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Research Theme: Safety & Health & Wellbeing

Scholarship on supporting human safety, health and well-being, from the individual, to built environment industries, to the region

Understanding employees’ residential choices in connection to remote work during the COVID-19 pandemic

Sa, H., & Shen, Q. (2026). Understanding employees’ residential choices in connection to remote work during the COVID-19 pandemic. Cities, 173, Article 107008. https://doi.org/10.1016/j.cities.2026.107008.

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Abstract

The outbreak of COVID-19 resulted in the proliferation of work-from-home (WFH) and flexible work arrangements. Existing studies have not systematically investigated the resulting patterns of employees' residential choices within the metropolitan area. This study aims to deepen the understanding of employees' residential location choices during the COVID-19 pandemic by examining the impacts of their remote work status. The study is based on the 2022 Seattle Commute Survey, which collected information on work arrangements, individuals' sociodemographic characteristics, work and home locations, and commute and non-commute travel. The primary results of our analysis indicated that: (1) relocated employees who worked remotely (full WFH and hybrid) were more inclined to move outward from their work locations, compared to those engaged in in-person work, (2) employees relocating closer had the shortest commute distances across all work arrangements, while those relocating farther experienced the longest commutes, especially among full WFH employees, (3) remote work status (full WFH and hybrid) had a strong positive association with the choices of staying in original homes and relocating farther from worksites compared to the reference choice of relocating closer to worksites, (4) the influences of full WFH and hybrid work arrangements on the choice of staying in the original housing and relocating farther did not generally differ across age or household income groups, and (5) residential decisions were jointly shaped by a combination of work policy, sociodemographic elements, household lifecycle stage, commuting characteristics, and neighborhood attributes. Our findings contribute to the literature on employees' intra-metropolitan residential choices in connection with teleworking.

Keywords

Residential choices; Remote work; COVID-19 pandemic; Bayesian multilevel multinomial logistic model; Urban transportation planning

 

Accessibility-equality dynamics in urban blue and green spaces reshape human well-being

B. Xue, J. Zhang, B. Liu, M. Alberti, Y. Fan, D. Zhao, & N.B. Grimm, Accessibility–equality dynamics in urban blue and green spaces reshape human well-being, Proc. Natl. Acad. Sci. U.S.A. 123 (22) e2535714123, https://doi.org/10.1073/pnas.2535714123 (2026).

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Abstract

As urbanization accelerates, urban blue and green spaces are increasingly recognized as critical nature-based solutions for enhancing human well-being, delivering climate, environmental, and psychological benefits. Yet, the mechanisms by which access to these natural spaces and the equality of access by urbanites in diverse residential locations shape well-being remain poorly understood in the context of sustainable urban governance. Here, we systematically evaluated the spatiotemporal dynamics of urban blue and green space accessibility and equality across 279 Chinese cities from 2000–2100 and assessed their combined effects on well-being. We found that accessibility has a significant positive influence on well-being but follows an inverted-U-shaped pattern with distinct optimal thresholds. By contrast, equality shows a consistent, positive linear relationship with well-being. Although future accessibility is projected to improve, persistently high disparities among different segments of urban populations highlight the urgent need for equity-centered governance of blue and green spaces in cities. This perspective extends current approaches to environmental justice while revealing a structural mismatch between resource abundance and equitable distribution. To address this mismatch, we propose a prioritization framework that emphasizes context-specific, spatially targeted interventions, guided by four key drivers: the natural space to built-up area ratio, urban population size, the proportion of natural spaces with high accessibility, and urban landscape connectivity. By operationalizing these insights in an online toolkit for local governments, this work advances the fields of sustainable urban governance and equitable environmental planning.

CBE PhD student on interdisciplinary team awarded Population Health Initiative pilot grant

The Population Health Initiative has awarded eight early-stage pilot grants in November 2025. The project, “Embodied Nature Engagement: Developing the Interaction Pattern Preference Inventory (IPPI) for Nature Prescriptions in Primary Care” includes Sebastian Tong (Department of Family Medicine), Peter Kahn (Department of Psychology & School of Environmental and Forest Sciences), Ashley Park (Department of Family Medicine), and Hongfei Li (College of Built Environments). Hongfei Li is a lecturer and interdisciplinary PhD student in the Landscape Architecture department. Congratulations to Hongfei…

Disparities in resilience and recovery of ridesourcing usage during COVID-19

Wang, S., Huang, X., & Shen, Q. (2024). Disparities in resilience and recovery of ridesourcing usage during COVID-19. Journal of Transport Geography, 114, Article 103745. https://doi.org/10.1016/j.jtrangeo.2023.103745

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Abstract

The COVID-19 pandemic has impacted ridesourcing services dramatically, but empirical research on disparities in the resilience and recovery of ridesourcing has been scarce. To address this literature gap, we used ridesourcing trip data in Chicago to create two time series: one for Census tract-level ridesourcing usage (including pickups and dropoffs) and the other for linkages between origin and destination (OD) pairs. We performed time-series clustering analyses that integrated manifold learning and Gaussian Mixture Modeling to optimize the number of clusters for high-dimensional time-series data. The tract-level usage can be grouped into three clusters, and the OD-pair linkages can be grouped into six clusters. We examined the spatial patterns of the tract-level usage clusters and the OD-pair linkage clusters. Furthermore, we estimated a multinomial logit regression model to examine the relationships between clusters and land use, built environment, and sociodemographic factors. Our results suggested that the share of residential land use had a positive association with high resilience and fast recovery of ridesourcing usage. Limited transportation accessibility and a lack of alternative transportation modes were also associated with high resilience and fast recovery of ridesourcing usage. Trips that linked dense employment centers were less likely to be made during the pandemic. Census tracts with a greater share of minorities or a higher poverty rate tended to generate more ridesourcing trips during the pandemic.

Exploring U.S. Occupant Perception Toward Indoor Air Quality Via Social Media and NLP Analysis

Ashayeri, M., Piri, S., & Abbasabadi, N. (2024). Exploring U.S. Occupant Perception Toward Indoor Air Quality Via Social Media and NLP Analysis. Journal of Environmental Science and Public Health, 8(2). https://doi.org/10.26502/jesph.96120205.

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Abstract

The global implementation of stay-at-home mandates altered people's activities within the built environment, prompting a slowdown in the spread of covid viruses. Nevertheless, this period shed light on previously unforeseen challenges in achieving "better" indoor air quality (IAQ) within buildings, necessitating a focus on building health resilience for future scenarios. This study aims to evaluate occupants' feedback on the impact of stay-at-home measures on IAQ perception in buildings across the U.S. during the first year of the pandemic (2020) and compare it with the baseline from the previous year (2019) nationwide to assess the changes and identify potential areas for IAQ management strategies. Geo-tagged textual data from X (formerly known as Twitter) platform were collected and analyzed using Natural Language Processing (NLP) based on time series sentiment analysis techniques to compute the feedback. Findings indicate that occupants’ negative feedback on IAQ increased during 2020 compared to the baseline. It was also found that public perception of IAQ in 2020 was notably less favorable, potentially due to deteriorating conditions inside homes as people spent more time indoors. The study underscores the potential of NLP in capturing occupant perception, contributing to data-driven studies that can inform design, engineering, and policy-making for sustainable future.

Keywords

Indoor Air Quality; Occupant Perception; COVID Stay-athome; Natural Language Processing (NLP); Time Series Sentiment Analysis

Amy Wagenfeld

Amy Wagenfeld, PhD, OTR/L, SCEM, EDAC, FAOTA. Amy’s roles as an occupational therapist include therapeutic and universal design consultant, educator, researcher, and author. In addition to her role in the Department of Landscape Architecture, she is a faculty member in the Boston University Post-Professional Occupational Therapy Doctoral program and Principal of Amy Wagenfeld |Design. She is a Fellow of the American Occupational Therapy Association, holds evidence-based design accreditation and certification (EDAC) through the Center for Health Design and specialty certification in environmental modifications (SCEM) through the American Occupational Therapy Association, and certification in Healthcare Garden Design through the Chicago Botanical Garden. Amy was recently awarded the American Occupational Therapy Association Recognition of Achievement  and the American Society of Landscape Architects Outstanding Service Award for her unique blending of occupational therapy and design.

With a strong background in human development, Amy is passionate about providing people of all ages, abilities, and cultures equitable, inclusive, and safe access to therapeutic environments in which to recreate, learn, and socialize and recognizes that successful design must, at its core, support mental health and foster resilience. Her work focuses on universal design, programming, and evaluation of environments that support physical and emotional rehabilitation and learning across the lifespan in children’s, educational, healthcare, senior living, military, correctional, and community settings.

Amy’s collaborative design projects include a sensory garden for individuals with autism, a therapeutic recreation center, a universally designed serenity garden at a Florida state park, a garden for children in the foster care system, a garden for young children whose families are experiencing homelessness, memory care and assisted living gardens, gardens in correctional facilities, educational facilities, and at military healthcare facilities, and redesign of a community mental health center and garden. Amy served on the design team for three American Society of Landscape Architecture award winning therapeutic gardens, as well as was a recipient of a silver medal from the International Association of Universal Design, a Healthcare Environment Landscape Award, and two New York state design awards.

Amy presents and publishes widely in peer-reviewed and popular press publications on topics relating to collaboration with designers and inclusive access to nature. She is co-author, with Daniel Winterbottom, of the award-winning book, Therapeutic Gardens: Design for Healing Spaces published by Timber Press in 2015 and author of Nature Notes, a column for Exceptional Needs Today magazine.

Optimizing Urban Greenspace Landscapes to Mitigate Population Exposure to Extreme Heat in 21st Century Chinese Cities

Feng, R., Li, G., Alberti, M., Wang, F., Liu, S., & Yu, G. (2025). Optimizing Urban Greenspace Landscapes to Mitigate Population Exposure to Extreme Heat in 21st Century Chinese Cities. Environmental Science & Technology, 59(11), 5510–5520. doi:10.1021/acs.est.4c11345

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Abstract

Urban greenspace (UGS) is a crucial nature-based solution for mitigating increasing human exposure to extreme heat, but its long-term potential has been poorly quantified. We used high spatial-temporal resolution data sets of urban land cover and population grid in combination with an urban climate model, machine learning, and land use simulation model to assess the impact of UGS on population exposure to extreme (high-heat exposure, HHE) and its potential spatial optimization strategies. Results showed that the UGS and HHE have a strong spatiotemporal dynamic coupling in 21st century Chinese cities. Moreover, UGS shrinkage increased the HHE by 0.58–1.15 °C, while UGS expansion mitigated it by 0.72–1.26 °C, both stronger in the SSP3–7.0 and SSP5–8.5 scenarios. Different from common impressions, spatial relationships, rather than quantities of UGS, are more influential (1.3–1.8 times) on HHE. Our solutions suggest that simply enhancing the spatial dynamic connectivity between patches can mitigate HHE by 9.1–21.1%, especially for the eastern and central cities. Our results provide an example of how to improve climate adaptation in urban ecological space designs and strongly promote research on optimal spatial patterns for future robust urban heat mitigation.

Keywords

Urban greenspace; extreme heat exposure; mitigation effects; optimization solution; future projection

2025 Inspire Fund Awardees Selected

The 2025 Inspire Fund Awardees have been selected! See more information about their projects below. Project Title: “Enhancing Feasibility and Evaluation for the Housing Choice Voucher Homeownership Program in King County” Team: Vince Wang (Runstad Department of Real Estate), Zhongmin Evy Luo (PhD student, Built Environments), Kristin Pace (KCHA) Project Title: “Wildfire Smoke Readiness of Low-Income Households in Seattle” Amos Darko (Construction Management), Alvina Ekua Ntefua Saah (PhD Student, College of Built Environments) Project Title: “Equitable Public Electric Vehicle Charging…

Let’s Be Clear-Health Impact Assessments or Assessing Health Impacts?

Kim, J., Dannenberg, A., Haigh, F., & Harris-Roxas, B. (2024). Let’s Be Clear—Health Impact Assessments or Assessing Health Impacts? Public Health Reviews, 45, 1607722-. https://doi.org/10.3389/phrs.2024.1607722

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Abstract

The article discusses the distinction between studies that assess health impacts and those that are specifically associated with health impact assessments (HIAs). It highlights the misuse of the term HIA in scholarly literature, where studies that evaluate health impacts are often labeled as HIAs. The authors emphasize that HIAs are intended to support decision-making and provide recommendations, rather than simply describing or evaluating health impacts. They suggest the need for better documentation of HIA recommendations and their impacts, as well as the development of reporting guidelines for academic HIA literature.

Keywords

decision making; health impact assessment; health risk assessment; policy recommendations; stakeholder engagement