Matching Items (32)
Description
Climate change is impacting fisheries through ecological shifts altering the geographical distribution and quantity of fish species. About 60% of United States fish caught by volume is caught in the Alaska region, with Alaska's economy dependent on fisheries. Additionally, fisheries are an important source of employment for many Alaskan communities. Therefore, it is important to have policies and strategies in place to prepare for ongoing climate impacts. One step to support better tailoring policy to support those most likely to be negatively impacted is to identify the fishing communities most vulnerable to climate change. This study uses data on vulnerable fish species and fishery catch by species and community to identify what communities are most vulnerable to changing climate conditions. I identify 26 communities that are fishing climate vulnerable species. I then use vulnerable fish species revenue data to identify communities most at risk either because they generate a substantial amount of revenue from these species or a substantial proportion of their total revenue is derived from these species. Using species-specific revenue, I show that Sablefish contribute the most to this vulnerability.
ContributorsFulton, Breanna (Author) / Kroetz, Kailin (Thesis director) / Abbot, Joshua (Committee member) / Barrett, The Honors College (Contributor) / School of Sustainability (Contributor) / School of Geographical Sciences and Urban Planning (Contributor)
Created2023-05
Description
Urban Ecological Infrastructure (UEI) increases landscape sustainability by meeting multiple socioeconomic and environmental objectives. Community parks are a common form of green or terrestrial UEI that improve access to open space in urban areas. They also provide environmental benefits such as increased biodiversity, pollution filtration, urban heat island mitigation, and rainwater drainage. Decision-makers should consider these factors when siting parks to maximize services, especially since land acquisition involves budget constraints. Geographic information systems (GIS) include various tools that can be used to site parks based on multiple spatial datasets. This research develops a GIS process to identify suitable parcels for parks, filling a gap in the literature through developing a small-scale analysis that considers local context and includes smaller pockets of potential green space in Metro Phoenix, Arizona. This process involved compiling a dataset of socioeconomic and environmental criteria, creating park suitability layers in ArcGIS Pro, and conducting statistical and spatial analyses on the suitability layers. The analysis involved assigning scores to each parcel, where higher scores indicate higher park suitability, and lower scores indicate lower park suitability. Factors that resulted in higher suitability scores were barren land cover, low tree canopy, high surface temperature, in a flood zone, far from existing parks and trails, high percentage of minority and low-income residents, and in an urban area. The resulting maps show significantly higher scores in the southern and western parts of Maricopa County, particularly in and around Gila Bend. While most high-ranking parcels are situated along rural highways, there are many large clusters of high-ranking urban parcels along waterways in Metro Phoenix. Based on this assessment, I recommend park implementation efforts focus on land along the Salt River, Gila River, and Agua Fria River in southern and western Phoenix. Further research could build on this methodology, integrating additional datasets such as walkability scores and experimenting with the parameters to see how the results change.
ContributorsParkhurst, Ciera (Author) / Kroetz, Kailin (Thesis director) / Larson, Kelli (Committee member) / Barrett, The Honors College (Contributor) / School of Geographical Sciences and Urban Planning (Contributor) / School of Sustainability (Contributor)
Created2022-12
Description
Universities host a large, young and diverse population that commutes to the same location every day, which makes them ideally suited for public transportation ridership. However, at many universities in the US, this potential for high levels of transit ridership is not being maximized. This research aims to identify the areas where Valley Metro’s public transit service to ASU’s Tempe campus is over- and under-performing in comparison with the overall public transportation service to the entire Phoenix metro area. The hypothesis states that proximity to campus and the convenience of using public transportation would be the two main factors in determining the success of an area’s public transportation service. ASU’s Parking & Transit Services provided confidential data with the addresses of all the students and employees who purchased a parking pass, transit pass and bike registration. With these data, the public transportation mode share for commuters to ASU in each census block group was calculated and compared to the mode share for the general public, which was based on US Census data. The difference between the public transit mode shares of ASU pass holders vs. commuting by the general public was then computed and analyzed to identify areas as hot and cold spots. These heat maps are then compared to the hypothesized factors of proximity to campus and the convenience of public transportation in terms of the light rail line, park-and-ride lots, and number of transfers needed to connect to campus. The transfers were estimated using origin and destination survey data provided by Valley Metro. Results show that the convenience of public transportation was a driving factor in explaining where the transit mode share to ASU is higher than that of the general public, whereas the proximity to campus had little impact on the areas with high ASU-specific transit mode shares. There is an absence of hot spots directly around the campus which is explained by the combination of both high transit share for the non-ASU population and the large share of ASU students and employees using active transportation and free circulator buses this close to campus. These findings are significant specifically to ASU because the university can learn where the transit service is performing well and where it is underperforming. Using these findings, ASU PTS can adjust its pricing, policies, services and infrastructure and work with Valley Metro and the City of Tempe to improve the ridership for both students and employees. Future research can compare more factors to further interpret what leads to success for transit service to university campuses.
ContributorsLewin, Nicholas (Author) / Kuby, Michael (Thesis director) / Salon, Deborah (Committee member) / Barrett, The Honors College (Contributor) / School of Geographical Sciences and Urban Planning (Contributor)
Created2023-05
DescriptionThis paper explores if there is a relationship between neighborhoods foreclosures and future social mobility in Maricopa County. Using data from various sources, we constructed a statistical model, multiple regression analysis, and maps to demonstrate patterns across Maricopa County, Arizona.
ContributorsO'Connell, Jennifer (Author) / Connor, Dylan (Thesis director) / Pfeiffer, Deirdre (Committee member) / Barrett, The Honors College (Contributor) / School of Geographical Sciences and Urban Planning (Contributor)
Created2022-12
Description
With the acceleration of urbanization in many parts of the world, transportation challenges such as traffic congestion, increasing carbon emissions, and the “first/last-mile” connectivity problems for commuter travel have arisen. Transport experts and policymakers have proposed shared transportation, such as dockless e-scooters and bike-sharing programs, to solve some of these urban transportation issues. In cities with high population densities, multimodal mobility hubs designed to integrate shared and public transportation can be implemented to achieve faster public connections and thus increase access to public transport on both access and egress sides. However, haphazard drop-offs of these dockless vehicles have led to complaints from community members and motivated the need for neighborhood-level parking areas (NLPAs). Simultaneously, concerns about the equitable distribution of transportation infrastructure have been growing and have led to the Biden Administration announcing the Justice40 Initiative which requires 40% of certain federal investments to benefit disadvantaged communities. To plan a system of NLPAs to address not only the transportation shortcomings while elevating these recent equity goals, this thesis develops a multi-objective optimal facility location model that maximizes coverage of both residential areas and transit stations while including a novel constraint to satisfy the requirements of Justice40. The model is applied to the City of Tempe, Arizona, and uses GIS data and spatial analyses of the existing public transportation stops, estimates of transit station boardings, population by census block, and locations of disadvantaged communities to optimize NLPA location. The model generates Pareto optimal tradeoff curves for different numbers of NLPAs to find the non-dominated solutions for the coverage of population nodes and boardings. The analysis solves the multi-objective model with and without the equity constraint, showing the effect of considering equity in developing a multimodal hub system, especially for disadvantaged communities. The proposed model can provide a decision support tool for transport and public authorities to plan future investments and facilitate multimodal transport.
ContributorsQuan, Hejun (Author) / Kuby, Michael (Thesis advisor) / Frazier, Amy (Thesis advisor) / Tong, Daoqin (Committee member) / Arizona State University (Publisher)
Created2022
Description
Accurate fault maps are an important component in the assessment of hazard from fault displacement. Different mapping techniques, biases and ambiguous geomorphic evidence for faulting can drive even expert mappers to produce different fault maps. Another challenge is that future ruptures may not follow past ruptures, so available evidence in the landscape may not lead to accurate rupture prediction. The ultimate goal of my work is to develop a systematized approach for fault mapping so that resulting maps are more evidence-based and ultimately of higher quality I systematized the active fault mapping process and the documentation of evidence for potential fault rupture. I developed and taught a systematic mapping process based on geomorphic landforms evident in remote sensing datasets to undergraduate students, graduate students, and geologic professionals. My approach uses data acquired before historic ruptures to make and test “pre-rupture” fault traces based on the landscape morphology, geomorphology, and geology. The mappers used the Geomorphic Indicator Ranking system (GIR) to represent the geomorphic evidence for faulting such as scarps, triangular facets, offset features, beheaded drainages, and many more.
I evaluated the approach in three ways: (1) To assess the geomorphology that best predicts future rupture, I compared the separation distance between the mapped geomorphologic features and the rupture. Scarps and lineaments performed best. (2) I compared the fault confidence chosen by the mapper versus that computed from GIR elements (i.e., mapped geomorphology) near the fault traces. Accurately characterizing fault confidence requires a balance between the mapper input and the calculated confidence rankings. (3) I conducted listening sessions with 21 participants to understand each participant’s approach to fault mapping to highlight best practices and challenges of geomorphic fault mapping. The terminology and mapping process vary by experience level. My approach works both as a teaching tool to introduce tectonic geomorphology and fault mapping to novice mappers, but also works in an industry setting to establish consistent documentation for fault maps. These higher quality fault maps have implications applications of fault mapping including easier dissemination of information, comparison between different fault maps, and hopefully more accurate fault locations for hazard mitigation.
ContributorsAdam, Rachel (Author) / Scott, Chelsea (Thesis advisor) / Arrowsmith, Ramon (Thesis advisor) / Reano, Darryl (Committee member) / Arizona State University (Publisher)
Created2023
Description
Since the 20th century, Arizona has undergone shifts in agricultural practices, driven by urban expansion and crop irrigation regulations. These changes present environmental challenges, altering atmospheric processes and influencing climate dynamics. Given the potential threats of climate change and drought on water availability for agriculture, further modifications in the agricultural landscape are expected. To understand these land use changes and their impact on carbon dynamics, our study quantified aboveground carbon storage in both cultivated and
abandoned agricultural fields. To accomplish this, we employed Python and various geospatial libraries in Jupyter Notebook files, for thorough dataset assembly and visual, quantitative analysis. We focused on nine counties known for high cultivation levels, primarily located in the lower latitudes of Arizona. Our analysis investigated carbon dynamics across not only abandoned and actively cultivated croplands but also neighboring uncultivated land, for which we estimated the extent. Additionally, we compared these trends with those observed in developed land areas.
The findings revealed a hierarchy in aboveground carbon storage, with currently cultivated lands having the lowest levels, followed by abandoned croplands and uncultivated wilderness. However, wilderness areas exhibited significant variation in carbon storage by county compared to cultivated and abandoned lands. Developed lands ranked highest in aboveground carbon storage, with the median value being the highest. Despite county-wide variations, abandoned croplands generally contained more carbon than currently cultivated areas, with adjacent wilderness lands containing even more than both. This trend suggests that cultivating croplands in the region reduces aboveground carbon stores, while abandonment allows for some replenishment, though only to a limited extent. Enhancing carbon stores in Arizona can be achieved through active restoration efforts on abandoned cropland. By promoting native plant regeneration and boosting aboveground carbon levels, these measures are crucial for improving carbon sequestration. We strongly advocate for implementing this step to facilitate the regrowth of native plants and enhance overall carbon storage in the region.
ContributorsGoodwin, Emily (Author) / Eikenberry, Steffen (Thesis director) / Kuang, Yang (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2024-05
Description
Decades of research confirms that urban green spaces in the form of parks, gardens, and urban forests provide numerous environmental and social services including microclimate regulation, noise reduction, rainwater drainage, stress amelioration, etc. In post-industrial megacities of the twenty-first century, densely populated, violent and heavily polluted such as Mexico City, having access to safe and well-maintained green public space is in all respects necessary for people to maintain or improve their quality of life. However, according to recent reports by the Mexican Ministry of Environment, green public spaces in Mexico City are insufficient and unevenly distributed across the sixteen boroughs of the Mexican Distrito Federal. If it is known that parks are essential urban amenities, why are green public spaces in Mexico City scarce and so unevenly distributed? As a suite of theoretical frameworks, Urban Political Ecology (UPE) has been used to study uneven urban development and its resulting unequal socio-ecological relations. UPE explores the complex relationship between environmental change, socio-economic urban characteristics and political processes. This research includes a detailed analysis of the distributive justice of green public space (who gets what and why) based on socio-spatial data sets provided by the Environment and Land Management Agency for the Federal District. Moreover, this work went beyond spatial data depicting available green space (m2/habitant) and explored the relation between green space distribution and other socio-demographic attributes, i.e. gender, socio-economic status, education and age that according to environmental justice theory, are usually correlated to an specific (biased) distribution of environmental burdens and amenities. Moreover, using archival resources complemented with qualitative data generated through in-depth interviews with key actors involved in the creation, planning, construction and management of green public spaces, this research explored the significant role of public and private institutions in the development of Mexico City's parks and green publics spaces, with a special focus on the effects of neoliberal capitalism as the current urban political economy in the city.
ContributorsFernandez Alvarez, Rafael (Author) / Bolin, Bob (Thesis advisor) / Boone, Christopher (Committee member) / Lara-Valencia, Francisco (Committee member) / Arizona State University (Publisher)
Created2015
Description
Component simulation models, such as agent-based models, may depend on spatial data associated with geographic locations. Composition of such models can be achieved using a Geographic Knowledge Interchange Broker (GeoKIB) enabled with spatial-temporal data transformation functions, each of which is responsible for a set of interactions between two independent models. The use of autonomous interaction models allows model composition without alteration of the composed component models. An interaction model must handle differences in the spatial resolutions between models, in addition to differences in their temporal input/output data types and resolutions.
A generalized GeoKIB was designed that regulates unidirectional spatially-based interactions between composed models. Different input and output data types are used for the interaction model, depending on whether data transfer should be passive or active. Synchronization of time-tagged input/output values is made possible with the use of dependency on a discrete simulation clock. An algorithm supporting spatial conversion is developed to transform any two-dimensional geographic data map between different region specifications. Maps belonging to the composed models can have different regions, map cell sizes, or boundaries. The GeoKIB can be extended based on the model specifications to be composed and the target application domain.
Two separate, simplistic models were created to demonstrate model composition via the GeoKIB. An interaction model was created for each of the two directions the composed models interact. This exemplar is developed to demonstrate composition and simulation of geographic-based component models.
A generalized GeoKIB was designed that regulates unidirectional spatially-based interactions between composed models. Different input and output data types are used for the interaction model, depending on whether data transfer should be passive or active. Synchronization of time-tagged input/output values is made possible with the use of dependency on a discrete simulation clock. An algorithm supporting spatial conversion is developed to transform any two-dimensional geographic data map between different region specifications. Maps belonging to the composed models can have different regions, map cell sizes, or boundaries. The GeoKIB can be extended based on the model specifications to be composed and the target application domain.
Two separate, simplistic models were created to demonstrate model composition via the GeoKIB. An interaction model was created for each of the two directions the composed models interact. This exemplar is developed to demonstrate composition and simulation of geographic-based component models.
ContributorsBoyd, William Angelo (Author) / Sarjoughian, Hessam S. (Thesis advisor) / Maciejewski, Ross (Committee member) / Sarwat, Mohamed (Committee member) / Arizona State University (Publisher)
Created2019
Description
This research combines traditional archaeological analysis with lidar data to investigate infrastructure, residential architecture, and neighborhoods in a completely new way. Taken together, these analyses show the shape and form of this city during its apogee in CE 650, while providing a deeper understanding of its civic administration through the use of multiple urban levels (citywide, district, neighborhood, and residential/plazuela). Independently, any one of these results may provide an incomplete picture or inaccurate conclusion, but, when conjoined, the analyses interdigitate to shed light on the city as a whole. This research showcases the physical infrastructural power of this city through the widespread distribution of its urban services among the city’s districts while still highlighting tiers of urban services among districts. It reinforces the idea of household architectural autonomy through the lack of standardization in the built environment, while also highlighting the relative equality of residences. And, it emphasizes both citywide and neighborhood-based similarities in categorical identities that would have facilitated collective action among individuals in the past by reducing the friction to initiate collective endeavors. Taken together, these results suggest both autocratic and collective governance, and views from different urban levels when combined provide a more detailed perspective on the multiple interacting and concurrent processes that determined urban life and structure in the past. These analyses also hold the potential to shed light on other governance practices in future comparative urban research on archaeological, historical, and modern cities. However, the initial findings reported in this dissertation suggest that Caracol enjoyed a more collective system of governance processes despite the hieroglyphic record of a lineage of rulers.
ContributorsChase, Adrian Sylvanus Zaino (Author) / Smith, Michael E. (Thesis advisor) / Nelson, Ben A. (Committee member) / York, Abigail M. (Committee member) / Peeples, Matthew A. (Committee member) / Arizona State University (Publisher)
Created2021