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Crowding perception predicts subway passengers' behavioral decision making during COVID-19 via risk awareness and safety perception
Social Behavior & Personality: an international journal ; 50(1):1-13, 2022.
Article in English | Academic Search Complete | ID: covidwho-1630811
ABSTRACT
We studied the prediction mechanism of the effects of the crowding perception, risk awareness, and safety perception of subway passengers on their behavioral decision making in the context of COVID-19 as a public health safety crisis. We conducted a survey of 305 subway passengers in Zhejiang Province, China, and used structural equation modeling for data analysis. The results show that the crowding perception of the passengers did not directly predict their behavioral decision making. Rather, risk awareness and safety perception played a chain mediating role between the crowding perception and behavioral decision making of passengers. We further explored the theoretical and practical implications of our findings. [ FROM AUTHOR] Copyright of Social Behavior & Personality an international journal is the property of Society for Personality Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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Full text: Available Collection: Databases of international organizations Database: Academic Search Complete Type of study: Prognostic study Language: English Journal: Social Behavior & Personality: an international journal Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Academic Search Complete Type of study: Prognostic study Language: English Journal: Social Behavior & Personality: an international journal Year: 2022 Document Type: Article