When extreme weather events disable critical infrastructure, the damage rarely stops at broken cables or failed transformers, yet post-incident analysis has systematically underweighted the social dynamics that determine how communities experience, interpret, and recover from such failures. This study examines the profound social ramifications of the February 2016 power outage in Khuzestan Province, Iran, which resulted from a severe dust storm and affected over two million residents. Employing a sequential mixed-methods approach, we conducted 65 semi-structured interviews with diverse stakeholders and administered surveys to 500 residents to investigate the social contexts, perspectives, and consequences of this infrastructure crisis. Employing a grounded theoretical framework drawing on disaster-as-social-phenomenon theory, social capital research, and environmental justice scholarship, we identify a fundamental multi-dimensional perception gap between government officials, who characterized the crisis as an extraordinary climatic event managed with exceptional technical competence, and residents, who interpreted it as the crystallization of long-standing structural disadvantages including environmental degradation, resource inequity, and institutional neglect. The study identifies five critical social contextual factors that amplified the crisis: endemic dust pollution, water resource depletion, dual dependency on electricity and water services, pervasive feelings of regional discrimination, and accumulated dissatisfaction with government performance. Despite extensive technical restoration efforts, only 16.6 percent of residents expressed satisfaction with crisis management. The findings demonstrate that social resilience requires multidimensional interventions encompassing transparent communication, genuine community participation, environmental justice, and resilience education. This research contributes a comprehensive analytical framework for understanding how infrastructure crises can catalyze broader social and political tensions, offering critical insights for disaster management in environmentally vulnerable regions.
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Pasandideh et al. (2026) studied this question.
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