IDEAS home Printed from https://ideas.repec.org/r/eee/trapol/v15y2008i3p186-195.html
   My bibliography  Save this item

Transit market research using structural equation modeling and attitudinal market segmentation

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Najaf, Pooya & Thill, Jean-Claude & Zhang, Wenjia & Fields, Milton Greg, 2018. "City-level urban form and traffic safety: A structural equation modeling analysis of direct and indirect effects," Journal of Transport Geography, Elsevier, vol. 69(C), pages 257-270.
  2. Wen, Chieh-Hua & Wang, Wei-Chung & Fu, Chiang, 2012. "Latent class nested logit model for analyzing high-speed rail access mode choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 545-554.
  3. Fu, Xuemei & Juan, Zhicai, 2017. "Exploring the psychosocial factors associated with public transportation usage and examining the “gendered” difference," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 70-82.
  4. Bert van Wee, 2009. "Self‐Selection: A Key to a Better Understanding of Location Choices, Travel Behaviour and Transport Externalities?," Transport Reviews, Taylor & Francis Journals, vol. 29(3), pages 279-292, January.
  5. Kamargianni, Maria & Dubey, Subodh & Polydoropoulou, Amalia & Bhat, Chandra, 2015. "Investigating the subjective and objective factors influencing teenagers’ school travel mode choice – An integrated choice and latent variable model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 473-488.
  6. Nkurunziza, Alphonse & Zuidgeest, Mark & Brussel, Mark & Van Maarseveen, Martin, 2012. "Examining the potential for modal change: Motivators and barriers for bicycle commuting in Dar-es-Salaam," Transport Policy, Elsevier, vol. 24(C), pages 249-259.
  7. Rafiq, Rezwana & McNally, Michael G., 2021. "Heterogeneity in Activity-travel Patterns of Public Transit Users: An Application of Latent Class Analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 1-18.
  8. Ali, Fazilatulaili & Dissanayake, Dilum & Bell, Margaret & Farrow, Malcolm, 2018. "Investigating car users' attitudes to climate change using multiple correspondence analysis," Journal of Transport Geography, Elsevier, vol. 72(C), pages 237-247.
  9. Sabina De Rosis & Ilaria Corazza & Francesca Pennucci, 2020. "Physical Activity in the Daily Life of Adolescents: Factors Affecting Healthy Choices from a Discrete Choice Experiment," IJERPH, MDPI, vol. 17(18), pages 1-23, September.
  10. Yang, Yang & Liu, Qing & Chang, Chia-Hsun, 2023. "China-Europe freight transportation under the first wave of COVID-19 pandemic and government restriction measures," Research in Transportation Economics, Elsevier, vol. 97(C).
  11. Miriam Pirra & Ruggero G. Pensa, 2019. "Comparing Transport Quality Perception among Different Travellers in European Cities through Co-Cluster Analysis," Sustainability, MDPI, vol. 11(24), pages 1-17, December.
  12. Şimşekoğlu, Özlem & Nordfjærn, Trond & Rundmo, Torbjørn, 2015. "The role of attitudes, transport priorities, and car use habit for travel mode use and intentions to use public transportation in an urban Norwegian public," Transport Policy, Elsevier, vol. 42(C), pages 113-120.
  13. Abenoza, Roberto F. & Ettema, Dick F. & Susilo, Yusak O., 2018. "Do accessibility, vulnerability, opportunity, and travel characteristics have uniform impacts on the traveler’s experience?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 38-51.
  14. Haiyan Zhu & Hongzhi Guan & Yan Han & Wanying Li, 2019. "A Study of Tourists’ Holiday Rush-Hour Avoidance Travel Behavior Considering Psychographic Segmentation," Sustainability, MDPI, vol. 11(13), pages 1-20, July.
  15. Morlotti, Chiara & Birolini, Sebastian & Malighetti, Paolo & Redondi, Renato, 2023. "A latent class approach to estimate air travelers’ propensity toward connecting itineraries," Research in Transportation Economics, Elsevier, vol. 99(C).
  16. Shelat, Sanmay & Huisman, Raymond & van Oort, Niels, 2018. "Analysing the trip and user characteristics of the combined bicycle and transit mode," Research in Transportation Economics, Elsevier, vol. 69(C), pages 68-76.
  17. Miguel Loyola & Yoram Shiftan & Haim Aviram & Hector Monterde-i-Bort, 2019. "Impact of Public Transport Context Situation and Culture on Mode Choice," Social Sciences, MDPI, vol. 8(2), pages 1-12, January.
  18. Bhat, Chandra R., 2015. "A new generalized heterogeneous data model (GHDM) to jointly model mixed types of dependent variables," Transportation Research Part B: Methodological, Elsevier, vol. 79(C), pages 50-77.
  19. Maya Abou-Zeid & Moshe Ben-Akiva, 2014. "Hybrid choice models," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 17, pages 383-412, Edward Elgar Publishing.
  20. Jiao Ye & Jun Chen & Hua Bai & Yifan Yue, 2018. "Analyzing Transfer Commuting Attitudes Using a Market Segmentation Approach," Sustainability, MDPI, vol. 10(7), pages 1-16, June.
  21. Alonso-González, María J. & Hoogendoorn-Lanser, Sascha & van Oort, Niels & Cats, Oded & Hoogendoorn, Serge, 2020. "Drivers and barriers in adopting Mobility as a Service (MaaS) – A latent class cluster analysis of attitudes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 378-401.
  22. Zong, Fang & Yu, Ping & Tang, Jinjun & Sun, Xiao, 2019. "Understanding parking decisions with structural equation modeling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 408-417.
  23. Grischkat, Sylvie & Hunecke, Marcel & Böhler, Susanne & Haustein, Sonja, 2014. "Potential for the reduction of greenhouse gas emissions through the use of mobility services," Transport Policy, Elsevier, vol. 35(C), pages 295-303.
  24. Sascha von Behren & Lisa Bönisch & Ulrich Niklas & Bastian Chlond, 2020. "Revealing Motives for Car Use in Modern Cities—A Case Study from Berlin and San Francisco," Sustainability, MDPI, vol. 12(13), pages 1-18, June.
  25. Jin, Xia & Hossan, Sakoat & Asgari, Hamidreza & Shams, Kollol, 2018. "Incorporating attitudinal aspects in roadway pricing analysis," Transport Policy, Elsevier, vol. 62(C), pages 38-47.
  26. Pronello, Cristina & Camusso, Cristian, 2011. "Travellers’ profiles definition using statistical multivariate analysis of attitudinal variables," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1294-1308.
  27. Steven D. Silver, 2018. "Multivariate methodology for discriminating market segments in urban commuting," Public Transport, Springer, vol. 10(1), pages 63-89, May.
  28. Diana, Marco & Pronello, Cristina, 2010. "Traveler segmentation strategy with nominal variables through correspondence analysis," Transport Policy, Elsevier, vol. 17(3), pages 183-190, May.
  29. Abenoza, Roberto F. & Cats, Oded & Susilo, Yusak O., 2017. "Travel satisfaction with public transport: Determinants, user classes, regional disparities and their evolution," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 64-84.
  30. Jieh-Haur Chen & Ha Thi Thu Nguyen & Chien-Cheng Chou & Jui-Pin Wang & Ting-Kwei Wang, 2021. "Transit-Oriented Development: Exploring Citizen Perceptions in a Booming City, Can Tho City, Vietnam," Sustainability, MDPI, vol. 13(3), pages 1-14, January.
  31. Luo, Shuli & He, Sylvia Y. & Grant-Muller, Susan & Song, Linqi, 2023. "Influential factors in customer satisfaction of transit services: Using crowdsourced data to capture the heterogeneity across individuals, space and time," Transport Policy, Elsevier, vol. 131(C), pages 173-183.
  32. Elias, Wafa & Shiftan, Yoram, 2012. "The influence of individual’s risk perception and attitudes on travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1241-1251.
  33. Li, Zhibin & Wang, Wei & Yang, Chen & Ragland, David R., 2013. "Bicycle commuting market analysis using attitudinal market segmentation approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 47(C), pages 56-68.
  34. Hickman, Robin & Ashiru, Olu & Banister, David, 2010. "Transport and climate change: Simulating the options for carbon reduction in London," Transport Policy, Elsevier, vol. 17(2), pages 110-125, March.
  35. Elias, Wafa & Albert, Gila & Shiftan, Yoram, 2013. "Travel behavior in the face of surface transportation terror threats," Transport Policy, Elsevier, vol. 28(C), pages 114-122.
  36. Yasasvi Popuri & Kimon Proussaloglou & Cemal Ayvalik & Frank Koppelman & Aimee Lee, 2011. "Importance of traveler attitudes in the choice of public transportation to work: findings from the Regional Transportation Authority Attitudinal Survey," Transportation, Springer, vol. 38(4), pages 643-661, July.
  37. Creemers, Lieve & Tormans, Hans & Bellemans, Tom & Janssens, Davy & Wets, Geert & Cools, Mario, 2015. "Knowledge of the concept Light Rail Transit: Exploring its relevance and identification of the determinants of various knowledge levels," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 31-43.
  38. Barr, Stewart & Lampkin, Sal & Dawkins, Laura & Williamson, Daniel, 2022. "‘I feel the weather and you just know’. Narrating the dynamics of commuter mobility choices," Journal of Transport Geography, Elsevier, vol. 103(C).
  39. Maria Kamargianni & Moshe Ben-Akiva & Amalia Polydoropoulou, 2014. "Incorporating social interaction into hybrid choice models," Transportation, Springer, vol. 41(6), pages 1263-1285, November.
  40. Jahun Koo & Sangho Choo, 2022. "Identification of Causal Relationship between Attitudinal Factors and Intention to Use Transportation Mode," Sustainability, MDPI, vol. 14(24), pages 1-15, December.
  41. Verbich, David & El-Geneidy, Ahmed, 2016. "The pursuit of satisfaction: Variation in satisfaction with bus transit service among riders with encumbrances and riders with disabilities using a large-scale survey from London, UK," Transport Policy, Elsevier, vol. 47(C), pages 64-71.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.