title: Modeling the commuting travel activities within historic districts in Chinese cities.
abstract: 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.
authors.affiliation: Department of Transportation Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei, Nanjing 210094, China.
authors.forename: Mao
authors.identifier: 0000-0002-8825-8326
authors.initials: M
authors.lastname: Ye
authors.affiliation: Department of Transportation Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei, Nanjing 210094, China.
authors.forename: Miao
authors.identifier: 0000-0002-3946-2451
authors.initials: M
authors.lastname: Yu
authors.affiliation: School of Transportation, Southeast University, 2 Sipailou, Nanjing 210096, China.
authors.forename: Zhibin
authors.identifier: 0000-0001-7192-6853
authors.initials: Z
authors.lastname: Li
authors.affiliation: School of Transportation, Southeast University, 2 Sipailou, Nanjing 210096, China.
authors.forename: Fengjun
authors.initials: F
authors.lastname: Yin
authors.affiliation: Department of Transportation Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei, Nanjing 210094, China.
authors.forename: Qizhou
authors.initials: Q
authors.lastname: Hu
mesh_terms: D002947:Cities; D006801:Humans; D016571:Neural Networks, Computer; D014186:Transportation; D014195:Travel