摘要
基于南京居民1d出行调查数据,对城市低收入居民日出行链的复杂度和类型选择特征进行分析.Pearson卡方检验表明不同收入群体的日出行链模式存在显著差异.低收入居民以非通勤出行链为主,且出行链复杂度低.此外,通过建立Stereotype Logit模型和Mixed Logit模型分别研究影响日出行链复杂度和类型选择的因素.结果表明,出行便利性和灵活性提高时,低收入居民的出行链复杂度会随之增加.高居住密度和高就业岗位密度地区的低收入居民倾向选择复杂的通勤链出行,且从事更多的非通勤活动.
This study examines the daily trip chain complexity and type choices of low income residents based on the activity travel diary survey in Nanjing,China.Pearson＇s chi-squared tests reveal that significant differences of trip chain pattern do exist between income groups.Low income residents on average make more daily non-work trip chains.And their non-work trip chains are further shown to contain fewer stops.Then,two types of econometric models,stereotype logit model and mixed logit model are developed to investigate the possible explanatory variables affecting low income residents＇ trip chain patterns.Results show that once convenient and flexible conditions are supplied,low income residents are more likely to make multiple activities in a trip chain.Areas with high population density and employment density are associated with complex work trip chains and more non-work activities involvement.
出处
《武汉理工大学学报（交通科学与工程版）》
2015年第2期273-278,共6页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
国家自然科学基金项目(批准号:51178109)
国家重点基础研究发展计划项目(批准号:2012CB725402)资助
