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Does COVID-19 affect metro use in Taipei?

Author

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  • Chang, Hung-Hao
  • Lee, Brian
  • Yang, Feng-An
  • Liou, Yu-You

Abstract

This paper provides the first evidence of the causal effect of COVID-19 on metro use using real-time data from the Taipei Metro System in Taiwan. In contrast to other cities or countries, Taiwan did not enforce strict social lockdowns or mandatory stay-at-home orders to combat COVID-19. The major prevention strategies to the pandemic in Taiwan include promoting social distancing, mandating the wearing of face masks in public areas, and requiring all international arrivals to quarantine for 14 days. Using administrative data on confirmed cases of COVID-19 and ridership from metro stations with the difference-in-differences model, we find that an additional new confirmed case of COVID-19 reduces metro use by 1.43% after controlling for local socio-demographic variables associated with ridership and the number of international arrivals to Taiwan. This result implies that the reduction in metro trips is attributable to decreases in residents' use of public transportation due to perceived health risks. Furthermore, the effect of COVID-19 on metro use disproportionally impacts stations with different characteristics. The effect is more pronounced for metro stations connected to night markets, shopping centers, or colleges. Although decreases in metro ridership lower the revenue of the Taipei Metro System, our results indicate a tradeoff between increased financial burdens of public transportation systems and reducing medical expenses associated with COVID-19.

Suggested Citation

  • Chang, Hung-Hao & Lee, Brian & Yang, Feng-An & Liou, Yu-You, 2021. "Does COVID-19 affect metro use in Taipei?," Journal of Transport Geography, Elsevier, vol. 91(C).
  • Handle: RePEc:eee:jotrge:v:91:y:2021:i:c:s0966692321000077
    DOI: 10.1016/j.jtrangeo.2021.102954
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    References listed on IDEAS

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    Cited by:

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    2. Arif Budiarto & Nur Shalin Abdi & Dimas Bayu Endrayana Dharmowijoyo & Nursitihazlin Ahmad Termida & Basil David Daniel & Nur Sabahiah Abdul Sukor & Liza Evianti Tanjung, 2022. "Effects of Changes in Discretionary Trips and Online Activities on Social and Mental Health during Two Different Phases of the COVID-19 Pandemic in Malaysia," Sustainability, MDPI, vol. 14(21), pages 1-24, October.
    3. Xin, Mengwei & Shalaby, Amer & Feng, Shumin & Zhao, Hu, 2021. "Impacts of COVID-19 on urban rail transit ridership using the Synthetic Control Method," Transport Policy, Elsevier, vol. 111(C), pages 1-16.
    4. Kim, Suji & Lee, Sujin & Ko, Eunjeong & Jang, Kitae & Yeo, Jiho, 2021. "Changes in car and bus usage amid the COVID-19 pandemic: Relationship with land use and land price," Journal of Transport Geography, Elsevier, vol. 96(C).
    5. Jiang, Shixiong & Cai, Canhuang, 2022. "Unraveling the dynamic impacts of COVID-19 on metro ridership: An empirical analysis of Beijing and Shanghai, China," Transport Policy, Elsevier, vol. 127(C), pages 158-170.
    6. Zhang, Qinran & Yang, Haoran, 2022. "Geovisualizing the changes in metro passenger flows of Kunming under the impact of COVID-19," Journal of Transport Geography, Elsevier, vol. 104(C).
    7. Varameth Vichiensan & Yoshitsugu Hayashi & Sudarat Kamnerdsap, 2021. "COVID-19 Countermeasures and Passengers’ Confidence of Urban Rail Travel in Bangkok," Sustainability, MDPI, vol. 13(16), pages 1-22, August.
    8. Chen, Tiantian & Fu, Xiaowen & Hensher, David A. & Li, Zhi-Chun & Sze, N.N., 2024. "Effects of proactive and reactive health control measures on public transport preferences of passengers – A stated preference study during the COVID-19 pandemic," Transport Policy, Elsevier, vol. 146(C), pages 175-192.
    9. Cho, Jung-Hoon & Kim, Dong-Kyu & Kim, Eui-Jin, 2022. "Multi-scale causality analysis between COVID-19 cases and mobility level using ensemble empirical mode decomposition and causal decomposition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
    10. Wang, Yufei & Hua, Mingzhuang & Chen, Xuewu & Chen, Wendong, 2023. "Sustainable response strategy for COVID-19: Pandemic zoning with urban multimodal transport data," Journal of Transport Geography, Elsevier, vol. 110(C).

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