Influence Models of Urban Road Network Operation Performance base on Spatial Autocorrelation Theory

被引：0
|
作者：
Weng, Jiancheng [1 ]
Zou, Wenjie
Rong, Jian [1 ]
机构：
[1] Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China
来源：
SUSTAINABLE DEVELOPMENT OF URBAN INFRASTRUCTURE, PTS 1-3 | 2013年 / 253-255卷
关键词：
Traffic Engineering; Influence Model; Spatial Autocorrelation; Urban Road Network; Operation Performance; Influencing Factor;
D O I：
10.4028/www.scientific.net/AMM.253-255.1922
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
In order to better identify the spatial influence between adjacent parts of road networks, the paper introduces the spatial autocorrelation theory in evaluating the operation performance of urban road networks. The research proposes several spatial correlation validation indicators to verify the spatial characteristics among the road networks. Based on the analysis of spatial characteristics, the relationship between operation performance and influencing factors under the impact of spatial effect is examined. Furthermore, a spatial autocorrelation based influence models at three traffic flow levels is developed by using the data from a partial urban road network in Beijing. The model analysis shows that the spatial autocorrelation model is more effective in analyzing the urban road network operation performance under the influence of various factors. This model will be beneficial in identifying traffic network problems and improving traffic operations of the urban road network.
引用
收藏
页码：1922 / 1929
页数：8
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