2023 Archives - Page 2 of 7

15. Integrated Studio: Trade-offs as a Mechanism for Collaboration

Borys, A.M., & Dossick, C.S. (2023). 15. Integrated Studio: Trade-offs as a Mechanism for Collaboration. In Kim, J. (Ed.), Interdisciplinary Design Thinking in Architecture Education. Routledge. ISBN 9781032283241.

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Abstract

This book explores the creative potential for architecture curricula to integrate solid interdisciplinary thinking in design studio education.

Annotated case studies, both from academic institutions and from professional practices, provide examples of interdisciplinary engagement in creative design work, highlighting the challenges and opportunities of this approach. Cases are from a diverse selection of international collaborators, featuring projects from the United States, Australia, Mexico, Germany, and Italy, and cover a range of project types and scales. Chapters by invited experts offer speculations on current and future models, situating examples within the broader context, and encouraging dialogue between practice and pedagogy. The collection of voices in this book offers critical and provocative lenses, learning from history while forging inventive and creative roles for the architect as practitioner, entrepreneur, strategist, choreographer, activist, facilitator, leader, and teacher.

Interdisciplinary Design Thinking provides insights into the potential of interdisciplinary engagement at the level of foundational undergraduate education, making it ideal for faculty in architecture schools. It will also be of interest to design professionals concerned with interdisciplinary collaboration and how to incorporate similar efforts in their own practices.

3. Questioning “Best” Practices in Architectural Education

Cheng, R. (2023). 3. Questioning “Best” Practices in Architectural Education. In Kim, J. (Ed.), Interdisciplinary Design Thinking in Architecture Education. Routledge. ISBN 9781032283241.

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Abstract

This book explores the creative potential for architecture curricula to integrate solid interdisciplinary thinking in design studio education.

14. Building Beloved Community through the University of Washington’s Nehemiah Interdisciplinary Studio

Berney, R., Born, B. & King, D. (2023). 14. Building Beloved Community through the University of Washington’s Nehemiah Interdisciplinary Studio. In Kim, J. (Ed.), Interdisciplinary Design Thinking in Architecture Education. Routledge. ISBN 9781032283241.

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Abstract

This book explores the creative potential for architecture curricula to integrate solid interdisciplinary thinking in design studio education.

Causal effects of place, people, and process on rooftop solar adoption through Bayesian inference

Min, Y., & Ko, I. (2023). Causal effects of place, people, and process on rooftop solar adoption through Bayesian inference. Energy (Oxford), 285, 129510-. https://doi.org/10.1016/j.energy.2023.129510.

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Abstract

While previous studies have established correlations between rooftop solar adoption and various factors, a comprehensive understanding of the underlying causal mechanisms has been limited by the intricate interrelationships among these variables. To address this gap, we propose a Bayesian causal inference approach that examines the interplay of various factors influencing rooftop solar adoption across multiple cities. By employing post-phenomenology, we uncover latent variables encompassing place, people, and process, shedding light on how they shape public responses to emerging energy technologies. We analyze the causal effects of these factors and highlight the significance of housing and built environment attributes in determining energy expenditure and rooftop solar adoption, emphasizing the need for policies that target energy equity. Additionally, we reveal the influence of neighborhood spillovers on adoption, indicating the role of social norms and information diffusion. The observed city-level variability underscores the importance of local contexts and location-specific factors in the adoption process. Furthermore, we highlight the need to consider causal relationships and the indirect effects of people-related attributes mediated through place-related attributes. Overall, these findings contribute to a deeper understanding of the factors shaping rooftop solar adoption via causal modeling and underscore the importance of tailored policies to promote adoption.

Keywords

Spillover effects; Energy equity; Post-phenomenology; Ignorability; Factor analysis; Clean energy; Photovoltaic systems; Overcoming barriers; Technology adoption; Decision-making; Energy justice; United-States; Vulnerability; Diffusion; Deployment; Responses

Can ChatGPT Evaluate Plans?

Xinyu Fu, Ruoniu Wang & Chaosu Li (2023). Can ChatGPT Evaluate Plans?, Journal of the American Planning Association, DOI: 10.1080/01944363.2023.2271893

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Abstract

Problem, research strategy, and findings
Large language models, such as ChatGPT, have recently risen to prominence in producing human-like conversation and assisting with various tasks, particularly for analyzing high-dimensional textual materials. Because planning researchers and practitioners often need to evaluate planning documents that are long and complex, a first-ever possible question has emerged: Can ChatGPT evaluate plans? In this study we addressed this question by leveraging ChatGPT to evaluate the quality of plans and compare the results with those conducted by human coders. Through the evaluation of 10 climate change plans, we discovered that ChatGPT’s evaluation results coincided reasonably well (with an average of 68%) with those from the traditional content analysis approach. We further scrutinized the differences by conducting a more in-depth analysis of the results from ChatGPT and manual evaluation to uncover what might have contributed to the variance in results. Our findings indicate that ChatGPT struggled to comprehend planning-specific jargon, yet it could reduce human errors by capturing details in complex planning documents. Finally, we provide insights into leveraging this cutting-edge technology in future planning research and practice.
Takeaway for practice
ChatGPT cannot be used to replace humans in plan quality evaluation yet. However, it is an effective tool to complement human coders to minimize human errors by identifying discrepancies and fact-checking machine-generated responses. ChatGPT generally cannot understand planning jargon, so planners wanting to use this tool should use extra caution when planning terminologies are present in their prompts. Creating effective prompts for ChatGPT is an iterative process that requires specific instructions.

Keywords

ChatGPT; large language model; natural language processing; plan evaluation; plan quality

Color as metaphor in architectural design

Minah, G. (2023). Color as metaphor in architectural design. Color Research and Application, 48(5), 536–542. https://doi.org/10.1002/col.22872

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Abstract

In the early stage of a building design, forming a design concept is the first step. The architect must assimilate and organize information involving spatial needs, engineering, building codes, and budget considerations. They must also consider its visual appearance, how the building fits into its physical context, and, most importantly, how to conceive of the building holistically as both functional and aesthetic. A process for accomplishing this will use a methodology associated with intuition and imagination. A metaphor is used that gives form to the building through an analogy that imitates its activities and function and serves as a device for conceiving of the building as a whole. Making a design diagram that defines the concept using the metaphor and showing the relationship of the critical parts of the building is the biggest challenge in this stage. A new approach is to assign color to these parts in the design diagram. With the metaphor as guide, the hierarchical status of the parts will be shown by the perceptual weight of the colors in juxtaposition to one another by contrasts in hue, value, and chroma. The results show that the addition of color increases the clarity and comprehension of the design concept in the eyes of the designer, in visual presentations to faculty in academic settings, and to clients in the profession. The color decisions latter in the process may differ from those used in the diagram, but these decisions will adhere to the established hierarchies of the building parts as foreground or background colors. This methodology is intended to be a tool for students in architecture as well as professional architects.

Economic resilience during COVID-19: the case of food retail businesses in Seattle, Washington

Sun, F., Whittington, J., Ning, S., Proksch, G., Shen, Q., & Dermisi, S. (2023). Economic resilience during COVID-19: the case of food retail businesses in Seattle, Washington. Frontiers in Built Environment, 9. https://doi.org/10.3389/fbuil.2023.1212244

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Abstract

The first year of COVID-19 tested the economic resilience of cities, calling into question the viability of density and the essential nature of certain types of services. This study examines built environment and socio-economic factors associated with the closure of customer-facing food businesses across urban areas of Seattle, Washington. The study covers 16 neighborhoods (44 census block groups), with two field audits of businesses included in cross-sectional studies conducted during the peak periods of the pandemic in 2020. Variables describing businesses and their built environments were selected and classified using regression tree methods, with relationships to business continuity estimated in a binomial regression model, using business type and neighborhood socio-demographic characteristics as controlled covariates. Results show that the economic impact of the pandemic was not evenly distributed across the built environment. Compared to grocery stores, the odds of a restaurant staying open during May and June were 24%, only improving 10% by the end of 2020. Density played a role in business closure, though this role differed over time. In May and June, food retail businesses were 82% less likely to remain open if located within a quarter-mile radius of the office-rich areas of the city, where pre-pandemic job density was greater than 95 per acre. In November and December, food retail businesses were 66% less likely to remain open if located in areas of residential density greater than 23.6 persons per acre. In contrast, median household income and percentage of non-Asian persons of color were positively and significantly associated with business continuity. Altogether, these findings provide more detailed and accurate profiles of food retail businesses and a more complete impression of the spatial heterogeneity of urban economic resilience during the pandemic, with implications for future urban planning and real estate development in the post-pandemic era.

Neighborhood greenspace and neighborhood income associated with white matter grade worsening: Cardiovascular Health Study

Besser, L. M., Lovasi, G. S., Zambrano, J. J., Camacho, S., Dhanekula, D., Michael, Y. L., Garg, P., Hirsch, J. A., Siscovick, D., Hurvitz, P. M., Biggs, M. L., Galvin, J. E., Bartz, T. M., & Longstreth, W. T. (2023). Neighborhood greenspace and neighborhood income associated with white matter grade worsening: Cardiovascular Health Study. Alzheimer’s & Dementia : Diagnosis, Assessment & Disease Monitoring, 15(4), e12484–e12484. https://doi.org/10.1002/dad2.12484

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Abstract

INTRODUCTION
We examined whether a combined measure of neighborhood greenspace and neighborhood median income was associated with white matter hyperintensity (WMH) and ventricle size changes.

METHODS
The sample included 1260 cognitively normal ≥ 65‐year‐olds with two magnetic resonance images (MRI; ≈ 5 years apart). WMH and ventricular size were graded from 0 (least) to 9 (most) abnormal (worsening = increase of ≥1 grade from initial to follow‐up MRI scans). The four‐category neighborhood greenspace–income measure was based on median neighborhood greenspace and income values at initial MRI. Multivariable logistic regression tested associations between neighborhood greenspace–income and MRI measures (worsening vs. not).

RESULTS
White matter grade worsening was more likely for those in lower greenspace–lower income neighborhoods than higher greenspace–higher income neighborhoods (odds ratio = 1.73; 95% confidence interval = 1.19–2.51).

DISCUSSION
The combination of lower neighborhood income and lower greenspace may be a risk factor for worsening white matter grade on MRI. However, findings need to be replicated in more diverse cohorts.

HIGHLIGHTS
Population‐based cohort of older adults (≥ 65 years) with greenspace and MRI data
Combined measure of neighborhood greenspace and neighborhood income at initial MRI
MRI outcomes included white matter hyperintensities (WMH) and ventricular size
Longitudinal change in MRI outcomes measured approximately 5 years apart
Worsening WMH over time more likely for lower greenspace‐lower income neighborhoods

Keywords

built environment; green space; magnetic resonance imaging; neighborhood; socioeconomic status

Decoding the dynamics of BIM use practice in construction projects

Hu, Y., & Dossick, C. S. (2023). Decoding the dynamics of BIM use practice in construction projects. Construction Management and Economics, 1–25. https://doi.org/10.1080/01446193.2023.2277925

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Abstract

Over the past two decades, thought leaders positioned Building Information Modeling (BIM) as a driver to change the Architecture, Engineering, and Construction (AEC) industry. However, instances of unexpected BIM use have surfaced, with projects often shifting from BIM to hybrid or even solely 2D practices midway. What technology use conditions cause these practice-based rejections of BIM use and how these happen have not been fully explored and make BIM cannot fully play its role in a project. To fill this gap, we use structuration theory as a theoretical lens to analyze the interactions between BIM and project teams and explore how three technology use conditions, (interpretive, technological, and institutional), impact the interactions, which finally shape technology use practices. Specifically, a case study method has been selected. The research team attended a project for two years, collected meeting observations, and conducted surveys and interviews to track the emergent and situated BIM use practice in an integrated project setting with technology use conditions that changed over the course of the project. We analyzed how the three technology use conditions impacted the interactions between BIM and project teams in different ways and how these impacted change in different project phases. We conclude that the sustained use of BIM requires the alignment of project organizations with BIM features and alignment with both top-down and bottom-up investment in practice change, which includes motivation for senior management investment in a sustained project team, in individual capability training, and in early planning.

Keywords

Building information modeling; structuration theory; technology-in-practice; practice lens

Developing a multi-criteria prioritization tool to catalyze TOD on publicly owned land areas

Cai, M., Acolin, A., Moudon, A. V., & Shen, Q. (2023). Developing a multi-criteria prioritization tool to catalyze TOD on publicly owned land areas. Cities, 143, 104606-. https://doi.org/10.1016/j.cities.2023.104606

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Abstract

Public agencies can take a leading role in catalyzing TOD by making land available to developers (selling or leasing land, potentially below market prices). In particular, park-and-ride areas that are publicly owned can be leveraged to support TOD uses, such as affordable housing, office space, small businesses, and mixed-use buildings given their convenient access to transit systems and often large land areas. However, few previous studies have discussed the use of publicly owned park-and-rides, which are an important component of publicly owned land, as a catalyst for TOD. To fill the gap in the literature and effectively support TOD planning, this research developed a multi-criteria prioritization tool to identify the most promising locations for TOD and tested it at three park-and-ride sites owned by the Washington State Department of Transportation. The tool was developed through the Delphi process, which is an effective and inexpensive approach to evaluate relevant indicators by synthesizing the opinions of experts from various backgrounds. Five categories with a total of 14 TOD indicators, including transit supportive land-use zoning, job accessibility, land price, land-use mix, and household income, were selected as measures of TOD suitability. The importance of these indicators varied with three different TOD scenarios: (1) emphasis on affordable housing, (2) emphasis on market-rate housing, and (3) emphasis on mixed-use development. Using the calculated suitability scores, this tool can prioritize potential TOD sites for further review.

Keywords

TOD; Delphi method; Multi-criteria planning tool; Multi-sources geospatial data; Publicly owned land