Matching Items (6)
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- All Subjects: Climate Change
- All Subjects: Geographic information systems
- Genre: Academic theses
- Creators: Boone, Christopher
Description
This dissertation explores vulnerability to extreme heat hazards in the Maricopa County, Arizona metropolitan region. By engaging an interdisciplinary approach, I uncover the epidemiological, historical-geographical, and mitigation dimensions of human vulnerability to extreme heat in a rapidly urbanizing region characterized by an intense urban heat island and summertime heat waves. I first frame the overall research within global climate change and hazards vulnerability research literature, and then present three case studies. I conclude with a synthesis of the findings and lessons learned from my interdisciplinary approach using an urban political ecology framework. In the first case study I construct and map a predictive index of sensitivity to heat health risks for neighborhoods, compare predicted neighborhood sensitivity to heat-related hospitalization rates, and estimate relative risk of hospitalizations for neighborhoods. In the second case study, I unpack the history and geography of land use/land cover change, urban development and marginalization of minorities that created the metropolitan region's urban heat island and consequently, the present conditions of extreme heat exposure and vulnerability in the urban core. The third study uses computational microclimate modeling to evaluate the potential of a vegetation-based intervention for mitigating extreme heat in an urban core neighborhood. Several findings relevant to extreme heat vulnerability emerge from the case studies. First, two main socio-demographic groups are found to be at higher risk for heat illness: low-income minorities in sparsely-vegetated neighborhoods in the urban core, and the elderly and socially-isolated in the expansive suburban fringe of Maricopa County. The second case study reveals that current conditions of heat exposure in the region's urban heat island are the legacy of historical marginalization of minorities and large-scale land-use/land cover transformations of natural desert land covers into heat-retaining urban surfaces of the built environment. Third, summertime air temperature reductions in the range 0.9-1.9 °C and of up to 8.4 °C in surface temperatures in the urban core can be achieved through desert-adapted canopied vegetation, suggesting that, at the microscale, the urban heat island can be mitigated by creating vegetated park cool islands. A synthesis of the three case studies using the urban political ecology framework argues that climate changed-induced heat hazards in cities must be problematized within the socio-ecological transformations that produce and reproduce urban landscapes of risk. The interdisciplinary approach to heat hazards in this dissertation advances understanding of the social and ecological drivers of extreme heat by drawing on multiple theories and methods from sociology, urban and Marxist geography, microclimatology, spatial epidemiology, environmental history, political economy and urban political ecology.
ContributorsDeclet-Barreto, Juan (Author) / Harlan, Sharon L (Thesis advisor) / Bolin, Bob (Thesis advisor) / Hirt, Paul (Committee member) / Boone, Christopher (Committee member) / Arizona State University (Publisher)
Created2013
Description
Despite the arid climate of Maricopa County, Arizona, vector-borne diseases have presented significant health challenges to the residents and public health professionals of Maricopa County in the past, and will continue to do so in the foreseeable future. Currently, West Nile virus is the only mosquitoes-transmitted disease actively, and natively, transmitted throughout the state of Arizona. In an effort to gain a more complete understanding of the transmission dynamics of West Nile virus this thesis examines human, vector, and environment interactions as they exist within Maricopa County. Through ethnographic and geographic information systems research methods this thesis identifies 1) the individual factors that influence residents' knowledge and behaviors regarding mosquitoes, 2) the individual and regional factors that influence residents' knowledge of mosquito ecology and the spatial distribution of local mosquito populations, and 3) the environmental, demographic, and socioeconomic factors that influence mosquito abundance within Maricopa County. By identifying the factors that influence human-vector and vector-environment interactions, the results of this thesis may influence current and future educational and mosquito control efforts throughout Maricopa County.
ContributorsKunzweiler, Colin (Author) / Boone, Christopher (Thesis advisor) / Wutich, Amber (Committee member) / Brewis-Slade, Alexandra (Committee member) / Arizona State University (Publisher)
Created2013
Description
Extreme hot-weather events have become life-threatening natural phenomena in many cities around the world, and the health impacts of excessive heat are expected to increase with climate change (Huang et al. 2011; Knowlton et al. 2007; Meehl and Tebaldi 2004; Patz 2005). Heat waves will likely have the worst health impacts in urban areas, where large numbers of vulnerable people reside and where local-scale urban heat island effects (UHI) retard and reduce nighttime cooling. This dissertation presents three empirical case studies that were conducted to advance our understanding of human vulnerability to heat in coupled human-natural systems. Using vulnerability theory as a framework, I analyzed how various social and environmental components of a system interact to exacerbate or mitigate heat impacts on human health, with the goal of contributing to the conceptualization of human vulnerability to heat. The studies: 1) compared the relationship between temperature and health outcomes in Chicago and Phoenix; 2) compared a map derived from a theoretical generic index of vulnerability to heat with a map derived from actual heat-related hospitalizations in Phoenix; and 3) used geospatial information on health data at two areal units to identify the hot spots for two heat health outcomes in Phoenix. The results show a 10-degree Celsius difference in the threshold temperatures at which heat-stress calls in Phoenix and Chicago are likely to increase drastically, and that Chicago is likely to be more sensitive to climate change than Phoenix. I also found that heat-vulnerability indices are sensitive to scale, measurement, and context, and that cities will need to incorporate place-based factors to increase the usefulness of vulnerability indices and mapping to decision making. Finally, I found that identification of geographical hot-spot of heat-related illness depends on the type of data used, scale of measurement, and normalization procedures. I recommend using multiple datasets and different approaches to spatial analysis to overcome this limitation and help decision makers develop effective intervention strategies.
ContributorsChuang, Wen-Ching (Author) / Gober, Patricia (Thesis advisor) / Boone, Christopher (Committee member) / Guhathakurta, Subhrajit (Committee member) / Ruddell, Darren (Committee member) / Arizona State University (Publisher)
Created2013
Description
As urban populations become increasingly dense, massive amounts of new 'big' data that characterize human activity are being made available and may be characterized as having a large volume of observations, being produced in real-time or near real-time, and including a diverse variety of information. In particular, spatial interaction (SI) data - a collection of human interactions across a set of origins and destination locations - present unique challenges for distilling big data into insight. Therefore, this dissertation identifies some of the potential and pitfalls associated with new sources of big SI data. It also evaluates methods for modeling SI to investigate the relationships that drive SI processes in order to focus on human behavior rather than data description.
A critical review of the existing SI modeling paradigms is first presented, which also highlights features of big data that are particular to SI data. Next, a simulation experiment is carried out to evaluate three different statistical modeling frameworks for SI data that are supported by different underlying conceptual frameworks. Then, two approaches are taken to identify the potential and pitfalls associated with two newer sources of data from New York City - bike-share cycling trips and taxi trips. The first approach builds a model of commuting behavior using a traditional census data set and then compares the results for the same model when it is applied to these newer data sources. The second approach examines how the increased temporal resolution of big SI data may be incorporated into SI models.
Several important results are obtained through this research. First, it is demonstrated that different SI models account for different types of spatial effects and that the Competing Destination framework seems to be the most robust for capturing spatial structure effects. Second, newer sources of big SI data are shown to be very useful for complimenting traditional sources of data, though they are not sufficient substitutions. Finally, it is demonstrated that the increased temporal resolution of new data sources may usher in a new era of SI modeling that allows us to better understand the dynamics of human behavior.
A critical review of the existing SI modeling paradigms is first presented, which also highlights features of big data that are particular to SI data. Next, a simulation experiment is carried out to evaluate three different statistical modeling frameworks for SI data that are supported by different underlying conceptual frameworks. Then, two approaches are taken to identify the potential and pitfalls associated with two newer sources of data from New York City - bike-share cycling trips and taxi trips. The first approach builds a model of commuting behavior using a traditional census data set and then compares the results for the same model when it is applied to these newer data sources. The second approach examines how the increased temporal resolution of big SI data may be incorporated into SI models.
Several important results are obtained through this research. First, it is demonstrated that different SI models account for different types of spatial effects and that the Competing Destination framework seems to be the most robust for capturing spatial structure effects. Second, newer sources of big SI data are shown to be very useful for complimenting traditional sources of data, though they are not sufficient substitutions. Finally, it is demonstrated that the increased temporal resolution of new data sources may usher in a new era of SI modeling that allows us to better understand the dynamics of human behavior.
ContributorsOshan, Taylor Matthew (Author) / Fotheringham, A. S. (Thesis advisor) / Farmer, Carson J.Q. (Committee member) / Rey, Sergio S.J. (Committee member) / Nelson, Trisalyn (Committee member) / Arizona State University (Publisher)
Created2017
Description
Sustainable communities discourse, literature and initiatives have essentially excluded poor marginalized communities at a time when sustainability efforts require more stakeholders and stakeholder involvement. The families in poor marginalized communities of color in the United States are struggling to meet basic needs (food, medicine, shelter, safety). Additionally, in these communities there is a disproportionate level of forced mobility to prisons, jails and detention centers. These communities are unsustainable. This dissertation is comprised of three articles. I present in the first article (published in Sustainability Journal) an argument for a definition of sustainability that includes recognition of the major, complex and persistent problems faced daily by poor marginalized communities of color (African American, Hispanic/Latino, Native American) including those connected to mass incarceration and high recidivism. I also propose a system-of-communities conceptual framework. In my second article, I explore sustainability assessment tools and find them to be inadequate for measuring the progress toward sustainability of poor marginalized communities with high incarceration and recidivism rates. In order to fill this gap, I developed the Building Sustainable Communities Framework and a Social Reintegration, Inclusion, Cohesion, Equity (Social R.I.C.E.) Transition Tool, a qualitative interview guide (a precursor to the development of a community sustainability assessment tool). In the third article, I test the utility of the Building Sustainable Communities Framework and Social R.I.C.E. Transition Tool through a community-based participatory action study: The Building Sustainable Communities-Repairing the Harm of Incarceration Pilot Project. Three types of participants were included, formerly incarcerated, family members of formerly incarcerated and community members. The Restorative Justice Circle process (based on a traditional practice of Native Americans and other indigenous peoples) was also introduced to the groups for the purpose of having discussions and sharing personal stories in a safe, nonthreatening, confidential and equitable space. During the study, data was gathered for reflexive thematic analysis from two participant groups, in-depth interviews, focus groups and short qualitative surveys. The findings reflect the community is in dire need of a path to stability and sustainability and needs the knowledge and tools to help them make collective community decisions about present and future sustainability issues.
ContributorsAdams, Muriel (Author) / Chhetri, Nalini (Thesis advisor) / Klinsky, Sonja (Thesis advisor) / Boone, Christopher (Committee member) / Pranis, Kay (Committee member) / Arizona State University (Publisher)
Created2021
Description
Despite the urgent need to reduce global greenhouse gas emissions (GHGs), there has been a lack of national climate action leadership in the United States. In this vacuum, the need for subnational action, particularly at the local level, has become essential. But cities only have the authority granted them by their state. Thus, many cities thus take climate action consistent, or in-sync, with their state. However, other cities take climate action inconsistent, or out-of-sync, with their state. This study examines this in-sync, out-of-sync phenomenon using a multilevel, multiple case study approach to determine the multilevel dynamics influencing whether a city is taking climate action. The study compares two states at opposite ends of the climate mitigation spectrum—Idaho, a state not taking any mitigation action, and Washington, a state taking aggressive mitigation action—and two cities within each of these states, with one city in-sync and the other out-of-sync with its state on climate action. The results show ideology/political affiliation as the most significant factor influencing state and city climate policy: progressive leaning cities/state are engaging in climate mitigation action; conservative leaning cities/state are not. This result was expected, but the study revealed many nuances that were not. For example, the strength of a city’s ideological leaning can overcome disabling state authority. Ideological leaning impacts whether non-state actors are a driver or barrier to climate action. Policy experimentation is found only in progressive cities. Co-benefits manifest in different ways, depending on ideological leaning and whether a city is in- or out-of-sync. And policy champion influence can be fully realized only with supportive elected leadership.
This study highlights important interplays between drivers and barriers cities face in addressing climate change in a multilevel setting; how those interplays can help or hinder municipal climate action; and strategies cities employ to address challenges they face. The study findings thus contribute to the understanding of why and how cities take climate action, and how barriers to action can be overcome. This understanding is essential for providing a path forward on municipal climate action and accelerating the reduction of municipal GHG emissions.
ContributorsMusgrove, Sheryl Louise (Author) / Klinsky, Sonja (Thesis advisor) / Boone, Christopher (Committee member) / York, Abigail (Committee member) / Bodansky, Daniel (Committee member) / Arizona State University (Publisher)
Created2021