IDEAS home Printed from https://ideas.repec.org/a/spr/pubtra/v13y2021i3d10.1007_s12469-019-00214-z.html
   My bibliography  Save this article

Before-and-after evaluation of a bus network improvement using performance indicators from historical smart card data

Author

Listed:
  • Renato Arbex

    (Escola Politécnica da USP, Universidade de São Paulo)

  • Claudio Barbieri Cunha

    (Escola Politécnica da USP, Universidade de São Paulo)

  • Roberto Speicys

    (Scipopulis Desenvolvimento e Análise de Dados Ltda)

Abstract

This paper describes a methodology for assessing before-and-after benefits for residents in an urban area resulting from the implementation of a major bus network improvement. The new late-night bus network of the city of São Paulo, Brazil is used as a case study. A group of supply and demand performance indicators is proposed in order to evaluate changes on all network levels. Accessibility analyses are conducted to evaluate how changes in the supply side potentially impact easiness of reaching destinations, while an analysis of the demand side response is performed by comparing changes in origin and destination transit trip volumes in a three-year period using historical smart card and GPS data, as well as differences in average travel times and number of transfers per trip within the network.

Suggested Citation

  • Renato Arbex & Claudio Barbieri Cunha & Roberto Speicys, 2021. "Before-and-after evaluation of a bus network improvement using performance indicators from historical smart card data," Public Transport, Springer, vol. 13(3), pages 483-501, October.
    • Handle: RePEc:spr:pubtra:v:13:y:2021:i:3:d:10.1007_s12469-019-00214-z
    DOI: 10.1007/s12469-019-00214-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12469-019-00214-z
    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/s12469-019-00214-z?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. Arbex, Renato Oliveira & da Cunha, Claudio Barbieri, 2015. "Efficient transit network design and frequencies setting multi-objective optimization by alternating objective genetic algorithm," Transportation Research Part B: Methodological, Elsevier, vol. 81(P2), pages 355-376.
    2. Birch, Colin P.D. & Oom, Sander P. & Beecham, Jonathan A., 2007. "Rectangular and hexagonal grids used for observation, experiment and simulation in ecology," Ecological Modelling, Elsevier, vol. 206(3), pages 347-359.
    3. Owen, Andrew & Levinson, David M., 2015. "Modeling the commute mode share of transit using continuous accessibility to jobs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 110-122.
    4. Neema Nassir & Mark Hickman & Zhen-Liang Ma, 2015. "Activity detection and transfer identification for public transit fare card data," Transportation, Springer, vol. 42(4), pages 683-705, July.
    5. Michael Iacono & David Levinson, 2017. "Accessibility dynamics and location premia: Do land values follow accessibility changes?," Urban Studies, Urban Studies Journal Limited, vol. 54(2), pages 364-381, February.
    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. Zhang, Yingheng & Li, Haojie & Ren, Gang, 2022. "Quantifying the social impacts of the London Night Tube with a double/debiased machine learning based difference-in-differences approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 288-303.

    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. Nassir, Neema & Hickman, Mark & Malekzadeh, Ali & Irannezhad, Elnaz, 2016. "A utility-based travel impedance measure for public transit network accessibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 26-39.
    2. Faghih Imani, Ahmadreza & Miller, Eric J. & Saxe, Shoshanna, 2019. "Cycle accessibility and level of traffic stress: A case study of Toronto," Journal of Transport Geography, Elsevier, vol. 80(C).
    3. David Levinson & Hao Wu, 2020. "Towards a general theory of access," Working Papers 2022-01, University of Minnesota: Nexus Research Group.
    4. Pereira, Rafael H.M., 2019. "Future accessibility impacts of transport policy scenarios: Equity and sensitivity to travel time thresholds for Bus Rapid Transit expansion in Rio de Janeiro," Journal of Transport Geography, Elsevier, vol. 74(C), pages 321-332.
    5. Arbex, Renato & Cunha, Claudio B., 2020. "Estimating the influence of crowding and travel time variability on accessibility to jobs in a large public transport network using smart card big data," Journal of Transport Geography, Elsevier, vol. 85(C).
    6. Rayaprolu, Hema & Levinson, David, 2024. "Co-evolution of public transport access and ridership," Journal of Transport Geography, Elsevier, vol. 116(C).
    7. Denis Maragno & Michele Dalla Fontana & Francesco Musco, 2020. "Mapping Heat Stress Vulnerability and Risk Assessment at the Neighborhood Scale to Drive Urban Adaptation Planning," Sustainability, MDPI, vol. 12(3), pages 1-16, February.
    8. Li, Shunxi & Su, Bowen & St-Pierre, David L. & Sui, Pang-Chieh & Zhang, Guofang & Xiao, Jinsheng, 2017. "Decision-making of compressed natural gas station siting for public transportation: Integration of multi-objective optimization, fuzzy evaluating, and radar charting," Energy, Elsevier, vol. 140(P1), pages 11-17.
    9. Andrew Owen & Haibing Jiang, 2015. "Temporal Sampling Intervals and Service Frequency Harmonics in Transit Accessibility Evaluation," Working Papers 000144, University of Minnesota: Nexus Research Group.
    10. Singh, Abhilash C. & Faghih Imani, Ahmadreza & Sivakumar, Aruna & Luna Xi, Yang & Miller, Eric J., 2024. "A joint analysis of accessibility and household trip frequencies by travel mode," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    11. Kim, Suji & Lee, Sujin & Ko, Eunjeong & Jang, Kitae & Yeo, Jiho, 2021. "Changes in car and bus usage amid the COVID-19 pandemic: Relationship with land use and land price," Journal of Transport Geography, Elsevier, vol. 96(C).
    12. Pacheco de Castro Flores Ribeiro, Paulo & Osório de Barros de Lima e Santos, José Manuel & Prudêncio Rafael Canadas, Maria João & Contente de Vinha Novais, Ana Maria & Ribeiro Ferraria Moreira, Franci, 2021. "Explaining farming systems spatial patterns: A farm-level choice model based on socioeconomic and biophysical drivers," Agricultural Systems, Elsevier, vol. 191(C).
    13. Ziedan, Abubakr & Darling, Wesley & Brakewood, Candace & Erhardt, Greg & Watkins, Kari, 2021. "The impacts of shared e-scooters on bus ridership," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 20-34.
    14. Helai Huang & Jialing Wu & Fang Liu & Yiwei Wang, 2020. "Measuring Accessibility Based on Improved Impedance and Attractive Functions Using Taxi Trajectory Data," Sustainability, MDPI, vol. 13(1), pages 1-23, December.
    15. Francesca Peroni & Guglielmo Pristeri & Daniele Codato & Salvatore Eugenio Pappalardo & Massimo De Marchi, 2019. "Biotope Area Factor: An Ecological Urban Index to Geovisualize Soil Sealing in Padua, Italy," Sustainability, MDPI, vol. 12(1), pages 1-17, December.
    16. Jue Wang & Mei-Po Kwan & Yanwei Chai, 2018. "An Innovative Context-Based Crystal-Growth Activity Space Method for Environmental Exposure Assessment: A Study Using GIS and GPS Trajectory Data Collected in Chicago," IJERPH, MDPI, vol. 15(4), pages 1-24, April.
    17. Oliveira, Renata Lúcia Magalhães de & Dablanc, Laetitia & Schorung, Matthieu, 2022. "Changes in warehouse spatial patterns and rental prices: Are they related? Exploring the case of US metropolitan areas," Journal of Transport Geography, Elsevier, vol. 104(C).
    18. Sungsoo Yoon & Youngjoo Moon & Jinah Jeong & Chan-Ryul Park & Wanmo Kang, 2021. "A Network-Based Approach for Reducing Pedestrian Exposure to PM 2.5 Induced by Road Traffic in Seoul," Land, MDPI, vol. 10(10), pages 1-14, October.
    19. Lissy La Paix & Karst Geurs, 2015. "Scenarios for measuring station-based impedances in a national transport model," ERSA conference papers ersa15p1310, European Regional Science Association.
    20. Chen, Enhui & Stathopoulos, Amanda & Nie, Yu (Marco), 2022. "Transfer station choice in a multimodal transit system: An empirical study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 337-355.

    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:13:y:2021:i:3:d:10.1007_s12469-019-00214-z. 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.