IDEAS home Printed from https://ideas.repec.org/a/spr/pubtra/v12y2020i2d10.1007_s12469-020-00228-y.html
   My bibliography  Save this article

Characterizing co-modality in urban transit systems from a passengers’ perspective

Author

Listed:
  • Naima Islam

    (The University of Alabama)

  • Md Abu Sufian Talukder

    (The University of Alabama)

  • Alex Hainen

    (The University of Alabama)

  • Travis Atkison

    (The University of Alabama)

Abstract

Co-modality is a concept based on a unified network system which will ensure the effective and sustainable utilization of all transportation modes. However, the application of co-modality as a measure of evaluating public transit system performance is recent and has been predominantly used in freight transport systems. This study proposes a novel approach by using co-modality as a key performance indicator to characterize public transit systems for passengers. This paper examines a new data set to evaluate transit systems from a user perspective. The data is gathered from an Application Programming Interface (API) which pulls from the real-time General Transit Feed Specification (GTFS). Data was collected over 24 h to explore 4320 transit trips and 69,120 attributes for a single origin–destination pair. Co-modality is used to understand how dozens of transit routes and schedules will best serve transit users. A detailed analysis of trips involving multiple transit segments is conducted to understand how varying headways influence the overall trip travel time. The main conclusion for this paper is that a user perspective is necessary to understand co-modality across public transit systems. Some of the metrics identified in this paper, such as percent of trip spent walking, will be useful in assessing last-mile portions of travel across multiple trips. A better understanding of transit service to travelers by the transit system as a whole will help to improve transportation in dense urban areas.

Suggested Citation

  • Naima Islam & Md Abu Sufian Talukder & Alex Hainen & Travis Atkison, 2020. "Characterizing co-modality in urban transit systems from a passengers’ perspective," Public Transport, Springer, vol. 12(2), pages 405-430, June.
    • Handle: RePEc:spr:pubtra:v:12:y:2020:i:2:d:10.1007_s12469-020-00228-y
    DOI: 10.1007/s12469-020-00228-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12469-020-00228-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12469-020-00228-y?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. Bergstad, Cecilia Jakobsson & Gamble, Amelie & Hagman, Olle & Polk, Merritt & Gärling, Tommy & Olsson, Lars E., 2011. "Affective–symbolic and instrumental–independence psychological motives mediating effects of socio-demographic variables on daily car use," Journal of Transport Geography, Elsevier, vol. 19(1), pages 33-38.
    2. 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.
    3. Alan Murray, 2003. "A Coverage Model for Improving Public Transit System Accessibility and Expanding Access," Annals of Operations Research, Springer, vol. 123(1), pages 143-156, October.
    4. Redman, Lauren & Friman, Margareta & Gärling, Tommy & Hartig, Terry, 2013. "Quality attributes of public transport that attract car users: A research review," Transport Policy, Elsevier, vol. 25(C), pages 119-127.
    5. Holmgren, Johan, 2007. "Meta-analysis of public transport demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 1021-1035, December.
    6. Tertoolen, Gerard & van Kreveld, Dik & Verstraten, Ben, 1998. "Psychological resistance against attempts to reduce private car use," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(3), pages 171-181, April.
    7. Jakobsson, C. & Fujii, S. & Gärling, T., 2000. "Determinants of private car users' acceptance of road pricing," Transport Policy, Elsevier, vol. 7(2), pages 153-158, April.
    8. Cecilia Viggiano & Haris N. Koutsopoulos & Nigel H. M. Wilson & John Attanucci, 2017. "Journey-based characterization of multi-modal public transportation networks," Public Transport, Springer, vol. 9(1), pages 437-461, July.
    9. Paula Vicente & Elizabeth Reis, 2016. "Profiling public transport users through perceptions about public transport providers and satisfaction with the public transport service," Public Transport, Springer, vol. 8(3), pages 387-403, December.
    10. G. Giannopoulos, 2008. "The Application of Co-modality in Greece: a Critical Appraisal of Progress in the Development of Co-modal Freight Centres and Logistics Services," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 15(2), pages 289-301, September.
    11. Adebisi, O., 1986. "A mathematical model for headway variance of fixed-route buses," Transportation Research Part B: Methodological, Elsevier, vol. 20(1), pages 59-70, February.
    12. Dea van Lierop & Kees Maat & Ahmed El-Geneidy, 2017. "Talking TOD: learning about transit-oriented development in the United States, Canada, and the Netherlands," Journal of Urbanism: International Research on Placemaking and Urban Sustainability, Taylor & Francis Journals, vol. 10(1), pages 49-62, January.
    13. Ralph Buehler & John Pucher, 2012. "Demand for Public Transport in Germany and the USA: An Analysis of Rider Characteristics," Transport Reviews, Taylor & Francis Journals, vol. 32(5), pages 541-567, June.
    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. Efthymiou, Dimitrios & Antoniou, Constantinos & Tyrinopoulos, Yannis & Skaltsogianni, Eleana, 2018. "Factors affecting bus users’ satisfaction in times of economic crisis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 3-12.
    2. Gustav Bösehans & Ian Walker, 2020. "Do supra-modal traveller types exist? A travel behaviour market segmentation using Goal framing theory," Transportation, Springer, vol. 47(1), pages 243-273, February.
    3. Chowdhury, Subeh & Ceder, Avishai (Avi), 2016. "Users’ willingness to ride an integrated public-transport service: A literature review," Transport Policy, Elsevier, vol. 48(C), pages 183-195.
    4. Efthymiou, Dimitrios & Antoniou, Constantinos, 2017. "Understanding the effects of economic crisis on public transport users’ satisfaction and demand," Transport Policy, Elsevier, vol. 53(C), pages 89-97.
    5. Audronė Minelgaitė & Renata Dagiliūtė & Genovaitė Liobikienė, 2020. "The Usage of Public Transport and Impact of Satisfaction in the European Union," Sustainability, MDPI, vol. 12(21), pages 1-13, November.
    6. Rubén Cordera & Soledad Nogués & Esther González-González & Luigi dell’Olio, 2019. "Intra-Urban Spatial Disparities in User Satisfaction with Public Transport Services," Sustainability, MDPI, vol. 11(20), pages 1-22, October.
    7. Dacko, Scott G. & Spalteholz, Carolin, 2014. "Upgrading the city: Enabling intermodal travel behaviour," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 222-235.
    8. Hagen, Jonas Xaver & Pardo, CarlosFelipe & Valente, Johanna Burbano, 2016. "Motivations for motorcycle use for Urban travel in Latin America: A qualitative study," Transport Policy, Elsevier, vol. 49(C), pages 93-104.
    9. Prasad, Prashant & Maitra, Bhargab, 2019. "Identifying areas of interventions for improvement of shared modes for school trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 122-135.
    10. Alessandro Vitale & Giuseppe Guido & Daniele Rogano, 2016. "A smartphone based DSS platform for assessing transit service attributes," Public Transport, Springer, vol. 8(2), pages 315-340, September.
    11. Chica-Olmo, Jorge & Gachs-Sánchez, Héctor & Lizarraga, Carmen, 2018. "Route effect on the perception of public transport services quality," Transport Policy, Elsevier, vol. 67(C), pages 40-48.
    12. Nordfjærn, Trond & Rundmo, Torbjørn, 2015. "Environmental norms, transport priorities and resistance to change associated with acceptance of push measures in transport," Transport Policy, Elsevier, vol. 44(C), pages 1-8.
    13. Vigren, Andreas & Pyddoke, Roger, 2020. "The impact on bus ridership of passenger incentive contracts in public transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 144-159.
    14. Drevs, Florian & Tscheulin, Dieter K. & Lindenmeier, Jörg & Renner, Simone, 2014. "Crowding-in or crowding out: An empirical analysis on the effect of subsidies on individual willingness-to-pay for public transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 250-261.
    15. David Hensher & Corinne Mulley, 2015. "Modal image: candidate drivers of preference differences for BRT and LRT," Transportation, Springer, vol. 42(1), pages 7-23, January.
    16. Štefancová Vladimíra & Harantová Veronika & Mazanec Jaroslav & Mašek Jaroslav & Foltýnová Hana Brůhová, 2023. "Analysis of Passenger Behaviour During the Covid-19 Pandemic Situation," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 14(1), pages 203-214, January.
    17. Magalhães, David José Ahouagi Vaz de & Rivera-Gonzalez, Carlos, 2021. "Car users’ attitudes towards an enhanced bus system to mitigate urban congestion in a developing country," Transport Policy, Elsevier, vol. 110(C), pages 452-464.
    18. Li, Hao & Gao, Kun & Tu, Huizhao, 2017. "Variations in mode-specific valuations of travel time reliability and in-vehicle crowding: Implications for demand estimation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 250-263.
    19. Papadima, Georgia & Genitsaris, Evangelos & Karagiotas, Ioannis & Naniopoulos, Aristotelis & Nalmpantis, Dimitrios, 2020. "Investigation of acceptance of driverless buses in the city of Trikala and optimization of the service using Conjoint Analysis," Utilities Policy, Elsevier, vol. 62(C).
    20. Kim, Junghwa & Schmöcker, Jan-Dirk & Fujii, Satoshi & Noland, Robert B., 2013. "Attitudes towards road pricing and environmental taxation among US and UK students," Transportation Research Part A: Policy and Practice, Elsevier, vol. 48(C), pages 50-62.

    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:spr:pubtra:v:12:y:2020:i:2:d:10.1007_s12469-020-00228-y. 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.