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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.
Highlights
Historic district has many familiar names in China such as old town and ancient city
The aim of this paper is to explore the influence of individual and household attributes on travel characteristics of commuters in the historic district, relating to subsistence activity, trip chain, and travel mode
Based on the household survey data in the historic district of Yangzhou, China, this study explored the relationships between the individual and household attributes and commuters’ travel characteristics
Summary
Historic district has many familiar names in China such as old town and ancient city. The Norms on Protection of Historic and Cultural City Planning were issued in 2005 which defines that the historic area should reflect a historic development process or a range of development. With the rapid development of urbanization and motorization, traffic demand has been increased dramatically. Under such background, traffic problems in historic district are increasingly severe. The analysis on travel characteristics of the region’s residents, especially commuters, is important for the alleviation of the traffic jams. It is meaningful for policy makers to develop effective traffic strategies. The solution of commuters’ travel problem would be very helpful for the soothing of traffic congestions on roads
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