摘要
非工作出行在城市居民出行结构中所占比重呈现不断上升趋势.结合上海市居民出行调查数据,采用结构方程模型(SEM),对社区居民非工作活动和出行的作用机制进行建模分析.研究结果表明个人特征、家庭特征和社区特征都能对居民非工作活动和出行产生影响,但社区特征具有较强作用,而出行者个人属性和家庭属性的影响强度相对要小.个人特征中就业情况对居民非工作活动和出行影响显著,家庭特征中小汽车数量有较强的影响效应,社区特征中社区公共设施覆盖率影响最为显著.
Non-work travel in the proportion of the structure of travel is on the rise. Structural equation modeling （SEM） was adopted to analyze the influence mechanism of residents＇ non-work activity and travel behavior based on the Shanghai Household Travel Survey. The results of SEM show that socio-demographic characteristics and neighborhood features both affect residents＇ non-work activity and travel, but neighborhood features have stronger influence than socio- demographic characteristics. The most significant characteristic in individual is the employment situation. The most significant characteristic in household is the number of automobiles. And the most significant characteristic in neighborhood is the coverage of neighborhood services.
作者
张萍
邓能静
蒋瑶瑶
ZHANG Ping DENG Nengjing JIANG Yaoyao(State Key Laboratory of Road and Traffic Engineering Ministry of Education, Tongji University , Shanghai 200092 Shanghai Rijing Planning and Architecture Design Co.of the China Ltd., Shanghai 200092, China)
出处
《同济大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2017年第9期1311-1318,共8页
Journal of Tongji University:Natural Science
基金
国家自然科学基金(51378358)
关键词
非工作活动
出行行为
结构方程模型
non-work activity
travel behavior
structuralequations model
