College of Management and Economics, Tianjin University, Tianjin, China.
Laboratory of Computation and Analytics of Complex Management Systems (CACMS), Tianjin University, Tianjin, China.
Front Public Health. 2023 Jan 26;10:1097885. doi: 10.3389/fpubh.2022.1097885. eCollection 2022.
This study aimed to explore the factors influencing people's utilization of ride-hailing services, particularly in the context of the COVID-19 pandemic.
A two-stage survey was conducted among the same group of passengers pre and post COVID-19 pandemic, resulting in a total of 670 valid samples. Exploratory factor analysis (EFA) was applied to the data, followed by the ordered probit and ordered logit models to identify the motivational factors behind passengers' frequency of using ride-hailing.
The findings indicated that trust and loyalty were the most influential factors in determining passengers' frequency of using ride-hailing services. However, passengers' perception of the COVID-19 pandemic did not have a significant effect on the frequency of using ride-hailing.
This research provides empirical evidence and policy implications for understanding people's usage of the ride-hailing services in the context of public-health emergency.
本研究旨在探讨影响人们使用叫车服务的因素，特别是在 COVID-19 大流行背景下。
在 COVID-19 大流行前后，对同一组乘客进行了两阶段调查，共获得 670 份有效样本。对数据进行探索性因子分析（EFA），然后使用有序概率和有序逻辑回归模型来确定乘客使用叫车服务频率的动机因素。
研究结果表明，信任和忠诚度是决定乘客使用叫车服务频率的最主要因素。然而，乘客对 COVID-19 大流行的看法对使用叫车服务的频率没有显著影响。
本研究为理解人们在公共卫生紧急情况下对叫车服务的使用提供了实证证据和政策启示。
