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Resilience assessment of road networks is essential to ensure the continuity of critical services following hazard events. Regional transportation resilience assessment requires detailed datasets and advanced computational modeling, which are often unavailable in assessments performed in the Global South. In this study, we present a probabilistic regional resilience assessment framework for road networks in contexts where detailed data are not available. The framework captures agency costs, user costs, and environmental costs. The framework enables benefit-cost analysis as well as incorporating climate projection scenarios for resilience investment analysis. The application of the framework is demonstrated in a case study for regional resilience analysis in Haiti as part of the Resilient Urban Transport and Accessibility Project (RUTAP) by the World Bank. The findings show the capabilities of the framework in providing quantitative insights for informed decision-making to improve regional resilience of road networks in the context of Global South. [ABSTRACT FROM AUTHOR]

This study uses mobility data in the context of 2017 Hurricane Harvey in Harris County to examine the impact of flooding on access to dialysis centers. We examined access dimensions using static and dynamic metrics. The static metric is the shortest distance from census block groups to the closest centers. Dynamic metrics are: 1) redundancy (daily unique number of centers visited), 2) frequency (daily number of visits to dialysis centers), and 3) proximity (visits weighted by distance to dialysis centers). The results show that: the extent of dependence of regions on dialysis centers varies; flooding significantly reduces access redundancy and frequency of dialysis centers; regions with a greater minority percentage and lower household income were likely to experience extensive disruptions; high-income regions more quickly revert to pre-disaster levels; larger centers located in non-flooded areas are critical to absorbing the unmet demand from disrupted facilities. [ABSTRACT FROM AUTHOR]

Using quantitative measures to assess road network resilience, this study proposes a system-level framework that offers insights into existing road network resilience that could inform the planning and development processes of transportation agencies. This study identified and implemented four quantitative metrics to classify the criticality of road segments based on dimensions of road network resilience. Integrating the four metrics of classification using two mathematical approaches, this study arrived at overall resilience performance metrics for assessing road segment criticality. A case study was conducted on Texas road networks to demonstrate the effectiveness of implementing this framework in a practical scenario. The data used in this study is available to other states and countries; thus, the framework presented in this study can be adopted by transportation agencies for regional transportation resilience assessments. [ABSTRACT FROM AUTHOR]