School of Civil Engineering, Xi'an University of Architecture and Technology, Xi'an, China.
Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing, China.
Front Public Health. 2022 Dec 15;10:1046922. doi: 10.3389/fpubh.2022.1046922. eCollection 2022.
The travel mood perception can significantly affect passengers' mental health and their overall emotional wellbeing when taking transport services, especially in long-distance intercity travels. To explore the key factors influencing intercity travel moods, a field survey was conducted in Xi'an to collect passengers' individual habits, travel characteristics, moods, and weather conditions. Travel mood was defined using the 5-Likert scale, based on degrees of happiness, panic, anxiety, and tiredness. A support vector machine (SVM) and ordered logit model were used in tandem for determinant identification and exploring their respective influences on travel moods. The results showed that gender, age, occupation, personal monthly income, car ownership, external temperature, precipitation, relative humidity, air quality index, visibility, travel purposes, intercity travel mode, and intercity travel time were all salient influential variables. Specifically, intercity travel mode ranked the first in affecting panic and anxiety (38 and 39% importance, respectively); whereas occupation was the most important factor affecting happiness (23% importance). Moreover, temperature appeared as the most important influencing factor of tiredness (22% importance). These findings help better understand the emotional health of passengers in long-distance travel in China.
出行情绪感知在乘客使用交通服务，特别是长途城际出行时，会显著影响其心理健康和整体情绪幸福感。为了探究影响城际出行情绪的关键因素，我们在西安进行了实地调查，收集了乘客的个人习惯、出行特征、情绪和天气状况等数据。出行情绪采用 5 级李克特量表进行定义，基于快乐、恐慌、焦虑和疲倦的程度。本研究采用支持向量机（SVM）和有序逻辑回归模型相结合的方法进行了特征识别，并探讨了它们各自对出行情绪的影响。结果表明，性别、年龄、职业、个人月收入、汽车拥有情况、外部温度、降水、相对湿度、空气质量指数、能见度、出行目的、城际出行方式和城际出行时间都是显著的影响变量。具体来说，城际出行方式对恐慌和焦虑的影响最大（分别为 38%和 39%的重要性）；而职业是影响快乐感的最重要因素（重要性为 23%）。此外，温度是疲倦感最重要的影响因素（重要性为 22%）。这些发现有助于更好地了解中国长途旅行中乘客的情绪健康状况。
