Transportation system plays a vital role in sustaining the economic and social well-being of a community. Disaster or extreme hazard such as earthquake, storms, landslide, flood, terrorism, etc. has a major impact on the resilience of the road, especially in ensuring the impact toward the recovery for communities. Road infrastructure is linked to many encompassing factors such as road user, climate, economy, material, topography and periodic maintenance. Recently, unpredicted climate causes heavy rain, landslide, and flood resulting in high losses bared by the government on the repair and reconstruction works. Previous events have revealed that certain road areas in Malaysia are vulnerable after exposed to damage due to the natural disaster. This paper highlights the identified factors that contribute to adaptation on the escape route for road disaster resilient. A comprehensive review was done to identify a few missing approaches in the road network resiliency, which include a temporal route option as part of the adaptive routing solution. The research is expected to become a reference to overcome disruption in the road network in time of disaster or crisis while supporting the government initiative to strengthen the resilience of the nation’s infrastructure.
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.
The reliance on roads to provide fluent mobilization has raised great concern when facing functional degradation. Disruption of the critical segments of a road network may significantly increase the distance traveled by a community. This paper proposes a method for measuring road network vulnerability when facing disruption by assessing all road segments within a network. The assessment is based on two of the shortest disjointed diversion routes from one end of the segment to the other, supporting the strategy of reaching equilibrium flow in an emergency condition. To generate diversion routes for the purpose of reconnecting a disrupted segment, the shortest path patterns are generated through the formation of adjacent polygons using GIS. Accordingly, this paper proposes a segment vulnerability index based on the support of diversion routes. Additionally, the model introduces supporting vulnerability, a parameter for measuring the potential of a road segment becoming a supporting diversion route when its surrounding segments are disrupted. By adopting the Malaysian Peninsular road network as a case study, the developed index can assist transportation agencies in planning and maintaining road assets while prioritizing vulnerable road segments relative to the entire road network.
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