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Analysis of Taxi Travels during an Epidemic Period Using System Dynamics Method

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  • Hui Yao

    (Faculty of Maritime and Transportation, Ningbo University, Ningbo 315832, China
    Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing 211189, China
    National Traffic Management Engineering & Technology Research Centre Ningbo University Sub-Centre, Ningbo 315832, China)

  • Zhengfeng Huang

    (Faculty of Maritime and Transportation, Ningbo University, Ningbo 315832, China
    Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing 211189, China
    National Traffic Management Engineering & Technology Research Centre Ningbo University Sub-Centre, Ningbo 315832, China)

  • Xiaofei Ye

    (Faculty of Maritime and Transportation, Ningbo University, Ningbo 315832, China
    Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing 211189, China
    National Traffic Management Engineering & Technology Research Centre Ningbo University Sub-Centre, Ningbo 315832, China)

  • Manel Grifoll

    (Department of Civil and Environmental Engineering, Universitat Politècnica de Catalunya (UPC-BarcelonaTech), 08003 Barcelona, Spain)

  • Guiyun Liu

    (Faculty of Maritime and Transportation, Ningbo University, Ningbo 315832, China
    Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing 211189, China
    National Traffic Management Engineering & Technology Research Centre Ningbo University Sub-Centre, Ningbo 315832, China)

  • Pengjun Zheng

    (Faculty of Maritime and Transportation, Ningbo University, Ningbo 315832, China
    Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing 211189, China
    National Traffic Management Engineering & Technology Research Centre Ningbo University Sub-Centre, Ningbo 315832, China)

Abstract

This paper explores the factors influencing taxi travel in the context of COVID-19 from both demand and supply sides and provides a quantitative comparison of taxi travel characteristics and taxi industry operations before and after the epidemic. A model was established using system dynamics to simulate a taxi travel system, which was used to analyze the changes in demand and supply of taxi travel under scenarios such as closedowns, travel restrictions, etc. The analysis is based on a typical middle-sized city in China, Ningbo in Zhejiang Province, revealing factors leading to the significant drop in the amount of taxi travel due to the epidemic. The study can provide insights into impacts of public (or similar anomalous or catastrophic) events on taxi travel systems and could be useful for urban transport planning and management.

Suggested Citation

  • Hui Yao & Zhengfeng Huang & Xiaofei Ye & Manel Grifoll & Guiyun Liu & Pengjun Zheng, 2022. "Analysis of Taxi Travels during an Epidemic Period Using System Dynamics Method," Sustainability, MDPI, vol. 14(6), pages 1-14, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:6:p:3457-:d:771984
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    References listed on IDEAS

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