The energy transition from predominantly fossil- to non-fossil resources will significantly reshape land use and the built environment, and with it, people’s relationships with place. Particularly during the infrastructure-intensive ‘mid-transition’ period during which fossil and non-fossil energy systems operate simultaneously with overlapping functions, understanding how people adapt to, value, or resent living with these infrastructures can enable value-informed design and planning efforts. Here, we use conventional qualitative coding methods with machine learning validation to investigate survey responses from people in the United States of Amercica and Australia who already share space with large-scale energy production regarding their natural and social environments. We focus on (1) how individuals use measures of environmental quality to describe not just their natural or physical environment, but also their community and (2) how and whether shared natural and social spaces facilitate feelings of well-being and belonging. The goal is to inform consultation and planning for the peak infrastructure mid-transition period. We find a blended understanding of nature and culture, with respondents noting tradeoffs from hosting powerful local industry, but also the value of nature as an antidote to deteriorated or low-quality social spaces. We observe a resistance to change paired with a keen sense of loss of local control such that industry is perceived as an outside force, even when formative for local culture and landscapes. Green spaces and good quality air and water are not just measures of how well the environment is doing, but are also a benchmark people use to describe how well their community is doing. Themes are notably consistent across the communities included in this analysis, diverse in their size, resource endowment and industrial history. This work suggests attention to safeguarding and expanding the shared spaces, institutions and economies that foster strong social ties could improve community outcomes during transition.