The figure shows a framework for evaluating the indirect economic impacts of road transportation infrastructure disruptions. The Computable General Equilibrium model is leveraged to evaluate the indirect economic impacts caused by road transportation infrastructure disruptions, including physical damage, business interruptions and transportation disturbances (including freight flow disturbance and passenger flow disturbance).
This figure shows the indirect economic losses from a case of commuting disturbances caused by earthquake and transportation infrastructure disruptions at the Greater Los Angeles Area of California State of the U.S. The losses are million dollars. Results indicate that the indirect economic losses varies from counties.
This figure shows the comprehensive framework proposed for estimating indirect economic losses caused by disasters and transportation infrastructure disruptions. This framework integrates earthquake hazard analysis, transportation network modeling and Input-Output Model.
Transportation infrastructure system is critical to the economic development as well as the sustainability of urban cities. Transportation disruption can not only cause great direct economic losses, but also lead to huge indirect economic impacts. However, these indirect economic impacts have not been adequately addressed in existing studies. Furthermore, simulation results of transportation disturbance and disaster damage have not been fully incorporated into the estimation of the indirect economic impacts caused by transportation disruption. In addition, the indirect economic impacts of passenger flow disturbance have not been fully considered. Our research contributes to the estimation of the indirect economic impacts due to transportation disruption by constructing estimation frameworks, in which transportation disturbance simulation results and disaster impacts information are leveraged. Our research contributes to the full understanding of the indirect economic impacts due to transportation disruption and can provide theoretical support for the decision-making of transportation infrastructure recovery plans, transportation infrastructure investment projects as well as post-disaster recovery strategies.
Fang WEI
National Natural Science Foundation of China (NSFC): U170920010, 2018.01-2021.12
Beijing Natural Science Foundation (BJNSF): 8202027, 2020.01-2022.12
