农业农村地区暴雨洪涝灾后重建的影响因素研究

Post-disaster recovery and reconstruction represent a critical area where pre-existing and subsequent factors interact, shaped by their complex interrelationships. To clarify the key factors influencing post-disaster reconstruction and to systematically implement reconstruction activities aimed at achieving the “Build-Back-Better” goal, this study focuses on understanding and characterizing disaster vulnerability in agricultural and rural areas. It extracts the overall influencing factors of post-disaster recovery and reconstruction using practical case information from recent recovery efforts following rainstorm and flood disasters. Given the complex interrelationships among these factors, a combination of the Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Interpretative Structural Modeling (ISM) methods was utilized to identify the causal and hierarchical structures within the recovery and reconstruction process. Ultimately, a multi-level hierarchical structure of influencing factors was proposed, and the interaction pathways among these factors were established. Special emphasis was placed on three dimensions: risk reduction, execution and implementation, and community resilience. This culminated in a factor management framework designed to achieve the “Build-Back-Better” goal. The study reveals that the influencing factors in the recovery and reconstruction of agricultural and rural areas following rainstorm and flood disasters are organized into a four-layered structure. Key factors with significant influence include recovery and reconstruction planning, evaluation of planning implementation, and financial support. Meanwhile, factors such as support for reconstruction projects and the development of emergency technologies and equipment also play significant roles in terms of centrality and causality. By synthesizing the interactions among these factors, an overarching framework encompassing “performance, interaction mechanisms, and long-term development” can be proposed. From an explanatory structural perspective, the factors can be categorized hierarchically as direct, indirect, and deep factors. From a structural-functional viewpoint, direct factors have a direct impact on the performance of recovery and reconstruction in agricultural and rural areas following rainstorm and flood disasters. Indirect factors illustrate the interaction mechanisms that occur during the recovery and reconstruction process, while deep factors are essential for the long-term success of the “Build-Back-Better” initiative.