- Publication Date:
- NSF-PAR ID:
- 10251386
- Journal Name:
- Journal of Urban Affairs
- Page Range or eLocation-ID:
- 1 to 18
- ISSN:
- 0735-2166
- Sponsoring Org:
- National Science Foundation
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Introduction Integrated social and ecological processes shape urban plant communities, but the temporal dynamics and potential for change in these managed communities have rarely been explored. In residential yards, which cover about 40% of urban land area, individuals make decisions that control vegetation outcomes. These decisions may lead to relatively static plant composition and structure, as residents seek to expend little effort to maintain stable landscapes. Alternatively, residents may actively modify plant communities to meet their preferences or address perceived problems, or they may passively allow them to change. In this research, we ask, how and to what extent does residential yard vegetation change over time? Methods We conducted co-located ecological surveys of yards (in 2008, 2018, and 2019) and social surveys of residents (in 2018) in four diverse neighborhoods of Phoenix, Arizona. Results 94% of residents had made some changes to their front or back yards since moving in. On average, about 60% of woody vegetation per yard changed between 2008 and 2018, though the number of species present did not differ significantly. In comparison, about 30% of woody vegetation changed in native Sonoran Desert reference areas over 10 years. In yards, about 15% of woody vegetation changed on averagemore »
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We examine the uneven social and spatial distributions of COVID-19 and their relationships with indicators of social vulnerability in the U.S. epicenter, New York City (NYC). As of July 17th, 2020, NYC, despite having only 2.5% of the U.S. population, has [Formula: see text]6% of all confirmed cases, and [Formula: see text]16% of all deaths, making it a key learning ground for the social dynamics of the disease. Our analysis focuses on the multiple potential social, economic, and demographic drivers of disproportionate impacts in COVID-19 cases and deaths, as well as population rates of testing. Findings show that immediate impacts of COVID-19 largely fall along lines of race and class. Indicators of poverty, race, disability, language isolation, rent burden, unemployment, lack of health insurance, and housing crowding all significantly drive spatial patterns in prevalence of COVID-19 testing, confirmed cases, death rates, and severity. Income in particular has a consistent negative relationship with rates of death and disease severity. The largest differences in social vulnerability indicators are also driven by populations of people of color, poverty, housing crowding, and rates of disability. Results highlight the need for targeted responses to address injustice of COVID-19 cases and deaths, importance of recovery strategiesmore »
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Abstract Pilot projects have emerged in cities globally as a way to experiment with the utilization of a suite of smart mobility and emerging transportation technologies. Automated vehicles (AVs) have become central tools for such projects as city governments and industry explore the use and impact of this emerging technology. This paper presents a large-scale assessment of AV pilot projects in U.S. cities to understand how pilot projects are being used to examine the risks and benefits of AVs, how cities integrate these potentially transformative technologies into conventional policy and planning, and how and what they are learning about this technology and its future opportunities and risks. Through interviews with planning practitioners and document analysis, we demonstrate that the approaches cities take for AVs differ significantly, and often lack coherent policy goals. Key findings from this research include: (1) a disconnect between the goals of the pilot projects and a city’s transportation goals; (2) cities generally lack a long-term vision for how AVs fit into future mobility systems and how they might help address transportation goals; (3) an overemphasis of non-transportation benefits of AV pilots projects; (4) AV pilot projects exhibit a lack of policy learning and iteration; and (5)more »
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Cloud Legal documents, like Privacy Policies and Terms of Services (ToS), include key terms and rules that enable consumers to continuously monitor the performance of the cloud services used in their organization. To ensure high consumer confidence in the cloud service, it is necessary that these documents are clear and comprehensible to the average consumer. However, in practice, service providers often use legalese and ambiguous language in cloud legal documents resulting in consumers consenting or rejecting the terms without understanding the details. A measure capturing ambiguity in the texts of cloud service documents will enable consumers to decide if they understand what they are agreeing to, and deciding whether that service will meet their organizational requirements. It will also allow them to compare the service policies across various vendors. We have developed a novel model, ViCLOUD, that defines a scoring method based on linguistic cues to measure ambiguity in cloud legal documents and compare them to other peer websites. In this paper, we describe the ViCLOUD model in detail along with the validation results when applying it to 112 privacy policies and 108 Terms of Service documents of 115 cloud service vendors. The score distribution gives us a landscape ofmore »
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Abstract As urgency grows to address global warming, younger generations can play a strategic role in mobilizing communities that have generally been more opposed to climate action and policy, such as political and religious conservatives in the United States. American evangelical Protestants—and white evangelicals in particular—are the largest religious group in the U.S. and also the most skeptical of climate science. There is growing interest, however, around whether evangelicals are becoming ‘greener,’ and whether climate attitudes among younger generations are diverging from their elders. We analyze empirical evidence for such generational divides by comparing data from two Climate Change in the American Mind surveys (
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