Empirical Analysis of Commute Trip Chaining
Empirical Analysis of Commute Trip Chaining
复制标题
DOI：
10.3141/2038-18
复制
发表时间：
2007-01
影响因子：
1.7
通讯作者：
Min Yang;Wei Wang;Xuewu Chen;Tao Wan;Renting Xu
中科院分区：
文献类型：
--
作者：
Min Yang;Wei Wang;Xuewu Chen;Tao Wan;Renting Xu
鉴于中国大多数城市都存在严重的拥堵问题，更好地理解简单和复杂的出行链决策对于中国的交通研究人员和政策制定者至关重要。本文利用在上虞市（中国东部的一个小城市）收集的出行数据，建立了一个实证框架来研究个人家庭的社会人口统计、位置因素、工作时间表和模式选择如何影响个人在简单和复杂的通勤出行链之间的选择。除了描述性统计外，本研究还使用交叉表和逻辑回归。实证结果表明，双职工家庭成员、上班族或服务业从业人员、中老年劳动者、老城区中心区或新区居民、灵活出行方式的上班族、上下班时间较晚的上班族更容易形成复杂的通勤出行链。
Given the churning mass of congestion in most Chinese cities, a better understanding of simple and complex trip-chaining decision making is essential to transportation researchers and policy makers in China. Using the travel data collected in the city of Shangyu (a small city in east China), this paper develops an empirical framework to examine how individual–household sociodemographics, location factors, work schedule, and mode choice affect the individual choice between simple and complex commute trip chains. Besides descriptive statistics, cross tabulation and logistic regression are used in this research. Empirical results show that members of dual-worker households, office workers or employees in service trades, middle-aged or older workers, residents in the center of the old city or a new district, commuters using flexible modes, and workers with late work start or ending times are more likely to make complex commute trip chains.