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Implicit Enumeration of Hyperpaths in a Logit Model for Transit Networks

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  • Sang Nguyen

    (Département d'informatique et de recherche opérationnelle et Centre de recherche sur les transports, Université de Montréal C.P. 6128, succursale centre-ville Montréal H3C 3J7, Canada)

  • Stefano Pallottino

    (Istituto di Elettronica, Universitá di Perugia, via G. Duranti 1/A1-06131, Perugia, Italy)

  • Michel Gendreau

    (Département d'informatique et de recherche opérationnelle et Centre de recherche sur les transports, Université de Montréal C.P. 6128, succursale centre-ville Montréal H3C 3J7, Canada)

Abstract

This paper investigates the application of a logit model to urban transit networks where every set of competitive transit lines is described by a particular graph structure called hyperpath. It shows that a sequential form of the logit model transcends the inherent limitations of the global form while retaining the algorithmic advantages similar to those obtained with the ordinary logit model for private vehicle networks.

Suggested Citation

  • Sang Nguyen & Stefano Pallottino & Michel Gendreau, 1998. "Implicit Enumeration of Hyperpaths in a Logit Model for Transit Networks," Transportation Science, INFORMS, vol. 32(1), pages 54-64, February.
    • Handle: RePEc:inm:ortrsc:v:32:y:1998:i:1:p:54-64
    DOI: 10.1287/trsc.32.1.54
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    Cited by:

    1. Alireza Khani & Mark Hickman & Hyunsoo Noh, 2015. "Trip-Based Path Algorithms Using the Transit Network Hierarchy," Networks and Spatial Economics, Springer, vol. 15(3), pages 635-653, September.
    2. Nassir, Neema & Hickman, Mark & Ma, Zhen-Liang, 2019. "A strategy-based recursive path choice model for public transit smart card data," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 528-548.
    3. Elnaz Miandoabchi & Reza Farahani & W. Szeto, 2012. "Bi-objective bimodal urban road network design using hybrid metaheuristics," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(4), pages 583-621, December.
    4. 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.
    5. Gentile, Guido & Papola, Natale & Persia, Luca, 2005. "Advanced pricing and rationing policies for large scale multimodal networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(7-9), pages 612-631.
    6. Wu, Jianjun & Qu, Yunchao & Sun, Huijun & Yin, Haodong & Yan, Xiaoyong & Zhao, Jiandong, 2019. "Data-driven model for passenger route choice in urban metro network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 787-798.
    7. 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.
    8. Larsen, Odd I. & Sunde, yvind, 2008. "Waiting time and the role and value of information in scheduled transport," Research in Transportation Economics, Elsevier, vol. 23(1), pages 41-52, January.
    9. Bellei, Giuseppe & Gentile, Guido & Papola, Natale, 2002. "Network pricing optimization in multi-user and multimodal context with elastic demand," Transportation Research Part B: Methodological, Elsevier, vol. 36(9), pages 779-798, November.
    10. 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.
    11. Shuangyan Li & Yijing Liang & Zhenjie Wang & Dezhi Zhang, 2021. "An Optimization Model of a Sustainable City Logistics Network Design Based on Goal Programming," Sustainability, MDPI, vol. 13(13), pages 1-20, July.
    12. Cortés, Cristián E. & Donoso, Pedro & Gutiérrez, Leonel & Herl, Daniel & Muñoz, Diego, 2023. "A recursive stochastic transit equilibrium model estimated using passive data from Santiago, Chile," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    13. Liu, Qi & Chow, Joseph Y.J., 2022. "Efficient and stable data-sharing in a public transit oligopoly as a coopetitive game," Transportation Research Part B: Methodological, Elsevier, vol. 163(C), pages 64-87.
    14. Jean-Christophe Foltête & Amaud Piombini, 2010. "Deviations in Pedestrian Itineraries in Urban Areas: A Method to Assess the Role of Environmental Factors," Environment and Planning B, , vol. 37(4), pages 723-739, August.
    15. Elnaz Miandoabchi & Reza Farahani & Wout Dullaert & W. Szeto, 2012. "Hybrid Evolutionary Metaheuristics for Concurrent Multi-Objective Design of Urban Road and Public Transit Networks," Networks and Spatial Economics, Springer, vol. 12(3), pages 441-480, September.
    16. D'Acierno, Luca & Gallo, Mariano & Montella, Bruno, 2006. "Optimisation models for the urban parking pricing problem," Transport Policy, Elsevier, vol. 13(1), pages 34-48, January.
    17. Guido Gentile & Sang Nguyen & Stefano Pallottino, 2005. "Route Choice on Transit Networks with Online Information at Stops," Transportation Science, INFORMS, vol. 39(3), pages 289-297, August.
    18. Li, Qianfei & (Will) Chen, Peng & (Marco) Nie, Yu, 2015. "Finding optimal hyperpaths in large transit networks with realistic headway distributions," European Journal of Operational Research, Elsevier, vol. 240(1), pages 98-108.
    19. Nielsen, Lars Relund & Pretolani, Daniele & Andersen, Kim Allan, 2004. "Finding the K shortest hyperpaths using reoptimization," CORAL Working Papers L-2004-04, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    20. Chai, Huajun, 2019. "Dynamic Traffic Routing and Adaptive Signal Control in a Connected Vehicles Environment," Institute of Transportation Studies, Working Paper Series qt9ng3z8vn, Institute of Transportation Studies, UC Davis.
    21. Mohammad Nurul Hassan & Taha Hossein Rashidi & Neema Nassir, 2021. "Consideration of different travel strategies and choice set sizes in transit path choice modelling," Transportation, Springer, vol. 48(2), pages 723-746, April.
    22. Luca D’Acierno & Marilisa Botte, 2021. "Railway System Design by Adopting the Merry-Go-Round (MGR) Paradigm," Sustainability, MDPI, vol. 13(4), pages 1-21, February.

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