IDENTIFICATION OF ROAD NETWORK FUNCTIONAL AND SPATIAL CHARACTERISTICS BY EIGENVECTOR CENTRALITY ANALYSIS

• ANDO Hiroe

  東京工業大学 環境・社会理工学院（

• KURAUCHI Fumitaka

  岐阜大学 工学部社会基盤工学科

Bibliographic Information

Other Title

• 固有ベクトル中心性指標による道路ネットワークの機能的・空間的特性分析

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.

Journal

• Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)

  Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management) 76 (4), 364-376, 2020

  Japan Society of Civil Engineers

Keywords

• road network evaluation
• centrality
• eigenvector centrality
• factor analysis
• hierarchical clustering

Details

• CRID: 1391131406291241216
• NII Article ID: 130007958471
• DOI: 10.2208/jscejipm.76.4_364
• ISSN: 21856540
• Web Site: https://www.jstage.jst.go.jp/article/jscejipm/76/4/76_364/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed