Matching Items (14)
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- All Subjects: Geography
- Creators: McHugh, Kevin
- Creators: Murray, Alan T.
Description
Geography, and the social sciences more broadly, have long operated within what is arguably a paradigm of the visual. Expanding the reach of geographical consideration into the realm of the aural, though in no way leaving behind the visual, opens the discipline to new areas of human and cultural geography invisible in ocular-centric approaches. At its broadest level, my argument in this dissertation is that music can no longer be simply an object of geographical research. Re-conceptualized and re-theorized in a geographical context to take into account its very real, active, and more-than-representational presence in social life, music provides actual routes to geographic knowledge of the world. I start by constructing a theoretical framework and methodological approach for studying music beyond representation. Based on these theoretical and methodological arguments, I present four narratives that unfold at the intersections of race and music in the northeast Brazilian city of Salvador. From the favelas of Rio de Janeiro to the troubled neighborhood of the Pelourinho, from the manic tempos of samba to the laid back grooves of samba-reggae, and in the year-round competition between the oppressive forces of ordinary time and the fleeting possibility of carnival, music emerges as a creative societal force with affects and effects far beyond the realm of representation. Together, these narratives exemplify the importance of expanding geographical considerations beyond a strictly visual framework. These narratives contribute to the musicalization of the discipline of geography.
ContributorsFinn, John C (Author) / McHugh, Kevin (Thesis advisor) / Lukinbeal, Christopher (Committee member) / Bolin, Bob (Committee member) / Price, Patricia (Committee member) / Arizona State University (Publisher)
Created2011
Description
There exist many facets of error and uncertainty in digital spatial information. As error or uncertainty will not likely ever be completely eliminated, a better understanding of its impacts is necessary. Spatial analytical approaches, in particular, must somehow address data quality issues. This can range from evaluating impacts of potential data uncertainty in planning processes that make use of methods to devising methods that explicitly account for error/uncertainty. To date, little has been done to structure methods accounting for error. This research focuses on developing methods to address geographic data uncertainty in spatial optimization. An integrated approach that characterizes uncertainty impacts by constructing and solving a new multi-objective model that explicitly incorporates facets of data uncertainty is developed. Empirical findings illustrate that the proposed approaches can be applied to evaluate the impacts of data uncertainty with statistical confidence, which moves beyond popular practices of simulating errors in data. Spatial uncertainty impacts are evaluated in two contexts: harvest scheduling and sex offender residency. Owing to the integration of spatial uncertainty, the detailed multi-objective models are more complex and computationally challenging to solve. As a result, a new multi-objective evolutionary algorithm is developed to address the computational challenges posed. The proposed algorithm incorporates problem-specific spatial knowledge to significantly enhance the capability of the evolutionary algorithm for solving the model.
ContributorsWei, Ran (Author) / Murray, Alan T. (Thesis advisor) / Anselin, Luc (Committee member) / Rey, Segio J (Committee member) / Mack, Elizabeth A. (Committee member) / Arizona State University (Publisher)
Created2013
Description
Facility location models are usually employed to assist decision processes in urban and regional planning. The focus of this research is extensions of a classic location problem, the Weber problem, to address continuously distributed demand as well as multiple facilities. Addressing continuous demand and multi-facilities represents major challenges. Given advances in geographic information systems (GIS), computational science and associated technologies, spatial optimization provides a possibility for improved problem solution. Essential here is how to represent facilities and demand in geographic space. In one respect, spatial abstraction as discrete points is generally assumed as it simplifies model formulation and reduces computational complexity. However, errors in derived solutions are likely not negligible, especially when demand varies continuously across a region. In another respect, although mathematical functions describing continuous distributions can be employed, such theoretical surfaces are generally approximated in practice using finite spatial samples due to a lack of complete information. To this end, the dissertation first investigates the implications of continuous surface approximation and explicitly shows errors in solutions obtained from fitted demand surfaces through empirical applications. The dissertation then presents a method to improve spatial representation of continuous demand. This is based on infill asymptotic theory, which indicates that errors in fitted surfaces tend to zero as the number of sample points increases to infinity. The implication for facility location modeling is that a solution to the discrete problem with greater demand point density will approach the theoretical optimum for the continuous counterpart. Therefore, in this research discrete points are used to represent continuous demand to explore this theoretical convergence, which is less restrictive and less problem altering compared to existing alternatives. The proposed continuous representation method is further extended to develop heuristics to solve the continuous Weber and multi-Weber problems, where one or more facilities can be sited anywhere in continuous space to best serve continuously distributed demand. Two spatial optimization approaches are proposed for the two extensions of the Weber problem, respectively. The special characteristics of those approaches are that they integrate optimization techniques and GIS functionality. Empirical results highlight the advantages of the developed approaches and the importance of solution integration within GIS.
ContributorsYao, Jing (Author) / Murray, Alan T. (Thesis advisor) / Mirchandani, Pitu B. (Committee member) / Kuby, Michael J (Committee member) / Arizona State University (Publisher)
Created2012
Description
Residential historic preservation occurs through inhabitation. Through day-to-day domesticities a suite of bodily comportments and aesthetic practices are perpetually at work tearing and stitching the historic fabric anew. Such paradoxical practice materializes seemingly incompatible relations between past and present, people and things. Through a playful posture of experience/experiment, this dissertation attends to the materiality of historic habitation vis-à-vis practices and performances in the Coronado historic neighborhood (1907-1942) in Phoenix, Arizona. Characterized by diversity in the built and social environs, Coronado defies preservation's exclusionary tendencies. First, I propose a theoretical frame to account for the amorphous expression of nostalgia, the way it seeps, tugs, and lures `historic' people and things together. I push the argument that everyday nostalgic practice and performance in Coronado gives rise to an aesthetic of pastness that draws attention to what is near, a sensual attunement of care rather than strict adherence to preservation guidelines. Drawing on the institutional legacy of Neighborhood Housing Services, I then rethink residential historic preservation in Coronado as urban bricolage, the aesthetic ordering of urban space through practices of inclusivity, temporal juxtaposition, and the art of everyday living. Finally, I explore the historic practice of home touring in Coronado as demonstrative of urban hospitality, an opening of self and neighborhood toward other bodies, critical in the making of viable, ethical urban communities. These three moments contribute to the body of literature rethinking urbanism as sensual, enchanted, and hospitable.
ContributorsKitson, Jennifer (Author) / McHugh, Kevin (Thesis advisor) / Lukinbeal, Christopher (Committee member) / Bolin, Bob (Committee member) / Klett, Mark (Committee member) / Arizona State University (Publisher)
Created2013
Description
Decades ago in the U.S., clear lines delineated which neighborhoods were acceptable for certain people and which were not. Techniques such as steering and biased mortgage practices continue to perpetuate a segregated outcome for many residents. In contrast, ethnic enclaves and age restricted communities are viewed as voluntary segregation based on cultural and social amenities. This diversity surrounding the causes of segregation are not just region-wide characteristics, but can vary within a region. Local segregation analysis aims to uncover this local variation, and hence open the door to policy solutions not visible at the global scale. The centralization index, originally introduced as a global measure of segregation focused on spatial concentration of two population groups relative a region's urban center, has lost relevancy in recent decades as regions have become polycentric, and the index's magnitude is sensitive to the particular point chosen as the center. These attributes, which make it a poor global measure, are leveraged here to repurpose the index as a local measure. The index's ability to differentiate minority from majority segregation, and its focus on a particular location within a region make it an ideal local segregation index. Based on the local centralization index for two groups, a local multigroup variation is defined, and a local space-time redistribution index is presented capturing change in concentration of a single population group over two time periods. Permutation based inference approaches are used to test the statistical significance of measured index values. Applications to the Phoenix, Arizona metropolitan area show persistent cores of black and white segregation over the years 1990, 2000 and 2010, and a trend of white segregated neighborhoods increasing at a faster rate than black. An analysis of the Phoenix area's recently opened light rail system shows that its 28 stations are located in areas of significant white, black and Hispanic segregation, and there is a clear concentration of renters over owners around most stations. There is little indication of statistically significant change in segregation or population concentration around the stations, indicating a lack of near term impact of light rail on the region's overall demographics.
ContributorsFolch, David C. (Author) / Rey, Sergio J (Thesis advisor) / Anselin, Luc (Committee member) / Murray, Alan T. (Committee member) / Arizona State University (Publisher)
Created2012
Description
Concerns about Peak Oil, political instability in the Middle East, health hazards, and greenhouse gas emissions of fossil fuels have stimulated interests in alternative fuels such as biofuels, natural gas, electricity, and hydrogen. Alternative fuels are expected to play an important role in a transition to a sustainable transportation system. One of the major barriers to the success of alternative-fuel vehicles (AFV) is the lack of infrastructure for producing, distributing, and delivering alternative fuels. Efficient methods that locate alternative-fuel refueling stations are essential in accelerating the advent of a new energy economy. The objectives of this research are to develop a location model and a Spatial Decision Support System (SDSS) that aims to support the decision of developing initial alternative-fuel stations. The main focus of this research is the development of a location model for siting alt-fuel refueling stations considering not only the limited driving range of AFVs but also the necessary deviations that drivers are likely to make from their shortest paths in order to refuel their AFVs when the refueling station network is sparse. To add reality and applicability of the model, the research is extended to include the development of efficient heuristic algorithms, the development of a method to incorporate AFV demand estimates into OD flow volumes, and the development of a prototype SDSS. The model and methods are tested on real-world road network data from state of Florida. The Deviation-Flow Refueling Location Model (DFRLM) locates facilities to maximize the total flows refueled on deviation paths. The flow volume is assumed to be decreasing as the deviation increases. Test results indicate that the specification of the maximum allowable deviation and specific deviation penalty functional form do have a measurable effect on the optimal locations of facilities and objective function values as well. The heuristics (greedy-adding and greedy-adding with substitution) developed here have been identified efficient in solving the DFRLM while AFV demand has a minor effect on the optimal facility locations. The prototype SDSS identifies strategic station locations by providing flexibility in combining various AFV demand scenarios. This research contributes to the literature by enhancing flow-based location models for locating alternative-fuel stations in four dimensions: (1) drivers' deviations from their shortest paths, (2) efficient solution approaches for the deviation problem, (3) incorporation of geographically uneven alt-fuel vehicle demand estimates into path-based origin-destination flow data, and (4) integration into an SDSS to help decision makers by providing solutions and insights into developing alt-fuel stations.
ContributorsKim, Jong-Geun (Author) / Kuby, Michael J (Thesis advisor) / Wentz, Elizabeth (Committee member) / Murray, Alan T. (Committee member) / Arizona State University (Publisher)
Created2010
Description
“(Dis)Locating the Sensual: Black Queer Placemaking in Brooklyn, New York” investigates the impact that gentrification has on Black queer subject formations and Black queer public culture. My research explores the interplay between social oppressions, the Black quotidian queer body, and lived sensations within two Black queer bars located in the epicenter of white middle class gentrification in Brooklyn, New York: Langston’s Brooklyn and Happiness Lounge. In doing so, my project expands Western conceptions of space while charging feminist and queer theories to explore interpersonal and personal dimensions of lived experiences that are conditioned by modes of normalization set by white supremacy. I use archival research and ethnographic methods to explore the way that Black queer people utilize space and the spatial dimensions that happen in and across the spaces they regularly occupy. I also collect and examine building information, such as the owners’ respective rental agreements, building permits, documented building violation(s), and incurred fees by the owners to understand who owns the land, who manages the properties, and the role of the state in regulating space. Additionally, “(Dis)Locating the Sensual” analyzes three analytic memos from my ethnographic fieldnotes including desire, spatial performance, and sensations to apprehend the implications of performance on a Black queer sense of place. Taken together, this data renders a complex picture of Black queer place-making that both resists and exceeds the structural constraints of racial capitalist expansion. My work both dialogues with and contributes to fields that are rarely drawn into conversation: Urban geography and Black queer studies. By analyzing sensations, nostalgia, and atmosphere within Langston’s and Happiness Lounge, I chart the ways in which gentrification continues to displace physical Black queer social spaces and impact the atmospheres and sensations that are unique to their vanishing social spaces. I introduce Black queer spatiality as a method that is informed by tracing Black LGBT spatial sensations and atmospheres; this analytic enables the linking of physical spatio-historical processes of extraction to the sensual geographic experiences that are emplaced in Black queer social spaces.
ContributorsMillhouse, Ricardo (Author) / Bailey, Marlon M (Thesis advisor) / Shabazz, Gregg R (Committee member) / Fonow, Mary M (Committee member) / McHugh, Kevin (Committee member) / Arizona State University (Publisher)
Created2021
Description
My dissertation topic engages in the trajectory of Roma/Gitano culture and flamenco and its implications for Chicanx culture in New Mexico. New Mexicans have the reputation amongst US Chicanx as referring to themselves as Hispanic and aligning culturally with a Spanish sensibility. Historically in the larger US Chicanx community this type of popularity for flamenco would be described as typical of New Mexico’s wavering Chicanidad that yearns to be connected to a Spanish colonial past more than to its indigenous Mexican roots. However, I believe the reality is a bit different. What makes New Mexican Chicanx different from the larger US Chicanx community is that they utilize flamenco and its Gitano roots as a cultural example of their Chicanidad. There is scant research on how Chicanidad as a historical movement has been influenced by the flamenco culture that exists in New Mexico. This dissertation will begin a conversation that places flamenco and the precarious identity of Chicanx, Gitanos and Nuevomejicanos in dialogue through the body, the art form, and the cultural stylings of flamenco rooted in the Flamenco Festival Internacional de Albuquerque (FFI).
ContributorsAcevedo-Ontiveros, Erica (Author) / Underiner, Tamara (Thesis advisor) / Bowditch, Rachel (Committee member) / Hayes, Michelle H (Committee member) / Lopez, Tiffany A (Committee member) / Arizona State University (Publisher)
Created2019
Description
The global increase in urbanization has raised questions about urban sustainability to which multiple research communities have entered. Those communities addressing interest in the urban heat island (UHI) effect and extreme temperatures include land system science, urban/landscape ecology, and urban climatology. General investigations of UHI have focused primarily on land surface and canopy layer air temperatures. The surface temperature is of prime importance to UHI studies because of its central rule in the surface energy balance, direct effects on air temperature, and outdoor thermal comfort. Focusing on the diurnal surface temperature variations in Phoenix, Arizona, especially on the cool (green space) island effect and the surface heat island effect, the dissertation develops three research papers that improve the integration among the abovementioned sub-fields. Specifically, these papers involve: (1) the quantification and modeling of the diurnal cooling benefits of green space; (2) the optimization of green space locations to reduce the surface heat island effect in daytime and nighttime; and, (3) an evaluation of the effects of vertical urban forms on land surface temperature using Google Street View. These works demonstrate that the pattern of new green spaces in central Phoenix could be optimized such that 96% of the maximum daytime and nighttime cooling benefits would be achieved, and that Google Street View data offers an alternative to other data, providing the vertical dimensions of land-cover for addressing surface temperature impacts, increasing the model accuracy over the use of horizontal land-cover data alone. Taken together, the dissertation points the way towards the integration of research directions to better understand the consequences of detailed land conditions on temperatures in urban areas, providing insights for urban designs to alleviate these extremes.
ContributorsZhang, Yujia (Author) / Turner, Billie (Thesis advisor) / Murray, Alan T. (Committee member) / Myint, Soe W (Committee member) / Middel, Ariane (Committee member) / Arizona State University (Publisher)
Created2018
Description
The shortest path between two locations is important for spatial analysis, location modeling, and wayfinding tasks. Depending on permissible movement and availability of data, the shortest path is either derived from a pre-defined transportation network or constructed in continuous space. However, continuous space movement adds substantial complexity to identifying the shortest path as the influence of obstacles has to be considered to avoid errors and biases in a derived path. This obstacle-avoiding shortest path in continuous space has been referred to as Euclidean shortest path (ESP), and attracted the attention of many researchers. It has been proven that constructing a graph is an effective approach to limit infinite search options associated with continuous space, reducing the problem to a finite set of potential paths. To date, various methods have been developed for ESP derivation. However, their computational efficiency is limited due to fundamental limitations in graph construction. In this research, a novel algorithm is developed for efficient identification of a graph guaranteed to contain the ESP. This new approach is referred to as the convexpath algorithm, and exploits spatial knowledge and GIS functionality to efficiently construct a graph. The convexpath algorithm utilizes the notion of a convex hull to simultaneously identify relevant obstacles and construct the graph. Additionally, a spatial filtering technique based on intermediate shortest path is enhances intelligent identification of relevant obstacles. Empirical applications show that the convexpath algorithm is able to construct a graph and derive the ESP with significantly improved efficiency compared to visibility and local visibility graph approaches. Furthermore, to boost the performance of convexpath in big data environments, a parallelization approach is proposed and applied to exploit computationally intensive spatial operations of convexpath. Multicore CPU parallelization demonstrates noticeable efficiency gain over the sequential convexpath. Finally, spatial representation and approximation issues associated with raster-based approximation of the ESP are assessed. This dissertation provides a comprehensive treatment of the ESP, and details an important approach for deriving an optimal ESP in real time.
ContributorsHong, Insu (Author) / Murray, Alan T. (Thesis advisor) / Kuby, Micheal (Committee member) / Rey, Sergio (Committee member) / Arizona State University (Publisher)
Created2015