A Method of Identifying Critical Road Segment: A Case Study of Peninsular Malaysia Road Network

Abstract

The resiliency of transportation infrastructures has been a major concern for the continuity of road services. In order to assess these issues, road network analysis is crucial to investigate the functioning of the existing road network and pinpoint each critical road segment. This enables early preparation for road operators and planners to focus on the road segment user most dependent on of which will be impacted most in case of disruption. This paper aims to introduce a method integrating different network analyses using a combination of three measures namely road segment length, betweenness centrality, and road density to identify critical road segments. The result shows the relationship between the different modes proposed with respect to the topological data implemented and concluded as the critical value of each road segment. This paper also includes the application of the methodology in a national scale region of Peninsular Malaysia road network.

Dynamic identification of logistics critical roads based on BeiDou trajectory data

“…Amir et al. [14] used a combination of three measures namely road length, betweenness centrality, and road density to identify critical segments, and validated the proposed model using the Peninsular Malaysia road network. Considering the distribution change of traffic flow after a specific road link failed, Tian et al.…”

“…Considering the vulnerability coefficient and importance of road sections, Li et al [13] presented a method of identifying key road section under disaster situation to ensure that key roads can be protected before the disaster. Amir et al [14] used a combination of three measures namely road length, betweenness centrality, and road density to identify critical segments, and validated the proposed model using the Peninsular Malaysia road network. Considering the distribution change of traffic flow after a specific road link failed, Tian et al [15] proposed the failure probability model and the importance indicator to calculate the road criticality.…”