中国城市历史街区内通勤出行活动建模。
Modeling the commuting travel activities within historic districts in Chinese cities.
作者信息
Ye Mao, Yu Miao, Li Zhibin, Yin Fengjun, Hu Qizhou
机构信息
Department of Transportation Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei, Nanjing 210094, China.
School of Transportation, Southeast University, 2 Sipailou, Nanjing 210096, China.
出版信息
Comput Intell Neurosci. 2014;2014:253289. doi: 10.1155/2014/253289. Epub 2014 Nov 4.
The primary objective of this study is to analyze the characteristics of commuting activities within the historical districts in cities of China. The impacts of various explanatory variables on commuters' travels are evaluated using the structural equation modeling (SEM) approach. The household survey was conducted in the historical districts in Yangzhou, China. Based on the data, various individual and household attributes were considered exogenous variables, while the subsistence activity characteristics, travel times, numbers of three typical home-based trip chains, trip chains, and travel mode were considered as the endogenous variables. Commuters in our study were classified into two main groups according to their working location, which were the commuters in the historic district and those out of the district. The modeling results show that several individual and household attributes of commuters in historic district have significant impacts on the characteristics of travel activities. Additionally, the characteristics of travel activities within the two groups are quite different, and the contributing factors related to commuting travels are different as well.
本研究的主要目的是分析中国城市历史街区内通勤活动的特征。使用结构方程模型（SEM）方法评估各种解释变量对通勤者出行的影响。在中国扬州的历史街区进行了住户调查。基于这些数据，各种个人和家庭属性被视为外生变量，而生存活动特征、出行时间、三种典型的基于家的出行链数量、出行链和出行方式则被视为内生变量。我们研究中的通勤者根据其工作地点分为两个主要群体，即历史街区内的通勤者和街区外的通勤者。建模结果表明，历史街区内通勤者的几个个人和家庭属性对出行活动特征有显著影响。此外，两组内的出行活动特征差异很大，与通勤出行相关的影响因素也不同。
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