IDEAS home Printed from https://ideas.repec.org/a/kap/transp/v46y2019i3d10.1007_s11116-017-9787-x.html
   My bibliography  Save this article

New potential for multimodal connection: exploring the relationship between taxi and transit in New York City (NYC)

Author

Listed:
  • Fangru Wang

    (Georgia Institute of Technology)

  • Catherine L. Ross

    (Georgia Institute of Technology)

Abstract

Taxi trips have been somewhat neglected in transportation mobility and multimodal connection studies. The socio-demographic characteristics of taxi riders are often not fully revealed and the relationship between the taxi and fixed-route public transportation has not been sufficiently quantified. This research operationalizes the multifaceted relationship between the taxi and transit in an innovative way. We categorize taxi trips into three types: transit-competing, transit-complementing, and transit-extending trips, by examining the spatial relationship of taxi trips’ origins/destinations and the locations of transit stations using a New York global positioning system taxi trip dataset. The distinct characteristics of the three types of taxi trips reflect the different market segmentations that taxis serve and the competing, complementary, and supportive nature of the relationship between the taxi and transit. We also explore the demographic characteristics of taxi riders and the result reveals the important role of taxis in providing mobility options to the economically or physically challenged population. Among our many findings are that transit-extending taxi trips have significantly shorter average trip lengths and larger proportions of people paying with cash than other trip types. These and other results point to important policy implications for improving the multimodal connection between the taxi and transit.

Suggested Citation

  • Fangru Wang & Catherine L. Ross, 2019. "New potential for multimodal connection: exploring the relationship between taxi and transit in New York City (NYC)," Transportation, Springer, vol. 46(3), pages 1051-1072, June.
    • Handle: RePEc:kap:transp:v:46:y:2019:i:3:d:10.1007_s11116-017-9787-x
    DOI: 10.1007/s11116-017-9787-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11116-017-9787-x
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11116-017-9787-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Susan Shaheen & Nelson Chan & Helen Micheaux, 2015. "One-way carsharing’s evolution and operator perspectives from the Americas," Transportation, Springer, vol. 42(3), pages 519-536, May.
    2. Shaheen, Susan PhD & Chan, Nelson & Micheaux, Helen, 2015. "One-Way Carsharing's Evolution and Operator Perspectives from the Americas," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt83s1z8j4, Institute of Transportation Studies, UC Berkeley.
    3. Ipingbemi, Olusiyi, 2010. "Travel characteristics and mobility constraints of the elderly in Ibadan, Nigeria," Journal of Transport Geography, Elsevier, vol. 18(2), pages 285-291.
    4. Cervero, Robert, 1994. "Transit-based housing in California: evidence on ridership impacts," Transport Policy, Elsevier, vol. 1(3), pages 174-183, June.
    5. Cynthia Jacques & Kevin Manaugh & Ahmed El-Geneidy, 2013. "Rescuing the captive [mode] user: an alternative approach to transport market segmentation," Transportation, Springer, vol. 40(3), pages 625-645, May.
    6. Schmöcker, Jan-Dirk & Quddus, Mohammed A. & Noland, Robert B. & Bell, Michael G.H., 2008. "Mode choice of older and disabled people: a case study of shopping trips in London," Journal of Transport Geography, Elsevier, vol. 16(4), pages 257-267.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Zhao, Zhiyuan & Yao, Wei & Wu, Sheng & Yang, Xiping & Wu, Qunyong & Fang, Zhixiang, 2023. "Identifying the collaborative scheduling areas between ride-hailing and traditional taxi services based on vehicle trajectory data," Journal of Transport Geography, Elsevier, vol. 107(C).
    2. Rezwana Rafiq & Michael G. McNally, 2023. "An exploratory analysis of alternative travel behaviors of ride-hailing users," Transportation, Springer, vol. 50(2), pages 571-605, April.
    3. Rui Yao & Kenan Zhang, 2023. "How would mobility-as-a-service (MaaS) platform survive as an intermediary? From the viewpoint of stability in many-to-many matching," Papers 2310.08285, arXiv.org.
    4. Yilei Pan & Mengying Chang & Shumin Feng & Dongsheng Hao, 2023. "Modeling and Complex Characteristics of Urban Subway Co-Opetition Network: A Case Study of Wuhan," Sustainability, MDPI, vol. 15(1), pages 1-17, January.
    5. 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.
    6. Daniel Oviedo & Isabel Granada & Daniel Perez-Jaramillo, 2020. "Ridesourcing and Travel Demand: Potential Effects of Transportation Network Companies in Bogotá," Sustainability, MDPI, vol. 12(5), pages 1-16, February.
    7. Yao, Jiwei & You, Fengqi, 2020. "Simulation-based optimization framework for economic operations of autonomous electric taxicab considering battery aging," Applied Energy, Elsevier, vol. 279(C).
    8. Liao, Yuan, 2021. "Ride-sourcing compared to its public-transit alternative using big trip data," Journal of Transport Geography, Elsevier, vol. 95(C).
    9. 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.
    10. Zhai, Wei & Bai, Xueyin & Peng, Zhong-ren & Gu, Chaolin, 2019. "A bottom-up transportation network efficiency measuring approach: A case study of taxi efficiency in New York City," Journal of Transport Geography, Elsevier, vol. 80(C).
    11. Lambros Mitropoulos & Annie Kortsari & Emy Apostolopoulou & Georgia Ayfantopoulou & Alexandros Deloukas, 2023. "Multimodal Traveling with Rail and Ride-Sharing: Lessons Learned during Planning and Demonstrating a Pilot Study," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
    12. Jinjun Tang & Fan Gao & Fang Liu & Wenhui Zhang & Yong Qi, 2019. "Understanding Spatio-Temporal Characteristics of Urban Travel Demand Based on the Combination of GWR and GLM," Sustainability, MDPI, vol. 11(19), pages 1-19, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Boyacı, Burak & Zografos, Konstantinos G., 2019. "Investigating the effect of temporal and spatial flexibility on the performance of one-way electric carsharing systems," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 244-272.
    2. Golalikhani, Masoud & Oliveira, Beatriz Brito & Carravilla, Maria Antónia & Oliveira, José Fernando & Antunes, António Pais, 2021. "Carsharing: A review of academic literature and business practices toward an integrated decision-support framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    3. Terrien, Clara & Maniak, Rémi & Chen, Bo & Shaheen, Susan, 2016. "Good Practices for Advancing Urban Mobility Innovation: A Case Study of One-Way Carsharing," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt53z3h2gt, Institute of Transportation Studies, UC Berkeley.
    4. Circella, Giovanni & Alemi, Farzad & Tiedeman, Kate & Handy, Susan & Mokhtarian, Patricia, 2018. "The Adoption of Shared Mobility in California and Its Relationship with Other Components of Travel Behavior," Institute of Transportation Studies, Working Paper Series qt1kq5d07p, Institute of Transportation Studies, UC Davis.
    5. Weibo Li & Maria Kamargianni, 2020. "Steering short-term demand for car-sharing: a mode choice and policy impact analysis by trip distance," Transportation, Springer, vol. 47(5), pages 2233-2265, October.
    6. Stefan Illgen & Michael Höck, 2020. "Establishing car sharing services in rural areas: a simulation-based fleet operations analysis," Transportation, Springer, vol. 47(2), pages 811-826, April.
    7. Wong, R.C.P. & Szeto, W.Y. & Yang, Linchuan & Li, Y.C. & Wong, S.C., 2018. "Public transport policy measures for improving elderly mobility," Transport Policy, Elsevier, vol. 63(C), pages 73-79.
    8. Xiaowei Chen & Hongyu Zheng & Ze Wang & Xiqun Chen, 2021. "Exploring impacts of on-demand ridesplitting on mobility via real-world ridesourcing data and questionnaires," Transportation, Springer, vol. 48(4), pages 1541-1561, August.
    9. Sweet, Matthias N. & Scott, Darren M., 2021. "Shared mobility adoption from 2016 to 2018 in the Greater Toronto and Hamilton Area: Demographic or geographic diffusion?," Journal of Transport Geography, Elsevier, vol. 96(C).
    10. Tyndall, Justin, 2019. "Free-floating carsharing and extemporaneous public transit substitution," Research in Transportation Economics, Elsevier, vol. 74(C), pages 21-27.
    11. Maria Juschten & Timo Ohnmacht & Vu Thi Thao & Regine Gerike & Reinhard Hössinger, 2019. "Carsharing in Switzerland: identifying new markets by predicting membership based on data on supply and demand," Transportation, Springer, vol. 46(4), pages 1171-1194, August.
    12. Zhang, Mengzhu & Zhao, Pengjun & Qiao, Si, 2020. "Smartness-induced transport inequality: Privacy concern, lacking knowledge of smartphone use and unequal access to transport information," Transport Policy, Elsevier, vol. 99(C), pages 175-185.
    13. Pan, Alexandra Q. & Martin, Elliot W. & Shaheen, Susan A., 2022. "Is access enough? A spatial and demographic analysis of one-way carsharing policies and practice," Transport Policy, Elsevier, vol. 127(C), pages 103-115.
    14. Zhang, Yu & Li, Leiming, 2022. "Research on travelers’ transportation mode choice between carsharing and private cars based on the logit dynamic evolutionary game model," Economics of Transportation, Elsevier, vol. 29(C).
    15. Reza Vosooghi & Joseph Kamel & Jakob Puchinger & Vincent Leblond & Marija Jankovic, 2019. "Robo-Taxi service fleet sizing: assessing the impact of user trust and willingness-to-use," Transportation, Springer, vol. 46(6), pages 1997-2015, December.
    16. Chang, Ximing & Wu, Jianjun & Correia, Gonçalo Homem de Almeida & Sun, Huijun & Feng, Ziyan, 2022. "A cooperative strategy for optimizing vehicle relocations and staff movements in cities where several carsharing companies operate simultaneously," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    17. Huang, Kai & An, Kun & Correia, Gonçalo Homem de Almeida, 2020. "Planning station capacity and fleet size of one-way electric carsharing systems with continuous state of charge functions," European Journal of Operational Research, Elsevier, vol. 287(3), pages 1075-1091.
    18. Teng Yu & Yajun Zhang & Ai Ping Teoh & Anchao Wang & Chengliang Wang, 2023. "Factors Influencing University Students’ Behavioral Intention to Use Electric Car-Sharing Services in Guangzhou, China," SAGE Open, , vol. 13(4), pages 21582440231, November.
    19. Groth, Sören, 2019. "Multimodal divide: Reproduction of transport poverty in smart mobility trends," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 56-71.
    20. Jin, Fanglei & Yao, Enjian & An, Kun, 2020. "Analysis of the potential demand for battery electric vehicle sharing: Mode share and spatiotemporal distribution," Journal of Transport Geography, Elsevier, vol. 82(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:transp:v:46:y:2019:i:3:d:10.1007_s11116-017-9787-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.