Matching Items (30)
Description
Researchers across a variety of fields are often interested in determining if data are of a random nature or if they exhibit patterning which may be the result of some alternative and potentially more interesting process. This dissertation explores a family of statistical methods, i.e. space-time interaction tests, designed to detect structure within three-dimensional event data. These tests, widely employed in the fields of spatial epidemiology, criminology, ecology and beyond, are used to identify synergistic interaction across the spatial and temporal dimensions of a series of events. Exploration is needed to better understand these methods and determine how their results may be affected by data quality problems commonly encountered in their implementation; specifically, how inaccuracy and/or uncertainty in the input data analyzed by the methods may impact subsequent results. Additionally, known shortcomings of the methods must be ameliorated. The contributions of this dissertation are twofold: it develops a more complete understanding of how input data quality problems impact the results of a number of global and local tests of space-time interaction and it formulates an improved version of one global test which accounts for the previously identified problem of population shift bias. A series of simulation experiments reveal the global tests of space-time interaction explored here to be dramatically affected by the aforementioned deficiencies in the quality of the input data. It is shown that in some cases, a conservative degree of these common data problems can completely obscure evidence of space-time interaction and in others create it where it does not exist. Conversely, a local metric of space-time interaction examined here demonstrates a surprising robustness in the face of these same deficiencies. This local metric is revealed to be only minimally affected by the inaccuracies and incompleteness introduced in these experiments. Finally, enhancements to one of the global tests are presented which solve the problem of population shift bias associated with the test and better contextualize and visualize its results, thereby enhancing its utility for practitioners.
ContributorsMalizia, Nicholas (Author) / Anselin, Luc (Thesis advisor) / Murray, Alan (Committee member) / Rey, Sergio (Committee member) / Arizona State University (Publisher)
Created2013
Description
Sustainable urbanism offers a set of best practice planning and design prescriptions intended to reverse the negative environmental consequences of urban sprawl, which dominates new urban development in the United States. Master planned developments implementing sustainable urbanism are proliferating globally, garnering accolades within the planning community and skepticism among social scientists. Despite attention from supporters and critics alike, little is known about the actual environmental performance of sustainable urbanism. This dissertation addresses the reasons for this paucity of evidence and the capacity of sustainable urbanism to deliver the espoused environmental outcomes through alternative urban design and the conventional master planning framework for development through three manuscripts. The first manuscript considers the reasons why geography, which would appear to be a natural empirical home for research on sustainable urbanism, has yet to accumulate evidence that links design alternatives to environmental outcomes or to explain the social processes that mediate those outcomes. It argues that geography has failed to develop a coherent subfield based on nature-city interactions and suggests interdisciplinary bridging concepts to invigorate greater interaction between the urban and nature-society geographic subfields. The subsequent chapters deploy these bridging concepts to empirically examine case-studies in sustainable urbanism. The second manuscript utilizes fine scale spatial data to quantify differences in ecosystem services delivery across three urban designs in two phases of Civano, a sustainable urbanism planned development in Tucson, Arizona, and an adjacent, typical suburban development comparison community. The third manuscript considers the extent to which conventional master planning processes are fundamentally at odds with urban environmental sustainability through interviews with stakeholders involved in three planned developments: Civano (Tucson, Arizona), Mueller (Austin, Texas), and Prairie Crossing (Grayslake, Illinois). Findings from the three manuscripts reveal deep challenges in conceptualizing an empirical area of inquiry on sustainable urbanism, measuring the outcomes of urban design alternatives, and innovating planning practice within the constraints of existing institutions that facilitate conventional development. Despite these challenges, synthesizing the insights of geography and cognate fields holds promise in building an empirical body of knowledge that complements pioneering efforts of planners to innovate urban planning practice through the sustainable urbanism alternative.
ContributorsTurner, Victoria (Author) / Gober, Patricia (Thesis advisor) / Eakin, Hallie (Committee member) / Kinzig, Ann (Committee member) / Talen, Emily (Committee member) / Arizona State University (Publisher)
Created2013
Description
Canal oriented development (COD) is a placemaking concept that aims to create mixed use developments along canal banks using the image and utility of the waterfront as a natural attraction for social and economic activity. COD has the potential to for landlocked cities, which are lacking a traditional harbor, to pursue waterfront development which has become an important economic development source in the post-industrial city. This dissertation examines how COD as a placemaking technique can and has been used in creating urban development. This topic is analyzed via three separate yet interconnecting papers. The first paper explores the historical notion of canals as an urban economic development tool with particular attention paid to the Erie Canal. The second paper explores the feasibility of what it would take for canal development to occur in the Phoenix region. The third and final paper explores the importance of place in urban design and the success or nonsuccess of COD as a place maker through the examination of three different CODs.
ContributorsBuckman, Stephen Thomas (Author) / Talen, Emily (Thesis advisor) / Ellin, Nan (Committee member) / Crewe, Katherine (Committee member) / Arizona State University (Publisher)
Created2013
Description
Literature on the design and management of urban parks has been informed by empirical research on the value of public space in terms of economic value, public health, social, and environmental benefits. Although there is significant value in discussing these benefits, there has been a lack of understanding about the production of public space as a normative goal. Neighborhood parks have been recognized as one of the key urban public spaces that serve the social, economic, and environmental needs of adjacent neighborhoods. However, relevant studies mostly focus on the contribution of neighborhood parks as discrete space, instead of neighborhood parks as built spaces within the urban context. This research provides a better understanding of the relationship between the context of surrounding neighborhoods and the success of neighborhood parks. The research addresses two major research questions. First, what are the major characteristics of the morphological context around neighborhood parks? Second, how do the characteristics of morphological context associate with the success of neighborhood parks? For the first question, the `context' refers to the layout and configuration of urban form including blocks, parcels, and buildings; street network; pedestrian-oriented attributes; and property land uses. For the second question, the `success' of neighborhood parks is defined by property/ violent crime rate. The study is based on a quarter mile buffer area around 150 neighborhood parks in the City of Chicago, Illinois. The research employed factor and cluster analysis to develop a typology of neighborhood park contexts. Multiple regression analysis was conducted to identify the relationship between park morphological contexts and crime rate. Based on understanding the dimensional structure of urban form elements, neighborhood park surroundings were classified into six categories. This study provided an alternative way of constructing public space typology based on surrounding urban form. The findings of regression analysis revealed that variables associated with higher-density, permeability, and mixed-use development do not necessarily correlate with reduced property/ violent crime rates. However, some variables representing `traditional neighborhood' characteristics were correlated with lower property/ violent crime rates. The study provides guidelines for urban design and physical planning strategies for neighborhood park development.
ContributorsLee, Sungduck (Author) / Talen, Emily (Thesis advisor) / Crewe, Katherine (Committee member) / Petrucci, Darren (Committee member) / Arizona State University (Publisher)
Created2013
Description
The lack of substantive, multi-dimensional perspectives on civic space planning and design has undermined the potential role of these valuable social and ecological amenities in advancing urban sustainability goals. Responding to these deficiencies, this dissertation utilized mixed quantitative and qualitative methods and synthesized multiple social and natural science perspectives to inform the development of progressive civic space planning and design, theory, and public policy aimed at improving the social, economic, and environmental health of cities. Using Phoenix, Arizona as a case study, the analysis was tailored to arid cities, yet the products and findings are flexible enough to be geographically customized to the social, environmental, built, and public policy goals of other urbanized regions. Organized into three articles, the first paper applies geospatial and statistical methods to analyze and classify urban parks in Phoenix based on multiple social, ecological, and built criteria, including landuse-land cover, `greenness,' and site amenities, as well as the socio- economic and built characteristics of park neighborhoods. The second article uses spatial empirical analysis to rezone the City of Phoenix following transect form-based code. The current park system was then assessed within this framework and recommendations are presented to inform the planning and design of civic spaces sensitive to their social and built context. The final paper culminates in the development of a planning tool and site design guidelines for civic space planning and design across the urban-to-natural gradient augmented with multiple ecosystem service considerations and tailored to desert cities.
ContributorsIbes, Dorothy (Author) / Talen, Emily (Thesis advisor) / Boone, Christopher (Committee member) / Crewe, Katherine (Committee member) / Arizona State University (Publisher)
Created2013
Description
This dissertation addresses the research challenge of developing efficient new methods for discovering useful patterns and knowledge in large volumes of electronically collected spatiotemporal activity data. I propose to analyze three types of such spatiotemporal activity data in a methodological framework that integrates spatial analysis, data mining, machine learning, and geovisualization techniques. Three different types of spatiotemporal activity data were collected through different data collection approaches: (1) crowd sourced geo-tagged digital photos, representing people's travel activity, were retrieved from the website Panoramio.com through information retrieval techniques; (2) the same techniques were used to crawl crowd sourced GPS trajectory data and related metadata of their daily activities from the website OpenStreetMap.org; and finally (3) preschool children's daily activities and interactions tagged with time and geographical location were collected with a novel TabletPC-based behavioral coding system. The proposed methodology is applied to these data to (1) automatically recommend optimal multi-day and multi-stay travel itineraries for travelers based on discovered attractions from geo-tagged photos, (2) automatically detect movement types of unknown moving objects from GPS trajectories, and (3) explore dynamic social and socio-spatial patterns of preschool children's behavior from both geographic and social perspectives.
ContributorsLi, Xun (Author) / Anselin, Luc (Thesis advisor) / Koschinsky, Julia (Committee member) / Maciejewski, Ross (Committee member) / Rey, Sergio (Committee member) / Griffin, William (Committee member) / Arizona State University (Publisher)
Created2012
Description
This is a study that tests the New Urbanist claims that neighborhood design impacts sense of community and residential habits. Through the framework provided by New Urbanist theories, a social survey is used to examine residential perception and behavior among three fringe neighborhoods in southeast Tucson, each representing a different approach to neighborhood design: New Urbanist, traditional suburban, and a hybrid variety. The primary relationships studied are between neighborhood design and use of public space, neighborhood design and travel habits, and neighborhood design and sense of community. The findings show that the New Urbanist community does support the highest levels of sense of community and use of public space, but conclusions cannot be drawn concerning the relationship between sense of community and travel behavior, especially non-vehicular travel to public space. While these results are inconclusive concerning the direct impact of the neighborhood type on certain behaviors and perceptions, the findings support the notion that a New Urbanist design does indeed enhance social interactions and use of public space. It also offers insight into the importance of residential preferences, not as much towards walkability but towards general environmental concern.
ContributorsSchwaller, Ellen (Author) / Talen, Emily (Thesis advisor) / Pijawka, K David (Committee member) / Crew, Katherine (Committee member) / Arizona State University (Publisher)
Created2012
Description
Species distribution modeling is used to study changes in biodiversity and species range shifts, two currently well-known manifestations of climate change. The focus of this study is to explore how distributions of suitable habitat might shift under climate change for shrub communities within the Santa Monica Mountains National Recreation Area (SMMNRA), through a comparison of community level to individual species level distribution modeling. Species level modeling is more commonly utilized, in part because community level modeling requires detailed community composition data that are not always available. However, community level modeling may better detect patterns in biodiversity. To examine the projected impact on suitable habitat in the study area, I used the MaxEnt modeling algorithm to create and evaluate species distribution models with presence only data for two future climate models at community and individual species levels. I contrasted the outcomes as a method to describe uncertainty in projected models. To derive a range of sensitivity outcomes I extracted probability frequency distributions for suitable habitat from raster grids for communities modeled directly as species groups and contrasted those with communities assembled from intersected individual species models. The intersected species models were more sensitive to climate change relative to the grouped community models. Suitable habitat in SMMNRA's bounds was projected to decline from about 30-90% for the intersected models and about 20-80% for the grouped models from its current state. Models generally captured floristic distinction between community types as drought tolerance. Overall the impact on drought tolerant communities, growing in hotter, drier habitat such as Coastal Sage Scrub, was predicted to be less than on communities growing in cooler, moister more interior habitat, such as some chaparral types. Of the two future climate change models, the wetter model projected less impact for most communities. These results help define risk exposure for communities and species in this conservation area and could be used by managers to focus vegetation monitoring tasks to detect early response to climate change. Increasingly hot and dry conditions could motivate opportunistic restoration projects for Coastal Sage Scrub, a threatened vegetation type in Southern California.
ContributorsJames, Jennifer (Author) / Franklin, Janet (Thesis advisor) / Rey, Sergio (Committee member) / Wentz, Elizabeth (Committee member) / Arizona State University (Publisher)
Created2014
Description
Research indicates that projected increases in global urban populations are not adequately addressed by current food production and planning. In the U.S., insufficient access to food, or the inability to access enough food for an active, healthy life affects nearly 15% of the population. In the face of these challenges, how are urban planners and other food system professionals planning for more resilient food systems? The purpose of this qualitative case study is to understand the planning and policy resources and food system approaches that might have the ability to strengthen food systems, and ultimately, urban resiliency. It proposes that by understanding food system planning in this context, planning approaches can be developed to strengthen urban food systems. The study uses the conceptual framework of urban planning for food, new community food systems, urban resiliency, and the theory of Panarchy as a model for urban planning and creation of new community food systems. Panarchy theory proposes that entrenched, non-diverse systems can change and adapt, and this study proposes that some U.S. cities are doing just that by planning for new community food systems. It studied 16 U.S. cities considered to be leaders in sustainability practices, and conducted semi-structured interviews with professionals in three of those cities: Portland, OR; San Francisco, CA; and Seattle, WA. The study found that these cities are using innovative methods in food system work, with professionals from many different departments and disciplines bringing interdisciplinary approaches to food planning and policy. Supported by strong executive leadership, these cities are creating progressive urban agriculture zoning policies and other food system initiatives, and using innovative educational programs and events to engage citizens at all socio-economic levels. Food system departments are relatively new, plans and policies among the cities are not consistent, and they are faced with limited resources to adequately track food system-related data. However they are still moving forward with programming to increase food access and improve their food systems. Food-system resiliency is recognized as an important goal, but cities are in varying stages of development for resiliency planning.
ContributorsTaylor, Constance M (Author) / Talen, Emily (Thesis advisor) / Crewe, Katherine (Committee member) / Pijawka, David (Committee member) / Arizona State University (Publisher)
Created2014
Description
The border policies of the United States and Mexico that have evolved over the previous decades have pushed illegal immigration and drug smuggling to remote and often public lands. Valuable natural resources and tourist sites suffer an inordinate level of environmental impacts as a result of activities, from new roads and trash to cut fence lines and abandoned vehicles. Public land managers struggle to characterize impacts and plan for effective landscape level rehabilitation projects that are the most cost effective and environmentally beneficial for a region given resource limitations. A decision support tool is developed to facilitate public land management: Borderlands Environmental Rehabilitation Spatial Decision Support System (BERSDSS). The utility of the system is demonstrated using a case study of the Sonoran Desert National Monument, Arizona.
ContributorsFisher, Sharisse (Author) / Murray, Alan T. (Thesis advisor) / Wentz, Elizabeth (Committee member) / Rey, Sergio (Committee member) / Arizona State University (Publisher)
Created2013