Quantifying Road-Network Robustness toward Flood-Resilient Transportation Systems

Suchat Tachaudomdach, Auttawit Upayokin, Nopadon Kronprasert and Kriangkrai Arunotayanun
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Suchat Tachaudomdach: Ph.D. Degree Program in Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand
Auttawit Upayokin: Excellence Center in Infrastructure Technology and Transportation Engineering (ExCITE), Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand
Nopadon Kronprasert: Excellence Center in Infrastructure Technology and Transportation Engineering (ExCITE), Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand
Kriangkrai Arunotayanun: Excellence Center in Infrastructure Technology and Transportation Engineering (ExCITE), Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand

Sustainability, 2021, vol. 13, issue 6, 1-16

Abstract: Amidst sudden and unprecedented increases in the severity and frequency of climate-change-induced natural disasters, building critical infrastructure resilience has become a prominent policy issue globally for reducing disaster risks. Sustainable measures and procedures to strengthen preparedness, response, and recovery of infrastructures are urgently needed, but the standard for measuring such resilient elements has yet to be consensually developed. This study was undertaken with an aim to quantitatively measure transportation infrastructure robustness, a proactive dimension of resilience capacities and capabilities to withstand disasters; in this case, floods. A four-stage analytical framework was empirically implemented: (1) specifying the system and disturbance (i.e., road network and flood risks in Chiang Mai, Thailand), (2) illustrating the system response using the damaged area as a function of floodwater levels and protection measures, (3) determining recovery thresholds based on land use and system functionality, and (4) quantifying robustness through the application of edge- and node-betweenness centrality models. Various quantifiable indicators of transportation robustness can be revealed; not only flood-damaged areas commonly considered in flood-risk management and spatial planning, but also the numbers of affected traffic links, nodes, and cars are highly valuable for transportation planning in achieving sustainable flood-resilient transportation systems.

Keywords: transportation resilience; flood-risk assessment; natural disasters; betweenness centrality; road-network robustness; humanitarian logistics; travel demand; transportation infrastructure; disaster-risk reduction (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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