Ma Xinwei, Zhang Shuai, Zhu Minqing, Wu Tao, He Mingjia, Cui Hongjun
School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin 300401, China.
School of Architecture and Art Design, Hebei University of Technology, Tianjin 300401, China.
Cities. 2023 Jun;137:104341. doi: 10.1016/j.cities.2023.104341. Epub 2023 Apr 24.
Non-commuting travel is essential for people to meet daily demands and regulate mental health, which is greatly disrupted due to the COVID-19 pandemic. To explore non-commuting intentions during COVID-19 across different groups of residents, this paper uses online survey data in Nanjing and constructs a hybrid latent class choice model that combines sociodemographic characteristics and psychological factors. Results showed that the respondents can be divided into two groups: the "cautious" group versus the "fearless" group. The "cautious" group with lower willingness to travel tend to be older, higher-income, higher-educated, female and full-time employees. Furthermore, the "cautious" group with higher perceived susceptibility is more obedient to government policies. In contrast, the "fearless" group is significantly affected by perceived severity and is more inclined to turn to personal protection against the pandemic. These results suggested that non-commuting trips were influenced not only by individual characteristics but also by psychological factors. Finally, the paper provides implications for the government to formulate COVID-19 management measures for the heterogeneity of different groups.
非通勤出行对于人们满足日常需求和调节心理健康至关重要，但由于新冠疫情，这一出行活动受到了极大干扰。为探究新冠疫情期间不同居民群体的非通勤意愿，本文利用南京的在线调查数据，构建了一个结合社会人口特征和心理因素的混合潜在类别选择模型。结果显示，受访者可分为两组：“谨慎”组和“无畏”组。出行意愿较低的“谨慎”组往往年龄较大、收入较高、受教育程度较高、为女性且是全职员工。此外，感知易感性较高的“谨慎”组更服从政府政策。相比之下，“无畏”组受感知严重性的影响显著，更倾向于采取个人防护措施应对疫情。这些结果表明，非通勤出行不仅受到个体特征的影响，还受到心理因素的影响。最后，本文为政府针对不同群体的异质性制定新冠疫情管理措施提供了启示。
