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.

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Performance measurement is a method to quantify project success based on project and policy outputs and outcomes assessment. In the United States, transportation-related performance measures have become popular since authorization of the Intermodal Surface Transportation Efficiency Act in 1991. Performance measures have been applied in many areas, including freeway operations. This paper improves on earlier techniques and presents an innovative approach for using a multicriteria decision framework to select freeway operational performance measures. The proposed selection performance measure methodology includes establishing a statement of purpose, identifying alternatives, establishing criteria, and using a screening approach to eliminate unsatisfactory performance measures by means of qualitative and quantitative criteria. Once the screening approach is used to reduce the set of candidate alternatives to a set of feasible alternatives, the methodology uses a multicriteria decision model, such as simple additive weighting and ELECTRE III, to combine the commensurate criteria and generate a rank order of the acceptable alternatives for final decision making. A sample application of the proposed methodology is presented.