IDEAS home Printed from https://ideas.repec.org/p/nex/wpaper/trperceptionsenvironment.html
   My bibliography  Save this paper

Transit Riders' Perception of Waiting Time and Stops' Surrounding Environments

Author

Listed:
  • Marina Lagune-Reutler
  • Andrew Guthrie
  • Yingling Fan
  • David Levinson

    (TransportLab, School of Civil Engineering, University of Sydney)

Abstract

Reducing the burden of waiting in transit travel is critical to increase the attractiveness of public transportation and encourage people’s shift from automobile mode. Research shows that wait time perception is highly subjective and varies according to various factors such as mode, availability of schedule information or stops amenities. In addition, high-quality environments are known to reduce stress and to encourage walking and biking. Nevertheless, little research exists on the influence of the stops and stations surrounding environment on transit users’ wait time perception. This study aims to respond to this knowledge gap in order to optimize stop localization and micro urban design around stops. The study compares transit users’ actual and estimated wait time at 36 stops and stations offering a mix of environmental situations in the Twin Cities region. A regression analysis is used to explain the variation in riders’ waiting time estimates as a function of their objectively observed waiting times, as well as stop and station surrounding environment characteristics. The results show that, for waits longer than five minutes, the more the environment is polluted and exposed to traffic, the more transit users tend to overestimate their wait time and that, on the contrary, the more mature trees are present the shorter the wait time is perceived. The combination of the three variables indicates that after 5 minutes wait, the presence of trees achieves to compensate the effects of both air pollution and traffic awareness. Policy implications and further research needs are discussed.

Suggested Citation

  • Marina Lagune-Reutler & Andrew Guthrie & Yingling Fan & David Levinson, 2015. "Transit Riders' Perception of Waiting Time and Stops' Surrounding Environments," Working Papers 000142, University of Minnesota: Nexus Research Group.
  • Handle: RePEc:nex:wpaper:trperceptionsenvironment
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/11299/180075
    File Function: First version, 2015
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Estupiñán, Nicolás & Rodri­guez, Daniel A., 2008. "The relationship between urban form and station boardings for Bogotá's BRT," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(2), pages 296-306, February.
    2. Wardman, Mark, 0. "A review of British evidence on time and service quality valuations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(2-3), pages 107-128, April.
    3. Watkins, Kari Edison & Ferris, Brian & Borning, Alan & Rutherford, G. Scott & Layton, David, 2011. "Where Is My Bus? Impact of mobile real-time information on the perceived and actual wait time of transit riders," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(8), pages 839-848, October.
    4. Cervero, R. & Duncan, M., 2003. "Walking, Bicycling, and Urban Landscapes: Evidence from the San Francisco Bay Area," American Journal of Public Health, American Public Health Association, vol. 93(9), pages 1478-1483.
    5. Cervero, Robert & Duncan, Michael, 2003. "Walking, Bicycling, and Urban Landscapes: Evidence from the San Francisco Bay Area," University of California Transportation Center, Working Papers qt6zr1x95m, University of California Transportation Center.
    6. Wardman, Mark, 2004. "Public transport values of time," Transport Policy, Elsevier, vol. 11(4), pages 363-377, October.
    7. Xinyu Cao & Patricia Mokhtarian & Susan Handy, 2007. "Do changes in neighborhood characteristics lead to changes in travel behavior? A structural equations modeling approach," Transportation, Springer, vol. 34(5), pages 535-556, September.
    8. Nie, Winter, 2000. "Waiting: integrating social and psychological perspectives in operations management," Omega, Elsevier, vol. 28(6), pages 611-629, December.
    9. Hornik, Jacob, 1992. "Time estimation and orientation mediated by transient mood," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 21(3), pages 209-227.
    10. Dziekan, Katrin & Kottenhoff, Karl, 2007. "Dynamic at-stop real-time information displays for public transport: effects on customers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(6), pages 489-501, July.
    Full references (including those not matched with items on IDEAS)

    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. 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. Allard, Ryan F. & Moura, Filipe, 2018. "Effect of transport transfer quality on intercity passenger mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 109(C), pages 89-107.
    3. 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.
    4. Yingling Fan & Andrew Guthrie & David Levinson, 2015. "Perception of Waiting Time at Transit Stops and Stations," Working Papers 000127, University of Minnesota: Nexus Research Group.
    5. Mokhtarian, Patricia L. & Cao, Xinyu, 2008. "Examining the impacts of residential self-selection on travel behavior: A focus on methodologies," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 204-228, March.
    6. Olaru, Doina & Smith, Brett & Taplin, John H.E., 2011. "Residential location and transit-oriented development in a new rail corridor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(3), pages 219-237, March.
    7. Zhao, Chunli & Nielsen, Thomas Alexander Sick & Olafsson, Anton Stahl & Carstensen, Trine Agervig & Meng, Xiaoying, 2018. "Urban form, demographic and socio-economic correlates of walking, cycling, and e-biking: Evidence from eight neighborhoods in Beijing," Transport Policy, Elsevier, vol. 64(C), pages 102-112.
    8. Li, Jingjing & Auchincloss, Amy H. & Yang, Yong & Rodriguez, Daniel A. & Sánchez, Brisa N., 2020. "Neighborhood characteristics and transport walking: Exploring multiple pathways of influence using a structural equation modeling approach," Journal of Transport Geography, Elsevier, vol. 85(C).
    9. Lee, Yongsung & Guhathakurta, Subhrajit, 2018. "An analysis of the effects of suburban densification on vehicle use for shopping: Do existing residents respond to land-use changes in the same way as recent movers?," Journal of Transport Geography, Elsevier, vol. 68(C), pages 193-204.
    10. Amir Hajrasouliha & Li Yin, 2015. "The impact of street network connectivity on pedestrian volume," Urban Studies, Urban Studies Journal Limited, vol. 52(13), pages 2483-2497, October.
    11. F. Atiyya Shaw & Aliaksandr Malokin & Patricia L. Mokhtarian & Giovanni Circella, 2021. "Who doesn’t mind waiting? Examining the relationships between waiting attitudes and person- and travel-related attributes," Transportation, Springer, vol. 48(1), pages 395-429, February.
    12. Jina Mahmoudi & Lei Zhang, 2020. "Impact of the Built Environment Measured at Multiple Levels on Nonmotorized Travel Behavior: An Ecological Approach to a Florida Case Study," Sustainability, MDPI, vol. 12(21), pages 1-39, October.
    13. Cao, Xinyu (Jason) & Mokhtarian, Patricia L. & Handy, Susan L., 2009. "The relationship between the built environment and nonwork travel: A case study of Northern California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(5), pages 548-559, June.
    14. Emine Coruh & Faruk Urak & Abdulbaki Bilgic & Steven T. Yen, 2022. "The role of household demographic factors in shaping transportation spending in Turkey," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3485-3517, March.
    15. Zhu, Pengyu & Zhao, Songnian & Jiang, Yanpeng, 2022. "Residential segregation, built environment and commuting outcomes: Experience from contemporary China," Transport Policy, Elsevier, vol. 116(C), pages 269-277.
    16. Devin McNally & Rachel Tillinghast & Hiroyuki Iseki, 2022. "Bicycle Accessibility GIS Analysis for Bike Master Planning with a Consideration of Level of Traffic Stress (LTS) and Energy Consumption," Sustainability, MDPI, vol. 15(1), pages 1-13, December.
    17. Regine Gerike & Caroline Koszowski & Bettina Schröter & Ralph Buehler & Paul Schepers & Johannes Weber & Rico Wittwer & Peter Jones, 2021. "Built Environment Determinants of Pedestrian Activities and Their Consideration in Urban Street Design," Sustainability, MDPI, vol. 13(16), pages 1-21, August.
    18. Peters, Luke & MacKenzie, Don, 2019. "The death and rebirth of bikesharing in Seattle: Implications for policy and system design," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 208-226.
    19. Irina Tumini & Paula Villagra-Islas & Geraldine Herrmann-Lunecke, 2017. "Evaluating reconstruction effects on urban resilience: a comparison between two Chilean tsunami-prone cities," 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. 85(3), pages 1363-1392, February.
    20. Chandra, Shailesh & Jimenez, Jose & Radhakrishnan, Ramalingam, 2017. "Accessibility evaluations for nighttime walking and bicycling for low-income shift workers," Journal of Transport Geography, Elsevier, vol. 64(C), pages 97-108.

    More about this item

    Keywords

    Public transportation; transit; rail; bus; stop; station; waiting time; time perception; environment; air pollution; traffic; tree; planning; urban design.;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:nex:wpaper:trperceptionsenvironment. 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: David Levinson (email available below). General contact details of provider: https://edirc.repec.org/data/nexmnus.html .

    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.