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On parents' choice of the school travel mode during the COVID-19 pandemic.
Zhang, Shuang; Jing, Peng; Yuan, Daibiao; Yang, Chenlu.
  • Zhang S; School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212000, China.
  • Jing P; School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212000, China.
  • Yuan D; School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212000, China.
  • Yang C; School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212000, China.
Math Biosci Eng ; 19(9): 9412-9436, 2022 06 28.
Article in English | MEDLINE | ID: covidwho-1939113
ABSTRACT
Based on the theory of planned behavior (TPB) and the protection motivation theory (PMT), this study examines the factors that influence parental choice of school travel mode during COVID-19. Structural equation modeling (SEM) and a hybrid choice model (HCM) are used to analyze this decision-making process. The results show that trust, perceived severity, perceived vulnerability, perceived built environment, attitude, subjective norm, and perceived behavioral control are significant factors. Perceived severity, perceived vulnerability, and the evaluation of pandemic risk, significantly impact the choice of public transit and private car, but not walking. Perceived built environment is the most critical factor influencing the choice of walking. The results provide a theoretical basis and reference for relevant government departments to formulate policies and measures during COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: Math Biosci Eng Year: 2022 Document Type: Article Affiliation country: Mbe.2022438

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: Math Biosci Eng Year: 2022 Document Type: Article Affiliation country: Mbe.2022438