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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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    1. Cascetta, Ennio & Papola, Andrea, 2009. "Dominance among alternatives in random utility models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(2), pages 170-179, February.
    2. Ennio Cascetta, 2009. "Transportation Systems Analysis," Springer Optimization and Its Applications, Springer, number 978-0-387-75857-2, June.
    3. Benedikt Mandel & Marc Gaudry & Werner Rothengatter, 1997. "A disaggregate Box-Cox Logit mode choice model of intercity passenger travel in Germany and its implications for high-speed rail demand forecasts," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(2), pages 99-120.
    4. Román, Concepción & Espino, Raquel & Martín, Juan Carlos, 2007. "Competition of high-speed train with air transport: The case of Madrid–Barcelona," Journal of Air Transport Management, Elsevier, vol. 13(5), pages 277-284.
    5. Antonio Couto & Daniel Graham, 2008. "The impact of high-speed technology on railway demand," Transportation, Springer, vol. 35(1), pages 111-128, January.
    6. Chaug-Ing Hsu & Wen-Ming Chung, 1997. "A model for market share distribution between high-speed and conventional rail services in a transportation corridor," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(2), pages 121-153.
    7. Campos, Javier & de Rus, Ginés, 2009. "Some stylized facts about high-speed rail: A review of HSR experiences around the world," Transport Policy, Elsevier, vol. 16(1), pages 19-28, January.
    8. Wardman, Mark, 2006. "Demand for rail travel and the effects of external factors," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 42(3), pages 129-148, May.
    9. Yao, Enjian & Morikawa, Takayuki, 2005. "A study of on integrated intercity travel demand model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(4), pages 367-381, May.
    10. Juan Martín & Gustavo Nombela, 2007. "Microeconomic impacts of investments in high speed trains in Spain," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 41(3), pages 715-733, September.
    11. 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.
    12. Park, Yonghwa & Ha, Hun-Koo, 2006. "Analysis of the impact of high-speed railroad service on air transport demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 42(2), pages 95-104, March.
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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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    9. 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).
    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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