Imperial College London
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Professor Washington Yotto Ochieng, EBS, FREng

Faculty of Engineering, Department of Civil and Environmental Engineering

Head of Department of Civil and Environmental Engineering
 
 
 
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Contact

 

+44 (0)20 7594 6104w.ochieng Website

 
 
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Assistant

 

Ms Maya Mistry +44 (0)20 7594 6100

 
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Location

 

441/442Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Shang:2020:2020/5875803,
author = {Shang, W-L and Chen, Y and Song, C and Ochieng, WY},
doi = {2020/5875803},
journal = {Mathematical Problems in Engineering},
pages = {1--12},
title = {Robustness Analysis of Urban Road Networks from Topological and Operational Perspectives},
url = {http://dx.doi.org/10.1155/2020/5875803},
volume = {2020},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - <jats:p>This study comprehensively analyses the robustness of urban road networks through topological indices based on the complex network theory and operational indices based on traffic assignment theory: User Equilibrium (UE), System Optimum (SO), and Price of Anarchy (POA). Analysing topological indices may pin down the most important nodes for URNs from the perspective of connectivity, while more sophisticated operational indices are helpful to examine the importance of nodes for URNs by taking into account link capacity, travel demand, and drivers’ behaviour. The previous way is calculated in a static way, which reduces the computation times and increases the efficiency for quick assessment of the robustness of URNs, while the latter is in a dynamic way, namely, calculating is based on removal of individual nodes, although this way is more likely to capture realistic meanings but consumes huge amount of time. The efforts made in this study try to find the relationship between topological and operational indices so as to assist the assessment of robustness of URNs to local disruptions. Seven realistic urban road networks such as Sioux Falls and Anaheim are used as network examples, and results show that different indices reflect robustness characteristics of urban road networks from different ways, and rank correlations between any two indices are poor although small network such as Sioux Falls have better correlations than others.</jats:p>
AU  - Shang,W-L
AU  - Chen,Y
AU  - Song,C
AU  - Ochieng,WY
DO  - 2020/5875803
EP  - 12
PY  - 2020///
SN  - 1024-123X
SP  - 1
TI  - Robustness Analysis of Urban Road Networks from Topological and Operational Perspectives
T2  - Mathematical Problems in Engineering
UR  - http://dx.doi.org/10.1155/2020/5875803
VL  - 2020
ER  -
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