"Black in Bleu" is a reflection on my life as a young, Black woman in America told through poetry, and music in conjunction with feminist activists' work as well as results from a survey amongst other young, black students. This paper is a window into Blackness reflecting my experiences as well as many others in a way to find love in that reflection. There is a playlist that goes along with the paper meant to be listened to simultaneously with the reading.

Jaguar population decline is largely attributed to habitat loss and retaliatory hunting. Maintaining a viable prey base in the wild can help to mitigate this issue and decrease human-wildlife conflicts. This study aims to assess the presence of prey species in jaguar habitat in order to inform conservation efforts to maintain and improve the health and relative abundance of the wildlife community. We analyzed nearly 40,000 photographs from 85 camera traps to assess the presence of prey species at sites where jaguars are known to occur. Jaguar-prey site overlap was calculated based on the percent of jaguar sites where each prey species was present. Medium-sized mammal prey species (e.g. Central American agouti) were present across the majority (up to 87%) of sites, while large mammal prey species were present in 16%-42% of sites, varying by species. These results suggest that conservation management of jaguars would benefit from improved monitoring and maintenance of a stable prey community.

This research explores the use of transformative urban scenarios and timelines as a planning tool for addressing future sustainability challenges in urban environments. The analysis comes from a set of scenarios that were explored through workshops conducted in 2019 in which Phoenix stakeholders developed timelines toward their visions of Phoenix 60 years into the future. To evaluate the pathways created in these timelines, we employed process tracing methodology to understand which causal mechanisms lead to certain phenomena. Or in other words, it helps us understand how changes happen. We converted the timelines into process tracing diagrams that categorized the relationship between actions, actors, and observable manifestations (OM’s) of change over time. To understand the relationship between these components, we then used a combination of inductive and deductive coding to categorize types of activities, actors, OM’s and sustainability topics and organized them into themes. This helped us to understand how city decision-makers and community leaders think sustainability and resilience transformation can and should occur. This thesis takes a closer look at one particular scenario, Some Like it Hot, which explores resilience to extreme heat. Through coding and analysis, we found trends, correlations, and missing pieces in the participants’ timeline. There are numerous overarching causal mechanisms throughout the scenario timeline. These trends offer insight into which activities and stakeholders are seen as significant drivers of sustainable transformation according to the workshop participants. The file attached is a pdf version of an ArcGIS Story Map completed for this honors thesis. To view the full, interactive thesis deliverable, visit https://storymaps.arcgis.com/stories/14d1e52a9448498e87f20e7566651a13

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.

Despite historical significance, minimal research has expanded upon initial findings on sundown towns, particularly as they relate to contemporary economic opportunity. While previous literature has examined economic indicators in former sundown towns within the Midwest, the level of opportunity for those born into these places has yet to be explored. In comparison to the county and locality scales used in previous analysis, emerging literature suggests that factors contributing to opportunity take place at the hyper-local level. Building upon this, this analysis explores the economic mobility of low-income children born into former sundown towns at the Census tract level, in addition to expanding the scope of analysis across the contiguous United States. Findings suggest that while former sundown towns are positively correlated with upward mobility for White and Hispanic children, they provide no unique benefits for Black children born into them. These results are in line with previous findings, furthering ideas of historic race-based processes contributing to contemporary exclusions of opportunity.

Much of modern urban planning in the United States is concerned with making cities more walkable. However, this is occurring as the urban landscape of the U.S. is altered radically by changes in crime patterns after the summer of 2020. This paper seeks to find out what the relationship is between walkability and crime in major U.S. cities after 2020. Using multiple linear regressions at the city and neighborhood scale, walkability is found to be a significant, positive predictor of 2019 violent crime rate, 2020 violent crime rate, 2020 property crime rate, and 2020 total crime rate at the city level. It was found to be a positive, but not significant predictor at the neighborhood level. Walkability has no protective influence against crime/rising crime, and it appears that as crime gets worse it tends to get worse in the cities that are more walkable, but other variables such as African American population are better determinants of crime. Urban planners should seek to increase walkability while also finding a way to mitigate potential exposure to crime.

Black-footed ferrets have become one of the most popular conservation success stories because of the miraculous rediscovery of the species after being declared extinct and the growing population today. The stability of the species is still highly variable as the ferrets are threatened by disease, habitat fragmentation, human infringement, and the extermination of their main prey item the prairie dog. The complexity of the issue arises from negative public perceptions of prairie dogs leading to less citizen support for protection which in turn undermines progress in black-footed ferret conservation. General issues with the bureaucracy of conservation helps to delay a formal protection of species at risk which would be especially important for species that are actively being removed or exterminated by humans like the prairie dog. Careful analysis of the black-footed ferret and the prairie dog through the lenses of their natural histories, conservation histories, and modern conservation methods suggest that the public’s opinion and support is the greatest tool for the protection of species at risk because of the complexity of conservation and the rallying bureaucratic motion.

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.

In this paper, I analyze the reluctance of expanding nuclear power in the United States. This is done by exploring the history of nuclear power and using two conceptual theories to guide this analysis. The impact of nuclear accidents throughout history allows individuals to perceive risks as greater than they are while potentially ignoring the benefits of this energy method. By looking at the perception of risk through the Psychometric Theory of Risk, one can understand hesitance at a more individual level for perceived risk, knowledge, and trust. From there, one can look at more of a macro level with the Social Amplification of Risk Framework (SARF) to see what the psychometric paradigm may forget and view the ripple effects of media coverage and their effects on the perception of nuclear energy.