Projects

2023 - current

In this project, we perform a comparative evaluation of various established macroeconomic models and approaches for evaluating the indirect economic impacts of disasters. This will lay the groundwork for the effective selection and adaptation of models for analyzing specific scenarios, thereby streamlining the modeling process. We investigate Input-Output (I/O) model, Computable General Equilibrium (CGE) model, and their various extensions, all of which find application in studying a range of disasters stemming from natural hazards and cyber attacks. 

2023 - current

We propose a framework to incorporate constraints to the economic recovery from transportation-related disruptions through a dynamic modeling approach. It will address the interface between the transportation and economic system and that between corresponding models, considering both people and freight movements. The application of the proposed methodology will be demonstrated through a case study of the San Francisco Bay Area.

2021 - 2023

We developed modeling procedures to consider heterogeneity in direct disaster damages and inter-regional interactions for economic impact analysis using an Adaptive Regional Input-Output (ARIO) model. The model was further enhanced to accommodate the discrepancies in the recovery capacities between different sectors and explicitly consider the reconstruction demand from the housing sectors. The quantitative comparison of single-regional and multi-regional analysis demonstrated the effect of inter-regional trading ties on the resilience of the regional economy. Additionally, the trade-offs for selecting the study area boundary for the multi-regional analysis were discussed.