The Renaissance of Transit and Ridesharing: From Pandemic Towards the New Normal

19 Pages Posted: 24 Aug 2022

See all articles by Peng Chen

Peng Chen

University of South Florida

Xiankui Yang

University of South Florida

Yu Zhang

University of South Florida

Songhua Hu

University of Maryland

Abstract

The coronavirus pandemic significantly impacts transit and ridesharing usage. This study corrects sampling biases and compares differences in transit and ridesharing usage between during-COVID and post-COVID. The results show (1) transit and ridesharing usage reduction significantly varied across cities; (2) Black and elderly people did not reduce transit and ridesharing usage during-COVID; (3) Hispanics, Asians, females, educated, high-income, employees from public sectors, and people who were willing to receive vaccines reduced transit and ridesharing usage post-COVID in 2021; (4) individuals with more children or individuals with more expenditure difficulties did not reduce transit and ridesharing usage post-COVID in 2021. For policy implications, attention and additional help should be given to Black, the elderly, households with more children, and individuals with more expenditure difficulties. Education and promotion strategies should be placed on females, Hispanics, Asians, educated, high-income, and employees working in public sectors, to accelerate the renaissance of transit and ridesharing.

Keywords: Transit and ridesharing, sampling bias, social equity, recovery planning, COVID

Suggested Citation

Chen, Peng and Yang, Xiankui and Zhang, Yu and Hu, Songhua, The Renaissance of Transit and Ridesharing: From Pandemic Towards the New Normal. Available at SSRN: https://ssrn.com/abstract=4175962 or http://dx.doi.org/10.2139/ssrn.4175962

Peng Chen (Contact Author)

University of South Florida ( email )

Tampa, FL 33620
United States

Xiankui Yang

University of South Florida ( email )

Tampa, FL 33620
United States

Yu Zhang

University of South Florida ( email )

Tampa, FL 33620
United States

Songhua Hu

University of Maryland ( email )

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