Evaluation of the Disaster Resilience Efficiency of the Central Plains Urban Agglomeration's Transportation Infrastructure under the Scenarios of External Flood and Internal Waterlogging

Lili Liu

doi:10.54097/8r7w8026

Authors

Lili Liu

DOI:

https://doi.org/10.54097/8r7w8026

Keywords:

External Flooding and Internal Waterlogging, Central Plains Urban Agglomeration, Transportation Infrastructure, Disaster Resilience, DEA-BCC Model, Efficiency Evaluation

Abstract

As a national comprehensive transportation hub, the Central Plains Urban Agglomeration faces dual threats of external flooding and internal waterlogging, making it imperative to enhance the disaster resilience of its transportation infrastructure. Addressing the limitations of existing research in adaptability and the absence of systematic evaluation at the urban agglomeration level, this study employs the DEA-BCC model based on resilience theory to construct an efficiency evaluation system for transportation infrastructure resilience. The core concepts of resilience are defined, and three categories of input indicators (engineering hardware, management softness, and spatial ecology) along with corresponding output indicators for resilience dimensions are designed following the principles of scientific rigor, comparability, and practicality. The application logic of the model in identifying efficiency patterns, projection optimization analysis, and regional coordination reference is elucidated. The study demonstrates that the DEA-BCC model objectively identifies disparities in resilience construction efficiency among cities and provides quantifiable optimization pathways for underperforming cities. This evaluation framework offers scientific support for formulating differentiated strategies for transportation resilience development in the Central Plains Urban Agglomeration and serves as a reference for similar regions. Future research could integrate panel data and regression models to further investigate the dynamic evolution and influencing factors of resilience efficiency.

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