The Traffic Capacity Variation of Urban Road Network due to the Policy of Unblocking Community
At present, urban traffic congestion is a common problem of urban development in China. Therefore, China’s government issued the policy of opening the gated communities in 2016, hoping to alleviate traffic pressure to some extent. But, at present, the quantitative empirical research on the effect of...
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doaj-b077e43f3f984044ad89af08b00b115c2021-08-16T00:00:51ZengHindawi-WileyComplexity1099-05262021-01-01202110.1155/2021/9292389The Traffic Capacity Variation of Urban Road Network due to the Policy of Unblocking CommunityXin Feng0Yue Zhang1Shuo Qian2Liming Sun3School of Economics and ManagementSchool of Urban Geology and EngineeringHuaXin CollegeSchool of Languages and CultureAt present, urban traffic congestion is a common problem of urban development in China. Therefore, China’s government issued the policy of opening the gated communities in 2016, hoping to alleviate traffic pressure to some extent. But, at present, the quantitative empirical research on the effect of the policy implementation is less and more idealistic. In order to complete the leap from research on local isolated traffic capacity of static gated communities to research on global coupling traffic capacity of dynamic multilayer network and, to a certain extent, reflect the innovation of the research model and method, we make a quantitative analysis of the effect of the policy more consistent with the actual situation, which provides a quantitative management basis for the implementation of the policy. Based on literature review, this paper carried out two stages of research. Stage one consists of constructing traffic capacity assessment model—Road Capacity Assessment (RCA) model based on BPR (Bureau of Public Roads) impedance function from a simple local static perspective. Considering the factors such as delay of signalized intersection and travel time, through modeling analysis and empirical test, it is found that about 12% of local traffic capacity can be improved after open community. Stage two consists of constructing a global capacity model based on multilayer complex network coupling from the perspective of complex global dynamics. Considering the various network nodes of pedestrians, nonmotor vehicles, and other factors, we construct a multilayer complex network and dynamic superposition coupling. The empirical data show that the overall traffic capacity of the open community is improved by at least 11.3%. Finally, it can be concluded that a significant increase in the global traffic capacity of complex urban road networks means that the losses caused by traffic congestion will be reduced. In some first-tier cities, the direct monthly income of the open-gated community is as high as 230 million yuan, not to mention its overall economic, social, and environmental benefits.http://dx.doi.org/10.1155/2021/9292389 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xin Feng Yue Zhang Shuo Qian Liming Sun |
spellingShingle |
Xin Feng Yue Zhang Shuo Qian Liming Sun The Traffic Capacity Variation of Urban Road Network due to the Policy of Unblocking Community Complexity |
author_facet |
Xin Feng Yue Zhang Shuo Qian Liming Sun |
author_sort |
Xin Feng |
title |
The Traffic Capacity Variation of Urban Road Network due to the Policy of Unblocking Community |
title_short |
The Traffic Capacity Variation of Urban Road Network due to the Policy of Unblocking Community |
title_full |
The Traffic Capacity Variation of Urban Road Network due to the Policy of Unblocking Community |
title_fullStr |
The Traffic Capacity Variation of Urban Road Network due to the Policy of Unblocking Community |
title_full_unstemmed |
The Traffic Capacity Variation of Urban Road Network due to the Policy of Unblocking Community |
title_sort |
traffic capacity variation of urban road network due to the policy of unblocking community |
publisher |
Hindawi-Wiley |
series |
Complexity |
issn |
1099-0526 |
publishDate |
2021-01-01 |
description |
At present, urban traffic congestion is a common problem of urban development in China. Therefore, China’s government issued the policy of opening the gated communities in 2016, hoping to alleviate traffic pressure to some extent. But, at present, the quantitative empirical research on the effect of the policy implementation is less and more idealistic. In order to complete the leap from research on local isolated traffic capacity of static gated communities to research on global coupling traffic capacity of dynamic multilayer network and, to a certain extent, reflect the innovation of the research model and method, we make a quantitative analysis of the effect of the policy more consistent with the actual situation, which provides a quantitative management basis for the implementation of the policy. Based on literature review, this paper carried out two stages of research. Stage one consists of constructing traffic capacity assessment model—Road Capacity Assessment (RCA) model based on BPR (Bureau of Public Roads) impedance function from a simple local static perspective. Considering the factors such as delay of signalized intersection and travel time, through modeling analysis and empirical test, it is found that about 12% of local traffic capacity can be improved after open community. Stage two consists of constructing a global capacity model based on multilayer complex network coupling from the perspective of complex global dynamics. Considering the various network nodes of pedestrians, nonmotor vehicles, and other factors, we construct a multilayer complex network and dynamic superposition coupling. The empirical data show that the overall traffic capacity of the open community is improved by at least 11.3%. Finally, it can be concluded that a significant increase in the global traffic capacity of complex urban road networks means that the losses caused by traffic congestion will be reduced. In some first-tier cities, the direct monthly income of the open-gated community is as high as 230 million yuan, not to mention its overall economic, social, and environmental benefits. |
url |
http://dx.doi.org/10.1155/2021/9292389 |
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