JOURNAL ARTICLE

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

Jiancheng WengWen Jie ZouJian Rong

Year: 2012 Journal:   Applied Mechanics and Materials Vol: 253-255 Pages: 1922-1929   Publisher: Trans Tech Publications

Abstract

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.

Keywords:
Spatial analysis Beijing Autocorrelation Transport engineering Computer science Data mining Geography Engineering Statistics Mathematics Remote sensing

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FWCI (Field Weighted Citation Impact)
15
Refs
0.24
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Topics

Transportation Planning and Optimization
Social Sciences →  Social Sciences →  Transportation
Spatial and Panel Data Analysis
Social Sciences →  Economics, Econometrics and Finance →  Economics and Econometrics
Evaluation Methods in Various Fields
Physical Sciences →  Environmental Science →  Ecological Modeling

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