摘要
幸福感的研究对提升个人健康和社会效益,实现健康中国的战略目标具有重要意义。文中对出行幸福感的显著影响因素及其层次结构进行分析,构建了出行幸福感评价指标体系,由此提出了相应的规划与政策建议。文中采用国际公认的研究幸福感的数据库ATUS(American Time Use Survey),首先建立最优尺度回归模型,筛选出显著影响出行幸福感的因素并得到各自的重要性系数;而后,以最优尺度回归输出结果为依据,结合因子分析法和层次分析法获得因素间的层次结构,得到每个指标的影响权重,从而构建了出行幸福感评价指标体系,定量地描述了不同因素对出行幸福感的影响程度;最后,基于出行幸福感影响因素的启示,给出提升出行幸福感的规划与政策建议。
The study of well-being is of great significance for improving personal health and social benefits and realizing the strategic goal of healthy China.This paper analyses the significant influencing factors and hierarchical structure of travel well-being,constructs an evaluation index system of travel well-being,and puts forward corresponding suggestions for transportation planning and policy.This paper uses the well-known travel well-being data from the American Time Use Survey(ATUS),established an optimal scaling regression model to derive significant factors of travel emotional experiences and their effect sizes.Based on modeling results,combined the factor analysis method with the analytic hierarchy process to obtain the hierarchical structure of the influencing factors and the weight of each factor,thus developed a travel well-being scoring system which can quantify the impact of each factor on travel well-being.Finally,based on the inspiration of the influencing factors of travel well-being,the suggestions of planning and policy are put forward for improving travel well-being.
作者
朱菁
陈淑燕
李赛赛
曹政
张怡文
丁晓梅
ZHU Jing;CHEN Shuyan;LI Saisai;CAO Zheng;ZHANG Yiwen;DING Xiaomei(College of Urban and Environmental Sciences,Northwest University,Xi′an 710127,China;School of Transportation,Southeast University,Nanjing 210096,China;Tongji Architectural Design(Group)Co.,Ltd.,Shanghai 200092,China;Shanghai Municipal Engineering Design Institute Co.,Ltd,Shanghai,200092,China;Zhejiang Institute of Communications,Hangzhou 311112,China)
出处
《西北大学学报（自然科学版）》
CAS
CSCD
北大核心
2020年第4期666-673,共8页
Journal of Northwest University（Natural Science Edition）
基金
国家自然科学基金资助项目(51608443)。
关键词
出行幸福感
因子分析法
层次分析法
规划建议
travel well-being
factor analysis
analytic hierarchy process
planning suggestions
