi-experimental study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 1-11.
    3. Elnert Coenegrachts & Joris Beckers & Thierry Vanelslander & Ann Verhetsel, 2021. "Business Model Blueprints for the Shared Mobility Hub Network," Sustainability, MDPI, vol. 13(12), pages 1-24, June.
    4. Hyland, Michael & Hong, Zihan & Pinto, Helen Karla Ramalho de Farias & Chen, Ying, 2018. "Hybrid cluster-regression approach to model bikeshare station usage," Transportation Research Part A: Policy and Practice, Elsevier, vol. 115(C), pages 71-89.
    5. Liu, Hung-Chi & Lin, Jen-Jia, 2019. "Associations of built environments with spatiotemporal patterns of public bicycle use," Journal of Transport Geography, Elsevier, vol. 74(C), pages 299-312.
    6. Albiński, Szymon & Fontaine, Pirmin & Minner, Stefan, 2018. "Performance analysis of a hybrid bike sharing system: A service-level-based approach under censored demand observations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 59-69.
    7. Hu, Songhua & Chen, Mingyang & Jiang, Yuan & Sun, Wei & Xiong, Chenfeng, 2022. "Examining factors associated with bike-and-ride (BnR) activities around metro stations in large-scale dockless bikesharing systems," Journal of Transport Geography, Elsevier, vol. 98(C).
    8. Mix, Richard & Hurtubia, Ricardo & Raveau, Sebastián, 2022. "Optimal location of bike-sharing stations: A built environment and accessibility approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 126-142.
    9. Wang, Kailai & Chen, Yu-Jen, 2020. "Joint analysis of the impacts of built environment on bikeshare station capacity and trip attractions," Journal of Transport Geography, Elsevier, vol. 82(C).
    10. Link, Christoph & Strasser, Christoph & Hinterreiter, Michael, 2020. "Free-floating bikesharing in Vienna – A user behaviour analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 168-182.
    11. Faghih-Imani, Ahmadreza & Anowar, Sabreena & Miller, Eric J. & Eluru, Naveen, 2017. "Hail a cab or ride a bike? A travel time comparison of taxi and bicycle-sharing systems in New York City," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 11-21.
    12. Wang, Yacan & Li, Jingjing & Su, Duan & Zhou, Huiyu, 2023. "Spatial-temporal heterogeneity and built environment nonlinearity in inconsiderate parking of dockless bike-sharing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    13. Rui Zhao & Linchuan Yang & Xinrong Liang & Yuanyuan Guo & Yi Lu & Yixuan Zhang & Xinyun Ren, 2019. "Last-Mile Travel Mode Choice: Data-Mining Hybrid with Multiple Attribute Decision Making," Sustainability, MDPI, vol. 11(23), pages 1-15, November.
    14. Hu, Songhua & Xiong, Chenfeng & Liu, Zhanqin & Zhang, Lei, 2021. "Examining spatiotemporal changing patterns of bike-sharing usage during COVID-19 pandemic," Journal of Transport Geography, Elsevier, vol. 91(C).
    15. Biehl, Alec & Ermagun, Alireza & Stathopoulos, Amanda, 2018. "Community mobility MAUP-ing: A socio-spatial investigation of bikeshare demand in Chicago," Journal of Transport Geography, Elsevier, vol. 66(C), pages 80-90.
    16. Suzanne Maas & Paraskevas Nikolaou & Maria Attard & Loukas Dimitriou, 2021. "Heat, Hills and the High Season: A Model-Based Comparative Analysis of Spatio-Temporal Factors Affecting Shared Bicycle Use in Three Southern European Islands," Sustainability, MDPI, vol. 13(6), pages 1-21, March.
    17. Bakó, Barna & Isztin, Péter & Berezvai, Zombor & Cseke, Petra Zsuzsanna, 2019. "Infrastruktúra-bővítés világversenyek idején. A Mol Bubi esete a FINA világbajnoksággal [Infrastructural investments for international sports events. Network expansion of the MOL Bubi bicycle-shari," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 4-21.

  21. Chakour, Vincent & Eluru, Naveen, 2016. "Examining the influence of stop level infrastructure and built environment on bus ridership in Montreal," Journal of Transport Geography, Elsevier, vol. 51(C), pages 205-217.

    Cited by:

    1. Karnberger, Stephan & Antoniou, Constantinos, 2020. "Network–wide prediction of public transportation ridership using spatio–temporal link–level information," Journal of Transport Geography, Elsevier, vol. 82(C).
    2. Miao, Qing & Welch, Eric W. & Sriraj, P.S., 2019. "Extreme weather, public transport ridership and moderating effect of bus stop shelters," Journal of Transport Geography, Elsevier, vol. 74(C), pages 125-133.
    3. Wu, Pan & Xu, Lunhui & Zhong, Lingshu & Gao, Kun & Qu, Xiaobo & Pei, Mingyang, 2022. "Revealing the determinants of the intermodal transfer ratio between metro and bus systems considering spatial variations," Journal of Transport Geography, Elsevier, vol. 104(C).
    4. Aston, Laura & Currie, Graham & Kamruzzaman, Md. & Delbosc, Alexa & Teller, David, 2020. "Study design impacts on built environment and transit use research," Journal of Transport Geography, Elsevier, vol. 82(C).
    5. Simon Berrebi & Sanskruti Joshi & Kari E Watkins, 2020. "On Ridership and Frequency," Papers 2002.02493, arXiv.org, revised Apr 2021.
    6. Xin, Mengwei & Shalaby, Amer & Feng, Shumin & Zhao, Hu, 2021. "Impacts of COVID-19 on urban rail transit ridership using the Synthetic Control Method," Transport Policy, Elsevier, vol. 111(C), pages 1-16.
    7. Yu, Haitao & Peng, Zhong-Ren, 2019. "Exploring the spatial variation of ridesourcing demand and its relationship to built environment and socioeconomic factors with the geographically weighted Poisson regression," Journal of Transport Geography, Elsevier, vol. 75(C), pages 147-163.
    8. Su, Shiliang & Zhao, Chong & Zhou, Hao & Li, Bozhao & Kang, Mengjun, 2022. "Unraveling the relative contribution of TOD structural factors to metro ridership: A novel localized modeling approach with implications on spatial planning," Journal of Transport Geography, Elsevier, vol. 100(C).
    9. Faghih-Imani, Ahmadreza & Eluru, Naveen, 2016. "Determining the role of bicycle sharing system infrastructure installation decision on usage: Case study of montreal BIXI system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 685-698.
    10. Fan Gao & Jinjun Tang & Zhitao Li, 2022. "Effects of spatial units and travel modes on urban commuting demand modeling," Transportation, Springer, vol. 49(6), pages 1549-1575, December.
    11. Tang, Jinjun & Gao, Fan & Han, Chunyang & Cen, Xuekai & Li, Zhitao, 2021. "Uncovering the spatially heterogeneous effects of shared mobility on public transit and taxi," Journal of Transport Geography, Elsevier, vol. 95(C).
    12. Mu Lin & Zhengdong Huang & Tianhong Zhao & Ying Zhang & Heyi Wei, 2022. "Spatiotemporal Evolution of Travel Pattern Using Smart Card Data," Sustainability, MDPI, vol. 14(15), pages 1-16, August.
    13. Rahman, Moshiur & Yasmin, Shamsunnahar & Eluru, Naveen, 2020. "A joint panel binary logit and fractional split model for converting route-level transit ridership data to stop-level boarding and alighting data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 1-16.
    14. Cui, Boer & DeWeese, James & Wu, Hao & King, David A. & Levinson, David & El-Geneidy, Ahmed, 2022. "All ridership is local: Accessibility, competition, and stop-level determinants of daily bus boardings in Portland, Oregon," Journal of Transport Geography, Elsevier, vol. 99(C).
    15. Deepa, L. & Rawoof Pinjari, Abdul & Krishna Nirmale, Sangram & Srinivasan, Karthik K. & Rambha, Tarun, 2022. "A direct demand model for bus transit ridership in Bengaluru, India," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 126-147.
    16. Berrebi, Simon J. & Joshi, Sanskruti & Watkins, Kari E., 2021. "On bus ridership and frequency," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 140-154.
    17. Merkebe Getachew Demissie & Lina Kattan, 2022. "Understanding the temporal and spatial interactions between transit ridership and urban land-use patterns: an exploratory study," Public Transport, Springer, vol. 14(2), pages 385-417, June.
    18. Morikawa, So & Aoyama, Miwa & Kato, Hironori, 2023. "Development of railway station plazas: Impact on land prices of surrounding areas," Transport Policy, Elsevier, vol. 142(C), pages 1-14.
    19. Ingvardson, Jesper Bláfoss & Nielsen, Otto Anker, 2018. "How urban density, network topology and socio-economy influence public transport ridership: Empirical evidence from 48 European metropolitan areas," Journal of Transport Geography, Elsevier, vol. 72(C), pages 50-63.
    20. Jurkowski Wojciech & Smolarski Mateusz, 2021. "The influence of transport offer on passenger traffic in the railway transport system in a post-socialist country: case study of Poland," Bulletin of Geography. Socio-economic Series, Sciendo, vol. 53(53), pages 33-42, September.
    21. Tu, Wei & Cao, Rui & Yue, Yang & Zhou, Baoding & Li, Qiuping & Li, Qingquan, 2018. "Spatial variations in urban public ridership derived from GPS trajectories and smart card data," Journal of Transport Geography, Elsevier, vol. 69(C), pages 45-57.
    22. Kevin Lanza & Casey P. Durand, 2021. "Heat-Moderating Effects of Bus Stop Shelters and Tree Shade on Public Transport Ridership," IJERPH, MDPI, vol. 18(2), pages 1-15, January.
    23. Ehab Diab & Jamie DeWeese & Nick Chaloux & Ahmed El-Geneidy, 2021. "Adjusting the service? Understanding the factors affecting bus ridership over time at the route level in Montréal, Canada," Transportation, Springer, vol. 48(5), pages 2765-2786, October.
    24. Kim, Ja Young & Bartholomew, Keith & Ewing, Reid, 2020. "Another one rides the bus? The connections between bus stop amenities, bus ridership, and ADA paratransit demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 280-288.
    25. Gao, Fan & Yang, Linchuan & Han, Chunyang & Tang, Jinjun & Li, Zhitao, 2022. "A network-distance-based geographically weighted regression model to examine spatiotemporal effects of station-level built environments on metro ridership," Journal of Transport Geography, Elsevier, vol. 105(C).
    26. Lanjing Wang & Chunli Zhao & Xiaofei Liu & Xumei Chen & Chaoyang Li & Tao Wang & Jiani Wu & Yi Zhang, 2021. "Non-Linear Effects of the Built Environment and Social Environment on Bus Use among Older Adults in China: An Application of the XGBoost Model," IJERPH, MDPI, vol. 18(18), pages 1-22, September.
    27. Diab, Ehab & Kasraian, Dena & Miller, Eric J. & Shalaby, Amer, 2020. "The rise and fall of transit ridership across Canada: Understanding the determinants," Transport Policy, Elsevier, vol. 96(C), pages 101-112.
    28. Keya, Nowreen & Anowar, Sabreena & Eluru, Naveen, 2019. "Joint model of freight mode choice and shipment size: A copula-based random regret minimization framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 97-115.
    29. Jiaoe Wang & Yanan Li & Jingjuan Jiao & Haitao Jin & Fangye Du, 2023. "Bus ridership and its determinants in Beijing: A spatial econometric perspective," Transportation, Springer, vol. 50(2), pages 383-406, April.
    30. Ding, Chuan & Cao, Xinyu & Liu, Chao, 2019. "How does the station-area built environment influence Metrorail ridership? Using gradient boosting decision trees to identify non-linear thresholds," Journal of Transport Geography, Elsevier, vol. 77(C), pages 70-78.
    31. Deepa, L. & Pinjari, Abdul Rawoof & Nirmale, Sangram Krishna & Biswas, Mehek & Srinivasan, Karthik K., 2023. "The adverse impact of headway variability on bus transit ridership: Evidence from Bengaluru, India," Transport Policy, Elsevier, vol. 141(C), pages 343-356.

  22. Faghih-Imani, Ahmadreza & Eluru, Naveen, 2016. "Incorporating the impact of spatio-temporal interactions on bicycle sharing system demand: A case study of New York CitiBike system," Journal of Transport Geography, Elsevier, vol. 54(C), pages 218-227.

    Cited by:

    1. Kumar Dey, Bibhas & Anowar, Sabreena & Eluru, Naveen, 2021. "A framework for estimating bikeshare origin destination flows using a multiple discrete continuous system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 119-133.
    2. Hyland, Michael & Hong, Zihan & Pinto, Helen Karla Ramalho de Farias & Chen, Ying, 2018. "Hybrid cluster-regression approach to model bikeshare station usage," Transportation Research Part A: Policy and Practice, Elsevier, vol. 115(C), pages 71-89.
    3. Liu, Hung-Chi & Lin, Jen-Jia, 2019. "Associations of built environments with spatiotemporal patterns of public bicycle use," Journal of Transport Geography, Elsevier, vol. 74(C), pages 299-312.
    4. Wang, Xudong & Cheng, Zhanhong & Trépanier, Martin & Sun, Lijun, 2021. "Modeling bike-sharing demand using a regression model with spatially varying coefficients," Journal of Transport Geography, Elsevier, vol. 93(C).
    5. Yixiao Li & Zhaoxin Dai & Lining Zhu & Xiaoli Liu, 2019. "Analysis of Spatial and Temporal Characteristics of Citizens’ Mobility Based on E-Bike GPS Trajectory Data in Tengzhou City, China," Sustainability, MDPI, vol. 11(18), pages 1-17, September.
    6. De Zhao & Ghim Ping Ong & Wei Wang & Wei Zhou, 2021. "Estimating Public Bicycle Trip Characteristics with Consideration of Built Environment Data," Sustainability, MDPI, vol. 13(2), pages 1-13, January.
    7. Wu, Xueying & Lu, Yi & Gong, Yongxi & Kang, Yuhao & Yang, Linchuan & Gou, Zhonghua, 2021. "The impacts of the built environment on bicycle-metro transfer trips: A new method to delineate metro catchment area based on people's actual cycling space," Journal of Transport Geography, Elsevier, vol. 97(C).
    8. Zhang, Ze & Guo, Yuchen & Feng, Li, 2022. "Externalities of dockless bicycle-sharing systems: Implications for green recovery of the transportation sector," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 410-419.
    9. Albiński, Szymon & Fontaine, Pirmin & Minner, Stefan, 2018. "Performance analysis of a hybrid bike sharing system: A service-level-based approach under censored demand observations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 59-69.
    10. Hu, Songhua & Chen, Mingyang & Jiang, Yuan & Sun, Wei & Xiong, Chenfeng, 2022. "Examining factors associated with bike-and-ride (BnR) activities around metro stations in large-scale dockless bikesharing systems," Journal of Transport Geography, Elsevier, vol. 98(C).
    11. Zhitao Li & Yuzhen Shang & Guanwei Zhao & Muzhuang Yang, 2022. "Exploring the Multiscale Relationship between the Built Environment and the Metro-Oriented Dockless Bike-Sharing Usage," IJERPH, MDPI, vol. 19(4), pages 1-21, February.
    12. Mix, Richard & Hurtubia, Ricardo & Raveau, Sebastián, 2022. "Optimal location of bike-sharing stations: A built environment and accessibility approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 126-142.
    13. Xin, Rui & Yang, Jian & Ai, Bo & Ding, Linfang & Li, Tingting & Zhu, Ruoxin, 2023. "Spatiotemporal analysis of bike mobility chain: A new perspective on mobility pattern discovery in urban bike-sharing system," Journal of Transport Geography, Elsevier, vol. 109(C).
    14. Hua, Mingzhuang & Chen, Xuewu & Chen, Jingxu & Huang, Di & Cheng, Long, 2022. "Large-scale dockless bike sharing repositioning considering future usage and workload balance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    15. Rodrigo Mora & Pablo Moran, 2020. "Public Bike Sharing Programs Under the Prism of Urban Planning Officials: The Case of Santiago de Chile," Sustainability, MDPI, vol. 12(14), pages 1-20, July.
    16. Faghih-Imani, Ahmadreza & Eluru, Naveen, 2016. "Determining the role of bicycle sharing system infrastructure installation decision on usage: Case study of montreal BIXI system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 685-698.
    17. Shuo Zhang & Li Chen & Yingzi Li, 2021. "Shared Bicycle Distribution Connected to Subway Line Considering Citizens’ Morning Peak Social Characteristics for Urban Low-Carbon Development," Sustainability, MDPI, vol. 13(16), pages 1-19, August.
    18. Wang, Kailai & Chen, Yu-Jen, 2020. "Joint analysis of the impacts of built environment on bikeshare station capacity and trip attractions," Journal of Transport Geography, Elsevier, vol. 82(C).
    19. Link, Christoph & Strasser, Christoph & Hinterreiter, Michael, 2020. "Free-floating bikesharing in Vienna – A user behaviour analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 168-182.
    20. Zhang, Ying & Thomas, Tom & Brussel, Mark & van Maarseveen, Martin, 2017. "Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan, China," Journal of Transport Geography, Elsevier, vol. 58(C), pages 59-70.
    21. Jie Bao & Chengcheng Xu & Pan Liu & Wei Wang, 2017. "Exploring Bikesharing Travel Patterns and Trip Purposes Using Smart Card Data and Online Point of Interests," Networks and Spatial Economics, Springer, vol. 17(4), pages 1231-1253, December.
    22. Zhou, Xiaolu & Wang, Mingshu & Li, Dongying, 2019. "Bike-sharing or taxi? Modeling the choices of travel mode in Chicago using machine learning," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    23. Guidon, Sergio & Reck, Daniel J. & Axhausen, Kay, 2020. "Expanding a(n) (electric) bicycle-sharing system to a new city: Prediction of demand with spatial regression and random forests," Journal of Transport Geography, Elsevier, vol. 84(C).
    24. Bumseok Chun & Anh Nguyen & Qisheng Pan & Elaheh Mirzaaghazadeh, 2024. "Spatial Analysis of Bike-Sharing Ridership for Sustainable Transportation in Houston, Texas," Sustainability, MDPI, vol. 16(6), pages 1-19, March.
    25. Rahman, Moshiur & Yasmin, Shamsunnahar & Eluru, Naveen, 2020. "A joint panel binary logit and fractional split model for converting route-level transit ridership data to stop-level boarding and alighting data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 1-16.
    26. Faghih-Imani, Ahmadreza & Anowar, Sabreena & Miller, Eric J. & Eluru, Naveen, 2017. "Hail a cab or ride a bike? A travel time comparison of taxi and bicycle-sharing systems in New York City," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 11-21.
    27. Zhao, De & Ong, Ghim Ping & Wang, Wei & Hu, Xiao Jian, 2019. "Effect of built environment on shared bicycle reallocation: A case study on Nanjing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 128(C), pages 73-88.
    28. Lili Yang & Simeng Fei & Hongfei Jia & Jingdong Qi & Luyao Wang & Xinning Hu, 2023. "Study on the Relationship between the Spatial Distribution of Shared Bicycle Travel Demand and Urban Built Environment," Sustainability, MDPI, vol. 15(18), pages 1-16, September.
    29. Yang, Hongtai & Huo, Jinghai & Bao, Yongxing & Li, Xuan & Yang, Linchuan & Cherry, Christopher R., 2021. "Impact of e-scooter sharing on bike sharing in Chicago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 23-36.
    30. Morton, Craig, 2020. "The demand for cycle sharing: Examining the links between weather conditions, air quality levels, and cycling demand for regular and casual users," Journal of Transport Geography, Elsevier, vol. 88(C).
    31. Jain, Taru & Wang, Xinyi & Rose, Geoffrey & Johnson, Marilyn, 2018. "Does the role of a bicycle share system in a city change over time? A longitudinal analysis of casual users and long-term subscribers," Journal of Transport Geography, Elsevier, vol. 71(C), pages 45-57.
    32. Agostino Torti & Alessia Pini & Simone Vantini, 2021. "Modelling time‐varying mobility flows using function‐on‐function regression: Analysis of a bike sharing system in the city of Milan," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(1), pages 226-247, January.
    33. Wang, Kailai & Akar, Gulsah, 2019. "Gender gap generators for bike share ridership: Evidence from Citi Bike system in New York City," Journal of Transport Geography, Elsevier, vol. 76(C), pages 1-9.
    34. Rahman, Moshiur & Yasmin, Shamsunnahar & Eluru, Naveen, 2019. "Controlling for endogeneity between bus headway and bus ridership: A case study of the Orlando region," Transport Policy, Elsevier, vol. 81(C), pages 208-219.
    35. Wang, Yacan & Li, Jingjing & Su, Duan & Zhou, Huiyu, 2023. "Spatial-temporal heterogeneity and built environment nonlinearity in inconsiderate parking of dockless bike-sharing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    36. Xie, Xiao-Feng & Wang, Zunjing Jenipher, 2018. "Examining travel patterns and characteristics in a bikesharing network and implications for data-driven decision supports: Case study in the Washington DC area," Journal of Transport Geography, Elsevier, vol. 71(C), pages 84-102.
    37. Elżbieta Macioszek & Paulina Świerk & Agata Kurek, 2020. "The Bike-Sharing System as an Element of Enhancing Sustainable Mobility—A Case Study based on a City in Poland," Sustainability, MDPI, vol. 12(8), pages 1-29, April.
    38. Wu, Chunliang & Kim, Inhi, 2020. "Analyzing the structural properties of bike-sharing networks: Evidence from the United States, Canada, and China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 52-71.
    39. Xueying Wu & Yi Lu & Yaoyu Lin & Yiyang Yang, 2019. "Measuring the Destination Accessibility of Cycling Transfer Trips in Metro Station Areas: A Big Data Approach," IJERPH, MDPI, vol. 16(15), pages 1-16, July.
    40. Ze Zhang & Chen Qian & Yiyang Bian, 2019. "Bicycle–metro integration for the ‘last mile’: Visualizing cycling in Shanghai," Environment and Planning A, , vol. 51(7), pages 1420-1423, October.
    41. Wang, Kailai & Akar, Gulsah & Chen, Yu-Jen, 2018. "Bike sharing differences among Millennials, Gen Xers, and Baby Boomers: Lessons learnt from New York City’s bike share," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 1-14.
    42. Hu, Beibei & Zhong, Zhenfang & Zhang, Yanli & Sun, Yue & Jiang, Li & Dong, Xianlei & Sun, Huijun, 2022. "Understanding the influencing factors of bicycle-sharing demand based on residents’ trips," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).

  23. Timothy Sider & Marianne Hatzopoulou & Naveen Eluru & Gabriel Goulet-Langlois & Kevin Manaugh, 2015. "Smog and socioeconomics: an evaluation of equity in traffic-related air pollution generation and exposure," Environment and Planning B, , vol. 42(5), pages 870-887, September.

    Cited by:

    1. Doran, Alexandra & El-Geneidy, Ahmed & Manaugh, Kevin, 2021. "The pursuit of cycling equity: A review of Canadian transport plans," Journal of Transport Geography, Elsevier, vol. 90(C).

  24. Faghih-Imani, Ahmadreza & Eluru, Naveen, 2015. "Analysing bicycle-sharing system user destination choice preferences: Chicago’s Divvy system," Journal of Transport Geography, Elsevier, vol. 44(C), pages 53-64.

    Cited by:

    1. Bakó, Barna & Berezvai, Zombor & Isztin, Péter & Vigh, Enikő Zita, 2020. "Does Uber affect bicycle-sharing usage? Evidence from a natural experiment in Budapest," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 290-302.
    2. Lazarus, Jessica & Pourquier, Jean Carpentier & Feng, Frank & Hammel, Henry & Shaheen, Susan, 2020. "Micromobility evolution and expansion: Understanding how docked and dockless bikesharing models complement and compete – A case study of San Francisco," Journal of Transport Geography, Elsevier, vol. 84(C).
    3. Maas, Suzanne & Attard, Maria & Caruana, Mark Anthony, 2020. "Assessing spatial and social dimensions of shared bicycle use in a Southern European island context: The case of Las Palmas de Gran Canaria," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 81-97.
    4. Kumar Dey, Bibhas & Anowar, Sabreena & Eluru, Naveen, 2021. "A framework for estimating bikeshare origin destination flows using a multiple discrete continuous system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 119-133.
    5. Wang, Mingshu & Zhou, Xiaolu, 2017. "Bike-sharing systems and congestion: Evidence from US cities," Journal of Transport Geography, Elsevier, vol. 65(C), pages 147-154.
    6. Shah, Nitesh R. & Guo, Jing & Han, Lee D. & Cherry, Christopher R., 2023. "Why do people take e-scooter trips? Insights on temporal and spatial usage patterns of detailed trip data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    7. Wong, Melvin & Farooq, Bilal & Bilodeau, Guillaume-Alexandre, 2016. "Next Direction Route Choice Model for Cyclist Using Panel Data," 57th Transportation Research Forum (51st CTRF) Joint Conference, Toronto, Ontario, May 1-4, 2016 319265, Transportation Research Forum.
    8. Mingyang Du & Lin Cheng, 2018. "Better Understanding the Characteristics and Influential Factors of Different Travel Patterns in Free-Floating Bike Sharing: Evidence from Nanjing, China," Sustainability, MDPI, vol. 10(4), pages 1-14, April.
    9. Hyland, Michael & Hong, Zihan & Pinto, Helen Karla Ramalho de Farias & Chen, Ying, 2018. "Hybrid cluster-regression approach to model bikeshare station usage," Transportation Research Part A: Policy and Practice, Elsevier, vol. 115(C), pages 71-89.
    10. Guangnian Xiao & Zihao Wang, 2020. "Empirical Study on Bikesharing Brand Selection in China in the Post-Sharing Era," Sustainability, MDPI, vol. 12(8), pages 1-16, April.
    11. Karina Hermawan & Diem-Trinh Le, 2022. "Examining Factors Influencing the Use of Shared Electric Scooters," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    12. Radzimski, Adam & Dzięcielski, Michał, 2021. "Exploring the relationship between bike-sharing and public transport in Poznań, Poland," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 189-202.
    13. Maria Nogal & Pilar Jiménez, 2020. "Attractiveness of Bike-Sharing Stations from a Multi-Modal Perspective: The Role of Objective and Subjective Features," Sustainability, MDPI, vol. 12(21), pages 1-26, October.
    14. Lazarus, Jessica & Pourquier, Jean Carpentier & Feng, Frank & Hammel, Henry & Shaheen, Susan, 2020. "Micromobility evolution and expansion: Understanding how docked and dockless bikesharing models complement and compete – A case study of San Francisco," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt96g9c9nd, Institute of Transportation Studies, UC Berkeley.
    15. De Zhao & Ghim Ping Ong & Wei Wang & Wei Zhou, 2021. "Estimating Public Bicycle Trip Characteristics with Consideration of Built Environment Data," Sustainability, MDPI, vol. 13(2), pages 1-13, January.
    16. Faghih Imani, Ahmadreza & Miller, Eric J. & Saxe, Shoshanna, 2019. "Cycle accessibility and level of traffic stress: A case study of Toronto," Journal of Transport Geography, Elsevier, vol. 80(C).
    17. Hasnat, Md Mehedi & Faghih-Imani, Ahmadreza & Eluru, Naveen & Hasan, Samiul, 2019. "Destination choice modeling using location-based social media data," Journal of choice modelling, Elsevier, vol. 31(C), pages 22-34.
    18. Tomasz Bieliński & Agnieszka Ważna, 2020. "Electric Scooter Sharing and Bike Sharing User Behaviour and Characteristics," Sustainability, MDPI, vol. 12(22), pages 1-13, November.
    19. Yeran Sun & Amin Mobasheri & Xuke Hu & Weikai Wang, 2017. "Investigating Impacts of Environmental Factors on the Cycling Behavior of Bicycle-Sharing Users," Sustainability, MDPI, vol. 9(6), pages 1-12, June.
    20. Mix, Richard & Hurtubia, Ricardo & Raveau, Sebastián, 2022. "Optimal location of bike-sharing stations: A built environment and accessibility approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 126-142.
    21. Dariusz Tłoczyński & Agnieszka Szmelter-Jarosz & Sebastian Susmarski, 2022. "Analysis of Sustainable Transport Systems in Service of Selected SEA-EU Consortium Countries’ Airports—A Pilot Case Study of Passenger Choices for Gdańsk Airport," IJERPH, MDPI, vol. 19(2), pages 1-21, January.
    22. Du, Mingyang & Cheng, Lin & Li, Xuefeng & Tang, Fang, 2020. "Static rebalancing optimization with considering the collection of malfunctioning bikes in free-floating bike sharing system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    23. Xin, Rui & Yang, Jian & Ai, Bo & Ding, Linfang & Li, Tingting & Zhu, Ruoxin, 2023. "Spatiotemporal analysis of bike mobility chain: A new perspective on mobility pattern discovery in urban bike-sharing system," Journal of Transport Geography, Elsevier, vol. 109(C).
    24. Wang, Kailai & Chen, Yu-Jen, 2020. "Joint analysis of the impacts of built environment on bikeshare station capacity and trip attractions," Journal of Transport Geography, Elsevier, vol. 82(C).
    25. Wang, Haizhong & Palm, Matthew & Chen, Chen & Vogt, Rachel & Wang, Yiyi, 2016. "Does bicycle network level of traffic stress (LTS) explain bicycle travel behavior? Mixed results from an Oregon case study," Journal of Transport Geography, Elsevier, vol. 57(C), pages 8-18.
    26. Mora-Navarro, Gaspar & Femenia-Ribera, Carmen & Martinez-Llario, Jose & Antequera-Terroso, Enrique, 2018. "Optimising urban routes as a factor to favour sustainable school transport," Journal of Transport Geography, Elsevier, vol. 72(C), pages 211-217.
    27. Zhang, Ying & Thomas, Tom & Brussel, Mark & van Maarseveen, Martin, 2017. "Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan, China," Journal of Transport Geography, Elsevier, vol. 58(C), pages 59-70.
    28. Franklin Oliveira & Dilan Nery & Daniel G. Costa & Ivanovitch Silva & Luciana Lima, 2021. "A Survey of Technologies and Recent Developments for Sustainable Smart Cycling," Sustainability, MDPI, vol. 13(6), pages 1-28, March.
    29. Tianjian Yang & Ye Li & Simin Zhou & Yu Zhang, 2019. "Dynamic Feedback Analysis of Influencing Factors and Challenges of Dockless Bike-Sharing Sustainability in China," Sustainability, MDPI, vol. 11(17), pages 1-17, August.
    30. Caulfield, Brian & O'Mahony, Margaret & Brazil, William & Weldon, Peter, 2017. "Examining usage patterns of a bike-sharing scheme in a medium sized city," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 152-161.
    31. Zhao, De & Ong, Ghim Ping & Wang, Wei & Hu, Xiao Jian, 2019. "Effect of built environment on shared bicycle reallocation: A case study on Nanjing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 128(C), pages 73-88.
    32. Li, Haojie & Ding, Hongliang & Ren, Gang & Xu, Chengcheng, 2018. "Effects of the London Cycle Superhighways on the usage of the London Cycle Hire," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 304-315.
    33. Xiaofeng Li & Yao-Jan Wu & Alireza Khani, 2022. "Investigating a small-sized bike-sharing system’s impact on transit usage: a synthetic control analysis in Tucson, Arizona," Public Transport, Springer, vol. 14(2), pages 441-458, June.
    34. Sherriff, Graeme & Adams, Mags & Blazejewski, Luke & Davies, Nick & Kamerāde, Daiga, 2020. "From Mobike to no bike in Greater Manchester: Using the capabilities approach to explore Europe's first wave of dockless bike share," Journal of Transport Geography, Elsevier, vol. 86(C).
    35. Wang, Kailai & Akar, Gulsah, 2019. "Gender gap generators for bike share ridership: Evidence from Citi Bike system in New York City," Journal of Transport Geography, Elsevier, vol. 76(C), pages 1-9.
    36. Zhu, Rui & Kondor, Dániel & Cheng, Cheng & Zhang, Xiaohu & Santi, Paolo & Wong, Man Sing & Ratti, Carlo, 2022. "Solar photovoltaic generation for charging shared electric scooters," Applied Energy, Elsevier, vol. 313(C).
    37. Wang, Yacan & Li, Jingjing & Su, Duan & Zhou, Huiyu, 2023. "Spatial-temporal heterogeneity and built environment nonlinearity in inconsiderate parking of dockless bike-sharing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    38. Hu, Songhua & Xiong, Chenfeng & Liu, Zhanqin & Zhang, Lei, 2021. "Examining spatiotemporal changing patterns of bike-sharing usage during COVID-19 pandemic," Journal of Transport Geography, Elsevier, vol. 91(C).
    39. Smith, C. Scott & Schwieterman, Joseph P., 2021. "Using multivariate adaptive regression splining (MARS) to identify factors affecting the performance of dock-based bikesharing: The case of Chicago’s Divvy system," Research in Transportation Economics, Elsevier, vol. 89(C).
    40. Xiaolu Zhou, 2015. "Understanding Spatiotemporal Patterns of Biking Behavior by Analyzing Massive Bike Sharing Data in Chicago," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-20, October.
    41. Qian, Xiaodong, 2019. "Modeling Framework for Socially Inclusive Bikesharing Services," Institute of Transportation Studies, Working Paper Series qt4kp5092s, Institute of Transportation Studies, UC Davis.
    42. Biehl, Alec & Ermagun, Alireza & Stathopoulos, Amanda, 2018. "Community mobility MAUP-ing: A socio-spatial investigation of bikeshare demand in Chicago," Journal of Transport Geography, Elsevier, vol. 66(C), pages 80-90.
    43. Tyndall, Justin, 2022. "Complementarity of dockless mircomobility and rail transit," Journal of Transport Geography, Elsevier, vol. 103(C).
    44. Keya, Nowreen & Anowar, Sabreena & Bhowmik, Tanmoy & Eluru, Naveen, 2021. "A joint framework for modeling freight mode and destination choice: Application to the US commodity flow survey data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    45. Faghih-Imani, Ahmadreza & Eluru, Naveen, 2016. "Incorporating the impact of spatio-temporal interactions on bicycle sharing system demand: A case study of New York CitiBike system," Journal of Transport Geography, Elsevier, vol. 54(C), pages 218-227.
    46. Wang, Kailai & Akar, Gulsah & Chen, Yu-Jen, 2018. "Bike sharing differences among Millennials, Gen Xers, and Baby Boomers: Lessons learnt from New York City’s bike share," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 1-14.
    47. Morton, Craig & Kelley, Scott & Monsuur, Fredrik & Hui, Tianwen, 2021. "A spatial analysis of demand patterns on a bicycle sharing scheme: Evidence from London," Journal of Transport Geography, Elsevier, vol. 94(C).

  25. Sabreena Anowar & Naveen Eluru & Luis F. Miranda-Moreno, 2014. "Alternative Modeling Approaches Used for Examining Automobile Ownership: A Comprehensive Review," Transport Reviews, Taylor & Francis Journals, vol. 34(4), pages 441-473, July.

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    1. Laviolette, Jérôme & Morency, Catherine & Waygood, E.O.D., 2022. "A kilometer or a mile? Does buffer size matter when it comes to car ownership?," Journal of Transport Geography, Elsevier, vol. 104(C).
    2. Oda, Hiromu & Noguchi, Hiroki & Fuse, Masaaki, 2022. "Review of life cycle assessment for automobiles: A meta-analysis-based approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    3. Alberini, Anna & Bareit, Markus & Filippini, Massimo & Martinez-Cruz, Adan L., 2018. "The impact of emissions-based taxes on the retirement of used and inefficient vehicles: The case of Switzerland," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 234-258.
    4. Zhou, Fan & Zheng, Zuduo & Whitehead, Jake & Perrons, Robert K. & Washington, Simon & Page, Lionel, 2020. "Examining the impact of car-sharing on private vehicle ownership," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 322-341.
    5. Ding, Chuan & Cao, Xinyu, 2019. "How does the built environment at residential and work locations affect car ownership? An application of cross-classified multilevel model," Journal of Transport Geography, Elsevier, vol. 75(C), pages 37-45.
    6. Jason Hawkins & Khandker Nurul Habib, 2020. "Heterogeneity in marginal value of urban mobility: evidence from a large-scale household travel survey in the Greater Toronto and Hamilton Area," Transportation, Springer, vol. 47(6), pages 3091-3108, December.
    7. Bindong Sun & Tinglin Zhang & Zhou He & Rui Wang, 2017. "Urban Spatial Structure And Motorization In China," Journal of Regional Science, Wiley Blackwell, vol. 57(3), pages 470-486, June.
    8. Yagi, Michiyuki & Managi, Shunsuke, 2016. "Demographic determinants of car ownership in Japan," MPRA Paper 71614, University Library of Munich, Germany.
    9. Nazari, Fatemeh & Mohammadian, Abolfazl (Kouros), 2023. "Modeling vehicle-miles of travel accounting for latent heterogeneity," Transport Policy, Elsevier, vol. 133(C), pages 45-53.
    10. Seya, Hajime & Nakamichi, Kumiko & Yamagata, Yoshiki, 2016. "The residential parking rent price elasticity of car ownership in Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 123-134.
    11. Jie Ma & Xin Ye & Cheng Shi, 2018. "Development of Multivariate Ordered Probit Model to Understand Household Vehicle Ownership Behavior in Xiaoshan District of Hangzhou, China," Sustainability, MDPI, vol. 10(10), pages 1-17, October.
    12. Jukka Heinonen & Michał Czepkiewicz & Áróra Árnadóttir & Juudit Ottelin, 2021. "Drivers of Car Ownership in a Car-Oriented City: A Mixed-Method Study," Sustainability, MDPI, vol. 13(2), pages 1-26, January.
    13. Juan Laborda & María José Moral, 2020. "Automotive Aftermarket Forecast in a Changing World: The Stakeholders’ Perceptions Boost!," Sustainability, MDPI, vol. 12(18), pages 1-22, September.
    14. Zhiqiang Xu & Mahdi Aghaabbasi & Mujahid Ali & Elżbieta Macioszek, 2022. "Targeting Sustainable Transportation Development: The Support Vector Machine and the Bayesian Optimization Algorithm for Classifying Household Vehicle Ownership," Sustainability, MDPI, vol. 14(17), pages 1-17, September.
    15. Song, Siqi & Diao, Mi & Feng, Chen-Chieh, 2021. "Effects of pricing and infrastructure on car ownership: A pseudo-panel-based dynamic model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 115-126.
    16. Guang Tian & Keunhyun Park & Reid Ewing, 2019. "Trip and parking generation rates for different housing types: Effects of compact development," Urban Studies, Urban Studies Journal Limited, vol. 56(8), pages 1554-1575, June.
    17. Fatemeh Nazari & Abolfazl Mohammadian & Thomas Stephens, 2023. "Exploring the Role of Perceived Range Anxiety in Adoption Behavior of Plug-in Electric Vehicles," Papers 2308.10313, arXiv.org.
    18. Habibi, Shiva & Beser Hugosson, Muriel & Sundbergh, Pia & Algers, Staffan, 2015. "Evaluation of bonus-malus systems for reducing car fleet CO2 emissions in Sweden," Working papers in Transport Economics 2015:6, CTS - Centre for Transport Studies Stockholm (KTH and VTI), revised 27 Sep 2016.
    19. Sabouri, Sadegh & Tian, Guang & Ewing, Reid & Park, Keunhyun & Greene, William, 2021. "The built environment and vehicle ownership modeling: Evidence from 32 diverse regions in the U.S," Journal of Transport Geography, Elsevier, vol. 93(C).
    20. Habib, Khandker Nurul & Weiss, Adam & Hasnine, Sami, 2018. "On the heterogeneity and substitution patterns in mobility tool ownership choices of post-secondary students: The case of Toronto," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 650-665.
    21. Lara Al Otary & Maya Abou-Zeid & Isam Kaysi, 2022. "Modeling car ownership and use in a developing country context with informal public transportation," Transportation, Springer, vol. 49(1), pages 1-36, February.
    22. Anna Fernández-Antolín & Matthieu Lapparent & Michel Bierlaire, 2018. "Modeling purchases of new cars: an analysis of the 2014 French market," Theory and Decision, Springer, vol. 84(2), pages 277-303, March.
    23. Sahu, Prasanta K. & Qureshi, Danish & Pani, Agnivesh, 2022. "Examining commercial vehicle fleet ownership decisions and the mediating role of freight generation: A structural equation modeling assessment," Transport Policy, Elsevier, vol. 126(C), pages 26-33.
    24. Paleti, Rajesh, 2015. "Implicit choice set generation in discrete choice models: Application to household auto ownership decisions," Transportation Research Part B: Methodological, Elsevier, vol. 80(C), pages 132-149.
    25. Habibi, Shiva & Beser Hugosson, Muriel & Sundbergh, Pia & Algers, Staffan, 2016. "Car fleet policy evaluation: the case of a Bonus-Malus system in Sweden," Working papers in Transport Economics 2016:19, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    26. Ali, Azam & Kalatian, Arash & Choudhury, Charisma F., 2023. "Comparing and contrasting choice model and machine learning techniques in the context of vehicle ownership decisions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    27. Hankach, Pierre & Gastineau, Pascal & Vandanjon, Pierre-Olivier, 2022. "Multi-scale spatial analysis of household car ownership using distance-based Moran's eigenvector maps: Case study in Loire-Atlantique (France)," Journal of Transport Geography, Elsevier, vol. 98(C).
    28. Clark, Stephen D. & Rey, Sergio, 2017. "Temporal dynamics in local vehicle ownership for Great Britain," Journal of Transport Geography, Elsevier, vol. 62(C), pages 30-37.
    29. Pyddoke, Roger & Swärdh, Jan-Erik & Algers, Staffan & Habibi, Shiva & Sedehi Zadeh, Noor, 2019. "Long-term responses to car-tax policies: distributional effects and reduced carbon emissions," Papers 2019:4, Research Programme in Transport Economics.
    30. Kim, Sung Hoo & Mokhtarian, Patricia L., 2018. "Taste heterogeneity as an alternative form of endogeneity bias: Investigating the attitude-moderated effects of built environment and socio-demographics on vehicle ownership using latent class modelin," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 130-150.
    31. Böcker, Lars & Anderson, Ellinor, 2020. "Interest-adoption discrepancies, mechanisms of mediation and socio-spatial inclusiveness in bike-sharing: The case of nine urban regions in Norway," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 266-277.
    32. Na Wu & Chunyan Tang, 2019. "Investigation of household private car ownership considering interdependent consumer preference," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-13, July.

  26. Vincent Chakour & Naveen Eluru, 2014. "Analyzing commuter train user behavior: a decision framework for access mode and station choice," Transportation, Springer, vol. 41(1), pages 211-228, January.

    Cited by:

    1. Chitresh KUMAR & Anirban GANGULY, 2018. "Travelling Together But Differently: Comparing Variations In Public Transit User Mode Choice Attributes Across New Delhi And New York," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 13(3), pages 54-73, August.
    2. Hasnat, Md Mehedi & Faghih-Imani, Ahmadreza & Eluru, Naveen & Hasan, Samiul, 2019. "Destination choice modeling using location-based social media data," Journal of choice modelling, Elsevier, vol. 31(C), pages 22-34.
    3. Ahmadreza Faghih-Imani & Naveen Eluru, 2020. "A finite mixture modeling approach to examine New York City bicycle sharing system (CitiBike) users’ destination preferences," Transportation, Springer, vol. 47(2), pages 529-553, April.
    4. Kim, Sung Hoo & Mokhtarian, Patricia L., 2023. "Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 134-173.
    5. Faghih-Imani, Ahmadreza & Eluru, Naveen, 2015. "Analysing bicycle-sharing system user destination choice preferences: Chicago’s Divvy system," Journal of Transport Geography, Elsevier, vol. 44(C), pages 53-64.
    6. Hao Pang & Alireza Khani, 2018. "Modeling park-and-ride location choice of heterogeneous commuters," Transportation, Springer, vol. 45(1), pages 71-87, January.
    7. Givoni, Moshe & Rietveld, Piet, 2014. "Do cities deserve more railway stations? The choice of a departure railway station in a multiple-station region," Journal of Transport Geography, Elsevier, vol. 36(C), pages 89-97.
    8. Faghih-Imani, Ahmadreza & Eluru, Naveen, 2016. "A Latent Segmentation Multinomial Logit Approach to Examine Bicycle Sharing System Users' Destination Preferences," 57th Transportation Research Forum (51st CTRF) Joint Conference, Toronto, Ontario, May 1-4, 2016 319270, Transportation Research Forum.
    9. Giansoldati, Marco & Danielis, Romeo & Rotaris, Lucia, 2021. "Train-feeder modes in Italy. Is there a role for active mobility?," Research in Transportation Economics, Elsevier, vol. 86(C).
    10. Aaron Gutiérrez & Daniel Miravet & Òscar Saladié & Salvador Anton Clavé, 2019. "Transport Mode Choice by Tourists Transferring from a Peripheral High-Speed Rail Station to Their Destinations: Empirical Evidence from Costa Daurada," Sustainability, MDPI, vol. 11(11), pages 1-15, June.
    11. Rahman, Moshiur & Yasmin, Shamsunnahar & Eluru, Naveen, 2019. "Controlling for endogeneity between bus headway and bus ridership: A case study of the Orlando region," Transport Policy, Elsevier, vol. 81(C), pages 208-219.
    12. Raoul Rothfeld & Mengying Fu & Miloš Balać & Constantinos Antoniou, 2021. "Potential Urban Air Mobility Travel Time Savings: An Exploratory Analysis of Munich, Paris, and San Francisco," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
    13. Hasnine, Md Sami & Graovac, Ana & Camargo, Felipe & Habib, Khandker Nurul, 2019. "A random utility maximization (RUM) based measure of accessibility to transit: Accurate capturing of the first-mile issue in urban transit," Journal of Transport Geography, Elsevier, vol. 74(C), pages 313-320.
    14. Mina Lee & Joseph Y. J. Chow & Gyugeun Yoon & Brian Yueshuai He, 2019. "Forecasting e-scooter substitution of direct and access trips by mode and distance," Papers 1908.08127, arXiv.org, revised Apr 2021.
    15. Keya, Nowreen & Anowar, Sabreena & Bhowmik, Tanmoy & Eluru, Naveen, 2021. "A joint framework for modeling freight mode and destination choice: Application to the US commodity flow survey data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    16. Zohreh Rashedi & Md Sami Hasnine & Khandker Nurul Habib, 2022. "Modelling second-best choices from the choice-based sample: revelation of potential mode-switching behaviour from transit passenger surveys," Public Transport, Springer, vol. 14(3), pages 609-633, October.

  27. Sabreena Anowar & Shamsunnahar Yasmin & Naveen Eluru & Luis Miranda-Moreno, 2014. "Analyzing car ownership in Quebec City: a comparison of traditional and latent class ordered and unordered models," Transportation, Springer, vol. 41(5), pages 1013-1039, September.

    Cited by:

    1. Laviolette, Jérôme & Morency, Catherine & Waygood, E.O.D., 2022. "A kilometer or a mile? Does buffer size matter when it comes to car ownership?," Journal of Transport Geography, Elsevier, vol. 104(C).
    2. Xuemei Fu, 2021. "How habit moderates the commute mode decision process: integration of the theory of planned behavior and latent class choice model," Transportation, Springer, vol. 48(5), pages 2681-2707, October.
    3. Ahmadreza Faghih-Imani & Naveen Eluru, 2020. "A finite mixture modeling approach to examine New York City bicycle sharing system (CitiBike) users’ destination preferences," Transportation, Springer, vol. 47(2), pages 529-553, April.
    4. Kim, Sung Hoo & Mokhtarian, Patricia L., 2023. "Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 134-173.
    5. Cinzia Cirillo & Yangwen Liu & Jean-Michel Tremblay, 2017. "Simulation, numerical approximation and closed forms for joint discrete continuous models with an application to household vehicle ownership and use," Transportation, Springer, vol. 44(5), pages 1105-1125, September.
    6. Yan, Xiang & Zhao, Xilei & Han, Yuan & Hentenryck, Pascal Van & Dillahunt, Tawanna, 2021. "Mobility-on-demand versus fixed-route transit systems: An evaluation of traveler preferences in low-income communities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 481-495.
    7. Ao, Yibin & Yang, Dujuan & Chen, Chuan & Wang, Yan, 2019. "Exploring the effects of the rural built environment on household car ownership after controlling for preference and attitude: Evidence from Sichuan, China," Journal of Transport Geography, Elsevier, vol. 74(C), pages 24-36.
    8. Siliang Luan & Qingfang Yang & Zhongtai Jiang & Huxing Zhou & Fanyun Meng, 2022. "Analyzing Commute Mode Choice Using the LCNL Model in the Post-COVID-19 Era: Evidence from China," IJERPH, MDPI, vol. 19(9), pages 1-26, April.
    9. Rajesh Paleti & Lacramioara Balan, 2019. "Misclassification in travel surveys and implications to choice modeling: application to household auto ownership decisions," Transportation, Springer, vol. 46(4), pages 1467-1485, August.
    10. Paleti, Rajesh, 2015. "Implicit choice set generation in discrete choice models: Application to household auto ownership decisions," Transportation Research Part B: Methodological, Elsevier, vol. 80(C), pages 132-149.
    11. Jie Song & Ruoniu Wang, 2017. "Measuring the Spatial Dimension of Automobile Ownership and Its Associations with Household Characteristics and Land Use Patterns: A Case Study in Three Counties, South Florida (USA)," Sustainability, MDPI, vol. 9(4), pages 1-19, April.
    12. Yibin Ao & Chuan Chen & Dujuan Yang & Yan Wang, 2018. "Relationship between Rural Built Environment and Household Vehicle Ownership: An Empirical Analysis in Rural Sichuan, China," Sustainability, MDPI, vol. 10(5), pages 1-18, May.
    13. Ao, Yibin & Zhang, Yuting & Wang, Yan & Chen, Yunfeng & Yang, Linchuan, 2020. "Influences of rural built environment on travel mode choice of rural residents: The case of rural Sichuan," Journal of Transport Geography, Elsevier, vol. 85(C).
    14. Kim, Sung Hoo & Mokhtarian, Patricia L., 2018. "Taste heterogeneity as an alternative form of endogeneity bias: Investigating the attitude-moderated effects of built environment and socio-demographics on vehicle ownership using latent class modelin," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 130-150.

  28. Faghih-Imani, Ahmadreza & Eluru, Naveen & El-Geneidy, Ahmed M. & Rabbat, Michael & Haq, Usama, 2014. "How land-use and urban form impact bicycle flows: evidence from the bicycle-sharing system (BIXI) in Montreal," Journal of Transport Geography, Elsevier, vol. 41(C), pages 306-314.

    Cited by:

    1. Maas, Suzanne & Attard, Maria & Caruana, Mark Anthony, 2020. "Assessing spatial and social dimensions of shared bicycle use in a Southern European island context: The case of Las Palmas de Gran Canaria," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 81-97.
    2. Todd, James & O'Brien, Oliver & Cheshire, James, 2021. "A global comparison of bicycle sharing systems," Journal of Transport Geography, Elsevier, vol. 94(C).
    3. Shahram Heydari & Garyfallos Konstantinoudis & Abdul Wahid Behsoodi, 2021. "Effect of the COVID-19 pandemic on bike-sharing demand and hire time: Evidence from Santander Cycles in London," Papers 2107.11589, arXiv.org.
    4. Bhat, Chandra R. & Astroza, Sebastian & Hamdi, Amin S., 2017. "A spatial generalized ordered-response model with skew normal kernel error terms with an application to bicycling frequency," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 126-148.
    5. Kumar Dey, Bibhas & Anowar, Sabreena & Eluru, Naveen, 2021. "A framework for estimating bikeshare origin destination flows using a multiple discrete continuous system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 119-133.
    6. Wang, Jueyu & Lindsey, Greg, 2019. "Do new bike share stations increase member use: A quasi-experimental study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 1-11.
    7. Shah, Nitesh R. & Guo, Jing & Han, Lee D. & Cherry, Christopher R., 2023. "Why do people take e-scooter trips? Insights on temporal and spatial usage patterns of detailed trip data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    8. Mingyang Du & Lin Cheng, 2018. "Better Understanding the Characteristics and Influential Factors of Different Travel Patterns in Free-Floating Bike Sharing: Evidence from Nanjing, China," Sustainability, MDPI, vol. 10(4), pages 1-14, April.
    9. Hyland, Michael & Hong, Zihan & Pinto, Helen Karla Ramalho de Farias & Chen, Ying, 2018. "Hybrid cluster-regression approach to model bikeshare station usage," Transportation Research Part A: Policy and Practice, Elsevier, vol. 115(C), pages 71-89.
    10. Stanislav Kubaľák & Alica Kalašová & Ambróz Hájnik, 2021. "The Bike-Sharing System in Slovakia and the Impact of COVID-19 on This Shared Mobility Service in a Selected City," Sustainability, MDPI, vol. 13(12), pages 1-20, June.
    11. Zhang, Yongping & Mi, Zhifu, 2018. "Environmental benefits of bike sharing: A big data-based analysis," Applied Energy, Elsevier, vol. 220(C), pages 296-301.
    12. Cyrille MEDARD DE CHARDON & Geoffrey CARUSO & Isabelle THOMAS, 2017. "Bicycle sharing system 'success' determinants," LIDAM Reprints CORE 2841, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    13. Liu, Hung-Chi & Lin, Jen-Jia, 2019. "Associations of built environments with spatiotemporal patterns of public bicycle use," Journal of Transport Geography, Elsevier, vol. 74(C), pages 299-312.
    14. Wang, Xudong & Cheng, Zhanhong & Trépanier, Martin & Sun, Lijun, 2021. "Modeling bike-sharing demand using a regression model with spatially varying coefficients," Journal of Transport Geography, Elsevier, vol. 93(C).
    15. Ioannis Politis & Ioannis Fyrogenis & Efthymis Papadopoulos & Anastasia Nikolaidou & Eleni Verani, 2020. "Shifting to Shared Wheels: Factors Affecting Dockless Bike-Sharing Choice for Short and Long Trips," Sustainability, MDPI, vol. 12(19), pages 1-25, October.
    16. Radzimski, Adam & Dzięcielski, Michał, 2021. "Exploring the relationship between bike-sharing and public transport in Poznań, Poland," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 189-202.
    17. Faghih-Imani, Ahmadreza & Eluru, Naveen, 2016. "Examining the Impact of Sample Size in the Analysis of Bicycle Sharing Systems," 57th Transportation Research Forum (51st CTRF) Joint Conference, Toronto, Ontario, May 1-4, 2016 319259, Transportation Research Forum.
    18. Yang, Yuanxuan & Beecham, Roger & Heppenstall, Alison & Turner, Andy & Comber, Alexis, 2022. "Understanding the impacts of public transit disruptions on bikeshare schemes and cycling behaviours using spatiotemporal and graph-based analysis: A case study of four London Tube strikes," Journal of Transport Geography, Elsevier, vol. 98(C).
    19. Wei Ji & Chengpeng Lu & Jinhuang Mao & Yiping Liu & Muchen Hou & Xiaoli Pan, 2021. "Public’s Intention and Influencing Factors of Dockless Bike-Sharing in Central Urban Areas: A Case Study of Lanzhou City, China," Sustainability, MDPI, vol. 13(16), pages 1-14, August.
    20. De Zhao & Ghim Ping Ong & Wei Wang & Wei Zhou, 2021. "Estimating Public Bicycle Trip Characteristics with Consideration of Built Environment Data," Sustainability, MDPI, vol. 13(2), pages 1-13, January.
    21. Maas, Suzanne & Nikolaou, Paraskevas & Attard, Maria & Dimitriou, Loukas, 2021. "Examining spatio-temporal trip patterns of bicycle sharing systems in Southern European island cities," Research in Transportation Economics, Elsevier, vol. 86(C).
    22. Ahmadreza Faghih-Imani & Naveen Eluru, 2020. "A finite mixture modeling approach to examine New York City bicycle sharing system (CitiBike) users’ destination preferences," Transportation, Springer, vol. 47(2), pages 529-553, April.
    23. Alexandros Nikitas, 2019. "How to Save Bike-Sharing: An Evidence-Based Survival Toolkit for Policy-Makers and Mobility Providers," Sustainability, MDPI, vol. 11(11), pages 1-17, June.
    24. Beairsto, Jeneva & Tian, Yufan & Zheng, Linyu & Zhao, Qunshan & Hong, Jinhyun, 2020. "Identifying locations for new bike-sharing stations in Glasgow: an analysis of spatial equity and demand factors," OSF Preprints apyfn, Center for Open Science.
    25. Lidong Zhu & Mujahid Ali & Elżbieta Macioszek & Mahdi Aghaabbasi & Amin Jan, 2022. "Approaching Sustainable Bike-Sharing Development: A Systematic Review of the Influence of Built Environment Features on Bike-Sharing Ridership," Sustainability, MDPI, vol. 14(10), pages 1-17, May.
    26. Wu, Xueying & Lu, Yi & Gong, Yongxi & Kang, Yuhao & Yang, Linchuan & Gou, Zhonghua, 2021. "The impacts of the built environment on bicycle-metro transfer trips: A new method to delineate metro catchment area based on people's actual cycling space," Journal of Transport Geography, Elsevier, vol. 97(C).
    27. Bongiorno, Christian & Santucci, Daniele & Kon, Fabio & Santi, Paolo & Ratti, Carlo, 2019. "Comparing bicycling and pedestrian mobility: Patterns of non-motorized human mobility in Greater Boston," Journal of Transport Geography, Elsevier, vol. 80(C).
    28. Ji, Shujuan & Wang, Xin & Lyu, Tao & Liu, Xiaojie & Wang, Yuanqing & Heinen, Eva & Sun, Zhenwei, 2022. "Understanding cycling distance according to the prediction of the XGBoost and the interpretation of SHAP: A non-linear and interaction effect analysis," Journal of Transport Geography, Elsevier, vol. 103(C).
    29. Qing Yu & Weifeng Li & Dongyuan Yang & Yingkun Xie, 2020. "Policy Zoning for Efficient Land Utilization Based on Spatio-Temporal Integration between the Bicycle-Sharing Service and the Metro Transit," Sustainability, MDPI, vol. 13(1), pages 1-14, December.
    30. Albiński, Szymon & Fontaine, Pirmin & Minner, Stefan, 2018. "Performance analysis of a hybrid bike sharing system: A service-level-based approach under censored demand observations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 59-69.
    31. Namkung, Ok Stella & Park, Jonghan & Ko, Joonho, 2023. "Public bike users’ annual travel distance: Findings from combined data of user survey and annual rental records," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    32. Faghih-Imani, Ahmadreza & Eluru, Naveen, 2015. "Analysing bicycle-sharing system user destination choice preferences: Chicago’s Divvy system," Journal of Transport Geography, Elsevier, vol. 44(C), pages 53-64.
    33. Zhitao Li & Yuzhen Shang & Guanwei Zhao & Muzhuang Yang, 2022. "Exploring the Multiscale Relationship between the Built Environment and the Metro-Oriented Dockless Bike-Sharing Usage," IJERPH, MDPI, vol. 19(4), pages 1-21, February.
    34. Zheng, Zhiguo & Chen, Yunfeng & Zhu, Debao & Sun, Huijun & Wu, Jianjun & Pan, Xing & Li, Daqing, 2021. "Extreme unbalanced mobility network in bike sharing system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    35. Wafic El-Assi & Mohamed Salah Mahmoud & Khandker Nurul Habib, 2017. "Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto," Transportation, Springer, vol. 44(3), pages 589-613, May.
    36. Liu, Hung-Chi & Lin, Jen-Jia, 2022. "Associations of built environments with spatiotemporal patterns of shared scooter use: A comparison with shared bike use," Transport Policy, Elsevier, vol. 126(C), pages 107-119.
    37. Yeran Sun & Amin Mobasheri & Xuke Hu & Weikai Wang, 2017. "Investigating Impacts of Environmental Factors on the Cycling Behavior of Bicycle-Sharing Users," Sustainability, MDPI, vol. 9(6), pages 1-12, June.
    38. Li, Yue & Luo, Hao & Cai, Hua, 2023. "Photovoltaic-battery powered bike share stations are not necessarily energy self-sufficient," Applied Energy, Elsevier, vol. 348(C).
    39. Cheng, Long & Yang, Junjian & Chen, Xuewu & Cao, Mengqiu & Zhou, Hang & Sun, Yu, 2020. "How could the station-based bike sharing system and the free-floating bike sharing system be coordinated?," Journal of Transport Geography, Elsevier, vol. 89(C).
    40. Maas, Suzanne & Nikolaou, Paraskevas & Attard, Maria & Dimitriou, Loukas, 2021. "Spatial and temporal analysis of shared bicycle use in Limassol, Cyprus," Journal of Transport Geography, Elsevier, vol. 93(C).
    41. Mix, Richard & Hurtubia, Ricardo & Raveau, Sebastián, 2022. "Optimal location of bike-sharing stations: A built environment and accessibility approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 126-142.
    42. Rodriguez-Valencia, Alvaro & Rosas-Satizábal, Daniel & Gordo, Daniel & Ochoa, Andrés, 2019. "Impact of household proximity to the cycling network on bicycle ridership: The case of Bogotá," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    43. Yanjie Ji & Xinwei Ma & Mingyuan Yang & Yuchuan Jin & Liangpeng Gao, 2018. "Exploring Spatially Varying Influences on Metro-Bikeshare Transfer: A Geographically Weighted Poisson Regression Approach," Sustainability, MDPI, vol. 10(5), pages 1-23, May.
    44. Kim, Minjun & Cho, Gi-Hyoug, 2021. "Analysis on bike-share ridership for origin-destination pairs: Effects of public transit route characteristics and land-use patterns," Journal of Transport Geography, Elsevier, vol. 93(C).
    45. Dong, Xiaoyang & Zhang, Bin & Wang, Zhaohua, 2023. "Impact of land use on bike-sharing travel patterns: Evidence from large scale data analysis in China," Land Use Policy, Elsevier, vol. 133(C).
    46. Lin, Jen-Jia & Wei, Yi-Hsuan, 2018. "Assessing area-wide bikeability: A grey analytic network process," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 381-396.
    47. Flanagan, Elizabeth & Lachapelle, Ugo & El-Geneidy, Ahmed, 2016. "Riding tandem: Does cycling infrastructure investment mirror gentrification and privilege in Portland, OR and Chicago, IL?," Research in Transportation Economics, Elsevier, vol. 60(C), pages 14-24.
    48. Faghih-Imani, Ahmadreza & Eluru, Naveen, 2016. "Determining the role of bicycle sharing system infrastructure installation decision on usage: Case study of montreal BIXI system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 685-698.
    49. Craig Standing & Ferry Jie & Thi Le & Susan Standing & Sharon Biermann, 2021. "Analysis of the Use and Perception of Shared Mobility: A Case Study in Western Australia," Sustainability, MDPI, vol. 13(16), pages 1-14, August.
    50. Wang, Kailai & Chen, Yu-Jen, 2020. "Joint analysis of the impacts of built environment on bikeshare station capacity and trip attractions," Journal of Transport Geography, Elsevier, vol. 82(C).
    51. Zhao, Jiahui & Fan, Wei & Zhai, Xuehao, 2020. "Identification of land-use characteristics using bicycle sharing data: A deep learning approach," Journal of Transport Geography, Elsevier, vol. 82(C).
    52. Zhang, Ying & Thomas, Tom & Brussel, Mark & van Maarseveen, Martin, 2017. "Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan, China," Journal of Transport Geography, Elsevier, vol. 58(C), pages 59-70.
    53. Andrea Gorrini & Rawad Choubassi & Federico Messa & Wafaa Saleh & Augustus Ababio-Donkor & Maria Chiara Leva & Lorraine D’Arcy & Francesco Fabbri & David Laniado & Pablo Aragón, 2021. "Unveiling Women’s Needs and Expectations as Users of Bike Sharing Services: The H2020 DIAMOND Project," Sustainability, MDPI, vol. 13(9), pages 1-29, May.
    54. Xing, Yingying & Wang, Ke & Lu, Jian John, 2020. "Exploring travel patterns and trip purposes of dockless bike-sharing by analyzing massive bike-sharing data in Shanghai, China," Journal of Transport Geography, Elsevier, vol. 87(C).
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    58. Zhan, Zilin & Guo, Yuanyuan & Noland, Robert B. & He, Sylvia Y. & Wang, Yacan, 2023. "Analysis of links between dockless bikeshare and metro trips in Beijing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
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    63. Li, Zhitao & Tang, Jinjun & Zhao, Chuyun & Gao, Fan, 2023. "Improved centrality measure based on the adapted PageRank algorithm for urban transportation multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
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    66. Wang, Ruoxuan & Wu, Jianping & Qi, Geqi, 2022. "Exploring regional sustainable commuting patterns based on dockless bike-sharing data and POI data," Journal of Transport Geography, Elsevier, vol. 102(C).
    67. Faghih-Imani, Ahmadreza & Hampshire, Robert & Marla, Lavanya & Eluru, Naveen, 2017. "An empirical analysis of bike sharing usage and rebalancing: Evidence from Barcelona and Seville," Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 177-191.
    68. Wang, Jueyu & Lindsey, Greg, 2019. "Neighborhood socio-demographic characteristics and bike share member patterns of use," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    69. Gu, Tianqi & Kim, Inhi & Currie, Graham, 2019. "Measuring immediate impacts of a new mass transit system on an existing bike-share system in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 20-39.
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    71. Alexandra Cortez-Ordoñez & Ana Belén Tulcanaza-Prieto, 2023. "The Effect of Gender and Age in Small Bicycle Sharing Systems: Case Study from Logroño, Spain," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
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    75. Yi Yao & Yifang Zhang & Lixin Tian & Nianxing Zhou & Zhilin Li & Minggang Wang, 2019. "Analysis of Network Structure of Urban Bike-Sharing System: A Case Study Based on Real-Time Data of a Public Bicycle System," Sustainability, MDPI, vol. 11(19), pages 1-17, September.
    76. Saberi, Meead & Ghamami, Mehrnaz & Gu, Yi & Shojaei, Mohammad Hossein (Sam) & Fishman, Elliot, 2018. "Understanding the impacts of a public transit disruption on bicycle sharing mobility patterns: A case of Tube strike in London," Journal of Transport Geography, Elsevier, vol. 66(C), pages 154-166.
    77. Wang, Yacan & Li, Jingjing & Su, Duan & Zhou, Huiyu, 2023. "Spatial-temporal heterogeneity and built environment nonlinearity in inconsiderate parking of dockless bike-sharing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    78. Li, Aoyong & Zhao, Pengxiang & Huang, Yizhe & Gao, Kun & Axhausen, Kay W., 2020. "An empirical analysis of dockless bike-sharing utilization and its explanatory factors: Case study from Shanghai, China," Journal of Transport Geography, Elsevier, vol. 88(C).
    79. Fabio Kon & Éderson Cássio Ferreira & Higor Amario Souza & Fábio Duarte & Paolo Santi & Carlo Ratti, 2022. "Abstracting mobility flows from bike-sharing systems," Public Transport, Springer, vol. 14(3), pages 545-581, October.
    80. Cheng, Long & Huang, Jie & Jin, Tanhua & Chen, Wendong & Li, Aoyong & Witlox, Frank, 2023. "Comparison of station-based and free-floating bikeshare systems as feeder modes to the metro," Journal of Transport Geography, Elsevier, vol. 107(C).
    81. Elena García-Jiménez & Sara Poveda-Reyes & Gemma Dolores Molero & Francisco Enrique Santarremigia & Andrea Gorrini & Yvonne Hail & Augustus Ababio-Donkor & Maria Chiara Leva & Filomena Mauriello, 2020. "Methodology for Gender Analysis in Transport: Factors with Influence in Women’s Inclusion as Professionals and Users of Transport Infrastructures," Sustainability, MDPI, vol. 12(9), pages 1-32, May.
    82. Sohrabi, Soheil & Paleti, Rajesh & Balan, Lacramioara & Cetin, Mecit, 2020. "Real-time prediction of public bike sharing system demand using generalized extreme value count model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 325-336.
    83. Elżbieta Macioszek & Paulina Świerk & Agata Kurek, 2020. "The Bike-Sharing System as an Element of Enhancing Sustainable Mobility—A Case Study based on a City in Poland," Sustainability, MDPI, vol. 12(8), pages 1-29, April.
    84. Hu, Songhua & Xiong, Chenfeng & Liu, Zhanqin & Zhang, Lei, 2021. "Examining spatiotemporal changing patterns of bike-sharing usage during COVID-19 pandemic," Journal of Transport Geography, Elsevier, vol. 91(C).
    85. Willberg, Elias & Salonen, Maria & Toivonen, Tuuli, 2021. "What do trip data reveal about bike-sharing system users?," Journal of Transport Geography, Elsevier, vol. 91(C).
    86. Smith, C. Scott & Schwieterman, Joseph P., 2021. "Using multivariate adaptive regression splining (MARS) to identify factors affecting the performance of dock-based bikesharing: The case of Chicago’s Divvy system," Research in Transportation Economics, Elsevier, vol. 89(C).
    87. Böcker, Lars & Anderson, Ellinor & Uteng, Tanu Priya & Throndsen, Torstein, 2020. "Bike sharing use in conjunction to public transport: Exploring spatiotemporal, age and gender dimensions in Oslo, Norway," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 389-401.
    88. Qiu, Waishan & Chang, Hector, 2021. "The interplay between dockless bikeshare and bus for small-size cities in the US: A case study of Ithaca," Journal of Transport Geography, Elsevier, vol. 96(C).
    89. Médard de Chardon, Cyrille & Caruso, Geoffrey, 2015. "Estimating bike-share trips using station level data," Transportation Research Part B: Methodological, Elsevier, vol. 78(C), pages 260-279.
    90. Marcin Jacek Kłos & Grzegorz Sierpiński, 2021. "Building a Model of Integration of Urban Sharing and Public Transport Services," Sustainability, MDPI, vol. 13(6), pages 1-26, March.
    91. Schimohr, Katja & Scheiner, Joachim, 2021. "Spatial and temporal analysis of bike-sharing use in Cologne taking into account a public transit disruption," Journal of Transport Geography, Elsevier, vol. 92(C).
    92. Kim, Kyoungok, 2018. "Investigation on the effects of weather and calendar events on bike-sharing according to the trip patterns of bike rentals of stations," Journal of Transport Geography, Elsevier, vol. 66(C), pages 309-320.
    93. Ding, Hongliang & Lu, Yuhuan & Sze, N.N. & Li, Haojie, 2022. "Effect of dockless bike-sharing scheme on the demand for London Cycle Hire at the disaggregate level using a deep learning approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 150-163.
    94. Suzanne Maas & Paraskevas Nikolaou & Maria Attard & Loukas Dimitriou, 2021. "Heat, Hills and the High Season: A Model-Based Comparative Analysis of Spatio-Temporal Factors Affecting Shared Bicycle Use in Three Southern European Islands," Sustainability, MDPI, vol. 13(6), pages 1-21, March.
    95. Tanmoy Bhowmik & Sudipta Dey Tirtha & Naveen Chandra Iraganaboina & Naveen Eluru, 2021. "A comprehensive analysis of COVID-19 transmission and mortality rates at the county level in the United States considering socio-demographics, health indicators, mobility trends and health care infras," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-15, April.
    96. Rohan L Aras & Nicholas T Ouellette & Rishee K Jain, 2023. "A barrier too far: Understanding the role of intersection crossing distance on bicycle rider behavior in Chicago," Environment and Planning B, , vol. 50(8), pages 2118-2132, October.
    97. Shaheen, Susan PhD & Totte, Hannah & Stocker, Adam, 2018. "Future of Mobility White Paper," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt68g2h1qv, Institute of Transportation Studies, UC Berkeley.
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    100. Faghih-Imani, Ahmadreza & Eluru, Naveen, 2016. "Incorporating the impact of spatio-temporal interactions on bicycle sharing system demand: A case study of New York CitiBike system," Journal of Transport Geography, Elsevier, vol. 54(C), pages 218-227.
    101. Akbari Majid & Zarghamfard Moslem & Hajisharifi Arezoo & Amir Entekhabi Shahram & Goodarzipour Sadrallah, 2022. "Modelling the Obstacles to using Bicycle Sharing Systems in the Tehran Metropolis: A Structural Analysis," Quaestiones Geographicae, Sciendo, vol. 41(2), pages 109-124, June.
    102. Wang, Kailai & Akar, Gulsah & Chen, Yu-Jen, 2018. "Bike sharing differences among Millennials, Gen Xers, and Baby Boomers: Lessons learnt from New York City’s bike share," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 1-14.
    103. Song, Jie & Zhang, Liye & Qin, Zheng & Ramli, Muhamad Azfar, 2021. "Where are public bikes? The decline of dockless bike-sharing supply in Singapore and its resulting impact on ridership activities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 72-90.
    104. Zhan Gao & Sheng Wei & Lei Wang & Sijia Fan, 2020. "Exploring the Spatial-Temporal Characteristics of Traditional Public Bicycle Use in Yancheng, China: A Perspective of Time Series Cluster of Stations," Sustainability, MDPI, vol. 12(16), pages 1-17, August.
    105. Li, Haojie & Zhang, Yingheng & Ding, Hongliang & Ren, Gang, 2019. "Effects of dockless bike-sharing systems on the usage of the London Cycle Hire," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 398-411.
    106. Morton, Craig & Kelley, Scott & Monsuur, Fredrik & Hui, Tianwen, 2021. "A spatial analysis of demand patterns on a bicycle sharing scheme: Evidence from London," Journal of Transport Geography, Elsevier, vol. 94(C).
    107. Shukui Tan & Yi Zhao & Wenke Huang, 2019. "Neighborhood Social Disadvantage and Bicycling Behavior: A Big Data-Spatial Approach Based on Social Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(3), pages 985-999, October.

  29. Sider, Timothy & Alam, Ahsan & Zukari, Mohamad & Dugum, Hussam & Goldstein, Nathan & Eluru, Naveen & Hatzopoulou, Marianne, 2013. "Land-use and socio-economics as determinants of traffic emissions and individual exposure to air pollution," Journal of Transport Geography, Elsevier, vol. 33(C), pages 230-239.

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    1. Wang, Zhaohua & Liu, Wei, 2015. "Determinants of CO2 emissions from household daily travel in Beijing, China: Individual travel characteristic perspectives," Applied Energy, Elsevier, vol. 158(C), pages 292-299.
    2. Reham Alhindawi & Yousef Abu Nahleh & Arun Kumar & Nirajan Shiwakoti, 2020. "Projection of Greenhouse Gas Emissions for the Road Transport Sector Based on Multivariate Regression and the Double Exponential Smoothing Model," Sustainability, MDPI, vol. 12(21), pages 1-18, November.
    3. Madina Doumbia & Adjon A. Kouassi & Siélé Silué & Véronique Yoboué & Cathy Liousse & Arona Diedhiou & N’Datchoh E. Touré & Sékou Keita & Eric-Michel Assamoi & Adama Bamba & Maurin Zouzoua & Alima Daju, 2021. "Road Traffic Emission Inventory in an Urban Zone of West Africa: Case of Yopougon City (Abidjan, Côte d’Ivoire)," Energies, MDPI, vol. 14(4), pages 1-19, February.
    4. Vincent Chakour & Naveen Eluru, 2014. "Analyzing commuter train user behavior: a decision framework for access mode and station choice," Transportation, Springer, vol. 41(1), pages 211-228, January.
    5. Shekarrizfard, Maryam & Hatzopoulou, Marianne, 2016. "Assessment of Exposure to Traffic-Related Air Pollution in a Large Urban Area: Impacts of Individual Mobility and Transit Investment Scenarios," 57th Transportation Research Forum (51st CTRF) Joint Conference, Toronto, Ontario, May 1-4, 2016 319250, Transportation Research Forum.
    6. Jie Su & Bo Zhou & Yuanpei Liao & Chaoshen Wang & Tian Feng, 2022. "Impact Mechanism of the Urban Network on Carbon Emissions in Rapidly Developing Regions: Example of 47 Cities in Southwest China," Land, MDPI, vol. 11(4), pages 1-19, March.
    7. Judith Y. T. Wang & Richard D. Connors, 2018. "Urban Growth, Transport Planning, Air Quality and Health: A Multi-Objective Spatial Analysis Framework for a Linear Monocentric City," Networks and Spatial Economics, Springer, vol. 18(4), pages 839-874, December.
    8. Perez-Prada, Fiamma & Monzon, Andres, 2017. "Ex-post environmental and traffic assessment of a speed reduction strategy in Madrid's inner ring-road," Journal of Transport Geography, Elsevier, vol. 58(C), pages 256-268.
    9. Reham Alhindawi & Yousef Abu Nahleh & Arun Kumar & Nirajan Shiwakoti, 2019. "Application of a Adaptive Neuro-Fuzzy Technique for Projection of the Greenhouse Gas Emissions from Road Transportation," Sustainability, MDPI, vol. 11(22), pages 1-17, November.
    10. Schindler, Mirjam & Wang, Judith Y.T. & Connors, Richard D., 2021. "A two-stage residential location and transport mode choice model with exposure to traffic-induced air pollution," Journal of Transport Geography, Elsevier, vol. 93(C).

  30. Sobhani, Anae & Eluru, Naveen & Faghih-Imani, Ahmadreza, 2013. "A latent segmentation based multiple discrete continuous extreme value model," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 154-169.

    Cited by:

    1. Dharmowijoyo, Dimas B.E. & Susilo, Yusak O. & Karlström, Anders & Adiredja, Lili Somantri, 2015. "Collecting a multi-dimensional three-weeks household time-use and activity diary in the Bandung Metropolitan Area, Indonesia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 231-246.
    2. Hasnat, Md Mehedi & Faghih-Imani, Ahmadreza & Eluru, Naveen & Hasan, Samiul, 2019. "Destination choice modeling using location-based social media data," Journal of choice modelling, Elsevier, vol. 31(C), pages 22-34.
    3. Ahmadreza Faghih-Imani & Naveen Eluru, 2020. "A finite mixture modeling approach to examine New York City bicycle sharing system (CitiBike) users’ destination preferences," Transportation, Springer, vol. 47(2), pages 529-553, April.
    4. Kim, Sung Hoo & Mokhtarian, Patricia L., 2023. "Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 134-173.
    5. Ziqi Zhang & Zhi Qiu, 2020. "Exploring Daily Activity Patterns on the Typical Day of Older Adults for Supporting Aging-in-Place in China’s Rural Environment," IJERPH, MDPI, vol. 17(22), pages 1-20, November.
    6. Sabreena Anowar & Shamsunnahar Yasmin & Naveen Eluru & Luis Miranda-Moreno, 2014. "Analyzing car ownership in Quebec City: a comparison of traditional and latent class ordered and unordered models," Transportation, Springer, vol. 41(5), pages 1013-1039, September.
    7. Annesha Enam & Karthik C. Konduri & Naveen Eluru & Srinath Ravulaparthy, 2018. "Relationship between well-being and daily time use of elderly: evidence from the disabilities and use of time survey," Transportation, Springer, vol. 45(6), pages 1783-1810, November.
    8. Fatmi, Mahmudur Rahman & Chowdhury, Subeh & Habib, Muhammad Ahsanul, 2017. "Life history-oriented residential location choice model: A stress-based two-tier panel modeling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 293-307.
    9. Pudāne, Baiba & van Cranenburgh, Sander & Chorus, Caspar G., 2021. "A day in the life with an automated vehicle: Empirical analysis of data from an interactive stated activity-travel survey," Journal of choice modelling, Elsevier, vol. 39(C).
    10. Saxena, Shobhit & Pinjari, Abdul Rawoof & Roy, Ananya & Paleti, Rajesh, 2021. "Multiple discrete-continuous choice models with bounds on consumptions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 237-265.
    11. Keya, Nowreen & Anowar, Sabreena & Bhowmik, Tanmoy & Eluru, Naveen, 2021. "A joint framework for modeling freight mode and destination choice: Application to the US commodity flow survey data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    12. Pinjari, Abdul Rawoof & Augustin, Bertho & Sivaraman, Vijayaraghavan & Faghih Imani, Ahmadreza & Eluru, Naveen & Pendyala, Ram M., 2016. "Stochastic frontier estimation of budgets for Kuhn–Tucker demand systems: Application to activity time-use analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 117-133.

  31. Luis Miranda-Moreno & Naveen Eluru & Martin Lee-Gosselin & Tyler Kreider, 2012. "Impact of ICT access on personal activity space and greenhouse gas production: evidence from Quebec City, Canada," Transportation, Springer, vol. 39(5), pages 895-918, September.

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    1. Jinhyun Hong & David Philip McArthur & Mark Livingston, 2019. "Can Accessing the Internet while Travelling Encourage Commuters to Use Public Transport Regardless of Their Attitude?," Sustainability, MDPI, vol. 11(12), pages 1-10, June.
    2. Dal Fiore, Filippo & Mokhtarian, Patricia L. & Salomon, Ilan & Singer, Matan E., 2014. "“Nomads at last”? A set of perspectives on how mobile technology may affect travel," Journal of Transport Geography, Elsevier, vol. 41(C), pages 97-106.
    3. Lavieri, Patrícia S. & Dai, Qichun & Bhat, Chandra R., 2018. "Using virtual accessibility and physical accessibility as joint predictors of activity-travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 527-544.
    4. Li, Ran & Tong, Daoqin, 2017. "Incorporating activity space and trip chaining into facility siting for accessibility maximization," Socio-Economic Planning Sciences, Elsevier, vol. 60(C), pages 1-14.
    5. Toger, Marina & Türk, Umut & Östh, John & Kourtit, Karima & Nijkamp, Peter, 2023. "Inequality in leisure mobility: An analysis of activity space segregation spectra in the Stockholm conurbation," Journal of Transport Geography, Elsevier, vol. 111(C).
    6. Ffion Carney, 2021. "Linking Loyalty Card Data to Public Transport Data to Explore Mobility and Social Exclusion in the Older Population," Sustainability, MDPI, vol. 13(11), pages 1-19, May.
    7. Katarzyna Sila-Nowicka & A. Stewart Fotheringham & Urška Demšar, 2023. "Activity triangles: a new approach to measure activity spaces," Journal of Geographical Systems, Springer, vol. 25(4), pages 489-517, October.

  32. Alessandro Portoghese & Erika Spissu & Chandra Bhat & Naveen Eluru & Italo Meloni, 2011. "A Copula-Based Joint Model Of Commute Mode Choice And Number Of Non-Work Stops During The Commute," Articles, International Journal of Transport Economics, vol. 38(3).

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    1. Jesus Gonzalez-Feliu & Joelle Morana & Josep-Maria Salanova Grau & Tai-Yu Ma, 2013. "Design And Scenario Assessment For Collaborative Logistics And Freight Transport Systems," Articles, International Journal of Transport Economics, vol. 40(2).
    2. Irannezhad, Elnaz & Prato, Carlo & Hickman, Mark, 2019. "A joint hybrid model of the choices of container terminals and of dwell time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 119-133.
    3. João De Abreu e Silva, 2018. "The Effects of Land-Use Patterns on Home-Based Tour Complexity and Total Distances Traveled: A Path Analysis," Sustainability, MDPI, vol. 10(3), pages 1-16, March.
    4. Piras, Francesco & Sottile, Eleonora & Tuveri, Giovanni & Meloni, Italo, 2021. "Could there be spillover effects between recreational and utilitarian cycling? A multivariate model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 297-311.
    5. Chen, Xiaohong & Guo, Yingjie & Yang, Chao & Ding, Fangyi & Yuan, Quan, 2021. "Exploring essential travel during COVID-19 quarantine: Evidence from China," Transport Policy, Elsevier, vol. 111(C), pages 90-97.
    6. Keya, Nowreen & Anowar, Sabreena & Eluru, Naveen, 2019. "Joint model of freight mode choice and shipment size: A copula-based random regret minimization framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 97-115.
    7. Zidan Mao & Dick Ettema & Martin Dijst, 2018. "Analysis of travel time and mode choice shift for non-work stops in commuting: case study of Beijing, China," Transportation, Springer, vol. 45(3), pages 751-766, May.
    8. Xin Guan & Xin Ye & Cheng Shi & Yajie Zou, 2019. "A Multivariate Modeling Analysis of Commuters’ Non-Work Activity Allocations in Xiaoshan District of Hangzhou, China," Sustainability, MDPI, vol. 11(20), pages 1-19, October.

  33. Bhat, Chandra R. & Sener, Ipek N. & Eluru, Naveen, 2010. "A flexible spatially dependent discrete choice model: Formulation and application to teenagers' weekday recreational activity participation," Transportation Research Part B: Methodological, Elsevier, vol. 44(8-9), pages 903-921, September.

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    1. Bhat, Chandra R. & Astroza, Sebastian & Hamdi, Amin S., 2017. "A spatial generalized ordered-response model with skew normal kernel error terms with an application to bicycling frequency," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 126-148.
    2. Bhat, Chandra R., 2011. "The maximum approximate composite marginal likelihood (MACML) estimation of multinomial probit-based unordered response choice models," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 923-939, August.
    3. Elias, Wafa & Katoshevski-Cavari, Rachel, 2014. "The role of socio-economic and environmental characteristics in school-commuting behavior: A comparative study of Jewish and Arab children in Israel," Transport Policy, Elsevier, vol. 32(C), pages 79-87.
    4. Paudel, Krishna P. & Caffey, Rex H. & Devkota, Nirmala, 2011. "An Evaluation of Factors Affecting the Choice of Coastal Recreational Activities," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 43(2), pages 1-13, May.
    5. Taha Hossein Rashidi & Matthew J. Roorda, 2018. "A business establishment fleet ownership and composition model," Transportation, Springer, vol. 45(3), pages 971-987, May.
    6. Paleti, Rajesh & Bhat, Chandra R., 2013. "The composite marginal likelihood (CML) estimation of panel ordered-response models," Journal of choice modelling, Elsevier, vol. 7(C), pages 24-43.
    7. Enam, Annesha & Konduri, Karthik C. & Pinjari, Abdul R. & Eluru, Naveen, 2018. "An integrated choice and latent variable model for multiple discrete continuous choice kernels: Application exploring the association between day level moods and discretionary activity engagement choi," Journal of choice modelling, Elsevier, vol. 26(C), pages 80-100.
    8. Mozharovskyi, Pavlo & Vogler, Jan, 2016. "Composite marginal likelihood estimation of spatial autoregressive probit models feasible in very large samples," Economics Letters, Elsevier, vol. 148(C), pages 87-90.
    9. Mondal, Aupal & Bhat, Chandra R., 2022. "A spatial rank-ordered probit model with an application to travel mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 374-393.
    10. Bhat, Chandra R. & Astroza, Sebastian & Sidharthan, Raghuprasad & Alam, Mohammad Jobair Bin & Khushefati, Waleed H., 2014. "A joint count-continuous model of travel behavior with selection based on a multinomial probit residential density choice model," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 31-51.
    11. Mothafer, Ghasak I.M.A. & Yamamoto, Toshiyuki & Shankar, Venkataraman N., 2018. "A multivariate heterogeneous-dispersion count model for asymmetric interdependent freeway crash types," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 84-105.
    12. Chakour, Vincent & Eluru, Naveen, 2016. "Examining the influence of stop level infrastructure and built environment on bus ridership in Montreal," Journal of Transport Geography, Elsevier, vol. 51(C), pages 205-217.
    13. J. Paul Elhorst & Pim Heijnen & Anna Samarina & Jan P. A. M. Jacobs, 2017. "Transitions at Different Moments in Time: A Spatial Probit Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 422-439, March.
    14. Bhat, Chandra R. & Pinjari, Abdul R. & Dubey, Subodh K. & Hamdi, Amin S., 2016. "On accommodating spatial interactions in a Generalized Heterogeneous Data Model (GHDM) of mixed types of dependent variables," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 240-263.
    15. Kate E. Whalen & Antonio Páez & Chandra Bhat & Md Moniruzzaman & Rajesh Paleti, 2012. "T-communities and Sense of Community in a University Town: Evidence from a Student Sample using a Spatial Ordered-response Model," Urban Studies, Urban Studies Journal Limited, vol. 49(6), pages 1357-1376, May.
    16. David S. Bunch, 2014. "Numerical methods for optimization-based model estimation and inference," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 23, pages 565-598, Edward Elgar Publishing.
    17. Chandra R. Bhat & Patrícia S. Lavieri, 2018. "A new mixed MNP model accommodating a variety of dependent non-normal coefficient distributions," Theory and Decision, Springer, vol. 84(2), pages 239-275, March.
    18. Heijnen, P. & Samarina, A.. & Jacobs, J.P.A.M. & Elhorst, J.P., 2013. "State transfers at different moments in time," Research Report 13006-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    19. Qu, Xi & Lee, Lung-fei, 2012. "LM tests for spatial correlation in spatial models with limited dependent variables," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 430-445.
    20. Geva, Sharon & Fulman, Nir & Ben-Elia, Eran, 2022. "Getting the prices right: Drivers' cruising choices in a serious parking game," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 54-75.
    21. Dong, Chunjiao & Shao, Chunfu & Clarke, David B. & Nambisan, Shashi S., 2018. "An innovative approach for traffic crash estimation and prediction on accommodating unobserved heterogeneities," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 407-428.
    22. Faghih-Imani, Ahmadreza & Hampshire, Robert & Marla, Lavanya & Eluru, Naveen, 2017. "An empirical analysis of bike sharing usage and rebalancing: Evidence from Barcelona and Seville," Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 177-191.
    23. Saxena, Shobhit & Bhat, Chandra R. & Pinjari, Abdul Rawoof, 2023. "Separation-based parameterization strategies for estimation of restricted covariance matrices in multivariate model systems," Journal of choice modelling, Elsevier, vol. 47(C).
    24. Ipek Sener & Chandra Bhat, 2012. "Flexible spatial dependence structures for unordered multinomial choice models: formulation and application to teenagers’ activity participation," Transportation, Springer, vol. 39(3), pages 657-683, May.
    25. Ferdous, Nazneen & Eluru, Naveen & Bhat, Chandra R. & Meloni, Italo, 2010. "A multivariate ordered-response model system for adults' weekday activity episode generation by activity purpose and social context," Transportation Research Part B: Methodological, Elsevier, vol. 44(8-9), pages 922-943, September.
    26. Páez, Antonio & López, Fernando A. & Ruiz, Manuel & Morency, Catherine, 2013. "Development of an indicator to assess the spatial fit of discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 217-233.
    27. Chandra Bhat, 2015. "A new spatial (social) interaction discrete choice model accommodating for unobserved effects due to endogenous network formation," Transportation, Springer, vol. 42(5), pages 879-914, September.
    28. Maria Kamargianni & Moshe Ben-Akiva & Amalia Polydoropoulou, 2014. "Incorporating social interaction into hybrid choice models," Transportation, Springer, vol. 41(6), pages 1263-1285, November.
    29. Frank Goetzke & Regine Gerike & Antonio Páez & Elenna Dugundji, 2015. "Social interactions in transportation: analyzing groups and spatial networks," Transportation, Springer, vol. 42(5), pages 723-731, September.

  34. Ferdous, Nazneen & Eluru, Naveen & Bhat, Chandra R. & Meloni, Italo, 2010. "A multivariate ordered-response model system for adults' weekday activity episode generation by activity purpose and social context," Transportation Research Part B: Methodological, Elsevier, vol. 44(8-9), pages 922-943, September.

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    1. Rezwana Rafiq & Michael G. McNally, 2021. "A study of tour formation: pre-, during, and post-recession analysis," Transportation, Springer, vol. 48(5), pages 2187-2233, October.
    2. Bhat, Chandra R., 2011. "The maximum approximate composite marginal likelihood (MACML) estimation of multinomial probit-based unordered response choice models," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 923-939, August.
    3. Olivier Beaumais & Apolline Niérat, 2019. "Exploring in-depth joint pro-environmental behaviors: a multivariate ordered probit approach," Working Papers hal-02361390, HAL.
    4. The Anh Pham & Hoang Huy Nguyen & Hung Duc Nguyen, 2019. "Price adjustment lags and their asymmetries in Vietnam," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 17(3), pages 342-359.
    5. Jie Ma & Xin Ye & Cheng Shi, 2018. "Development of Multivariate Ordered Probit Model to Understand Household Vehicle Ownership Behavior in Xiaoshan District of Hangzhou, China," Sustainability, MDPI, vol. 10(10), pages 1-17, October.
    6. Mothafer, Ghasak I.M.A. & Yamamoto, Toshiyuki & Shankar, Venkataraman N., 2018. "A multivariate heterogeneous-dispersion count model for asymmetric interdependent freeway crash types," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 84-105.
    7. Chakour, Vincent & Eluru, Naveen, 2016. "Examining the influence of stop level infrastructure and built environment on bus ridership in Montreal," Journal of Transport Geography, Elsevier, vol. 51(C), pages 205-217.
    8. Hou, Yuting & Yap, Winston & Chua, Rochelle & Song, Siqi & Yuen, Belinda, 2020. "The associations between older adults’ daily travel pattern and objective and perceived built environment: A study of three neighbourhoods in Singapore," Transport Policy, Elsevier, vol. 99(C), pages 314-328.
    9. Biying Yu & Junyi Zhang & Akimasa Fujiwara, 2013. "A Household Time-Use and Energy-Consumption Model with Multiple Behavioral Interactions and Zero Consumption," Environment and Planning B, , vol. 40(2), pages 330-349, April.
    10. Saxena, Shobhit & Pinjari, Abdul Rawoof & Paleti, Rajesh, 2022. "A multiple discrete-continuous extreme value model with ordered preferences (MDCEV-OP): Modelling framework for episode-level activity participation and time-use analysis," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 259-283.
    11. Arthur (Yan) Huang & David Levinson, 2016. "A model of two-destination choice in trip chains with GPS data," Working Papers 000145, University of Minnesota: Nexus Research Group.
    12. Arentze, Theo A. & Ettema, Dick & Timmermans, Harry J.P., 2011. "Estimating a model of dynamic activity generation based on one-day observations: Method and results," Transportation Research Part B: Methodological, Elsevier, vol. 45(2), pages 447-460, February.
    13. Reusens, Peter & Croux, Christophe, 2017. "Sovereign credit rating determinants: A comparison before and after the European debt crisis," Journal of Banking & Finance, Elsevier, vol. 77(C), pages 108-121.
    14. Pani, Agnivesh & Mishra, Sabya & Sahu, Prasanta, 2022. "Developing multi-vehicle freight trip generation models quantifying the relationship between logistics outsourcing and insourcing decisions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    15. Sobhani, Anae & Eluru, Naveen & Faghih-Imani, Ahmadreza, 2013. "A latent segmentation based multiple discrete continuous extreme value model," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 154-169.
    16. Felipe F. Dias & Patrícia S. Lavieri & Venu M. Garikapati & Sebastian Astroza & Ram M. Pendyala & Chandra R. Bhat, 2017. "A behavioral choice model of the use of car-sharing and ride-sourcing services," Transportation, Springer, vol. 44(6), pages 1307-1323, November.
    17. Sarangi, Punyabeet & Manoj, M., 2022. "Task-allocation among adult household members by activity purpose and accompanying person," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 246-266.
    18. Smith, Michael S. & Kauermann, Göran, 2011. "Bicycle commuting in Melbourne during the 2000s energy crisis: A semiparametric analysis of intraday volumes," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1846-1862.
    19. Piras, Francesco & Sottile, Eleonora & Tuveri, Giovanni & Meloni, Italo, 2021. "Could there be spillover effects between recreational and utilitarian cycling? A multivariate model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 297-311.
    20. Kaplan, Sigal & Wrzesinska, Dagmara K. & Prato, Carlo G., 2018. "The role of human needs in the intention to use conventional and electric bicycle sharing in a driving-oriented country," Transport Policy, Elsevier, vol. 71(C), pages 138-146.
    21. Nazneen Ferdous & Chandra Bhat, 2013. "A spatial panel ordered-response model with application to the analysis of urban land-use development intensity patterns," Journal of Geographical Systems, Springer, vol. 15(1), pages 1-29, January.

  35. Naveen Eluru & Chandra Bhat & Ram Pendyala & Karthik Konduri, 2010. "A joint flexible econometric model system of household residential location and vehicle fleet composition/usage choices," Transportation, Springer, vol. 37(4), pages 603-626, July.

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    2. Sabreena Anowar & Naveen Eluru & Luis F. Miranda-Moreno, 2014. "Alternative Modeling Approaches Used for Examining Automobile Ownership: A Comprehensive Review," Transport Reviews, Taylor & Francis Journals, vol. 34(4), pages 441-473, July.
    3. Macfarlane, Gregory S. & Garrow, Laurie A. & Mokhtarian, Patricia L., 2015. "The influences of past and present residential locations on vehicle ownership decisions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 186-200.
    4. Nazari, Fatemeh & Mohammadian, Abolfazl (Kouros), 2023. "Modeling vehicle-miles of travel accounting for latent heterogeneity," Transport Policy, Elsevier, vol. 133(C), pages 45-53.
    5. Zahabi, Seyed Amir H. & Miranda-Moreno, Luis & Patterson, Zachary & Barla, Philippe, 2015. "Spatio-temporal analysis of car distance, greenhouse gases and the effect of built environment: A latent class regression analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 1-13.
    6. Verena Gruber & Ingrid Peignier & Charlotte Dubuc & Yann-Édouard Cayard & Elinora Pentcheva, 2021. "Analyse des motivations d’achat de camions légers au Canada," CIRANO Project Reports 2021rp-06, CIRANO.
    7. Andrés Vallone & Coro Chasco & Beatriz Sánchez, 2020. "Strategies to access web-enabled urban spatial data for socioeconomic research using R functions," Journal of Geographical Systems, Springer, vol. 22(2), pages 217-239, April.
    8. Li, Tiebei & Dodson, Jago & Sipe, Neil, 2015. "Differentiating metropolitan transport disadvantage by mode: Household expenditure on private vehicle fuel and public transport fares in Brisbane, Australia," Journal of Transport Geography, Elsevier, vol. 49(C), pages 16-25.
    9. Rodrigo J. Tapia & Gerard Jong & Ana M. Larranaga & Helena B. Bettella Cybis, 2021. "Exploring Multiple‐discreteness in Freight Transport. A Multiple Discrete Extreme Value Model Application for Grain Consolidators in Argentina," Networks and Spatial Economics, Springer, vol. 21(3), pages 581-608, September.
    10. Faghih-Imani, Ahmadreza & Eluru, Naveen, 2016. "Determining the role of bicycle sharing system infrastructure installation decision on usage: Case study of montreal BIXI system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 685-698.
    11. Shasha Liu & Toshiyuki Yamamoto & Enjian Yao, 2023. "Joint modeling of mode choice and travel distance with intra-household interactions," Transportation, Springer, vol. 50(5), pages 1527-1552, October.
    12. Faan Chen & Adriano Borges Costa, 2024. "Exploring the causal effects of the built environment on travel behavior: a unique randomized experiment in Shanghai," Transportation, Springer, vol. 51(1), pages 215-245, February.
    13. Hackbarth, André & Madlener, Reinhard, 2018. "Combined Vehicle Type and Fuel Type Choices of Private Households: An Empirical Analysis for Germany," FCN Working Papers 17/2018, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised May 2019.
    14. Guan, Xiaodong & Wang, Donggen, 2020. "The multiplicity of self-selection: What do travel attitudes influence first, residential location or work place?," Journal of Transport Geography, Elsevier, vol. 87(C).
    15. Sabreena Anowar & Shamsunnahar Yasmin & Naveen Eluru & Luis Miranda-Moreno, 2014. "Analyzing car ownership in Quebec City: a comparison of traditional and latent class ordered and unordered models," Transportation, Springer, vol. 41(5), pages 1013-1039, September.
    16. Sobhani, Anae & Eluru, Naveen & Faghih-Imani, Ahmadreza, 2013. "A latent segmentation based multiple discrete continuous extreme value model," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 154-169.
    17. Christopher Harding & Zachary Patterson & Luis F Miranda-Moreno & Seyed Amir Zahabi, 2014. "A Spatial and Temporal Comparative Analysis of the Effects of Land-Use Clusters on Activity Spaces in Three Quebec Cities," Environment and Planning B, , vol. 41(6), pages 1044-1062, December.
    18. De Vos, Jonas & Ettema, Dick & Witlox, Frank, 2018. "Changing travel behaviour and attitudes following a residential relocation," Journal of Transport Geography, Elsevier, vol. 73(C), pages 131-147.
    19. Maged Senbel & Waleed Giratalla & Kevin Zhang & Meidad Kissinger, 2014. "Compact Development without Transit: Life-Cycle GHG Emissions from Four Variations of Residential Density in Vancouver," Environment and Planning A, , vol. 46(5), pages 1226-1243, May.
    20. Fatmi, Mahmudur Rahman & Chowdhury, Subeh & Habib, Muhammad Ahsanul, 2017. "Life history-oriented residential location choice model: A stress-based two-tier panel modeling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 293-307.
    21. Toshiyuki Yamamoto & Jean-Loup Madre & Matthieu Lapparent & Roger Collet, 2020. "A random heaping model of annual vehicle kilometres travelled considering heterogeneous approximation in reporting," Transportation, Springer, vol. 47(3), pages 1027-1045, June.
    22. Vij, Akshay & Carrel, André & Walker, Joan L., 2013. "Incorporating the influence of latent modal preferences on travel mode choice behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 54(C), pages 164-178.
    23. Zahabi, Seyed & Miranda-Moreno, Luis & Patterson, Zachary & Barla, Philippe, 2012. "Evaluating the effects of land use and strategies for parking and transit supply on mode choice of downtown commuters," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 5(2), pages 103-119.
    24. Querini, Florent & Benetto, Enrico, 2014. "Agent-based modelling for assessing hybrid and electric cars deployment policies in Luxembourg and Lorraine," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 149-161.
    25. Kim, Sung Hoo & Mokhtarian, Patricia L., 2018. "Taste heterogeneity as an alternative form of endogeneity bias: Investigating the attitude-moderated effects of built environment and socio-demographics on vehicle ownership using latent class modelin," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 130-150.

  36. Bhat, Chandra R. & Sen, Sudeshna & Eluru, Naveen, 2009. "The impact of demographics, built environment attributes, vehicle characteristics, and gasoline prices on household vehicle holdings and use," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 1-18, January.

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    1. Bhat, Chandra R. & Mondal, Aupal & Asmussen, Katherine E. & Bhat, Aarti C., 2020. "A multiple discrete extreme value choice model with grouped consumption data and unobserved budgets," Transportation Research Part B: Methodological, Elsevier, vol. 141(C), pages 196-222.
    2. Laviolette, Jérôme & Morency, Catherine & Waygood, E.O.D., 2022. "A kilometer or a mile? Does buffer size matter when it comes to car ownership?," Journal of Transport Geography, Elsevier, vol. 104(C).
    3. Gabriel Damant-Sirois & Michael Grimsrud & Ahmed El-Geneidy, 2014. "What’s your type: a multidimensional cyclist typology," Transportation, Springer, vol. 41(6), pages 1153-1169, November.
    4. Yu, Biying & Zhang, Junyi & Fujiwara, Akimasa, 2011. "Representing in-home and out-of-home energy consumption behavior in Beijing," Energy Policy, Elsevier, vol. 39(7), pages 4168-4177, July.
    5. Michael Bahles & Gina Cook, 2017. "Car Motivations in the Young Target Group: An International Perspective," Central European Business Review, Prague University of Economics and Business, vol. 2017(3), pages 3-15.
    6. Kumar Dey, Bibhas & Anowar, Sabreena & Eluru, Naveen, 2021. "A framework for estimating bikeshare origin destination flows using a multiple discrete continuous system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 119-133.
    7. Chandra Bhat & Abdul Pinjari, 2014. "Multiple discrete-continuous choice models: a reflective analysis and a prospective view," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 19, pages 427-454, Edward Elgar Publishing.
    8. Jian, Sisi & Rashidi, Taha Hossein & Dixit, Vinayak, 2017. "An analysis of carsharing vehicle choice and utilization patterns using multiple discrete-continuous extreme value (MDCEV) models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 362-376.
    9. Zunian Luo, 2022. "Cap or No Cap? What Can Governments Do to Promote EV Sales?," Papers 2212.08137, arXiv.org.
    10. Sabreena Anowar & Naveen Eluru & Luis F. Miranda-Moreno, 2014. "Alternative Modeling Approaches Used for Examining Automobile Ownership: A Comprehensive Review," Transport Reviews, Taylor & Francis Journals, vol. 34(4), pages 441-473, July.
    11. Don Fullerton & Li Gan & Miwa Hattori, 2015. "A model to evaluate vehicle emission incentive policies in Japan," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 17(1), pages 79-108, January.
    12. Jing Cheng & Xiaowei Luo, 2022. "Analyzing the Land Leasing Behavior of the Government of Beijing, China, via the Multinomial Logit Model," Land, MDPI, vol. 11(3), pages 1-14, March.
    13. Musti, Sashank & Kockelman, Kara M., 2011. "Evolution of the household vehicle fleet: Anticipating fleet composition, PHEV adoption and GHG emissions in Austin, Texas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(8), pages 707-720, October.
    14. Fatmi, Mahmudur Rahman & Habib, Muhammad Ahsanul, 2018. "Microsimulation of vehicle transactions within a life-oriented integrated urban modeling system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 497-512.
    15. Sikder, Sujan & Pinjari, Abdul Rawoof, 2013. "The benefits of allowing heteroscedastic stochastic distributions in multiple discrete-continuous choice models," Journal of choice modelling, Elsevier, vol. 9(C), pages 39-56.
    16. Peng Chen & Wei Zhai & Xiankui Yang, 2023. "Enhancing resilience and mobility services for vulnerable groups facing extreme weather: lessons learned from Snowstorm Uri in Harris County, Texas," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(2), pages 1573-1594, September.
    17. Song, Siqi & Diao, Mi & Feng, Chen-Chieh, 2016. "Individual transport emissions and the built environment: A structural equation modelling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 206-219.
    18. Whitehead, Jake & Franklin, Joel P. & Washington, Simon, 2014. "The impact of a congestion pricing exemption on the demand for new energy efficient vehicles in Stockholm," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 24-40.
    19. Galarraga, Ibon & Kallbekken, Steffen & Silvestri, Alessandro, 2020. "Consumer purchases of energy-efficient cars: How different labelling schemes could affect consumer response to price changes," Energy Policy, Elsevier, vol. 137(C).
    20. Heres-Del-Valle, David & Niemeier, Deb, 2011. "CO2 emissions: Are land-use changes enough for California to reduce VMT? Specification of a two-part model with instrumental variables," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 150-161, January.
    21. Enam, Annesha & Konduri, Karthik C. & Pinjari, Abdul R. & Eluru, Naveen, 2018. "An integrated choice and latent variable model for multiple discrete continuous choice kernels: Application exploring the association between day level moods and discretionary activity engagement choi," Journal of choice modelling, Elsevier, vol. 26(C), pages 80-100.
    22. Liu, Yangwen & Tremblay, Jean-Michel & Cirillo, Cinzia, 2014. "An integrated model for discrete and continuous decisions with application to vehicle ownership, type and usage choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 315-328.
    23. Soltani, Ali, 2017. "Social and urban form determinants of vehicle ownership; evidence from a developing country," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 90-100.
    24. Tingting Wang & Cynthia Chen, 2014. "Impact of fuel price on vehicle miles traveled (VMT): do the poor respond in the same way as the rich?," Transportation, Springer, vol. 41(1), pages 91-105, January.
    25. He, Brian Y. & Zhou, Jinkai & Ma, Ziyi & Chow, Joseph Y.J. & Ozbay, Kaan, 2020. "Evaluation of city-scale built environment policies in New York City with an emerging-mobility-accessible synthetic population," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 444-467.
    26. Bhat, Chandra R. & Astroza, Sebastian & Sidharthan, Raghuprasad & Alam, Mohammad Jobair Bin & Khushefati, Waleed H., 2014. "A joint count-continuous model of travel behavior with selection based on a multinomial probit residential density choice model," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 31-51.
    27. Cinzia Cirillo & Yangwen Liu & Jean-Michel Tremblay, 2017. "Simulation, numerical approximation and closed forms for joint discrete continuous models with an application to household vehicle ownership and use," Transportation, Springer, vol. 44(5), pages 1105-1125, September.
    28. Rith, Monorom & Fillone, Alexis M. & Biona, Jose Bienvenido Manuel M., 2020. "Energy and environmental benefits and policy implications for private passenger vehicles in an emerging metropolis of Southeast Asia – A case study of Metro Manila," Applied Energy, Elsevier, vol. 275(C).
    29. Bhat, Chandra R. & Pinjari, Abdul R. & Dubey, Subodh K. & Hamdi, Amin S., 2016. "On accommodating spatial interactions in a Generalized Heterogeneous Data Model (GHDM) of mixed types of dependent variables," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 240-263.
    30. Gabriel M. Ahlfeldt & Elisabetta Pietrostefani, 2017. "The Economic Effects of Density: A Synthesis," SERC Discussion Papers 0210, Centre for Economic Performance, LSE.
    31. Kate E. Whalen & Antonio Páez & Chandra Bhat & Md Moniruzzaman & Rajesh Paleti, 2012. "T-communities and Sense of Community in a University Town: Evidence from a Student Sample using a Spatial Ordered-response Model," Urban Studies, Urban Studies Journal Limited, vol. 49(6), pages 1357-1376, May.
    32. Tscharaktschiew, Stefan, 2014. "Shedding light on the appropriateness of the (high) gasoline tax level in Germany," Economics of Transportation, Elsevier, vol. 3(3), pages 189-210.
    33. Saxena, Shobhit & Pinjari, Abdul Rawoof & Paleti, Rajesh, 2022. "A multiple discrete-continuous extreme value model with ordered preferences (MDCEV-OP): Modelling framework for episode-level activity participation and time-use analysis," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 259-283.
    34. Sykes, Maxwell & Axsen, Jonn, 2017. "No free ride to zero-emissions: Simulating a region's need to implement its own zero-emissions vehicle (ZEV) mandate to achieve 2050 GHG targets," Energy Policy, Elsevier, vol. 110(C), pages 447-460.
    35. Yu, Biying & Yang, Xiaojuan & Zhao, Qingyu & Tan, Jinxiao, 2020. "Causal Effect of Time-Use Behavior on Residential Energy Consumption in China," Ecological Economics, Elsevier, vol. 175(C).
    36. Li, Tiebei & Dodson, Jago & Sipe, Neil, 2015. "Differentiating metropolitan transport disadvantage by mode: Household expenditure on private vehicle fuel and public transport fares in Brisbane, Australia," Journal of Transport Geography, Elsevier, vol. 49(C), pages 16-25.
    37. Soares, N. & Martins, A.G. & Carvalho, A.L. & Caldeira, C. & Du, C. & Castanheira, É. & Rodrigues, E. & Oliveira, G. & Pereira, G.I. & Bastos, J. & Ferreira, J.P. & Ribeiro, L.A. & Figueiredo, N.C. & , 2018. "The challenging paradigm of interrelated energy systems towards a more sustainable future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 171-193.
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    59. Mabit, Stefan L., 2014. "Vehicle type choice under the influence of a tax reform and rising fuel prices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 64(C), pages 32-42.
    60. Pinjari, Abdul Rawoof & Bhat, Chandra, 2010. "A multiple discrete-continuous nested extreme value (MDCNEV) model: Formulation and application to non-worker activity time-use and timing behavior on weekdays," Transportation Research Part B: Methodological, Elsevier, vol. 44(4), pages 562-583, May.
    61. Reid Ewing & Guang Tian & JP Goates & Ming Zhang & Michael J Greenwald & Alex Joyce & John Kircher & William Greene, 2015. "Varying influences of the built environment on household travel in 15 diverse regions of the United States," Urban Studies, Urban Studies Journal Limited, vol. 52(13), pages 2330-2348, October.
    62. Harris, Chioke B. & Webber, Michael E., 2014. "An empirically-validated methodology to simulate electricity demand for electric vehicle charging," Applied Energy, Elsevier, vol. 126(C), pages 172-181.
    63. Chen, T. Donna & Wang, Yiyi & Kockelman, Kara M., 2015. "Where are the electric vehicles? A spatial model for vehicle-choice count data," Journal of Transport Geography, Elsevier, vol. 43(C), pages 181-188.
    64. Kotval-K, Zeenat & Vojnovic, Igor, 2016. "A socio-ecological exploration into urban form: The environmental costs of travel," Ecological Economics, Elsevier, vol. 128(C), pages 87-98.
    65. Kyle Kinler & Jeffrey Wagner, 2014. "Greenness versus safety in vehicle footprint selection," Letters in Spatial and Resource Sciences, Springer, vol. 7(1), pages 35-45, March.
    66. Toshiyuki Yamamoto & Jean-Loup Madre & Matthieu Lapparent & Roger Collet, 2020. "A random heaping model of annual vehicle kilometres travelled considering heterogeneous approximation in reporting," Transportation, Springer, vol. 47(3), pages 1027-1045, June.
    67. Ji, Wei, 2018. "Data-Driven Behavior Analysis and Implications in Plug-in Electric Vehicle Policy Studies," Institute of Transportation Studies, Working Paper Series qt6dw4d18t, Institute of Transportation Studies, UC Davis.
    68. Baltas, George & Saridakis, Charalampos, 2013. "An empirical investigation of the impact of behavioural and psychographic consumer characteristics on car preferences: An integrated model of car type choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 54(C), pages 92-110.
    69. Cheng, Jing, 2020. "Analyzing the factors influencing the choice of the government on leasing different types of land uses: Evidence from Shanghai of China," Land Use Policy, Elsevier, vol. 90(C).
    70. Lanjing Wang & Chunli Zhao & Xiaofei Liu & Xumei Chen & Chaoyang Li & Tao Wang & Jiani Wu & Yi Zhang, 2021. "Non-Linear Effects of the Built Environment and Social Environment on Bus Use among Older Adults in China: An Application of the XGBoost Model," IJERPH, MDPI, vol. 18(18), pages 1-22, September.
    71. Pinjari, Abdul Rawoof & Augustin, Bertho & Sivaraman, Vijayaraghavan & Faghih Imani, Ahmadreza & Eluru, Naveen & Pendyala, Ram M., 2016. "Stochastic frontier estimation of budgets for Kuhn–Tucker demand systems: Application to activity time-use analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 117-133.
    72. Kemal Çelik & Erkan Oktay & Muhsin Doğan Ebül & Ömer Özhancı, 2015. "Factors influencing consumers’ light commercial vehicle purchase intention in a developing country," Management & Marketing, Sciendo, vol. 10(2), pages 148-162, September.
    73. Querini, Florent & Benetto, Enrico, 2014. "Agent-based modelling for assessing hybrid and electric cars deployment policies in Luxembourg and Lorraine," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 149-161.
    74. Páez, Antonio & Moniruzzaman, Md. & Bourbonnais, Pierre-Leo & Morency, Catherine, 2013. "Developing a web-based accessibility calculator prototype for the Greater Montreal Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 58(C), pages 103-115.
    75. Kushneel Prakash & Sefa Awaworyi Churchill & Russell Smyth, 2022. "Petrol prices and obesity," Health Economics, John Wiley & Sons, Ltd., vol. 31(7), pages 1381-1401, July.
    76. Simora, Michael & Vance, Colin, 2017. "Travel mode and tour complexity: The roles of fuel price and built environment," Ruhr Economic Papers 711, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    77. Bhat, Chandra R. & Castro, Marisol & Pinjari, Abdul Rawoof, 2015. "Allowing for complementarity and rich substitution patterns in multiple discrete–continuous models," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 59-77.

  37. Bhat, Chandra R. & Eluru, Naveen, 2009. "A copula-based approach to accommodate residential self-selection effects in travel behavior modeling," Transportation Research Part B: Methodological, Elsevier, vol. 43(7), pages 749-765, August.

    Cited by:

    1. Dubey, Subodh & Bansal, Prateek & Daziano, Ricardo A. & Guerra, Erick, 2020. "A Generalized Continuous-Multinomial Response Model with a t-distributed Error Kernel," Transportation Research Part B: Methodological, Elsevier, vol. 133(C), pages 114-141.
    2. Cao, Jason, 2014. "Residential self-selection in the relationships between the built environment and travel behavior: Introduction to the special issue," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(3), pages 1-3.
    3. Ali Ardeshiri & Akshay Vij, 2019. "A lifestyle-based model of household neighbourhood location and individual travel mode choice behaviours," Papers 1902.01986, arXiv.org, revised Nov 2019.
    4. Liu, Yan & Wang, Siqin & Xie, Bin, 2019. "Evaluating the effects of public transport fare policy change together with built and non-built environment features on ridership: The case in South East Queensland, Australia," Transport Policy, Elsevier, vol. 76(C), pages 78-89.
    5. Sabreena Anowar & Naveen Eluru & Luis F. Miranda-Moreno, 2014. "Alternative Modeling Approaches Used for Examining Automobile Ownership: A Comprehensive Review," Transport Reviews, Taylor & Francis Journals, vol. 34(4), pages 441-473, July.
    6. Pigini Claudia, 2015. "Bivariate Non-Normality in the Sample Selection Model," Journal of Econometric Methods, De Gruyter, vol. 4(1), pages 1-22, January.
    7. Chen, Heng & Fan, Yanqin & Wu, Jisong, 2014. "A flexible parametric approach for estimating switching regime models and treatment effect parameters," Journal of Econometrics, Elsevier, vol. 181(2), pages 77-91.
    8. Taha Hossein Rashidi & Matthew J. Roorda, 2018. "A business establishment fleet ownership and composition model," Transportation, Springer, vol. 45(3), pages 971-987, May.
    9. Karol Wyszynski & Giampiero Marra, 2018. "Sample selection models for count data in R," Computational Statistics, Springer, vol. 33(3), pages 1385-1412, September.
    10. Behram Wali & Paolo Santi & Carlo Ratti, 2023. "A joint demand modeling framework for ride-sourcing and dynamic ridesharing services: a geo-additive Markov random field based heterogeneous copula framework," Transportation, Springer, vol. 50(5), pages 1809-1845, October.
    11. Abay, Kibrom A. & Paleti, Rajesh & Bhat, Chandra R., 2013. "The joint analysis of injury severity of drivers in two-vehicle crashes accommodating seat belt use endogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 50(C), pages 74-89.
    12. Lee, Changyeon, 2020. "Impacts of two-scale urban form and their combined effects on commute modes in U.S. metropolitan areas," Journal of Transport Geography, Elsevier, vol. 88(C).
    13. Phani Kumar, P. & Ravi Sekhar, Ch. & Parida, Manoranjan, 2018. "Residential dissonance in TOD neighborhoods," Journal of Transport Geography, Elsevier, vol. 72(C), pages 166-177.
    14. Rachida El Mehdi & Christian M. Hafner, 2021. "A Starting Note: Panel Stochastic Frontier Analysis with Dependent Error Terms," International Econometric Review (IER), Econometric Research Association, vol. 13(2), pages 24-40, June.
    15. Bhat, Chandra R. & Mondal, Aupal, 2022. "A New Flexible Generalized Heterogeneous Data Model (GHDM) with an Application to Examine the Effect of High Density Neighborhood Living on Bicycling Frequency," Transportation Research Part B: Methodological, Elsevier, vol. 164(C), pages 244-266.
    16. Pan, Yue & Qin, Jianjun & Hou, Yongmao & Chen, Jin-Jian, 2024. "Two-stage support vector machine-enabled deep excavation settlement prediction considering class imbalance and multi-source uncertainties," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    17. Zhaoqi Zang & Xiangdong Xu & Kai Qu & Ruiya Chen & Anthony Chen, 2022. "Travel time reliability in transportation networks: A review of methodological developments," Papers 2206.12696, arXiv.org, revised Jul 2022.
    18. Naveen Eluru & Chandra Bhat & Ram Pendyala & Karthik Konduri, 2010. "A joint flexible econometric model system of household residential location and vehicle fleet composition/usage choices," Transportation, Springer, vol. 37(4), pages 603-626, July.
    19. LEE, Sungwon & LEE, Bumsoo, 2020. "Comparing the impacts of local land use and urban spatial structure on household VMT and GHG emissions," Journal of Transport Geography, Elsevier, vol. 84(C).
    20. Ipek Sener & Chandra Bhat, 2012. "Modeling the spatial and temporal dimensions of recreational activity participation with a focus on physical activities," Transportation, Springer, vol. 39(3), pages 627-656, May.
    21. Bhat, Chandra R. & Astroza, Sebastian & Sidharthan, Raghuprasad & Alam, Mohammad Jobair Bin & Khushefati, Waleed H., 2014. "A joint count-continuous model of travel behavior with selection based on a multinomial probit residential density choice model," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 31-51.
    22. Fang, Zhenyuan & Zhu, Shichao & Fu, Xin & Liu, Fang & Huang, Helai & Tang, Jinjun, 2022. "Multivariate analysis of traffic flow using copula-based model at an isolated road intersection," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 599(C).
    23. Mothafer, Ghasak I.M.A. & Yamamoto, Toshiyuki & Shankar, Venkataraman N., 2018. "A multivariate heterogeneous-dispersion count model for asymmetric interdependent freeway crash types," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 84-105.
    24. Ozonder, Gozde & Miller, Eric J., 2021. "Longitudinal investigation of skeletal activity episode timing decisions – A copula approach," Journal of choice modelling, Elsevier, vol. 40(C).
    25. Irannezhad, Elnaz & Prato, Carlo & Hickman, Mark, 2019. "A joint hybrid model of the choices of container terminals and of dwell time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 119-133.
    26. Chandra Bhat & Ipek Sener, 2009. "A copula-based closed-form binary logit choice model for accommodating spatial correlation across observational units," Journal of Geographical Systems, Springer, vol. 11(3), pages 243-272, September.
    27. Dalla Valle Luciana, 2016. "The Use of Official Statistics in Self-Selection Bias Modeling," Journal of Official Statistics, Sciendo, vol. 32(4), pages 887-905, December.
    28. Hong, Jinhyun & Thakuriah, Piyushimita Vonu, 2018. "Examining the relationship between different urbanization settings, smartphone use to access the Internet and trip frequencies," Journal of Transport Geography, Elsevier, vol. 69(C), pages 11-18.
    29. Reid Ewing & Shima Hamidi & James B Grace, 2016. "Compact development and VMT—Environmental determinism, self-selection, or some of both?," Environment and Planning B, , vol. 43(4), pages 737-755, July.
    30. Chandra R. Bhat & Patrícia S. Lavieri, 2018. "A new mixed MNP model accommodating a variety of dependent non-normal coefficient distributions," Theory and Decision, Springer, vol. 84(2), pages 239-275, March.
    31. Mirkan Geyik & Patrick Bonnel, 2016. "Évolution de l’usage des modes de transport - Analyse des facteurs explicatifs : application à l’agglomération lyonnaise," Working Papers halshs-01685748, HAL.
    32. Bhat, Chandra R. & Astroza, Sebastian & Bhat, Aarti C. & Nagel, Kai, 2016. "Incorporating a multiple discrete-continuous outcome in the generalized heterogeneous data model: Application to residential self-selection effects analysis in an activity time-use behavior model," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 52-76.
    33. van Herick, David & Mokhtarian, Patricia L., 2021. "Quantifying the share of total apparent effect that is genuinely due to a treatment: A comparison of methods," Research in Transportation Economics, Elsevier, vol. 90(C).
    34. Faghih-Imani, Ahmadreza & Eluru, Naveen, 2016. "Determining the role of bicycle sharing system infrastructure installation decision on usage: Case study of montreal BIXI system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 685-698.
    35. Claudia PIGINI, 2012. "Of Butterflies and Caterpillars: Bivariate Normality in the Sample Selection Model," Working Papers 377, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    36. Kim, Sung Hoo & Mokhtarian, Patricia L., 2023. "Comparisons of observed and unobserved parameter heterogeneity in modeling vehicle-miles driven," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    37. Yu, Le & Xie, Binglei & Chan, Edwin H.W., 2019. "Exploring impacts of the built environment on transit travel: Distance, time and mode choice, for urban villages in Shenzhen, China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 132(C), pages 57-71.
    38. Erika Spissu & Abdul Pinjari & Ram Pendyala & Chandra Bhat, 2009. "A copula-based joint multinomial discrete–continuous model of vehicle type choice and miles of travel," Transportation, Springer, vol. 36(4), pages 403-422, July.
    39. Sener, Ipek N. & Reeder, Phillip R., 2014. "An integrated analysis of workers’ physically active activity and active travel choice behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 381-393.
    40. Wojtyś, Magorzata & Marra, Giampiero & Radice, Rosalba, 2016. "Copula Regression Spline Sample Selection Models: The R Package SemiParSampleSel," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 71(i06).
    41. Tae-Hyoung Tommy Gim, 2016. "Testing the Reciprocal Relationship between Attitudes and Land Use in Relation to Trip Frequencies," International Regional Science Review, , vol. 39(2), pages 203-227, April.
    42. Shasha Liu & Toshiyuki Yamamoto & Enjian Yao, 2023. "Joint modeling of mode choice and travel distance with intra-household interactions," Transportation, Springer, vol. 50(5), pages 1527-1552, October.
    43. Cao, Jason & Ettema, Dick, 2014. "Satisfaction with travel and residential self-selection: How do preferences moderate the impact of the Hiawatha Light Rail Transit line?," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(3), pages 93-108.
    44. Cao, Xinyu (Jason) & Xu, Zhiyi & Fan, Yingling, 2010. "Exploring the connections among residential location, self-selection, and driving: Propensity score matching with multiple treatments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(10), pages 797-805, December.
    45. Faan Chen & Adriano Borges Costa, 2024. "Exploring the causal effects of the built environment on travel behavior: a unique randomized experiment in Shanghai," Transportation, Springer, vol. 51(1), pages 215-245, February.
    46. Ipek N Sener & Phillip R Reeder, 2012. "An Examination of Behavioral Linkages across ICT Choice Dimensions: Copula Modeling of Telecommuting and Teleshopping Choice Behavior," Environment and Planning A, , vol. 44(6), pages 1459-1478, June.
    47. Lin, Tao & Wang, Donggen & Guan, Xiaodong, 2017. "The built environment, travel attitude, and travel behavior: Residential self-selection or residential determination?," Journal of Transport Geography, Elsevier, vol. 65(C), pages 111-122.
    48. Guan, Xiaodong & Wang, Donggen, 2020. "The multiplicity of self-selection: What do travel attitudes influence first, residential location or work place?," Journal of Transport Geography, Elsevier, vol. 87(C).
    49. Xinyu Cao & Patricia L. Mokhtarian, 2012. "The connections among accessibility, self- selection and walking behaviour: a case study of Northern California residents," Chapters, in: Karst T. Geurs & Kevin J. Krizek & Aura Reggiani (ed.), Accessibility Analysis and Transport Planning, chapter 5, pages 73-95, Edward Elgar Publishing.
    50. Reid Ewing & Harry W. Richardson & Keith Bartholomew & Arthur C. Nelson & Chang-Hee Christine Bae, 2014. "Compactness vs. Sprawl Revisited: Converging Views," CESifo Working Paper Series 4571, CESifo.
    51. Mishra, Gouri Shankar & Clewlow, Regina R. & Mokhtarian, Patricia L. & Widaman, Keith F., 2015. "The effect of carsharing on vehicle holdings and travel behavior: A propensity score and causal mediation analysis of the San Francisco Bay Area," Research in Transportation Economics, Elsevier, vol. 52(C), pages 46-55.
    52. Andrew Perumal & David Timmons, 2017. "Contextual Density and US Automotive CO2 Emissions across the Rural–Urban Continuum," International Regional Science Review, , vol. 40(6), pages 590-615, November.
    53. Michael Stanley Smith, 2021. "Implicit Copulas: An Overview," Papers 2109.04718, arXiv.org.
    54. Jeffrey LaMondia & Chandra Bhat, 2012. "A conceptual and methodological framework of leisure activity loyalty accommodating the travel context," Transportation, Springer, vol. 39(2), pages 321-349, March.
    55. Sobhani, Anae & Eluru, Naveen & Faghih-Imani, Ahmadreza, 2013. "A latent segmentation based multiple discrete continuous extreme value model," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 154-169.
    56. Rahman, Moshiur & Yasmin, Shamsunnahar & Eluru, Naveen, 2019. "Controlling for endogeneity between bus headway and bus ridership: A case study of the Orlando region," Transport Policy, Elsevier, vol. 81(C), pages 208-219.
    57. Brown, Austin L. & Fleming, Kelly L. & Lipman, Timothy & Fulton, Lew & Saphores, Jean Daniel & Tal, Gil & Murphy, Colin W & Shaheen, Susan & Austin, Bernadette & Garcia Sanchez, Juan Carlos & Martin, , 2020. "Carbon Neutrality Study 1:Driving California’s Transportation Emissions to Zero," Institute of Transportation Studies, Working Paper Series qt5zb1238j, Institute of Transportation Studies, UC Davis.
    58. Ji, Xiangfeng & Chu, Yanyu, 2020. "A target-oriented bi-attribute user equilibrium model with travelers’ perception errors on the tolled traffic network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    59. Zhang, Hui & Zhang, Junyi & Kuwano, Masashi, 2012. "An integrated model of tourists’ time use and expenditure behaviour with self-selection based on a fully nested Archimedean copula function," Tourism Management, Elsevier, vol. 33(6), pages 1562-1573.
    60. Ipek Sener & Chandra Bhat, 2012. "Flexible spatial dependence structures for unordered multinomial choice models: formulation and application to teenagers’ activity participation," Transportation, Springer, vol. 39(3), pages 657-683, May.
    61. Smith, Michael S. & Kauermann, Göran, 2011. "Bicycle commuting in Melbourne during the 2000s energy crisis: A semiparametric analysis of intraday volumes," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1846-1862.
    62. Bhat, Chandra R. & Sener, Ipek N. & Eluru, Naveen, 2010. "A flexible spatially dependent discrete choice model: Formulation and application to teenagers' weekday recreational activity participation," Transportation Research Part B: Methodological, Elsevier, vol. 44(8-9), pages 903-921, September.
    63. Tae-Hyoung Tommy Gim, 2018. "An Analysis of the Relationship between Land Use and Weekend Travel: Focusing on the Internal Capture of Trips," Sustainability, MDPI, vol. 10(2), pages 1-17, February.
    64. Dias, Charitha & Abdullah, Muhammad & Lovreglio, Ruggiero & Sachchithanantham, Sumana & Rekatheeban, Markkandu & Sathyaprasad, I.M.S., 2022. "Exploring home-to-school trip mode choices in Kandy, Sri Lanka," Journal of Transport Geography, Elsevier, vol. 99(C).
    65. Luis Miranda-Moreno & Naveen Eluru & Martin Lee-Gosselin & Tyler Kreider, 2012. "Impact of ICT access on personal activity space and greenhouse gas production: evidence from Quebec City, Canada," Transportation, Springer, vol. 39(5), pages 895-918, September.
    66. Smith, Michael Stanley, 2023. "Implicit Copulas: An Overview," Econometrics and Statistics, Elsevier, vol. 28(C), pages 81-104.
    67. Zhao, Juanjuan & Ren, Huan & Gu, Yan & Pan, Haojie, 2023. "Relationships between the residential environment, travel attitude and behaviour among knowledge workers: The role of job types," Journal of Transport Geography, Elsevier, vol. 106(C).
    68. Brown, Austin L. & Sperling, Daniel & Austin, Bernadette & DeShazo, JR & Fulton, Lew & Lipman, Timothy & Murphy, Colin W & Saphores, Jean Daniel & Tal, Gil & Abrams, Carolyn & Chakraborty, Debapriya &, 2021. "Driving California’s Transportation Emissions to Zero," Institute of Transportation Studies, Working Paper Series qt3np3p2t0, Institute of Transportation Studies, UC Davis.
    69. Xinyu Cao & Daniel Chatman, 2016. "How will smart growth land-use policies affect travel? A theoretical discussion on the importance of residential sorting," Environment and Planning B, , vol. 43(1), pages 58-73, January.
    70. Yajie Zou & Xinzhi Zhong & Jinjun Tang & Xin Ye & Lingtao Wu & Muhammad Ijaz & Yinhai Wang, 2019. "A Copula-Based Approach for Accommodating the Underreporting Effect in Wildlife‒Vehicle Crash Analysis," Sustainability, MDPI, vol. 11(2), pages 1-13, January.
    71. Wang, Dongeen & Lin, Tao, 2014. "Residential self-selection, built environment, and travel behavior in the Chinese context," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(3), pages 5-14.
    72. Keya, Nowreen & Anowar, Sabreena & Eluru, Naveen, 2019. "Joint model of freight mode choice and shipment size: A copula-based random regret minimization framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 97-115.
    73. Brownstone, David & Golob, Thomas F., 2009. "The impact of residential density on vehicle usage and energy consumption," Journal of Urban Economics, Elsevier, vol. 65(1), pages 91-98, January.
    74. Jokubauskaitė, Simona & Hössinger, Reinhard & Aschauer, Florian & Gerike, Regine & Jara-Díaz, Sergio & Peer, Stefanie & Schmid, Basil & Axhausen, Kay W. & Leisch, Friedrich, 2019. "Advanced continuous-discrete model for joint time-use expenditure and mode choice estimation," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 397-421.
    75. Subodh Dubey & Prateek Bansal & Ricardo A. Daziano & Erick Guerra, 2019. "A Generalized Continuous-Multinomial Response Model with a t-distributed Error Kernel," Papers 1904.08332, arXiv.org, revised Jan 2020.
    76. Nejad, Mohammad Motalleb & Erdogan, Sevgi & Cirillo, Cinzia, 2021. "A statistical approach to small area synthetic population generation as a basis for carless evacuation planning," Journal of Transport Geography, Elsevier, vol. 90(C).
    77. Alireza Ermagun & Amir Samimi, 2018. "Mode choice and travel distance joint models in school trips," Transportation, Springer, vol. 45(6), pages 1755-1781, November.

  38. Ipek Sener & Naveen Eluru & Chandra Bhat, 2009. "An analysis of bicycle route choice preferences in Texas, US," Transportation, Springer, vol. 36(5), pages 511-539, September.

    Cited by:

    1. Bandhan Bandhu Majumdar & Sudeshna Mitra, 2019. "A study on route choice preferences for commuter and non-commuter bicyclists: a case study of Kharagpur and Asansol, India," Transportation, Springer, vol. 46(5), pages 1839-1865, October.
    2. Yeran Sun & Yunyan Du & Yu Wang & Liyuan Zhuang, 2017. "Examining Associations of Environmental Characteristics with Recreational Cycling Behaviour by Street-Level Strava Data," IJERPH, MDPI, vol. 14(6), pages 1-12, June.
    3. Bhat, Chandra R. & Astroza, Sebastian & Hamdi, Amin S., 2017. "A spatial generalized ordered-response model with skew normal kernel error terms with an application to bicycling frequency," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 126-148.
    4. Tineke de Jong & Lars Böcker & Christian Weber, 2023. "Road infrastructures, spatial surroundings, and the demand and route choices for cycling: Evidence from a GPS-based mode detection study from Oslo, Norway," Environment and Planning B, , vol. 50(8), pages 2133-2150, October.
    5. Yeran Sun & Amin Mobasheri, 2017. "Utilizing Crowdsourced Data for Studies of Cycling and Air Pollution Exposure: A Case Study Using Strava Data," IJERPH, MDPI, vol. 14(3), pages 1-19, March.
    6. Meister, Adrian & Felder, Matteo & Schmid, Basil & Axhausen, Kay W., 2023. "Route choice modeling for cyclists on urban networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    7. Hanaoka, Kazumasa & Nakaya, Tomoki & Yano, Keiji & Inoue, Shigeru, 2014. "Network-based spatial interpolation of commuting trajectories: application of a university commuting management project in Kyoto, Japan," Journal of Transport Geography, Elsevier, vol. 34(C), pages 274-281.
    8. Palhazi Cuervo, Daniel & Kessels, Roselinde & Goos, Peter & Sörensen, Kenneth, 2016. "An integrated algorithm for the optimal design of stated choice experiments with partial profiles," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 648-669.
    9. George Liu & Samuel Nello‐Deakin & Marco te Brömmelstroet & Yuki Yamamoto, 2020. "What Makes a Good Cargo Bike Route? Perspectives from Users and Planners," American Journal of Economics and Sociology, Wiley Blackwell, vol. 79(3), pages 941-965, May.
    10. Jinhyun Hong & David McArthur & Varun Raturi, 2020. "Did Safe Cycling Infrastructure Still Matter During a COVID-19 Lockdown?," Sustainability, MDPI, vol. 12(20), pages 1-15, October.
    11. Broach, Joseph & Dill, Jennifer & Gliebe, John, 2012. "Where do cyclists ride? A route choice model developed with revealed preference GPS data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1730-1740.
    12. Stefan Flügel & Nina Hulleberg & Aslak Fyhri & Christian Weber & Gretar Ævarsson, 2019. "Empirical speed models for cycling in the Oslo road network," Transportation, Springer, vol. 46(4), pages 1395-1419, August.
    13. Fitch, Dillon T. & Handy, Susan L., 2020. "Road environments and bicyclist route choice: The cases of Davis and San Francisco, CA," Journal of Transport Geography, Elsevier, vol. 85(C).
    14. Faghih Imani, Ahmadreza & Miller, Eric J. & Saxe, Shoshanna, 2019. "Cycle accessibility and level of traffic stress: A case study of Toronto," Journal of Transport Geography, Elsevier, vol. 80(C).
    15. Götschi, Thomas & Hintermann, Beat, 2013. "Valuation of public investment to support bicycling (FV-09)," Working papers 2013/02, Faculty of Business and Economics - University of Basel.
    16. Poudel, Niranjan & Singleton, Patrick A., 2022. "Preferences for roundabout attributes among US bicyclists: A discrete choice experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 316-329.
    17. Liu, Yanan & Yang, Dujuan & Timmermans, Harry J.P. & de Vries, Bauke, 2020. "Analysis of the impact of street-scale built environment design near metro stations on pedestrian and cyclist road segment choice: A stated choice experiment," Journal of Transport Geography, Elsevier, vol. 82(C).
    18. Tomás Rossetti & Verónica Saud & Ricardo Hurtubia, 2019. "I want to ride it where I like: measuring design preferences in cycling infrastructure," Transportation, Springer, vol. 46(3), pages 697-718, June.
    19. Wu, Xueying & Lu, Yi & Gong, Yongxi & Kang, Yuhao & Yang, Linchuan & Gou, Zhonghua, 2021. "The impacts of the built environment on bicycle-metro transfer trips: A new method to delineate metro catchment area based on people's actual cycling space," Journal of Transport Geography, Elsevier, vol. 97(C).
    20. Lei Kang & Jon Fricker, 2013. "Bicyclist commuters’ choice of on-street versus off-street route segments," Transportation, Springer, vol. 40(5), pages 887-902, September.
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