The effects of environmental exposure on human health have been widely explored by scholars in health geography for decades. However, recent advances in geospatial technologies, especially the development of mobile approaches to collecting real-time and high-resolution individual data, have enabled sophisticated methods for assessing people’s environmental exposure. This study proposes an individual environmental exposure assessment system (IEEAS) that integrates objective real-time monitoring devices and subjective sensing tools to provide a composite way for individual-based environmental exposure data collection. With field test data collected in Chicago and Beijing, we illustrate and discuss the advantages of the proposed IEEAS and the composite analysis that could be applied. Data collected with the proposed IEEAS yield relatively accurate measurements of individual exposure in a composite way, and offer new opportunities for developing more sophisticated ways to measure individual environmental exposure. With the capability to consider both the variations in environmental risks and human mobility in high spatial and temporal resolutions, the IEEAS also helps mitigate some uncertainties in environmental exposure assessment and thus enables a better understanding of the relationship between individual environmental exposure and health outcomes.

Existing research has enumerated why people move; this article responds to recent calls for increased focus on residential immobility – or staying in place – by focusing on why and how middle-income renters remain immobile as housing costs change around them. This article examines how middle-income renters make sense of housing cost change and their ability to remain in place. Using thirty-two semi-structured interviews with middle-income renters in New York City, this research analyses housing narratives to understand the financial and social complexities of remaining in place. Middle-income renters who are intentionally immobile explain how they stay in their neighbourhood area by making financial trade-offs and negotiating landlord relationships to avoid rent increases. Within a broader narrative of inevitable price displacement, this demonstrates how structural processes of urban housing and urban change manifest in the housing narratives of middle-income renters as they act to defer their own displacement and actively hold their place in changing neighbourhoods.

Transportation uses substantial energy and is a significant household expense in the United States; public transportation and working from home present opportunities to reduce energy use and increase household affordability. However, during COVID-19, transportation systems reduced service, and nationwide, public transportation use has been declining. Focusing on six small-to-medium-sized “Gateway Cities” in Massachusetts—more affordable cities with lower-than-state-average median income and lower-than-state-average education—that have regional transit systems and are within Boston’s commuter rail area, we analyzed the changes in public transit ridership and work from home. We estimated linear and hierarchical linear regression models to understand the association between demographics and built environment and lower emission modes to work between 2011 and 2021. We used GIS to visualize the distribution of public transit ridership and work from home over time and space. We found that the block groups in our sample retained public transit users over the study period and saw increases in working from home. Across all cities, transit ridership was more likely to increase in block groups with higher accessibility to jobs and more frequent transportation to those jobs; work-from-home was more likely to increase in block groups with a lower percentage of Hispanic residents and lower rent burden. We found that most block groups either saw an increase in ridership or working from home, suggesting that work from home and public transit users are spatially segmented groups.