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Abstract:This article reviews studies published in English language planning journals since 2001 that focus on the environmental impacts of sprawl. We organise our analysis of the reviewed literature around: (1) the conceptualisation or measurement of sprawl; (2) a comparison of research methods employed and findings with respect to four categories of environmental impacts-air, energy, land, and water; and (3) an exploration of emergent and cross-cutting themes. We hypothesise that the trend towards breaking down silos observable in other areas of planning scholarship is also reflected in the recent sprawl literature and structure our review to test this proposition. International in scope, our work demonstrates how focusing on outcomes can facilitate balanced comparisons across geographic contexts with varying rates of urbanisation and affluence. We find that the sprawl research published in planning journals over the past decade frequently engages with broader themes of resilience and justice, increasingly considers multiple environmental outcomes, and suggests a convergence in the way sprawl is studied that transcends national boundaries as well as the developing-developed country dichotomy.

Place-based structural inequalities can have critical implications for the health of vulnerable populations. Historical urban policies, such as redlining, have contributed to current inequalities in exposure to intra-urban heat. However, it is unknown whether these spatial inequalities are associated with disparities in heat-related health outcomes. The aim of this study is to determine the relationships between historical redlining, intra-urban heat conditions, and heat-related emergency department visits using data from 11 Texas cities. At the zip code level, the proportion of historical redlining was determined, and heat exposure was measured using daytime and nighttime land surface temperature (LST). Heat-related inpatient and outpatient rates were calculated based on emergency department visit data that included ten categories of heat-related diseases between 2016 and 2019. Regression or spatial error/lag models revealed significant associations between higher proportions of redlined areas in the neighborhood and higher LST (Coef. = 0.0122, 95% CI = 0.0039–0.0205). After adjusting for indicators of social vulnerability, neighborhoods with higher proportions of redlining showed significantly elevated heat-related outpatient visit rate (Coef. = 0.0036, 95% CI = 0.0007–0.0066) and inpatient admission rate (Coef. = 0.0018, 95% CI = 0.0001–0.0035). These results highlight the role of historical discriminatory policies on the disparities of heat-related illness and suggest a need for equity-based urban heat planning and management strategies.

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