IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v114y2018ipap24-37.html
   My bibliography  Save this article

Public transport travel time perception: Effects of socioeconomic characteristics, trip characteristics and facility usage

Author

Listed:
  • Meng, Meng
  • Rau, Andreas
  • Mahardhika, Hita

Abstract

Perceived travel time in public transport trip directly affects passengers’ satisfaction and therefore is an essential consideration when planning and operating the public transport system. However, beyond the prevalent analysis on the waiting time perception, there are few articles that have studied the travel time perception along the entire multimodal trip. In this context, this paper presents an empirical investigation of actual and perceived travel time at each stage in a bus-rail transport trip, where first mile, in-vehicle stage, transfer stage and last mile are considered. Data on actual and perceived travel time, socioeconomic characteristics, trip characteristics and facility usage are collected by accompanied survey undertaken from passengers’ originations to destinations. The results from a series of paired T-tests show that passenger do perceive travel time to be greater than the actual amount at each stage. Three linear regression models are developed for estimation of perceived walking, waiting and in-vehicle time. Results indicate that socioeconomic characteristics, trip characteristics and facility usage seem to have an impact on passengers’ travel time perception, while the travel time spent on the previous stage does not affect the perception much.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:transa:v:114:y:2018:i:pa:p:24-37
    DOI: 10.1016/j.tra.2018.01.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856417302562
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tra.2018.01.015?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. Cascetta, Ennio & Cartenì, Armando, 2014. "The hedonic value of railways terminals. A quantitative analysis of the impact of stations quality on travellers behaviour," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 41-52.
    2. 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.
    3. Vande Walle, Stefaan & Steenberghen, Therese, 2006. "Space and time related determinants of public transport use in trip chains," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(2), pages 151-162, February.
    4. Beirão, Gabriela & Sarsfield Cabral, J.A., 2007. "Understanding attitudes towards public transport and private car: A qualitative study," Transport Policy, Elsevier, vol. 14(6), pages 478-489, November.
    5. Krygsman, Stephan & Dijst, Martin & Arentze, Theo, 2004. "Multimodal public transport: an analysis of travel time elements and the interconnectivity ratio," Transport Policy, Elsevier, vol. 11(3), pages 265-275, July.
    6. Barabino, Benedetto & Salis, Sara & Useli, Bruno, 2014. "Fare evasion in proof-of-payment transit systems: Deriving the optimum inspection level," Transportation Research Part B: Methodological, Elsevier, vol. 70(C), pages 1-17.
    7. Delbosc, Alexa & Currie, Graham, 2016. "Cluster analysis of fare evasion behaviours in Melbourne, Australia," Transport Policy, Elsevier, vol. 50(C), pages 29-36.
    8. Debrezion, Ghebreegziabiher & Pels, Eric & Rietveld, Piet, 2009. "Modelling the joint access mode and railway station choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(1), pages 270-283, January.
    9. 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.
    10. Nesheli, Mahmood Mahmoodi & Ceder, Avishai (Avi) & Estines, Simon, 2016. "Public transport user's perception and decision assessment using tactic-based guidelines," Transport Policy, Elsevier, vol. 49(C), pages 125-136.
    11. Barabino, Benedetto & Salis, Sara & Useli, Bruno, 2015. "What are the determinants in making people free riders in proof-of-payment transit systems? Evidence from Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 184-196.
    12. Yung-Hsiang Cheng & Yu-Chun Tsai, 2014. "Train delay and perceived-wait time: passengers' perspective," Transport Reviews, Taylor & Francis Journals, vol. 34(6), pages 710-729, November.
    13. Ehab I. Diab & Madhav G. Badami & Ahmed M. El-Geneidy, 2015. "Bus Transit Service Reliability and Improvement Strategies: Integrating the Perspectives of Passengers and Transit Agencies in North America," Transport Reviews, Taylor & Francis Journals, vol. 35(3), pages 292-328, May.
    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. Naveen, B.R. & Gurtoo, Anjula, 2022. "Public transport strategy and epidemic prevention framework in the Context of Covid-19," Transport Policy, Elsevier, vol. 116(C), pages 165-174.
    2. 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.
    3. Luca D’Alonzo & Maria Chiara Leva & Edgardo Bucciarelli, 2021. "Comparing Passenger Satisfaction, Employees’ Perspective and Performance on Quality and Safety Indicators: A Field Study," Sustainability, MDPI, vol. 13(10), pages 1-25, May.
    4. Lachapelle, Ugo & Boisjoly, Geneviève, 2023. "Breaking down public transit travel time for more accurate transport equity policies: A trip component approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    5. Chakrabarti, Sandip, 2022. "Passively wait for gridlock, or proactively invest in service? Strategies to promote car-to-transit switches among aspirational urbanites in rapidly developing contexts," Transport Policy, Elsevier, vol. 115(C), pages 251-261.
    6. Ties Brands & Malvika Dixit & Edgard Zúñiga & Niels Oort, 2022. "Perceived and actual travel times in a multi-modal urban public transport network: comparing survey and AVL data," Public Transport, Springer, vol. 14(1), pages 85-103, March.
    7. Nocera, Silvio & Fabio, Alberto & Cavallaro, Federico, 2020. "The adoption of grid transit networks in non-metropolitan contexts," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 256-272.
    8. Wang, Zi-Jia & Jia, Hui-Hui & Dai, Fangzhou & Diao, Mi, 2022. "Understanding the ground access and airport choice behavior of air passengers using transit payment transaction data," Transport Policy, Elsevier, vol. 127(C), pages 179-190.
    9. Mengying Cui & David Levinson, 2021. "Shortest paths, travel costs, and traffic," Environment and Planning B, , vol. 48(4), pages 828-844, May.
    10. Bagdatli, Muhammed Emin Cihangir & Ipek, Fatima, 2022. "Transport mode preferences of university students in post-COVID-19 pandemic," Transport Policy, Elsevier, vol. 118(C), pages 20-32.
    11. Wenhui Zhang & Hao Chen & Hongzhuo Zhou & Changhang Wu & Ziwen Song, 2023. "Exploring the Characteristics of Green Travel and the Satisfaction It Provides in Cities Located in Cold Regions of China: An Empirical Study in Heilongjiang Province," Sustainability, MDPI, vol. 15(8), pages 1-15, April.
    12. Das, Sanhita & Boruah, Alice & Banerjee, Arunabha & Raoniar, Rahul & Nama, Suresh & Maurya, Akhilesh Kumar, 2021. "Impact of COVID-19: A radical modal shift from public to private transport mode," Transport Policy, Elsevier, vol. 109(C), pages 1-11.
    13. Luo, Shuli & He, Sylvia Y., 2021. "Understanding gender difference in perceptions toward transit services across space and time: A social media mining approach," Transport Policy, Elsevier, vol. 111(C), pages 63-73.
    14. Elisa Conticelli & Gianluca Gobbi & Paula Isabella Saavedra Rosas & Simona Tondelli, 2021. "Assessing the Performance of Modal Interchange for Ensuring Seamless and Sustainable Mobility in European Cities," Sustainability, MDPI, vol. 13(2), pages 1-24, January.

    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. Krembsler, Jonas & Spiegelberg, Sandra & Hasenfelder, Richard & Kämpf, Nicki Lena & Winter, Thomas & Winter, Nicola & Knappe, Robert, 2024. "Fare revenue forecast in public transport: A comparative case study," Research in Transportation Economics, Elsevier, vol. 105(C).
    2. Benedetto Barabino & Sara Salis, 2019. "Moving Towards a More Accurate Level of Inspection Against Fare Evasion in Proof-of-Payment Transit Systems," Networks and Spatial Economics, Springer, vol. 19(4), pages 1319-1346, December.
    3. Munizaga, Marcela A. & Gschwender, Antonio & Gallegos, Nestor, 2020. "Fare evasion correction for smartcard-based origin-destination matrices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 307-322.
    4. 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.
    5. Ramos, Raúl & Silva, Hugo E., 2023. "Fare evasion in public transport: How does it affect the optimal design and pricing?," Transportation Research Part B: Methodological, Elsevier, vol. 176(C).
    6. Guzman, Luis A. & Arellana, Julian & Camargo, José Pablo, 2021. "A hybrid discrete choice model to understand the effect of public policy on fare evasion discouragement in Bogotá's Bus Rapid Transit," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 140-153.
    7. Porath, Keiko & Galilea, Patricia, 2020. "Temporal analysis of fare evasion in Transantiago: A socio-political view," Research in Transportation Economics, Elsevier, vol. 83(C).
    8. Felipe González & Carolina Busco & Katheryn Codocedo, 2019. "Fare Evasion in Public Transport: Grouping Transantiago Users’ Behavior," Sustainability, MDPI, vol. 11(23), pages 1-17, November.
    9. Allen, Jaime & Muñoz, Juan Carlos & Ortúzar, Juan de Dios, 2019. "On evasion behaviour in public transport: Dissatisfaction or contagion?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 626-651.
    10. Zgheib, Najib & Abou-Zeid, Maya & Kaysi, Isam, 2020. "Modeling demand for ridesourcing as feeder for high capacity mass transit systems with an application to the planned Beirut BRT," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 70-91.
    11. Weliwitiya, Hesara & Rose, Geoffrey & Johnson, Marilyn, 2019. "Bicycle train intermodality: Effects of demography, station characteristics and the built environment," Journal of Transport Geography, Elsevier, vol. 74(C), pages 395-404.
    12. Monika Bąk & Przemyslaw Borkowski, 2019. "Young Transport Users’ Perception of ICT Solutions Change," Social Sciences, MDPI, vol. 8(8), pages 1-17, July.
    13. Nourinejad, Mehdi & Gandomi, Amir & Roorda, Matthew J., 2020. "Illegal parking and optimal enforcement policies with search friction," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    14. Ceder, Avishai & Chowdhury, Subeh & Taghipouran, Nima & Olsen, Jared, 2013. "Modelling public-transport users’ behaviour at connection point," Transport Policy, Elsevier, vol. 27(C), pages 112-122.
    15. Schakenbos, Rik & Paix, Lissy La & Nijenstein, Sandra & Geurs, Karst T., 2016. "Valuation of a transfer in a multimodal public transport trip," Transport Policy, Elsevier, vol. 46(C), pages 72-81.
    16. Åse Jevinger & Jan A. Persson, 2019. "Exploring the potential of using real-time traveler data in public transport disturbance management," Public Transport, Springer, vol. 11(2), pages 413-441, August.
    17. 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.
    18. 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.
    19. Saiyad, Gulnazbanu & Srivastava, Minal & Rathwa, Dipak, 2022. "Exploring determinants of feeder mode choice behavior using Artificial Neural Network: Evidences from Delhi metro," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 598(C).
    20. David Levinson & Hao Wu, 2020. "Towards a general theory of access," Working Papers 2022-01, University of Minnesota: Nexus Research Group.

    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:114:y:2018:i:pa:p:24-37. 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.