考虑感知疲劳的货车服务区停车行为选择模型

doi:10.16097/j.cnki.1009-6744.2025.06.026

交通运输系统工程与信息 ›› 2025, Vol. 25 ›› Issue (6): 285-293.DOI: 10.16097/j.cnki.1009-6744.2025.06.026

考虑感知疲劳的货车服务区停车行为选择模型

覃文文^1a,1b，赛锦鸿^1a，戢晓峰^1a,1b，吉选²，陈方^1b ，李武^*1a,1b

1. 昆明理工大学，a.交通工程学院，b.云南省现代物流工程研究中心，昆明650500； 2. 云南建设基础设施投资股份有限公司运营分公司，云南红河654412

收稿日期:2024-08-26 修回日期:2024-09-30 接受日期:2024-10-18 出版日期:2025-12-25 发布日期:2025-12-24
作者简介:覃文文(1986—)，男，广西柳州人，讲师，博士。
基金资助:
国家自然科学基金 (72461015)；云南省重大科技专项计划项目 (202502AD080006)；云南省研究生导师团队建设项目(2024)

Truck Service Area Parking Selection Behavior Modeling Considering Perceived Fatigue

QIN Wenwen^1a,1b, SAI Jinhong^1a, JI Xiaofeng^1a,1b, JI Xuan², CHEN Fang^1b, LI Wu^*1a,1b

1a. School of Transportation Engineering, 1b. Yunnan Modern Logistics Engineering Research Center, Kunming University of Science and Technology, Kunming 650500, China; 2. Operation Branch of Yunnan Construction Infrastructure Investment Company Limited, Honghe 654412, Yunnan, China

Received:2024-08-26 Revised:2024-09-30 Accepted:2024-10-18 Online:2025-12-25 Published:2025-12-24
Supported by:
National Natural Science Foundation of China (72461015)；Major Science and Technology Special Projects of Yunnan Province (202502AD080006)；Yunnan Postgraduate Supervisor Team Construction Project (2024)

摘要/Abstract

摘要： 为解析影响货车服务区停车选择行为的关键因素及其作用路径，构建考虑感知疲劳的货车服务区停车行为选择模型。首先，基于计划行为理论，选取停车态度、停车行为意向和停车行为3个潜变量作为基本模型A；然后，引入泊位偏好和服务区信息透明度潜变量，构建货车服务区停车行为选择的初始模型B和增加感知疲劳的扩展模型C；最后，将模型运用于云南省实例，回收有效问卷320份。通过偏最小二乘结构方程方法，验证建立的3个货车服务区停车行为选择模型。结果表明：新增感知疲劳变量的扩展模型C可提升货车服务区停车行为选择模型的适配度和解释性；扩展模型C的适配度相较于基础模型A提高了26.53%，相较于初始模型B提高了8.16%；停车行为意向与泊位偏好是货车服务区停车选择行为最主要的影响因素；停车态度和服务区信息透明度通过影响停车行为意向与泊位偏好，间接影响停车行为；感知疲劳也会通过影响停车态度间接作用于停车行为意向。

关键词: 公路运输, 停车行为选择, 偏最小二乘结构方程模型, 货车驾驶人, 计划行为理论

Abstract: To analyze the key factors influencing truck drivers' parking behavior in service areas and their underlying mechanisms, a model for truck parking behavior selection in service areas was developed with emphasis on incorporating drivers' perceived fatigue. First, based on the Theory of Planned Behavior, three latent variables—parking attitude, parking behavior intention, and parking behavior—were selected as the basic model A. Then, latent variables for parking space preference and service area information transparency were introduced to construct the initial model B and the extended model C incorporating perceived fatigue for truck parking behavior selection in service areas. Finally, the model was applied to a case study in Yunnan Province, yielding 320 valid questionnaires. Using partial least squares structural equation modeling, the three trucks service area parking behavior selection models were validated. The results indicate that the expanded model C, which incorporates the perceived fatigue variable, improves the model's fit and explanatory power. Besides, the fit of model C is 26.53% higher than that of the basic model A and 8.16% higher than that of the initial model B. Parking behavior intention and parking space preference are the most significant factors influencing truck service area parking behavior selection. In particular, parking attitude and service area information transparency indirectly influence parking behavior by affecting parking behavior intention and parking space preference. Perceived fatigue also indirectly influences parking behavior intention by affecting parking attitude.

Key words: highway transportation, parking behavior selection, partial least squares structural equation model, truck driver, theory of planned behavior

中图分类号:

U491.1+22

覃文文, 赛锦鸿, 戢晓峰, 吉选, 陈方, 李武. 考虑感知疲劳的货车服务区停车行为选择模型[J]. 交通运输系统工程与信息, 2025, 25(6): 285-293.

QIN Wenwen, SAI Jinhong, JI Xiaofeng, JI Xuan, CHEN Fang, LI Wu. Truck Service Area Parking Selection Behavior Modeling Considering Perceived Fatigue[J]. Journal of Transportation Systems Engineering and Information Technology, 2025, 25(6): 285-293.

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考虑感知疲劳的货车服务区停车行为选择模型

Truck Service Area Parking Selection Behavior Modeling Considering Perceived Fatigue

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