Who continued travelling by bus in different periods of COVID-19? A data-driven analysis from Shanghai, China

The COVID-19 pandemic has caused unprecedented disruptions to individual travel behavior in the public transport (PT) system. To attract more travelers to use PT in the post-pandemic era, it is necessary to understand the heterogeneity of travel behavior changes among various user segments and across different pandemic periods. This paper presents a two-step analysis framework for discovering the inter-segment and intra-segment changes in travel patterns of PT users based on ticketing data. The framework is then applied to the case of Jiading bus transit in Shanghai, China during the COVID-19 pandemic in 2022. The results suggest that commuters are more vulnerable to the impacts of the pandemic than non-commuters, with a considerable tendency to give up commuting by bus or even permanently discontinue bus usage after the lockdown in Shanghai. Only 17.7% of bus users maintain their travel patterns after the lockdown, with a few observable sub-segments of users comprising students and employees. The findings in this study aid PT operators in achieving a better recovery in the post-pandemic era and enhance their preparedness to tackle challenges in demand management for potential crises.

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Publication Details

Journal
PLoS ONE
Published
2025-09-03
DOI
https://doi.org/10.1371/journal.pone.0328700
Primary Topic
Human Mobility and Location-Based Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Who continued travelling by bus in different periods of COVID-19? A data-driven analysis from Shanghai, China

Yuchuan Du, Yu Shen, Yuxiong Ji, Weihan Bi
PLoS ONE
Human Mobility and Location-Based Analysis
article

Who continued travelling by bus in different periods of COVID-19? A data-driven analysis from Shanghai, China

Yuchuan Du, Yu Shen, Yuxiong Ji, Weihan Bi
article en

Abstract

The COVID-19 pandemic has caused unprecedented disruptions to individual travel behavior in the public transport (PT) system. To attract more travelers to use PT in the post-pandemic era, it is necessary to understand the heterogeneity of travel behavior changes among various user segments and across different pandemic periods. This paper presents a two-step analysis framework for discovering the inter-segment and intra-segment changes in travel patterns of PT users based on ticketing data. The framework is then applied to the case of Jiading bus transit in Shanghai, China during the COVID-19 pandemic in 2022. The results suggest that commuters are more vulnerable to the impacts of the pandemic than non-commuters, with a considerable tendency to give up commuting by bus or even permanently discontinue bus usage after the lockdown in Shanghai. Only 17.7% of bus users maintain their travel patterns after the lockdown, with a few observable sub-segments of users comprising students and employees. The findings in this study aid PT operators in achieving a better recovery in the post-pandemic era and enhance their preparedness to tackle challenges in demand management for potential crises.

PLoS ONEVol. 20(9)
Tongji University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 76%
Human Mobility and Location-Based Analysis
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