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Data-driven real-time visualization of urban heat islands using mean radiant temperature for urban design

Rashtian, Z., Manesh, M. T., Tahsildoost, M., & Zomorodian, Z. S. (2025). Data-driven real-time visualization of urban heat islands using mean radiant temperature for urban design. Energy and Buildings, 115470-. https://doi.org/10.1016/j.enbuild.2025.115470

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Abstract

The Mean Radiant Temperature (Tmrt), is a critical indicator for understanding urban thermal comfort and microclimate conditions, particularly in urban areas experiencing higher temperatures compared to rural surroundings. Tmrt is heavily influenced by urban morphology, including building layout, street design, and green spaces which alter airflow, shading, and heat retention. Evaluating geometry alternatives during the early design stages in urban neighborhoods is challenging due to lengthy simulations and the need for extensive expertise in physical models. Recent studies have employed data-driven methods for quick design comparisons and new urban layout evaluations, successfully predicting Thermal indicators of Urban heat Island phenomenon but often limited by the diversity of urban configurations inputs used in training datasets. To address these limitations, this study proposes a novel framework that uses machine learning models to predict Tmrt as the primary indicator. A comprehensive training dataset of 200 cases was generated in Rhino7 using Grasshopper, Ladybug, and Dragonfly plugins. Sensitivity analysis was conducted to assess the impact of input uncertainties on model predictions, and the model’s performance was validated against unseen configurations. Among six machine learning algorithms tested, the CatBoost Regressor achieved the highest accuracy, predicting Tmrt with an R2 = 0.93, RMSE = 4.30 °C, and MAE = 2.34 °C. Validation using 20 additional cases showed an accuracy of R2 = 0.71, RMSE = 3.34 °C, and MAE = 2.27 °C in predicting Tmrt heat maps for new urban configurations. This framework successfully enables real-time Tmrt heat map analysis in simplified cubic neighborhoods within a 3D environment. Additionally, it enhances the temporal and spatial resolution of thermal patterns predictions, offering rapid and detailed insights into various urban design alternatives.

Affordable Housing in the United States

Colburn, Gregg, and Rebecca J. Walter. Affordable Housing in the United States. Routledge, 2025.

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Abstract

Affordable Housing in the United States addresses the issue of affordability of housing, or the lack thereof, going beyond conventional policy discussions to consider fundamental questions such as: What makes housing affordable and for whom is it affordable? What are the consequences of a lack of affordable housing? How is affordable housing created? And what steps can be taken to ensure all people have access to affordable housing?

With the understanding that different households face different challenges, the book begins by breaking down the variables relevant to the study of affordable housing, including housing costs, household income, geographic location, and market forces, to help readers understand and quantify affordability at the individual and societal level. Part II examines the consequences of unaffordable housing, highlighting racial inequities in housing access and affordability, and multiple forms of housing precarity including eviction and homelessness. Part III explores the entities involved in providing affordable housing such as local and federal governments, regulatory agencies, non-profit organizations, and for-profit developers. In Part IV, case studies from US cities demonstrate the complex web of organizations, policies, and market conditions that influence housing affordability, revealing substantial regional variations in access and policy response. Part V proposes a future roadmap and outlines four potential states with radically different outcomes for the affordable housing system in the United States.

An ideal book for graduate and undergraduate courses in economics, public policy, real estate finance and development, sociology, and urban planning, this title will also be of value to professionals and policymakers seeking to understand and improve housing affordability and access.

Do inclusionary zoning policies affect local housing markets? An empirical study in the United States

Ruoniu (Vince) Wang, Wei Kang, Xinyu Fu, Do inclusionary zoning policies affect local housing markets? An empirical study in the United States, Cities, Volume 158, 2025, 105736, ISSN 0264-2751, https://doi.org/10.1016/j.cities.2025.105736.

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Abstract

In the face of a housing affordability crisis, many cities have adopted inclusionary zoning (IZ) policies to increase the supply of affordable housing. Yet, IZ remains a controversial local policy due to its varied and inconclusive effects on housing market outcomes. This study investigates this debate by adopting a quasi-experimental design with a national dataset of IZ policies in the United States. We find that, on average, IZ policies did not affect municipality-wide housing permits or rents. However, the implementation of IZ resulted in an average of 2.1 % increase in home prices. Our results also underscore the connection between IZ policy design and market outcomes: more stringent IZ policies (i.e., those that are mandatory and apply to the entire jurisdiction) led to a higher impact on home prices while mitigating the rent effect. Additionally, IZ's market effects varied based on market conditions and the time elapsed since policy adoption. We discuss these findings in terms of implications for policy design and planning practice.

Keywords

Inclusionary zoning; Housing market outcome; Policy effect; United States; Staggered Difference-in-Differences

Innovative communication strategies for promoting urban wildlife habitat conservation

Waller, M., Cove, M. V., Daniels, J. C., & Yocom, K. P. (2025). Innovative communication strategies for promoting urban wildlife habitat conservation. Landscape and Urban Planning, 253, 105229-. https://doi.org/10.1016/j.landurbplan.2024.105229

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Abstract

The emerging recognition of the importance of urban habitat and wildlife for increasing biodiversity, driven partly by responses to climate change and urbanization, presents critical opportunities for urban biodiversity conservation and species recovery. However, effectively communicating these benefits to the public and policymakers remains a challenge for scientists and landscape architects with public perceptions, often shaped by diverse socio-cultural factors, serving as obstacles for garnering support. Our research explores innovative communication strategies through an intersectional analysis of planning and design communications and theory in museology and presents a structured approach in the use of charismatic species within interpretive studies to enhance public empathy and the potential for action. This research offers a valuable foundation for planning and design professionals, guiding their efforts to promote urban wildlife habitat and bridge the gaps between scientific knowledge and public advocacy.

Keywords

Urban wildlife habitat; Biodiversity conservation; Communication strategies