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心理因素影响下游客节假日错峰旅游出行行为研究
引用本文:朱海燕,关宏志,韩艳,李婉莹,赵磊. 心理因素影响下游客节假日错峰旅游出行行为研究[J]. 交通运输系统工程与信息, 2001, 19(5): 225-230
作者姓名:朱海燕  关宏志  韩艳  李婉莹  赵磊
作者单位:1. 北京工业大学a. 建筑工程学院,b. 交通工程北京市重点实验室,北京 100124; 2. 青海民族大学交通学院,西宁 810007
基金项目:国家自然科学基金/National Natural Science Foundation of China(51338088,51378036).
摘    要:错峰出行是解决出行时间集中引起交通拥堵问题的重要措施. 本文以节假日游客错峰出行行为为研究对象,探究心理潜变量对其错峰出行意向及行为的影响机理. 基于计划行为理论,同时考虑节假日旅游满意度,构建节假日游客错峰旅游出行行为的结构方程模型. 定量研究了态度、主观规范、知觉行为控制、节假日旅游满意度4 个心理因素对游客节假日错峰旅游行为意向及行为的影响. 最后通过问卷调查数据进行了实例分析. 研究结果表明,4 个潜在变量对节假日错峰旅游出行行为意向具有显著影响,其中知觉行为控制是关键因素且影响最大,节假日旅游满意度对节假日错峰出行行为意向及行为有显著负向影响. 本研究可为节假日游客错峰旅游出行措施的制定提供参考依据.

关 键 词:交通工程  心理因素  结构方程模型  错峰出行  节假日旅游  
收稿时间:2019-05-14

Holiday Tourists' Staggered Shifts Behavior Considering Affection of Psychological Factors
ZHU Hai-yan,GUAN Hong-zhi,HAN Yan,LI Wan-ying,ZHAO Lei. Holiday Tourists' Staggered Shifts Behavior Considering Affection of Psychological Factors[J]. Journal of Transportation Systems Engineering and Information Technology, 2001, 19(5): 225-230
Authors:ZHU Hai-yan  GUAN Hong-zhi  HAN Yan  LI Wan-ying  ZHAO Lei
Affiliation:1.a. College of Architecture and Civil Engineering, 1b. Beijing Key Laboratory of Transportation Engineering, Beijing University of Technology, Beijing 100124, China; 2. School of Traffic, Qinghai Nationalities University, Xining 810007, China
Abstract:Staggered shifts is an important measure to solve the problem of traffic congestion caused by concentration of travel time. Based on the research object of holiday tourists' staggered shifts behavior, this paper explores the influence mechanism of psychological latent variables on holiday tourists' staggered shifts behavior intention. Considering the theory of planned behavior (TPB) and the holiday tourism satisfaction (HTS), the structural equation model (SEM) of holiday tourists' staggered shifts behavior was constructed. The influence of four psychological factors including tourists' attitude, subjective norms, perceived behavior control (PBC) and holiday tourism satisfaction on holiday tourists' staggered shifts behavior was quantitatively analyzed. Finally, a questionnaire survey was conducted and the data are analyzed with examples. The results show that four potential variables have significant impacts on holiday tourists' staggered shifts travel behavior, and PBC is the key factor with the biggest influence. HTS has a significant negative impact on holiday tourists' staggered shifts travel behavior. This study can provide a reference basis for the formulation of measures on tourists staggered shifts on holiday.
Keywords:traffic engineering  psychological factors  structural equation modeling  staggered shifts  holiday tourism  
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