Detection of base travel groups with different sensitivities to new high-speed rail services: Non-negative tensor decomposition approach
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DOI: 10.1016/j.tranpol.2020.07.012
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Cited by:
- Yamaguchi, Hiromichi & Nakayama, Shoichiro, 2023. "Pattern analysis of Japanese long-distance travel change under the COVID-19 pandemic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
- Dantsuji, Takao & Sugishita, Kashin & Fukuda, Daisuke, 2023. "Understanding changes in travel patterns during the COVID-19 outbreak in the three major metropolitan areas of Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
- Liu, Shasha & Yamamoto, Toshiyuki, 2022. "Role of stay-at-home requests and travel restrictions in preventing the spread of COVID-19 in Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 1-16.
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Keywords
High-speed rail; Long-distance travel; Non-negative tensor factorization (NTF); Mobile-phone location data;All these keywords.
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