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Temporal transferability of updated alternative-specific constants in disaggregate mode choice models

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  • Nobuhiro Sanko
  • Takayuki Morikawa

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  • Nobuhiro Sanko & Takayuki Morikawa, 2010. "Temporal transferability of updated alternative-specific constants in disaggregate mode choice models," Transportation, Springer, vol. 37(2), pages 203-219, March.
  • Handle: RePEc:kap:transp:v:37:y:2010:i:2:p:203-219
    DOI: 10.1007/s11116-009-9252-6
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    References listed on IDEAS

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    1. McCarthy, Patrick S., 1982. "Further evidence on the temporal stability of disaggregate travel demand models," Transportation Research Part B: Methodological, Elsevier, vol. 16(4), pages 263-278, August.
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    Cited by:

    1. Sanko, Nobuhiro & Morikawa, Takayuki & Nagamatsu, Yoshitaka, 2013. "Post-project evaluation of travel demand forecasts: Implications from the case of a Japanese railway," Transport Policy, Elsevier, vol. 27(C), pages 209-218.
    2. Maruyama, Takuya & Fukahori, Tatsuya, 2020. "Households with every member out-of-home (HEMO): Comparison using the 1984, 1997, and 2012 household travel surveys in Kumamoto, Japan," Journal of Transport Geography, Elsevier, vol. 82(C).
    3. Franco Chingcuanco & Eric Miller, 2014. "A meta-model of vehicle ownership choice parameters," Transportation, Springer, vol. 41(5), pages 923-945, September.
    4. Chenfeng Xiong & Di Yang & Jiaqi Ma & Xiqun Chen & Lei Zhang, 2020. "Measuring and enhancing the transferability of hidden Markov models for dynamic travel behavioral analysis," Transportation, Springer, vol. 47(2), pages 585-605, April.
    5. Vij, Akshay & Gorripaty, Sreeta & Walker, Joan L., 2017. "From trend spotting to trend ’splaining: Understanding modal preference shifts in the San Francisco Bay Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 238-258.
    6. Habib, Khandker M. Nurul & Swait, Joffre & Salem, Sarah, 2014. "Using repeated cross-sectional travel surveys to enhance forecasting robustness: Accounting for changing mode preferences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 110-126.
    7. Nobuhiro Sanko, 2014. "Travel demand forecasts improved by using cross-sectional data from multiple time points," Transportation, Springer, vol. 41(4), pages 673-695, July.

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