小汽车通勤者主观幸福对出行方式选择的影响

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英文篇名：The Impact of Subjective Well-Being of Car Commuters on Travel Mode Choice 作者：严海 ; 靳露宁 ; 王鹏飞 英文作者：Yan Hai;Jin Luning;Wang Pengfei;Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology;College of Urban Construction, Hebei Normal University of Science & Technology; 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 英文关键词：transportation planning;;travel mode choice;;car commuters;;subjective well-being;;machine learning;;structural equation 中文刊名：CSJT 英文刊名：Urban Transport of China 机构：北京工业大学交通工程北京市重点实验室;河北科技师范学院城市建设学院; 出版日期：2019-03-25 出版单位：城市交通 年：2019 期：v.17;No.89 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) 语种：中文; 页：CSJT201902017 页数：8 CN：02 ISSN：11-5141/U 分类号：123-130

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.

引文

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    (1)2014年,互联网共享单车应运而生,逐渐取代有桩公共自行车,自行车出行量显著提升。但由于缺乏2014年之后自行车出行比例数据,因此无法进行实证分析,仅做定性描述。