Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)
Online ISSN : 2185-6540
ISSN-L : 2185-6540
Paper (In Japanese)
IDENTIFICATION OF ROAD NETWORK FUNCTIONAL AND SPATIAL CHARACTERISTICS BY EIGENVECTOR CENTRALITY ANALYSIS
Hiroe ANDOFumitaka KURAUCHI
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2020 Volume 76 Issue 4 Pages 364-376

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Abstract

 In the depopulation area according to the declining birth rate and aging population, the road has an important role in the transport system that supports daily life. The effective and efficient improvements of road network are required. This study proposes an evaluation method by which we can easily understand and analyse characteristics of road networks compared with the conventional evaluation methods. The purpose of this study is to understand the functional and spatial characteristics of the road networks and to provide useful suggestions for the improvement policy according to the locations and roles. Specifically, the eigenvector centrality measures weighted by seven traffic indicators reveal the characteristics of the road network. The eigenvector centrality measure is one of the network topological indicators. Furthermore, the common factors on the characteristics of road networks are extracted, and the necessary road improvement plans are discussed from the results of the hierarchical clustering by the influence magnitudes on the common factors.

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© 2020 Japan Society of Civil Engineers
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