Urban Design and Planning Archives - Page 5 of 43

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

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

Cities of the Anthropocene: urban sustainability in an eco-evolutionary perspective

Alberti, Marina. (2023). Cities of the Anthropocene: urban sustainability in an eco-evolutionary perspective. Philosophical Transactions of the Royal Society B, 379:20220264. 20220264.

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Abstract

Cities across the globe are driving systemic change in social and ecological systems by accelerating the rates of interactions and intensifying the links between human activities and Earth's ecosystems, thereby expanding the scale and influence of human activities on fundamental processes that sustain life. Increasing evidence shows that cities not only alter biodiversity, they change the genetic makeup of many populations, including animals, plants, fungi and microorganisms. Urban-driven rapid evolution in species traits might have significant effects on socially relevant ecosystem functions such as nutrient cycling, pollination, water and air purification and food production. Despite increasing evidence that cities are causing rapid evolutionary change, current urban sustainability strategies often overlook these dynamics. The dominant perspectives that guide these strategies are essentially static, focusing on preserving biodiversity in its present state or restoring it to pre-urban conditions. This paper provides a systemic overview of the socio-eco-evolutionary transition associated with global urbanization. Using examples of observed changes in species traits that play a significant role in maintaining ecosystem function and resilience, I propose that these evolutionary changes significantly impact urban sustainability. Incorporating an eco-evolutionary perspective into urban sustainability science and planning is crucial for effectively reimagining the cities of the Anthropocene.

This article is part of the theme issue ‘Evolution and sustainability: gathering the strands for an Anthropocene synthesis’.

Associate Professor Manish Chalana Embarking on Fulbright-Nehru Fellowship March 2024

Historic preservation (or “heritage conservation” in India) is the practice of identifying, managing, and interpreting the historical record in the built environment. For many people, the resulting presence of these tangible reminders in their day-to-day world plays a major role in shaping their perceptions of who has contributed what to their nation’s development. The magnitude and challenges of these tasks have increased dramatically in contemporary times, as the field has begun to grapple with the complexity of history. This is…

Dan Abramson working with Westport, WA community to create a tsunami response plan

Dan Abramson is one of the researchers working with costal town Westport, WA to develop a tsunami response plan. Abramson is an Associate Professor in the Urban Design and Planning department. “When the ‘big one’ hits — a magnitude 9.0 or higher Cascadia subduction zone earthquake — researchers and officials predict that within minutes of the shaking a wall of water reaching 40 feet tall will inundate the coastline, including Westport.” This indicates the importance of this response plan. Read…

Understanding the role of individual- and community-based resources in disaster preparedness

Nguyễn, L. T., Bostrom, A., Abramson, D. B., & Moy, P. (2023). Understanding the role of individual- and community-based resources in disaster preparedness. International Journal of Disaster Risk Reduction, 96, 103882–. https://doi.org/10.1016/j.ijdrr.2023.103882

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Abstract

Standard emergency management practice in the U.S measures disaster preparedness as an individual household attribute based on amounts of stocked supplies, hazard mitigation actions, and emergency planning. Such measures generally fail to consider how norms of trust, fairness, and reciprocity, as well as networks of social relationships—that is, social capital—can facilitate coordination and enable sharing and communal action in the face of disaster. Our study assesses how shared resources, social capital, and day-to-day resources (specifically, food and water) could influence earthquake disaster preparedness across different communities. Using Seattle as the site of investigation, the study involved a split-ballot experiment embedded in a mail survey of a random sample of households. These households were stratified by zip codes selected for their contrasting demographics (N = 1340). Half of the households in each zip code answered conventional individualistic measures of disaster preparedness, while the other half answered questions regarding resources they, their family, friends, and neighbors might share. In racial-majority-dominated zip codes, reported preparedness was higher when people were asked to consider shared resources. Disaster preparedness also appeared to be underestimated with the traditional measure. Households with greater bridging social capital (connections with individuals who differ in their social identity but who may share some similar interests) and longer neighborhood tenure also reported higher preparedness. Our findings suggest disaster preparedness efforts should focus on supplementing individual preparedness with daily resources, social capital, and collective shareable community assets—a focus that we call “mainstreaming.”

Keywords

Disaster preparedness; Social capital; Asset-based; Readiness; Resilience; Earthquakes

Factors Influencing Willingness to Share Resources Postdisaster: A Cross-Cultural Comparison between US and Japanese Communities

Idziorek, K., Abramson, D. B., Kitagawa, N., Yamamoto, T., & Chen, C. (2023). Factors Influencing Willingness to Share Resources Postdisaster: A Cross-Cultural Comparison between US and Japanese Communities. Natural Hazards Review, 24(4). https://doi.org/10.1061/NHREFO.NHENG-1836

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Abstract

When large-scale disasters occur, people often are left on their own to seek critical resources: food, water, medications, and other important items. Historically, government agencies have developed disaster preparedness strategies focused primarily on either the level of the individual or household or on the ability of government agents to provide relief to affected areas. Such approaches do not consider the potential for community members to share needed resources with one another—a crucial factor in survival when earthquakes, floods, landslides, and other disruptions to transportation and communications cut off whole communities from external aid. In this study, we used a simple random sample survey to measure households’ actual and perceived preparedness and assess individuals’ willingness to share essential resources following a large disaster using survey data gathered from three communities in the Pacific Northwest of the US (𝑁=638; overall response rate 20.1%) and Nagoya, Japan (𝑁=1,043; response rate 13.6%), two regions that expect to experience a magnitude 9.0 megaquake. Analysis of the survey data using an ordered response probit model found that the strength of social ties and levels of social trust strongly influence willingness to share in both regions. Differences between the Japanese and American responses suggest different dependencies on and roles for government agencies in the two societies, as well as differences in the types of resources that community members are willing to share, and with whom. Trust emerges as the most important factor across both study regions and for all resources. Willingness to share may be enhanced through trust-building interventions and should be regarded as an effective focus for preparedness efforts, especially if it is shown to be beneficial for a variety of social purposes.

Does high-speed rail mitigate peak vacation car traffic to tourist city? Evidence from China

Pan, H., Gao, Y., Shen, Q., Moudon, A. V., Tuo, J., & Habib, K. N. (2023). Does high-speed rail mitigate peak vacation car traffic to tourist city? Evidence from China. Transport Policy, 143, 93–105. https://doi.org/10.1016/j.tranpol.2023.09.011

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Abstract

Tourist travel contributes greatly to transport problems in attractive tourist cities. To take full advantage of high-speed rail (HSR) for alleviating massive car traffic during the peak vacation period, this paper analyses the travel modes of domestic visitors to Shaoxing before and after the operation of HSR. Scenario-based comparison and a random-coefficients structure Mixed Logit (MXL) model with error components were adopted to analyze the travel mode change and the factors explaining tourists’ travel mode choices. Our findings show that the HSR modal share increased substantially at the expense of express buses, more than cars. Also, HSR was found to be less competitive than cars on toll-free days for medium short travel distances. The MXL model results indicate that HSR was more likely to be used over automobiles by young people, females, and one-destination travellers, for longer travel distances, and with high service frequency to Shaoxing. Besides, online booking services were highly associated with HSR use. Driving was favoured over HSR by higher income level groups, when travelling with family or friends, on toll-free national holidays. Current government policy to waive road tolls during the peak holiday period further induced car traffic to tourist cities. When individual taste was considered, tourists showed a similar preference in their valuation of the travel time variable, while were heterogenous in their preference for low per-distance cost. Our findings suggest that the adjustment of the road-toll policy, pre-booking design for targeted tourists, and measures to reduce the total travel time of HSR should be considered to promote HSR as well as impede the use of cars during peak periods. This study offers empirical evidence of achieving effective travel demand management and reducing car dependence through HSR and complementary measures.

Keywords

High-speed rail; Tourist mode choice; Tourist travel package; Travel demand management

Office of Research Annual Report for Fiscal Year 2023

The College of Built Environments Office of Research has completed the fiscal year 2023 Annual Report. This report highlights outcomes, accomplishments, and steps for future development related to research at CBE. The report features metrics on grants and contracts funding, along with other types of funding including internal UW support. Additionally, the report highlights spotlight stories that were published on the research portal, and other portal metrics such as publications added. The full report is available on the CBE Intranet…

Assessing Office Building Marketability before and after the Implementation of Energy Benchmarking and Disclosure Policies—Lessons Learned from Major U.S. Cities

Shang, L., Dermisi, S., Choe, Y., Lee, H. W., & Min, Y. (2023). Assessing Office Building Marketability before and after the Implementation of Energy Benchmarking and Disclosure Policies—Lessons Learned from Major U.S. Cities. Sustainability (Basel, Switzerland), 15(11), 8883–. https://doi.org/10.3390/su15118883

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Abstract

An increasing number of U.S. cities require commercial/office properties to publicly disclose their energy performance due to the adoption of energy benchmarking and disclosure policies. This level of transparency provides an additional in-depth assessment of a building’s performance beyond a sustainability certification (e.g., Energy Star, LEED) and may lead less energy-efficient buildings to invest in energy retrofits, therefore improving their marketability. However, the research is scarce on assessing the impact of such policies on office building marketability. This study tries to fill this gap by investigating the impact of energy benchmarking policies on the performance of office buildings in four major U.S. cities (New York; Washington, D.C.; San Francisco; and Chicago). We use interrupted time series analysis (ITSA), while accounting for sustainability certification, public policy adoption, and property real estate performance. The results revealed that in some cities, energy-efficient buildings generally perform better than less energy-efficient buildings after the policy implementation, especially if they are Class A. The real estate performances of energy-efficient buildings also exhibited continuously increasing trends after the policy implementation. However, due to potentially confounding factors, further analysis is required to conclude the policy impacts on energy-efficient buildings are more positive than those on less energy-efficient buildings.

Keywords

building energy benchmarking and disclosure policies; building energy efficiency; office buildings; time series modeling