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Demand responsive urban public transport system design: Methodology and application

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  • Enrique Fernández L., J.
  • de Cea Ch., Joaquin
  • Malbran, R. Henry

Abstract

In this paper, we present a methodology for solving the Public Transport Network Design Problem (PTNDP) and describe its application in the context of the Design Study developed in order to propose a new structure for the transit system of the city of Santiago, Chile. Firstly, we briefly define the PTNDP as a multilevel programming problem and discuss the solution method implemented. Then, the application of this methodology to the Santiago transit system is presented, and the main results obtained are analyzed. The new restructured system, based on a hierarchy of specialized services that complement and coordinate their operations and using an integrated fare scheme, is compared with an optimized version (optimal frequencies) of the current one, a set of direct services, mainly based on the operation of independent itineraries, without fare integration. The most important conclusions are the following: (a) the private operating costs and the social costs of the restructured system, using higher standard buses, are considerably lower than the costs of the current system; (b) these cost reductions allow government authorities to introduce an important number of modernizing measures without subsidies and fare increases.

Suggested Citation

  • Enrique Fernández L., J. & de Cea Ch., Joaquin & Malbran, R. Henry, 2008. "Demand responsive urban public transport system design: Methodology and application," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(7), pages 951-972, August.
    • Handle: RePEc:eee:transa:v:42:y:2008:i:7:p:951-972
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    References listed on IDEAS

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    Cited by:

    1. Baichuan Mo & Zhejing Cao & Hongmou Zhang & Yu Shen & Jinhua Zhao, 2020. "Competition between shared autonomous vehicles and public transit: A case study in Singapore," Papers 2001.03197, arXiv.org, revised Feb 2021.
    2. Paul J.J. Welfens & Nan Yu & David Hanrahan & Benedikt Schmuelling & Heiko Fechtner, 2018. "Electrical Bus Mobility in the EU and China: Technological, Ecological and Economic Policy Perspectives," EIIW Discussion paper disbei255, Universitätsbibliothek Wuppertal, University Library.
    3. 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.
    4. Lee, Enoch & Cen, Xuekai & Lo, Hong K., 2021. "Zonal-based flexible bus service under elastic stochastic demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    5. Tirachini, Alejandro & Hurtubia, Ricardo & Dekker, Thijs & Daziano, Ricardo A., 2017. "Estimation of crowding discomfort in public transport: Results from Santiago de Chile," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 311-326.
    6. Wencheng Huang & Bin Shuai & Eric Antwi, 2019. "A two-stage optimization approach for subscription bus services network design: the China case," Public Transport, Springer, vol. 11(3), pages 589-616, October.
    7. Ibarra-Rojas, O.J. & Delgado, F. & Giesen, R. & Muñoz, J.C., 2015. "Planning, operation, and control of bus transport systems: A literature review," Transportation Research Part B: Methodological, Elsevier, vol. 77(C), pages 38-75.
    8. (Edward) Kim, Myungseob & Levy, Joshua & Schonfeld, Paul, 2019. "Optimal zone sizes and headways for flexible-route bus services," Transportation Research Part B: Methodological, Elsevier, vol. 130(C), pages 67-81.
    9. Leiva, Carola & Muñoz, Juan Carlos & Giesen, Ricardo & Larrain, Homero, 2010. "Design of limited-stop services for an urban bus corridor with capacity constraints," Transportation Research Part B: Methodological, Elsevier, vol. 44(10), pages 1186-1201, December.
    10. Albalate, Daniel & Bel, Germà, 2010. "What shapes local public transportation in Europe? Economics, mobility, institutions, and geography," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(5), pages 775-790, September.
    11. Philipp Heyken Soares, 2021. "Zone-based public transport route optimisation in an urban network," Public Transport, Springer, vol. 13(1), pages 197-231, March.
    12. María Yáñez & Patricio Mansilla & Juan de Ortúzar, 2010. "The Santiago Panel: measuring the effects of implementing Transantiago," Transportation, Springer, vol. 37(1), pages 125-149, January.

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