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A study of on integrated intercity travel demand model

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  • Yao, Enjian
  • Morikawa, Takayuki

Abstract

It is well reported that induced travel is an important component of travel demand. With improved transportation conditions, short run effects (e.g., route switches, mode switches, changes of destination, and new trip generation) and long term effects (e.g., change in household auto ownership, and spatial reallocation of activities) will be observed. This paper aims to develop an integrated intercity travel demand modelling system suitable for substantial changes in service level. The model utilizes combined estimation across multiple data sources such as SP, RP and aggregate data. This integrated intercity travel demand modelling system is characterized by an explicit intercity travel behavioural framework and its ability to capture induced travel. Intercity travel decisions are represented by a nested model structure, and an accessibility measure is introduced to capture short term induced travel. The paper also sketches a way to estimate induced travel resulting from long term changes (spatial reallocation of activities). As a case study, an integrated model including trip generation, destination choice, mode choice, and route choice is presented for an intercity high speed rail project planned in Japan, and short term induced travel elasticities with respect to travel cost, travel time, and etc. are also presented.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transa:v:39:y:2005:i:4:p:367-381
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    References listed on IDEAS

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    1. Noland, Robert B., 2001. "Relationships between highway capacity and induced vehicle travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(1), pages 47-72, January.
    2. Kitamura, Ryuichi & Fujii, Satoshi & Pas, Eric I., 1997. "Time-use data, analysis and modeling: toward the next generation of transportation planning methodologies," Transport Policy, Elsevier, vol. 4(4), pages 225-235, October.
    3. Robert Noland & William Cowart, 2000. "Analysis of Metropolitan Highway Capacity and the growth in vehicle miles of travel," Transportation, Springer, vol. 27(4), pages 363-390, December.
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    3. Tho V. Le & Junyi Zhang & Makoto Chikaraishi & Akimasa Fujiwara, 2018. "Influence of introducing high speed railways on intercity travel behavior in Vietnam," Papers 1810.00155, arXiv.org.
    4. 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.
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    6. Yamaguchi, Hiromichi & Nakayama, Shoichiro, 2020. "Detection of base travel groups with different sensitivities to new high-speed rail services: Non-negative tensor decomposition approach," Transport Policy, Elsevier, vol. 97(C), pages 37-46.
    7. Bera, Reema & Maitra, Bhargab, 2021. "Assessing consumer preferences for Plug-in Hybrid Electric Vehicle (PHEV): An Indian perspective," Research in Transportation Economics, Elsevier, vol. 90(C).
    8. Lewe, J.-H. & Hivin, L.F. & Mavris, D.N., 2014. "A multi-paradigm approach to system dynamics modeling of intercity transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 188-202.
    9. Román, Concepción & Martín, Juan Carlos & Espino, Raquel & Cherchi, Elisabetta & Ortúzar, Juan de Dios & Rizzi, Luis Ignacio & González, Rosa Marina & Amador, Francisco Javier, 2014. "Valuation of travel time savings for intercity travel: The Madrid-Barcelona corridor," Transport Policy, Elsevier, vol. 36(C), pages 105-117.
    10. Li, Xiaowei & Tang, Junqing & Hu, Xiaojiao & Wang, Wei, 2020. "Assessing intercity multimodal choice behavior in a Touristy City: A factor analysis," Journal of Transport Geography, Elsevier, vol. 86(C).
    11. Li, Zhi-Chun & Sheng, Dian, 2016. "Forecasting passenger travel demand for air and high-speed rail integration service: A case study of Beijing-Guangzhou corridor, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 397-410.
    12. Chang-jun Cai & En-jian Yao & Sha-sha Liu & Yong-sheng Zhang & Jun Liu, 2015. "Holiday Destination Choice Behavior Analysis Based on AFC Data of Urban Rail Transit," Discrete Dynamics in Nature and Society, Hindawi, vol. 2015, pages 1-7, February.
    13. Nakagawa, Dai & Hatoko, Masatoshi, 2007. "Reevaluation of Japanese high-speed rail construction: Recent situation of the north corridor Shinkansen and its way to completion," Transport Policy, Elsevier, vol. 14(2), pages 150-164, March.
    14. Jin, Fanglei & An, Kun & Yao, Enjian, 2020. "Mode choice analysis in urban transport with shared battery electric vehicles: A stated-preference case study in Beijing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 95-108.
    15. Tho V. Le & Junyi Zhang & Makoto Chikaraishi & Akimasa Fujiwara, 2018. "Influence of High-Speed Railway System on Inter-city Travel Behavior in Vietnam," Papers 1812.04184, arXiv.org.
    16. Carrillo Murillo, David Guillermo & Liedtke, Gernot, 2013. "A model for the formation of colloidal structures in freight transportation: The case of hinterland terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 55-70.
    17. Marti-Henneberg, Jordi, 2015. "Attracting travellers to the high-speed train: a methodology for comparing potential demand between stations," Journal of Transport Geography, Elsevier, vol. 42(C), pages 145-156.
    18. Li, Xun & Gong, Jian & Gao, Baojun & Yuan, Peiwen, 2021. "Impacts of COVID-19 on tourists' destination preferences: Evidence from China," Annals of Tourism Research, Elsevier, vol. 90(C).
    19. Tapiador, Francisco J. & Burckhart, Kerstin & Martí-Henneberg, Jordi, 2009. "Characterizing European high speed train stations using intermodal time and entropy metrics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(2), pages 197-208, February.
    20. Shi, Yuji & Blainey, Simon & Sun, Chao & Jing, Peng, 2020. "A literature review on accessibility using bibliometric analysis techniques," Journal of Transport Geography, Elsevier, vol. 87(C).
    21. Zhang, Fangni & Graham, Daniel J. & Wong, Mark Siu Chun, 2018. "Quantifying the substitutability and complementarity between high-speed rail and air transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 191-215.
    22. Espinosa-Aranda, José Luis & García-Ródenas, Ricardo & Ramírez-Flores, María del Carmen & López-García, María Luz & Angulo, Eusebio, 2015. "High-speed railway scheduling based on user preferences," European Journal of Operational Research, Elsevier, vol. 246(3), pages 772-786.

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