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Adaptation patterns to high speed rail usage in Taiwan and China

Author

Listed:
  • Yeun-Touh Li

    (Kyoto University)

  • Jan-Dirk Schmöcker

    (Kyoto University)

Abstract

Understanding the gradual changes in travel behavior over time is essential to comprehending travelers’ adaptation process to new infrastructure. However, capturing cause and effect relationships in long-term travel behavior patterns is generally difficult to obtain even with panel data. This paper proposes a different data collection methodology, which aims at analyzing specifically the gradual changes of travel behavior. As a case study we analyze the usage of high speed rail in Taiwan and China over the last 8 years. By developing ten graphical long-term usage patterns with detailed usage descriptions, the behavioral dynamics of our sample could be captured and to some degree explained. Our results indicate that nearly all respondents can identify with one of the pattern. A comparison between stated usage frequency and our patterns illustrates further the additional information we obtain compared to “traditional” surveys. Analysis of the causes for usage changes further illustrates some marked differences between reasons for initial usage uptake (among others personality related factors), gradual usage increases (particularly service quality) and usage reductions (such as life events).

Suggested Citation

  • Yeun-Touh Li & Jan-Dirk Schmöcker, 2017. "Adaptation patterns to high speed rail usage in Taiwan and China," Transportation, Springer, vol. 44(4), pages 807-830, July.
  • Handle: RePEc:kap:transp:v:44:y:2017:i:4:d:10.1007_s11116-016-9679-5
    DOI: 10.1007/s11116-016-9679-5
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    References listed on IDEAS

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    1. Goulias, Konstadinos G., 1999. "Longitudinal analysis of activity and travel pattern dynamics using generalized mixed Markov latent class models," Transportation Research Part B: Methodological, Elsevier, vol. 33(8), pages 535-558, November.
    2. Jim Giles, 2012. "Computational social science: Making the links," Nature, Nature, vol. 488(7412), pages 448-450, August.
    3. Cheng Hsiao, 2007. "Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 1-22, May.
    4. Cheng, Yung-Hsiang, 2010. "High-speed rail in Taiwan: New experience and issues for future development," Transport Policy, Elsevier, vol. 17(2), pages 51-63, March.
    5. Kitamura, Ryuichi, 1990. "Panel Analysis in Transportation Planning: An Overview," University of California Transportation Center, Working Papers qt86v0f7zh, University of California Transportation Center.
    6. Kroesen, Maarten, 2014. "Modeling the behavioral determinants of travel behavior: An application of latent transition analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 65(C), pages 56-67.
    7. Cheng Hsiao, 2007. "Rejoinder on: Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 56-57, May.
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    Cited by:

    1. Wang, Kun & Xia, Wenyi & Zhang, Anming & Zhang, Qiong, 2018. "Effects of train speed on airline demand and price: Theory and empirical evidence from a natural experiment," Transportation Research Part B: Methodological, Elsevier, vol. 114(C), pages 99-130.
    2. Peiwen Zhang & Rui Ding & Wenke Zhao & Liaodong Zhang & Hong Sun, 2022. "Passenger Travel Path Selection Based on the Characteristic Value of Transport Services," Sustainability, MDPI, vol. 15(1), pages 1-15, December.
    3. Llorca, Carlos & Ji, Joanna & Molloy, Joseph & Moeckel, Rolf, 2018. "The usage of location based big data and trip planning services for the estimation of a long-distance travel demand model. Predicting the impacts of a new high speed rail corridor," Research in Transportation Economics, Elsevier, vol. 72(C), pages 27-36.

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