Behavioral Intentions of Urban Rail Transit Passengers during the COVID-19 Pandemic in Tianjin, China: A Model Integrating the Theory of Planned Behavior and Customer Satisfaction Theory

Behavioral Intentions of Urban Rail Transit Passengers during the COVID-19 Pandemic in Tianjin, China: A Model Integrating the Theory of Planned Behavior and Customer Satisfaction Theory
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DOI:
10.1155/2021/8793101
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发表时间:
2021-12
影响因子:
2.3
通讯作者:
Xinyuan Zhang;Diyi Liu;Yuning Wang;Huibin Du
Xinyuan Zhang;Diyi Liu;Yuning Wang;Huibin Du
中科院分区:
工程技术4区
文献类型:
--
作者:
Xinyuan Zhang;Diyi Liu;Yuning Wang;Huibin Du

文献摘要

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了解公共交通乘客在COVID-19大流行期间的行为意图对于针对公共交通系统出行行为的传播控制干预非常重要。本文研究了乘客使用公共交通工具的意愿、一系列心理变量与COVID-19下交通管理政策(POL)影响之间的关系。具体而言,本研究提出了一个框架,整合了计划行为(TPB)和客户满意度(CS)理论,并使用偏最小二乘结构方程模型(PLS-SEM)应用于983居民的调查响应,天津,中国。实证结果证实了几个假设的心理变量之间的关系研究,支持这种综合模型的有效性公共交通使用意愿。此外,COVID-19下的POLs主要通过主观规范(SN),感知行为控制(PBC),感知服务质量(PSQ)和CS来增强通勤者的意图。这些发现揭示了乘客在COVID-19期间调整公共交通出行意愿的心理机制。根据研究结果,我们提出了一些可行的建议,以帮助恢复公众对疫情后公共交通的信心。
Understanding the behavioral intentions of public transit passengers during the COVID-19 pandemic is important for transmission control interventions oriented towards public transport system travel behavior. This paper studies the relationship between passengers’ intentions to use public transport, a set of psychological variables, and the influence of transport management policies (POLs) under COVID-19. Specifically, this study presents a framework integrating the theory of planned behavior (TPB) and customer satisfaction (CS) theory and uses partial least squares structural equation modeling (PLS-SEM) applied to the survey responses of 983 residents of Tianjin, China. The empirical results support the validity of this integrated model of public transit use intentions by confirming several hypothesized relationships among the psychological variables studied. Moreover, POLs under COVID-19 are shown to enhance commuters’ intentions primarily via subjective norms (SNs), perceived behavioral control (PBC), perceived service quality (PSQ), and CS. These findings reveal the psychological mechanism through which passengers adjust their public transport travel intentions during the COVID-19 period. Based on the results, some feasible suggestions are proposed to help restore confidence in public transport after the pandemic.