The cessation or downsizing of mining activities induced complex challenges for entire regions in Romania, leading to depopulation, poverty, and pollution. Resource-dependency locked these regions in a mono-industry setting where it was difficult for new development paths to emerge. This paper presents a historical overview of a well-known Romanian mining region and identifies promising recovery opportunities that could shift the trajectory of its mining communities towards new sustainable paths. The research was based on official statistical data for the period 1965/1966–2018, complemented by qualitative data extracted from 39 semi-structured interviews with residents from the study area. The results revealed that the concentration of employment in the mining sector, together with other concurring factors, made it difficult for the communities to find sustainable ways of development while, at the same time, highlighting some possible revitalization and recovery opportunities. The findings contribute to a better understanding of mining communities, which will support the creation of tailored policies and planning strategies aimed towards their sustainable redevelopment.
Increasingly, health outcomes are tied to nutritional opportunities based on the availability of foods and cultural patterns of consumption. This paper demonstrates how Esri Community Analyst can help in identifying at-risk communities. The methodology that results argues a means by which national data made available by Esri in a ''one-stop shop'' can be utilized in a simplified, user-friendly way to identify specific populations with higher prevalence of certain diseases and areas where nutritional needs are likely unmet. For demonstration purposes, this paper presents a case study for South Carolina, USA.
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