IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v122y2019icp99-111.html
   My bibliography  Save this article

Identifying commonly used and potentially unsafe transit transfers with crowdsourcing

Author

Listed:
  • Traut, Elizabeth J.
  • Steinfeld, Aaron

Abstract

Public transit is an important contributor to sustainable transportation as well as a public service that makes necessary travel possible for many. Poor transit transfers can lead to both a real and perceived reduction in convenience and safety, especially for people with disabilities. Poor transfers can expose riders to inclement weather and crime, and they can reduce transit ridership by motivating riders who have the option of driving or using paratransit to elect a more expensive and inefficient travel mode. Unfortunately, knowledge about inconvenient, missed, and unsafe transit transfers is sparse and incomplete.

Suggested Citation

  • Traut, Elizabeth J. & Steinfeld, Aaron, 2019. "Identifying commonly used and potentially unsafe transit transfers with crowdsourcing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 99-111.
    • Handle: RePEc:eee:transa:v:122:y:2019:i:c:p:99-111
    DOI: 10.1016/j.tra.2019.02.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856417314040
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2019.02.005?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. Fan, Yingling & Guthrie, Andrew & Levinson, David, 2016. "Waiting time perceptions at transit stops and stations: Effects of basic amenities, gender, and security," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 251-264.
    2. Shafahi, Yousef & Khani, Alireza, 2010. "A practical model for transfer optimization in a transit network: Model formulations and solutions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(6), pages 377-389, July.
    3. Daganzo, Carlos & Anderson, Paul, 2016. "Coordinating Transit Transfers in Real Time," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt25h4r974, Institute of Transportation Studies, UC Berkeley.
    4. Gschwender, Antonio & Jara-Díaz, Sergio & Bravo, Claudia, 2016. "Feeder-trunk or direct lines? Economies of density, transfer costs and transit structure in an urban context," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 209-222.
    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. Chinnawat Hoonsiri & Vasin Kiattikomol & Siriluk Chiarakorn, 2020. "Energy Saving and CO 2 Reduction Potential from Partial Bus Routes Reduction Model in Bangkok Urban Fringe," Energies, MDPI, vol. 13(22), pages 1-18, November.
    2. Antonello Cammarano & Vincenzo Varriale & Francesca Michelino & Mauro Caputo, 2022. "Open and Crowd-Based Platforms: Impact on Organizational and Market Performance," Sustainability, MDPI, vol. 14(4), pages 1-26, February.

    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. Umberto Petruccelli & Antonello Racina, 2021. "Feeder-trunk and direct-link schemes for public transit: a model to evaluate the produced accessibility," Public Transport, Springer, vol. 13(2), pages 301-323, June.
    2. Liu, Tao & Ceder, Avishai (Avi), 2018. "Integrated public transport timetable synchronization and vehicle scheduling with demand assignment: A bi-objective bi-level model using deficit function approach," Transportation Research Part B: Methodological, Elsevier, vol. 117(PB), pages 935-955.
    3. Zhou, Yuyang & Wang, Peiyu & Zheng, Shuyan & Zhao, Minhe & Lam, William H.K. & Chen, Anthony & Sze, N.N. & Chen, Yanyan, 2024. "Modeling dynamic travel mode choices using cumulative prospect theory," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    4. Wu, Weitiao & Liu, Ronghui & Jin, Wenzhou & Ma, Changxi, 2019. "Stochastic bus schedule coordination considering demand assignment and rerouting of passengers," Transportation Research Part B: Methodological, Elsevier, vol. 121(C), pages 275-303.
    5. Mahmoud Owais & Abdou S. Ahmed & Ghada S. Moussa & Ahmed A. Khalil, 2020. "An Optimal Metro Design for Transit Networks in Existing Square Cities Based on Non-Demand Criterion," Sustainability, MDPI, vol. 12(22), pages 1-28, November.
    6. Ringsberg, Henrik, 2023. "Sustainable FLM transport based on IPF transport by ferry in coastal rural areas: A case from Sweden," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    7. Ji, Yanjie & Gao, Liangpeng & Chen, Dandan & Ma, Xinwei & Zhang, Ruochen, 2018. "How does a static measure influence passengers’ boarding behaviors and bus dwell time? Simulated evidence from Nanjing bus stations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 13-25.
    8. Gkiotsalitis, K. & Cats, O. & Liu, T. & Bult, J.M., 2023. "An exact optimization method for coordinating the arrival times of urban rail lines at a common corridor," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 178(C).
    9. 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.
    10. Sihui Long & Lingyun Meng & Jianrui Miao & Xin Hong & Francesco Corman, 2020. "Synchronizing Last Trains of Urban Rail Transit System to Better Serve Passengers from Late Night Trains of High-Speed Railway Lines," Networks and Spatial Economics, Springer, vol. 20(2), pages 599-633, June.
    11. Ittamalla, Rajesh & Srinivas Kumar, Daruri Venkata, 2021. "Determinants of holistic passenger experience in public transportation: Scale development and validation," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    12. Nie, Wei & Li, Hao & Xiao, Na & Yang, Hao & Jiang, Zhishu & Buhigiro, Nsabimana, 2021. "Modeling and solving the last-shift period train scheduling problem in subway networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 569(C).
    13. Guo, Xin & Wu, Jianjun & Sun, Huijun & Yang, Xin & Jin, Jian Gang & Wang, David Z.W., 2020. "Scheduling synchronization in urban rail transit networks: Trade-offs between transfer passenger and last train operation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 463-490.
    14. Börjesson, Maria & Eliasson, Jonas & Rubensson, Isak, 2020. "Distributional effects of public transport subsidies," Journal of Transport Geography, Elsevier, vol. 84(C).
    15. Laila Ait Bihi Ouali & Daniel J. Graham & Alexander Barron & Mark Trompet, 2020. "Gender differences in the perception of safety in public transport," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 737-769, June.
    16. Mo, Pengli & D’Ariano, Andrea & Yang, Lixing & Veelenturf, Lucas P. & Gao, Ziyou, 2021. "An exact method for the integrated optimization of subway lines operation strategies with asymmetric passenger demand and operating costs," Transportation Research Part B: Methodological, Elsevier, vol. 149(C), pages 283-321.
    17. Cortés, Cristián E. & Donoso, Pedro & Gutiérrez, Leonel & Herl, Daniel & Muñoz, Diego, 2023. "A recursive stochastic transit equilibrium model estimated using passive data from Santiago, Chile," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    18. Gkiotsalitis, K. & Alesiani, F., 2019. "Robust timetable optimization for bus lines subject to resource and regulatory constraints," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 30-51.
    19. Meng, Meng & Rau, Andreas & Mahardhika, Hita, 2018. "Public transport travel time perception: Effects of socioeconomic characteristics, trip characteristics and facility usage," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 24-37.
    20. Khatun, Farzana & Saphores, Jean-Daniel, 2023. "Covid-19, intentions to change modes, and how they materialized - Results from a random survey of Californians," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(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:eee:transa:v:122:y:2019:i:c:p:99-111. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    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.