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Johnston-Hastings Endowment 2024-2025 Awardees Selected

The 2024-2025 Awardees for the Johnston-Hastings Endowment Publication and Travel awards have been selected. The Johnston-Hastings Endowments are in honor of Emeritus Professor Norman J. Johnston and his wife, L. Jane Hastings, established and endowed travel support and publications support funds to provide money for activities of faculty and students in the College. Publications endowment support is for work that has been accepted for publication rather than the writing thereof. Such support is needed for publication; especially where a University…

Magdalena Haakenstad

Magdalena Haakenstad, Postdoctoral Scholar in Urban Planning for Health in the University of Washington Department of Urban Design and Planning in Seattle, Washington, USA. She is a cultural anthropologist interested in environmental health, means and strategies of political negotiation, visual communication in public space, and decolonizing methodologies. As a part of her research, she had an opportunity to work with historically marginalized communities in Mexico, the US and Slovakia on public art projects, storytelling, photo essays, and filmmaking to help amplify their voices. She holds a PhD in General Anthropology from Charles University in Prague, Czech Republic.

Built Environment and Public Health: More Than 20 Years of Progress

Rollings, K. A., Dannenberg, A. L., Frumkin, H., & Jackson, R. J. (2024). Built Environment and Public Health: More Than 20 Years of Progress. American Journal of Public Health (1971), 114(1), 27-.

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Abstract

Early BEH research addressed influences of toxic environmental exposures, zoning laws, building codes, and healthy housing and communities on asthma, injury, violence, healthy and unhealthy food consumption, mental health, social capital, and health inequities.1 Awareness increased regarding the benefits of denser, more walkable, and less automobile-dependent settings, as well as the accessibility, mobility, and livability needs of the growing aging population. Work on automobile dependence, traffic safety, walking and biking, commuting, and sedentary time was primarily driven by the Robert Wood Johnson Foundation's Active Living Research initiative to promote active living via environment, policy, and practice improvements3,4 Research linked specific building and community features to health outcomes, enabling more effective interventions such as appealing stairways, ample sidewalks, and vibrant activity centers.5 The business case for health promoting, walkable places was documented.6 Unintended consequences, including gentrification and displacement, of interventions aimed at improving health among people from racial and ethnic minority groups and of lower incomes were increasingly recognized, resulting in more research focused on how to mitigate these risks.7 The history of structural racism, segregation, redlining, neighborhood disinvestment, health inequities, and disparities in walkability, housing, and green space access was only recently widely acknowledged.8 Numerous books (Table E, available as a supplement to the online version of this article at http://www.ajph.org) and dozens of BEH measures (e.g., walkability [https://www.wal kscore. com], access to parks [https://www.tpl. org/ParkScore], livability [http://www. livabilitylndex.AARP.org], and brain health [https://cognability.isr.umich. edu]) were also published, reflecting the growth and maturation of the field. The effects of these evolving technologies on land use, housing, economic and community development, traffic patterns, transportation planning and infrastructure, air quality, and associated health outcomes require further research and evaluation (Table G, reference 3).10 PRACTICE Professional organizations across disciplines established BEH committees and working groups (Table F, available as a supplement to the online version of this article at http://www.ajph.org), promoting healthy building and community design through conferences, reports, training, and advocacy (e.g., https://www. Health impact assessments (HIAs) were used to consider potential health impacts of proposed projects and programs and identify disproportionately affected populations as well as how to mitigate adverse effects9,11,12 HIAs improved collaboration, amplified community member voices, increased awareness of health issues, and informed decision makers, but the time and resources required to complete HIAs limited their success.12 Cross-disciplinary public health, planning, policy, real estate, architecture, engineering, transportation, and public-private partnership efforts, along with Complete Streets approaches (https://highways.dot.gov/ complete-streets), improved pedestrian infrastructure and safety.

Analysis of the Dong bao Ye as sacred landscape and its Putative therapeutic mechanisms

Yang, S., Liu, J., & Winterbottom, D. (2023). Analysis of the Dong bao Ye as sacred landscape and its Putative therapeutic mechanisms. Health & Place, 83, 103102–103102. https://doi.org/10.1016/j.healthplace.2023.103102

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Abstract

Humans have innately established close and profound ties with the, and through these relationships shaped many kinds of landscapes. Among these are sacred landscapes, which have drawn the attention of researchers due to their cultural significance. In the field of health geography, large-sized sacred regional landscapes are now the focus of studies for their therapeutic properties. However, few scholars have focused on small sacred landscape systems at the community level (constructed by local communities) or the physical and psycological health benefits that these landscapes offer to the local residents. These small-sized and widespread, but often hidden, sacred landscapes are closely tied to people's daily lives and work. They have evolved and grown over millennia to become critical sociocultural phenomena. This study takes the sacred bao ye landscape of the Dong people of China as the research subject. By adopting the case study approach, field research, semi-structured interviews, and textual analysis, it summarizes the types, geographical distribution, rituals and processes of bao ye as a sacred landscape of the Huanggang village in Guizhou Province, and concludes with an analysis of motivation and health benefits to the bao ye worship. In this paper we argue that bao ye is a sacred landscape system focusing on the healthy development of children, and constitutes a local belief developed in an isolated environment lacking medical resources, which remains in practice. The sacred landscape of bao ye offers a therapeutic environment, providing children with increased opportunities to engage with and build deep connections to nature. Thruogh this process children may develop a bond with nature that inspires them to protect nature on their own accord. We argue that bao ye offers an important case study for understanding the landscape-people healing interactivity at the community level.

Keywords

Sacred landscape; Therapeutic landscape; Dong

CBE Research Restart Funding: Progress and Updates

The College of Built Environments awarded Research Restart funding to multiple project teams in 2022. Below are descriptions of their progress and project status to-date. July 2022 Cohort: Arthur Acolin received funding for their project entitled “Accessory Dwelling Units as Potential Source of Affordable Housing Across Generations.” A no-cost extension was approved in May 2023 due to delays in implementing the survey for the project. In July 2023, design of the survey instrument and postcards was completed, and next steps…

Detecting Subpixel Human Settlements in Mountains Using Deep Learning: A Case of the Hindu Kush Himalaya 1990–2020

Chen, T.-H. K., Pandey, B., & Seto, K. C. (2023). Detecting subpixel human settlements in mountains using deep learning: A case of the Hindu Kush Himalaya 1990–2020. Remote Sensing of Environment, 294, 113625–. https://doi.org/10.1016/j.rse.2023.113625

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Abstract

The majority of future population growth in mountains will occur in small- and medium-sized cities and towns and affect vulnerable ecosystems. However, mountain settlements are often omitted from global land cover analyses due to the low spatial resolution of satellite images, which cannot resolve the small scale of mountains settlements. This study demonstrates, for the first time, the potential of deep learning to detect human settlements in mountains at the sub-pixel level, based on Landsat satellite imagery. We hypothesized that adding spatial and temporal features could improve the detection of mountain settlements since spectral information alone led to inaccurate results. For spatial features, we compared a U-shaped neural network (U-Net), a deep learning algorithm that automatically learns spatial features, with a simple random forest (RF) algorithm. Then, we assessed whether temporal features would increase accuracy by comparing two input datasets, multispectral imagery and temporal features from the Continuous Change Detection and Classification (CCDC) algorithm. We evaluated each method by calculating the accuracies of (1) the binary settlement footprint, (2) the subpixel estimates of impervious surfaces, and (3) urban growth. We tested the accuracies using visually interpreted datasets from time-series Google Earth images across the Hindu Kush Himalaya that were not used for training to evaluate model transferability. The U-Net successfully improved mountain settlement mapping compared to the random forest, with a substantial discrepancy in small settlements. The time-series results from the U-Net successfully captured long-term urban growth but fewer short-term changes. Contrary to expectations, the CCDC temporal features reduced the accuracy of mountain settlement mapping due to frequent cloud cover in hilly areas. Our subpixel analysis reveals that the built-up area of the Hindu Kush Himalaya has expanded at a rate of 61 km2 per year from 1990 to 2020, which is about twice the estimate of the Global Human Settlement Layer using binary urban/non-urban classifications.

Keywords

Urban land cover; Land cover fraction; Peri-urban; Built-up area; Subpixel mapping; Machine learning; Time-series; Himalaya; CCDC

A House Deconstructed

Jarzombek, M. & Prakash, V. (2023). A House Deconstructed. Actar Publishers.

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A House Deconstructed book cover

Summary

We would like to think that we ‘know’ what goes into making a modern building. But the truth is that no one, not even architects, knows. The OUR [Office for Uncertainty Research] spent three years studying a single, relatively modest modern house located in Seattle, WA. The research focused on four vectors: Atomic Consciousness that dates back to the Big Bang and the earliest Super Novas: Production Consciousness that involves a vast array of ingredients that are combined to make architectural products: Labor Consciousness that spans a wide spectrum of temporal and economic conditions; and Source Consciousness that is multilayered and global in its reach. Though much was learned, it became clear that a huge proportion of what we ‘know’ about the house was unknowable, not because our epistemological instruments aren’t strong enough or calibrated precisely enough, but because things themselves are indeterminate, uncertain. This begs the question about agency. If we are to critique our profession and even improve some of its claims about Sustainability, then we must develop a more robust understanding of the building industry and the sourcing and making of materials. We must even develop a stronger awareness of the history of atoms and how architecture brings that history into a remarkable focus.

College of Built Environments Announces 2023 Inspire Fund Awards

In 2021, the College of Built Environments launched the CBE Inspire Fund to “inspire” CBE research activities that are often underfunded, but for which a relatively small amount of support can be transformative. The Inspire Fund aims to support research where arts and humanities disciplines are centered, and community partners are engaged in substantive ways. Inspire Fund is also meant to support ‘seed’ projects, where a small investment in early research efforts may serve as a powerful lever for future…