Research Interests: Climate change and infrastructure planning, artificial intelligence and data science for social good/urban planning
Department: Urban Design and Planning
Hoseok Sa
Research Interests: Regional econ. development (tech innovation, human capital, regional industry), Transportation planning/policy (travel behavior, mobility, sustainable transportation), intersection between planning (or transportation), population/public health, and climate change, and urban form
Helen Pineo
Helen Pineo is an urban planner and Research Associate Professor in the Department of Urban Design and Planning at the University of Washington. Her research focuses on how development, regeneration and urban policy can support health and sustainability. She contributes to the evidence base about why and how to do healthy urbanism by using transdisciplinary approaches and amplifying the needs of under-represented communities and the planet.
With funding from the Robert Wood Johnson Foundation, Helen is currently leading Change Stories, a research project that uses ethnographic methods to learn from the cultures, narratives and contexts that have supported shifts to equitable and sustainable development. She is co-investigator on a study investigating the health and health equality impacts of housing converted from non-residential buildings in England, funded by the UK National Institute for Health and Care Research. Her past research has used participatory, systems thinking and other methods, to study: overcrowding and COVID, integration of health objectives in new property development, conceptualization of multi-scalar health impacts of urban environments (see Healthy Urbanism, Palgrave Macmillan, 2022), evidence use in government policy and decision-making, and urban health indicators and their use by planners.
Helen’s teaching and postgraduate supervision covers a broad range of healthy and sustainable urban environment topics. Her outreach activities include collaboration and advisory work with international organizations including the World Health Organization, the NHS England Healthy New Towns Programme, the Dubai Land Department, the Academy of Medical Sciences, the Royal Society and the Obesity Health Alliance, among others.
Prior to joining UW in 2023, Helen lived and worked in London for 16 years. Most recently, she was an Associate Professor at University College London. Previously, she worked as an urban planner for over a decade on new developments and planning policy in the UK and internationally. She has worked at the Building Research Establishment, Local Government Association and in national and local government in the areas of sustainable urbanisation, health, climate change and low carbon energy. Helen holds degrees in Community and Environmental Planning and English Literature (B.A. 2003, UW), Linguistics (M.A., 2006, UCL) and Healthy and Sustainable Built Environments (Ph.D., 2019, UCL). She is a chartered member of the Royal Town Planning Institute.
Building a more just and beautiful future: CBE’s new faculty cohort makes strides on campus
The new cohort of faculty have made a big impact in their initial time on campus. Please see the full story here. The cohort includes: Dr. Narjes Abbasabadi, an assistant professor in the Department of Architecture and affiliate data science faculty UW eScience Institute, studies computation and decarbonization of the built environment. Dr. Amos Darko, an assistant professor in Construction Management, studies how digital technologies can help people better monitor, assess, understand, and improve the sustainability performance of the built…
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…
Jan Whittington featured on The Whole U
Jan Whittington was featured in the UW Insider newsletter, with a story on “The Whole U” website. The story is entitled “Creating eco-friendly infrastructure design: Meet Jan Whittington” and discusses Jan’s experience and path to working at the University of Washington, along with the Urban Infrastructure Lab and her other current work. Read the story here.
Faculty and Staff Recognized for Dedication and Service
The University of Washington College of Built Environments (CBE) recognized faculty and staff at the 2023 CBE Graduation Celebration. These awards celebrate CBE faculty and staff for their dedication, service, and many contributions to our community. Congratulations to all our awardees! Lionel Pries Award for Excellence in Teaching: Catherine De Almeida Outstanding Faculty Award: Jeffrey Ochsner Outstanding Part-Time Teaching Award: Marty Curry Distinguished Staff Award: Laura Barrera Read more here.
Integration of Urban Science and Urban Climate Adaptation Research: Opportunities to Advance Climate Action
Lobo, J., Aggarwal, R. M., Alberti, M., Allen-Dumas, M., Bettencourt, L. M. A., Boone, C., Brelsford, C., Broto, V. C., Eakin, H., Bagchi-Sen, S., Meerow, S., D’Cruz, C., Revi, A., Roberts, D. C., Smith, M. E., York, A., Lin, T., Bai, X., Solecki, W., … Gauthier, N. (2023). Integration of urban science and urban climate adaptation research: opportunities to advance climate action. Npj Urban Sustainability, 3(1), 32–39. https://doi.org/10.1038/s42949-023-00113-0
Abstract
There is a growing recognition that responding to climate change necessitates urban adaptation. We sketch a transdisciplinary research effort, arguing that actionable research on urban adaptation needs to recognize the nature of cities as social networks embedded in physical space. Given the pace, scale and socioeconomic outcomes of urbanization in the Global South, the specificities and history of its cities must be central to the study of how well-known agglomeration effects can facilitate adaptation. The proposed effort calls for the co-creation of knowledge involving scientists and stakeholders, especially those historically excluded from the design and implementation of urban development policies.
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
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
Urban Infrastructure Lab Report on High-Speed Rail
The Urban Infrastructure Lab researchers have released a report on a Cascadia region high-speed rail project. College of Built Environments faculty Jan Whittington and Qing Shen were authors on the report, along with 3 Interdisciplinary Ph.D. in Urban Design and Planning students (Siman Ning, Haoyu Yue, and Chin-Wei Chen), and a Master of Urban Planning candidate (Richard McMichael). This report examines the successes and lessons learned from existing high-speed rail projects in Europe and Asia, including 50 hours of interviews…