IDEAS home Printed from https://ideas.repec.org/a/eee/retrec/v59y2016icp258-267.html
   My bibliography  Save this article

Comparison of passengers' behavior and aggregate demand levels on a subway system using origin-destination surveys and smartcard data

Author

Listed:
  • Pineda, Cristobal
  • Schwarz, Daniel
  • Godoy, Esteban

Abstract

The purpose of this paper is to compare the information of origin-destination (OD) matrices, transfers and passenger load levels from two data sources for Metro de Santiago: OD survey and smartcard data. Using the OD survey data, it is possible to determine passenger loads and transfer flows for each line of the network, as the route of the surveyed trips, including transfer stations, is identified. Moreover, OD matrices can be estimated using smartcard data in Santiago's integrated transit system. The latter is done establishing the time and geographical position of every boarding transaction in the system using the GPS equipment inside buses or validation devices in subway stations. Using also an alighting stop estimation model, it is possible to determine the OD matrix. The estimated matrix is assigned in a transit equilibrium model, where passenger load levels are a result of this process. Both sets of demand levels show a strong correlation between them, which in the future would allow the use of smartcard data as the main source of information for the construction of OD matrices, avoiding the need to perform the complete OD survey. Anyhow, a smaller specific survey to address socioeconomic and accessibility data would be needed as a complement, saving considerable resources. This proposed methodology becomes crucial considering the important expansion that the Metro network will face by 2020; this is 37 km for two new lines and 6 km for two line extensions. These expansion projects will include 32 new stations, nine of them with transfer possibilities.

Suggested Citation

  • Pineda, Cristobal & Schwarz, Daniel & Godoy, Esteban, 2016. "Comparison of passengers' behavior and aggregate demand levels on a subway system using origin-destination surveys and smartcard data," Research in Transportation Economics, Elsevier, vol. 59(C), pages 258-267.
  • Handle: RePEc:eee:retrec:v:59:y:2016:i:c:p:258-267
    DOI: 10.1016/j.retrec.2016.07.026
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0739885915300548
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.retrec.2016.07.026?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. Joaquín de Cea & Enrique Fernández, 1993. "Transit Assignment for Congested Public Transport Systems: An Equilibrium Model," Transportation Science, INFORMS, vol. 27(2), pages 133-147, May.
    2. Claude Chriqui & Pierre Robillard, 1975. "Common Bus Lines," Transportation Science, INFORMS, vol. 9(2), pages 115-121, 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. Jaime Santos-Reyes & Diego Padilla-Perez & Alan N Beard, 2019. "Transport Infrastructure Interdependency: Metro’s Failure Propagation in the Road Transport System in Mexico City," Sustainability, MDPI, vol. 11(17), pages 1-24, August.
    2. Egu, Oscar & Bonnel, Patrick, 2020. "How comparable are origin-destination matrices estimated from automatic fare collection, origin-destination surveys and household travel survey? An empirical investigation in Lyon," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 267-282.
    3. Pan Wu & Jinlong Li & Yuzhuang Pian & Xiaochen Li & Zilin Huang & Lunhui Xu & Guilin Li & Ruonan Li, 2022. "How Determinants Affect Transfer Ridership between Metro and Bus Systems: A Multivariate Generalized Poisson Regression Analysis Method," Sustainability, MDPI, vol. 14(15), pages 1-31, August.

    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. Xu, Zhandong & Xie, Jun & Liu, Xiaobo & Nie, Yu (Marco), 2020. "Hyperpath-based algorithms for the transit equilibrium assignment problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    2. Codina, Esteve & Rosell, Francisca, 2017. "A heuristic method for a congested capacitated transit assignment model with strategies," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 293-320.
    3. Wang, David Z.W. & Nayan, Ashish & Szeto, W.Y., 2018. "Optimal bus service design with limited stop services in a travel corridor," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 111(C), pages 70-86.
    4. Roberto Cominetti & José Correa, 2001. "Common-Lines and Passenger Assignment in Congested Transit Networks," Transportation Science, INFORMS, vol. 35(3), pages 250-267, August.
    5. Homero Larrain & Juan Muñoz, 2008. "Public Transit Corridor Assignment Assuming Congestion Due to Passenger Boarding and Alighting," Networks and Spatial Economics, Springer, vol. 8(2), pages 241-256, September.
    6. Cepeda, M. & Cominetti, R. & Florian, M., 2006. "A frequency-based assignment model for congested transit networks with strict capacity constraints: characterization and computation of equilibria," Transportation Research Part B: Methodological, Elsevier, vol. 40(6), pages 437-459, July.
    7. Suman, Hemant & Larrain, Homero & Muñoz, Juan Carlos, 2021. "The impact of using a naïve approach in the limited-stop bus service design problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 45-61.
    8. Ren, Hualing & Song, Yingjie & Long, Jiancheng & Si, Bingfeng, 2021. "A new transit assignment model based on line and node strategies," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 121-142.
    9. Cancela, Héctor & Mauttone, Antonio & Urquhart, María E., 2015. "Mathematical programming formulations for transit network design," Transportation Research Part B: Methodological, Elsevier, vol. 77(C), pages 17-37.
    10. Morten Eltved & Otto Anker Nielsen & Thomas Kjær Rasmussen, 2019. "An assignment model for public transport networks with both schedule- and frequency-based services," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 8(5), pages 769-793, December.
    11. Esteve Codina, 2013. "A Variational Inequality Reformulation of a Congested Transit Assignment Model by Cominetti, Correa, Cepeda, and Florian," Transportation Science, INFORMS, vol. 47(2), pages 231-246, May.
    12. Agostino Nuzzolo & Francesco Russo & Umberto Crisalli, 2001. "A Doubly Dynamic Schedule-based Assignment Model for Transit Networks," Transportation Science, INFORMS, vol. 35(3), pages 268-285, August.
    13. Soto, Guillermo & Larrain, Homero & Muñoz, Juan Carlos, 2017. "A new solution framework for the limited-stop bus service design problem," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 67-85.
    14. Zhang, Yu & Tang, Jiafu, 2018. "Itinerary planning with time budget for risk-averse travelers," European Journal of Operational Research, Elsevier, vol. 267(1), pages 288-303.
    15. Cortés, Cristián E. & Jara-Moroni, Pedro & Moreno, Eduardo & Pineda, Cristobal, 2013. "Stochastic transit equilibrium," Transportation Research Part B: Methodological, Elsevier, vol. 51(C), pages 29-44.
    16. Valentina Trozzi & Guido Gentile & Ioannis Kaparias & Michael Bell, 2015. "Effects of Countdown Displays in Public Transport Route Choice Under Severe Overcrowding," Networks and Spatial Economics, Springer, vol. 15(3), pages 823-842, September.
    17. Martínez, Héctor & Mauttone, Antonio & Urquhart, María E., 2014. "Frequency optimization in public transportation systems: Formulation and metaheuristic approach," European Journal of Operational Research, Elsevier, vol. 236(1), pages 27-36.
    18. Tian, Qingyun & Wang, David Z.W. & Lin, Yun Hui, 2021. "Service operation design in a transit network with congested common lines," Transportation Research Part B: Methodological, Elsevier, vol. 144(C), pages 81-102.
    19. Nielsen, Otto Anker, 2000. "A stochastic transit assignment model considering differences in passengers utility functions," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 377-402, June.
    20. Tarun Rambha & Stephen D. Boyles & S. Travis Waller, 2016. "Adaptive Transit Routing in Stochastic Time-Dependent Networks," Transportation Science, INFORMS, vol. 50(3), pages 1043-1059, August.

    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:retrec:v:59:y:2016:i:c:p:258-267. 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/620614/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.