Developing an approach to assess the influence of integrating disaster risk reduction practices into infrastructure reconstruction on socio‐economic development

Disasters provide physical, social, economic, political and environmental development windows of opportunity particularly through housing and infrastructure reconstruction. The reconstruction process should not be neglected due to the opportunistic nature of facilitating innovation in development. In this respect, post‐disaster “infrastructure” reconstruction plays a critical role in development discourse and is often essential to sustain recovery after major disasters. However, reconstruction following a natural disaster is a complicated problem involving social, economic, cultural, environmental, psychological, and technological aspects. There are significant development benefits of well‐developed “Disaster Risk Reduction (DRR) Strategies” and, for many reasons, the concept of DRR can be more easily promoted following a disaster. In this respect, a research study was conducted to investigate the effects of integrating DRR strategies into infrastructure reconstruction on enhancing the socio‐economic development process from a qualitative stance. The purpose of this paper is to document part of this research study; it proposes an approach that can be used to assess the influence of the application of the DRR concept into infrastructure reconstruction on socio‐economic development.

The research methodology included a critical literature review.

This paper suggests that the best way to assess the influence of integrating DRR strategies practices into infrastructure reconstruction on socio‐economic development is to assess the level of impact that DRR strategies has on overcoming various factors that form vulnerabilities. Having assessed this, the next step is to assess the influence of overcoming the factors that form vulnerabilities on achieving performance targets of socio‐economic development.

This paper primarily presents a framework for the concept of socio‐economic development and a modelled classification of DRR practices.