考虑心理因素的旅游景区停车泊位预约选择行为研究
Research on Tourist Parking Reservation Behavior in Tourism Attractions Considering Psychological Factors
关宏志 1张春晖 1韩艳2
作者信息
- 1. 北京工业大学 城市建设学部,北京 100124;桥梁工程安全与韧性全国重点实验室,北京 100124
- 2. 北京工业大学 城市建设学部,北京 100124;交通工程北京市重点实验室,北京 100124
- 折叠
摘要
以自驾前往景区的游客为研究对象,基于计划行为理论,研究心理潜变量对其预约停车位意向的影响机理.在行为模型中引入感知风险变量,构建景区游客停车预约参与意向的结构方程模型,探究态度、主观规范、知觉行为控制及感知风险对游客预约停车行为意向的影响,利用问卷调查数据进行实证分析.研究结果表明,态度、主观规范、知觉行为控制和感知风险对游客参与景区停车位预约的意向影响显著,其中态度变量是关键因素且影响最大,感知风险对游客参与景区停车泊位预约的意向有显著负效应.研究结果可为景区停车泊位预约机制的制定及完善提供参考依据.
Abstract
The reservation mechanism for parking spaces in tourist areas is considered an effective means to al-leviate road congestion,reduce tourist parking search time and enhance their overall visitor experience.Psy-chological factors are recognized as influential determinants in the decision-making process of the car travel-ers.This study,focused on the tourists who drove to tourist destinations,employed the theory of planned be-havior to investigate the impact mechanisms of psychological latent variables on their intention to reserve park-ing spaces.The perceived risk variable was introduced into the behavior model,and a structural equation model for tourist intentions to participate in parking reservations at tourist destinations was constructed.The in-fluence of attitude,subjective norm,perceived behavioral control and perceived risk on tourist intention to re-serve parking spaces was explored through empirical analysis based on questionnaire survey data.The research findings indicate that attitude,subjective norm,perceived behavioral control and perceived risk all have signif-icant effects on the tourist intention to reserve parking spaces,with attitude being the most crucial and influen-tial factor.Perceived risk exhibits a significant negative impact on tourist intention to participate in parking reservations at tourist destinations.This study provides valuable insights for the development and enhancement of parking space reservation mechanisms in tourist areas.
关键词
交通工程/选择行为/结构方程模型/泊位预约Key words
traffic engineering/choice behavior/structural equation model/parking reservation引用本文复制引用
基金项目
国家自然科学基金资助项目(71971005)
出版年
2024
NETL
NSTL
万方数据