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Assessment of schedule-based and frequency-based assignment models for strategic and operational planning of high-speed rail services

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  • Cascetta, Ennio
  • Coppola, Pierluigi

Abstract

Despite some substantial limitations in the simulation of low-frequency scheduled services, frequency-based (FB) assignment models are by far the most widely used in practice. They are less expensive to build and less demanding from the computational viewpoint with respect to schedule-based (SB) models, as they require neither explicit simulation of the timetable (on the supply side), nor segmentation of OD matrices by desired departure/arrival time (on the demand side).

Suggested Citation

  • Cascetta, Ennio & Coppola, Pierluigi, 2016. "Assessment of schedule-based and frequency-based assignment models for strategic and operational planning of high-speed rail services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 84(C), pages 93-108.
    • Handle: RePEc:eee:transa:v:84:y:2016:i:c:p:93-108
    DOI: 10.1016/j.tra.2015.09.010
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Guo, Ying & Cao, Lingyan & Song, Ying & Wang, Yan & Li, Yongkui, 2022. "Understanding the formation of City-HSR network: A case study of Yangtze River Delta, China," Transport Policy, Elsevier, vol. 116(C), pages 315-326.
    3. Vautard, Félix & Liu, Chengxi & Fröidh, Oskar & Byström, Camilla, 2021. "Estimation of interregional rail passengers’ valuations for their desired departure times," Transport Policy, Elsevier, vol. 103(C), pages 183-196.
    4. Konrad Steiner & Stefan Irnich, 2018. "Schedule-Based Integrated Intercity Bus Line Planning via Branch-and-Cut," Transportation Science, INFORMS, vol. 52(4), pages 882-897, August.
    5. Han Zhong & Geqi Qi & Wei Guan & Xiaochen Hua, 2019. "Application of Nonnegative Tensor Factorization for Intercity Rail–Air Transport Supply Configuration Pattern Recognition," Sustainability, MDPI, vol. 11(6), pages 1-19, March.
    6. Cartenì, Armando & Pariota, Luigi & Henke, Ilaria, 2017. "Hedonic value of high-speed rail services: Quantitative analysis of the students’ domestic tourist attractiveness of the main Italian cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 348-365.
    7. Xu, Guangming & Liu, Wei & Wu, Runfa & Yang, Hai, 2021. "A double time-scale passenger assignment model for high-speed railway networks with continuum capacity approximation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 150(C).
    8. Carlos Romero & Clara Zamorano & Emilio Ortega & Belén Martín, 2021. "Access to Secondary HSR Stations in the Urban Periphery: A Generalised Cost-Based Assessment," Sustainability, MDPI, vol. 13(21), pages 1-19, November.
    9. Lee, Enoch & Cen, Xuekai & Lo, Hong K., 2022. "Scheduling zonal-based flexible bus service under dynamic stochastic demand and Time-dependent travel time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
    10. Konrad Steiner, 2019. "Schedule-Based Integrated Inter-City Bus Line Planning for Multiple Timetabled Services via Large Multiple Neighborhood Search," Working Papers 1902, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.

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