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Description
For over a century, it has been commonly observed that the pace-of-life in modern society appears to be significantly faster than in non-modern societies, but exactly what forces drive these differences continue to be both hotly debated and difficult to study. While prior studies on pace-of-life have focused on population-level correlations between these factors and pace-of-life, they provide few details about how changes to pace-of-life associated with modernity actually occur in context. This study addresses the issue from a historical perspective, attempting to identify what factors are relevant to a change of pace-of-life in a non-modern to modern lifestyle transition over a single lifetime. This study performs a historical analysis, examining changes in pace-of-life experienced by students of the Carlisle Indian Industrial School, an Indian residential school operating in the late 19th and early 20th centuries, as compared to the non-modern lifestyle of the Plains Indian Cultures from the same time period. This study finds that the pace-of-life experienced by students at Carlisle were consistently faster, more intense and more regimented than in non-modern lifestyles. Such changes in pace-of-life were driven in large part by efforts of the school to transform the students behavior into a model the administration considered more suited to life in a modern society, chiefly, time-disciplined, individualistic, future oriented and competitive laborers. This case highlights that the role of individual behavioral manipulation by large-scale institutions is an underappreciated force in changes to pace-of-life in modern society.
ContributorsCoffey, Michael (Author) / Connor, Dylan (Thesis advisor) / Turner, Billie L (Committee member) / DesRoches, Tyler (Committee member) / Arizona State University (Publisher)
Created2021
Description
As the impacts of climate change worsen in the coming decades, natural hazards are expected to increase in frequency and intensity, leading to increased loss and risk to human livelihood. The spatio-temporal statistical approaches developed and applied in this dissertation highlight the ways in which hazard data can be leveraged to understand loss trends, build forecasts, and study societal impacts of losses. Specifically, this work makes use of the Spatial Hazard Events and Losses Database which is an unparalleled source of loss data for the United States. The first portion of this dissertation develops accurate loss baselines that are crucial for mitigation planning, infrastructure investment, and risk communication. This is accomplished thorough a stationarity analysis of county level losses following a normalization procedure. A wide variety of studies employ loss data without addressing stationarity assumptions or the possibility for spurious regression. This work enables the statistically rigorous application of such loss time series to modeling applications. The second portion of this work develops a novel matrix variate dynamic factor model for spatio-temporal loss data stratified across multiple correlated hazards or perils. The developed model is employed to analyze and forecast losses from convective storms, which constitute some of the highest losses covered by insurers. Adopting factor-based approach, forecasts are achieved despite the complex and often unobserved underlying drivers of these losses. The developed methodology extends the literature on dynamic factor models to matrix variate time series. Specifically, a covariance structure is imposed that is well suited to spatio-temporal problems while significantly reducing model complexity. The model is fit via the EM algorithm and Kalman filter. The third and final part of this dissertation investigates the impact of compounding hazard events on state and regional migration in the United States. Any attempt to capture trends in climate related migration must account for the inherent uncertainties surrounding climate change, natural hazard occurrences, and socioeconomic factors. For this reason, I adopt a Bayesian modeling approach that enables the explicit estimation of the inherent uncertainty. This work can provide decision-makers with greater clarity regarding the extent of knowledge on climate trends.
ContributorsBoyle, Esther Sarai (Author) / Jevtic, Petar (Thesis advisor) / Lanchier, Nicolas (Thesis advisor) / Lan, Shiwei (Committee member) / Cheng, Dan (Committee member) / Fricks, John (Committee member) / Gall, Melanie (Committee member) / Cutter, Susan (Committee member) / McNicholas, Paul (Committee member) / Arizona State University (Publisher)
Created2023
Description
Game theory, the mathematical study of mathematical models and simulations that often play out like a game, is applicable to a plethora of disciplines, one of which is infrastructure security. This is a rather new and niche subject area, and our aim is to perform a bibliographic analysis to analyze the thematic makeup of a selected body of publications in this area, as well as analyze trends in paper publication, journal contributions, country contributions, and trends in the authorship of the publications.
ContributorsChandra, Varun (Author) / Jevtic, Petar (Thesis director) / Gall, Melanie (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2022-05
Description
Applying the theory of dynamic capabilities, this research explores the procedures and the outcomes of adaptations in disaster relief nonprofit organizations. Using the in-depth interviews and survey data from the managers of disaster relief nonprofit organizations in Arizona, Florida, and New Jersey, this research answers three key questions: 1) How do disaster relief nonprofit organizations apply their dynamic capabilities to make adaptations? 2) What are the impacts of dynamic capabilities, including sensing, learning, integrating, and coordinating capabilities, on the performance of disaster relief nonprofit organizations in service provision, public policy engagement, and community social capital cultivation? 3) Taking the network of Voluntary/Community Organizations Active in Disasters (VOAD/COAD) as an example, can the dynamic capabilities of disaster relief nonprofit organizations explain the variation of network engagement and the gained benefits from the network among the VOAD/COAD members? The results show that the procedures of adaptation in disaster relief nonprofit organizations are associated with a rhizomic rather than a linear approach, which is implied by the theory of dynamic capabilities. Strategic connectivity, temporal simultaneity, and directional flexibility are the three critical features of the rhizome model. Additionally, dynamic capabilities significantly influence organizational performance in service provision, public policy engagement, and social capital cultivation, although sensing, learning, integrating, and coordinating capabilities shape performance differently. Moreover, network engagement, as an uncommon practice for disaster relief nonprofit organizations, is also impacted by the dynamic capabilities of disaster relief nonprofit organizations. The result shows that dynamic capabilities, especially learning capability, can promote the acquired benefits of disaster relief nonprofit organizations by bringing them more support in volunteer management and financial opportunities.
The findings not only advance the current discussion about nonprofit engagement in disaster management but also add knowledge on dynamic capabilities in the third sector. The exploration of adaptations in disaster relief nonprofit organizations and the operation of the VOAD/COAD network provides valuable implications to both nonprofit managers and government officials.
ContributorsLi, Peiyao (Author) / Wang, Lili (Thesis advisor) / Mook, Laurie (Thesis advisor) / Gerber, Brian (Committee member) / Gall, Melanie (Committee member) / Kapucu, Naim (Committee member) / Arizona State University (Publisher)
Created2023
Description
Tools designed to help match people with behaviors they identify as likely to lead to a successful behavioral outcome remain under-researched. This study assessed the effect of a participant-driven behavior-matching intervention on 1) the adoption of a new behavior related to fruit and vegetable (F&V) consumption, 2) study attrition, and 3) changes in F&V consumption. In this two-arm randomized controlled trial, 64 adults who did not meet standard F&V recommendations were allocated to an intervention (n=33) or control group (n=31). Participants in the intervention group ranked 20 F&V-related behaviors according to their perceived likelihood of engagement in the behavior and their perception of the behavior’s efficacy in increasing F&V consumption. Participants in the intervention group were subsequently shown the list of 20 behaviors in order of their provided rankings, with the highest-ranked behaviors at the top, and were asked to choose a behavior they would like to perform daily for 4 weeks. The control group chose from a random-order list of the same 20 behaviors to adopt daily for 4 weeks. During the study period, text messages were sent to all participants 90 minutes before their reported bedtime to collect Yes/No data reflecting successful behavior engagement each day. The binary repeated-measures data collected from the text messages was analyzed using mixed-effects logistic regression, differences in attrition were assessed using log-rank analysis, and change scores in F&V consumption were compared between the two groups using the Man-Whitney U test. P<0.05 indicated significance. The rate of successful behavior adoption did not differ significantly between the two groups (b=0.09, 95%CI= -0.81, 0.98, p=0.85). The log rank test results indicated that there was no significant difference in attrition between the two groups (χ2=2.68, df=1, p=0.10). F&V consumption increased significantly over the 4 weeks in the total sample (Z=-5.86, p<0.001), but no differences in F&V change scores were identified between the control and intervention groups (Z=-0.21, p=0.84). The behavior-matching tool assessed in this study did not significantly improve behavior adoption, study attrition, or F&V intake over 4 weeks.
ContributorsCosgrove, Kelly Sarah (Author) / Wharton, Christopher (Thesis advisor) / Adams, Marc (Committee member) / DesRoches, Tyler (Committee member) / Grebitus, Carola (Committee member) / Johnston, Carol (Committee member) / Arizona State University (Publisher)
Created2023
Description
City governments have an opportunity to address historic environmental injustices through the management of their urban forests. When applying environmental justice to the management of urban trees, the common approach is to plant new trees in areas with high proportions of underserved residents and low tree canopy. This is the approach taken by many programs, such as the MillionTrees programs in Los Angeles and New York City. However, these initiatives do not always result in just outcomes and, in some cases, exacerbate existing inequities. This suggests the need for a model of urban tree canopy (UTC) justice that encapsulates distributive, procedural, and recognition justice. In this thesis, I suggest such a model of UTC justice that incorporates ecosystem services and disservices to understand resident satisfaction with neighborhood trees. I then apply the model to the case of the Phoenix, Arizona metropolitan area by assessing local UTC plans for mentions of environmental justice. Finally, I use multiple regression analysis to identify the relationship between neighborhood tree canopy percentage and resident satisfaction with neighborhood trees. Results indicate that tree canopy is a statistically insignificant determinant of resident satisfaction in 23 of 30 models. This supports my model of UTC justice in that it suggests that there is a confounding variable between UTC provisioning and resident satisfaction. This thesis culminates in recommendations for city governments, including the use of longitudinal socioecological surveys to evaluate the need for and success of UTC plans for environmental justice.
ContributorsCrichlow, Timara (Author) / DesRoches, Tyler (Thesis advisor) / Coseo, Paul (Thesis advisor) / Melnick, Rob (Committee member) / Pataki, Diane (Committee member) / Arizona State University (Publisher)
Created2024
Description
For the last 10 years, the American Southwest has been experiencing the most persistent drought conditions on record. Based on future climactic predictions, there is a dire need to reduce water usage within Phoenix. An environmentally responsible behavior such as low water use landscaping (xeriscaping), has been shown to reduce household water consumption by 40%-70%. While much is known regarding the relationship between socio-demographics and xeriscaping choices, the influence of other variables remains to be explored. Using data from the 2017 Phoenix Area Social Survey, this study investigates the influence of two additional variables - ecological worldview and place identity on xeriscaping choice. Data was analyzed using two models - Ordinary Least Squares (OLS) and Linear Probability Model (LPM). Ecological worldview and place identity, along with income, ethnicity, and gender, were all found to be positively related to xeriscape preference. Additionally, when compared to the LPM, the traditional OLS was found to still be the most robust and appropriate model when measuring landscape preference. Finally, results suggested that programs to foster identity with the local desert mountain parks may help to increase xeriscaping in the Valley and thus lower residential water use.
ContributorsSampson, Marena (Author) / Budruk, Megha (Thesis advisor) / Larson, Kelli (Committee member) / Gall, Melanie (Committee member) / Arizona State University (Publisher)
Created2018
Description
Societies seeking sustainability are transitioning from fossil fuels to clean, renewable energy sources to mitigate dangerous climate change. Energy transitions involve ethically controversial decisions that affect current and future generations’ well-being. As energy systems in the United States transition towards renewable energy, American Indian reservations with abundant energy sources are some of the most significantly impacted communities. Strikingly, energy ethicists have not yet developed a systematic approach for prescribing ethical action within the context of energy decisions. This dissertation reinvents energy ethics as a distinct sub-discipline of applied ethics, integrating virtue ethics, deontology, and consequentialism with Sioux, Navajo, and Hopi ethical perspectives. On this new account, applied energy ethics is the analysis of questions of right and wrong using a framework for prescribing action and proper policies within private and public energy decisions. To demonstrate the usefulness of applied energy ethics, this dissertation analyzes two case studies situated on American Indian reservations: the Dakota Access Pipeline and the Navajo Generating Station.
ContributorsBethem, Jacob (Author) / DesRoches, Tyler (Thesis advisor) / Pasqualetti, Martin J (Committee member) / Graffy, Elisabeth (Committee member) / Arizona State University (Publisher)
Created2019
Description
Studies suggest that graduate students experience higher rates of anxiety and depression than their peers outside of academia. Studies also show exercise is correlated with lower levels of anxiety and depression among graduate students. However, despite this evidence, nearly half of graduate students do not exercise regularly. Accordingly, I suggest universities consider adding an exercise requirement to promote graduate student well-being. One potential objection to this recommendation is that an exercise requirement is objectionably paternalistic. I answer this objection with two possible replies. First, there are reasons why the exercise requirement might not be paternalistic, and there may be sufficient non-paternalistic reasons to justify the policy. Second, there are reasons why even if the policy is paternalistic, it is not objectionably paternalistic, and may still be justified. I will offer reasons to consider paternalism in a positive light and why the exercise requirement may be an example of a good paternalistic policy. Because the exercise requirement might be justified on paternalistic grounds, there are reasons to consider other paternalistic policies to promote graduate student well-being.
ContributorsArthur, Philip (Author) / de Marneffe, Peter (Thesis advisor) / Portmore, Doug (Committee member) / DesRoches, Tyler (Committee member) / Arizona State University (Publisher)
Created2020
Description
According to hedonism about happiness, all and only enjoyable experiences are the basic constituents of one’s happiness, and these experiences contribute to one’s happiness just to the extent that they have a greater intensity or duration. After defending this view, I show that it must be amended to count as an equally plausible theory of what constitutes one’s well-being. I then present two such amended versions of hedonism about well-being. The first, which I call objective hedonism, adds the claim that the objective worth of the things one enjoys also makes a difference to the extent to which an enjoyable experience contributes to one’s well-being. The second, which I call reliabilist hedonism, adds the claim that one’s evaluative intuitions about which things are good for one track which things have proven themselves to one to reliably lead to enjoyable experience. I conclude that reliabilist hedonism constitutes a revival of hedonism about well-being.
ContributorsFanciullo, James (Author) / Portmore, Douglas W. (Thesis advisor) / Calhoun, Cheshire (Committee member) / DesRoches, Tyler (Committee member) / Arizona State University (Publisher)
Created2020