摘要
为探讨主观幸福对出行方式选择的影响,以北京市开车通勤者为研究对象,在对出行行为分析的基础上,将通勤者的思维过程分为搜索规则和决策规则。在通勤成本变化场景下,采用机器学习算法定性探索主观幸福的作用阶段。结合相关性分析结果建立结构方程模型,定量分析主观幸福对出行方式选择行为的作用机理以及主观幸福的测量变量。研究结果表明:主观幸福对开车通勤者是否改变现有出行方式的决策具有显著影响;主观幸福包括通勤过程满意度(0.73)、场景实施前开车幸福感(0.66)、通勤成本增加后开车幸福感变化(-0.20)三个因素。将主观幸福纳入通勤出行方式选择指标体系,从心理层面为交通政策的制定提供新视角。
To explore the impact of subjective well-being on car commuters' travel mode choice, this paper analyzes the travel behavior of car commuters in Beijing in which their thought processes have been further divided into searching rules and decision rules. When commuter cost is about to change, machine learning algorithm is adopted to explore when the subjective well-being will be functioned. Using the correlation analysis, the paper also develops a structural equation model to discuss the impact of subjective well- being on travel mode choice and the measurement variables of subjective well- being. The results show that subjective well-being has a significant impact on replacing the existing travel mode in which subjective well-being includes commuting process satisfaction (0.73), driving happiness before scenario implementation (0.66), driving happiness changes after scenario implementation (-0.20). Overall, the paper provides a new perspective to formulate the transportation policy at psychological level.
作者
严海
靳露宁
王鹏飞
Yan Hai;Jin Luning;Wang Pengfei(Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China;College of Urban Construction, Hebei Normal University of Science & Technology, 066004, Qinhuangdao Hebei 066004, China)
出处
《城市交通》
2019年第2期119-126,共8页
Urban Transport of China
基金
国家自然科学基金青年科学基金资助项目"基于潜变量分析的城际公交需求生成机理研究"(51308018)
河北省自然科学基金青年科学基金项目"基于非清晰路网宏观基本图的区域交通流控制模型及算法研究"(E2018407051)
关键词
交通规划
出行方式选择
小汽车通勤者
主观幸福
机器学习
结构方程
transportation planning
travel mode choice
car commuters
subjective well- being
machinelearning
structural equation
