This paper proposes a method for increasing the efficiency of identifying key nodes in a road network, especially in large-scale complex ones. The method was established based on spatial weighted degree and local improved structural hole (LISH) models by using node degrees fused with traffic characteristics. The node degree was redefined, and the traffic characteristics of a road network were integrated into the LISH model. The proposed method for calculating key nodes was validated using the backbone road network of Shaanxi Province. Results confirm the feasibility and rationality of the model. The improved LISH model is also more effective than existing models in identifying key nodes in the road network. This study provides a technical basis for determining key nodes of large-scale complex road networks by using CIS.
Identification of Key Nodes in a Road Network Using the Fusion of Nodes with Degree Traffic Characteristics and LISH Model
2016-09-15
42016-01-01 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
Determination of key nodes in urban road traffic network
IEEE | 2014
|NTIS | 2015
|NTRS | 2015
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