Affiliation:
1. Faculty of Social and Human Sciences, Universidad de Medellín, Medellín 050026, Colombia
2. Faculty of Integrated Arts, Universidad de San Buenaventura, Medellín 050010, Colombia
Abstract
Community-based disaster management (CBDM) has replaced traditional models of disaster risk reduction (DRR), giving the community a more participatory role in the planning and implementation of risk mitigation and preparedness strategies, disaster response, and post-disaster recovery measures. This shift in disaster response approaches has impacted understandings of vulnerability and resilience, leading scholars and policy makers to move away from a physical definition of vulnerability and to incorporate social variables. However, in Colombia, a traditional DRR approach still prevails. The National Risk Management Policy employs a top-down approach to risk reduction and disaster management, relying on the action of governmental authorities without community participation in the design or implementation of risk management planning and strategy. This article reveals the deficiencies of traditional DRR approaches. The Colombian government’s post-disaster resettlement project after a 2015 landslide in Salgar, Antioquia that resulted in 98 people dead or missing did not contribute to the reduction of vulnerability for the resettled community. To accurately measure post-disaster vulnerability and resilience, a new holistic model of indicators that includes both social and biophysical variables that illustrate and measure the relevance of preexisting vulnerabilities was developed. Local data was collected through 178 surveys administered to the inhabitants of Salgar’s three post-disaster resettlement sectors—La Habana, La Florida, and Las Margaritas—to construct an accurate picture of the populations affected by the disaster. Our results show that in the case of Salgar, social vulnerabilities persist even in the physical components of the resettlement sites where new infrastructure would be expected to reduce hazardous conditions and exposure to risk.
Funder
Ministerio de Ciencia, Tecnología e Innovación
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