ASU Electronic Theses and Dissertations
This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.
In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.
Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.
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- All Subjects: public policy
Description
Public risk communication (i.e. public emergency warning) is an integral component of public emergency management. Its effectiveness is largely based on the extent to which it elicits appropriate public response to minimize losses from an emergency. While extensive studies have been conducted to investigate individual responsive process to emergency risk information, the literature in emergency management has been largely silent on whether and how emergency impacts can be mitigated through the effective use of information transmission channels for public risk communication. This dissertation attempts to answer this question, in a specific research context of 2009 H1N1 influenza outbreak in Arizona. Methodologically, a prototype agent-based model is developed to examine the research question. Along with the specific disease spread dynamics, the model incorporates individual decision-making and response to emergency risk information. This simulation framework synthesizes knowledge from complexity theory, public emergency management, epidemiology, social network and social influence theory, and both quantitative and qualitative data found in previous studies. It allows testing how emergency risk information needs to be issued to the public to bring desirable social outcomes such as mitigated pandemic impacts. Simulation results generate several insightful propositions. First, in the research context, emergency managers can reduce the pandemic impacts by increasing the percent of state population who use national TV to receive pandemic information to 50%. Further increasing this percent after it reaches 50% brings only marginal effect in impact mitigation. Second, particular attention is needed when emergency managers attempt to increase the percent of state population who believe the importance of information from local TV or national TV, and the frequency in which national TV is used to send pandemic information. Those measures may reduce the pandemic impact in one dimension, while increase the impact in another. Third, no changes need to be made on the percent of state population who use local TV or radio to receive pandemic information, and the frequency in which either channel is used for public risk communication. This dissertation sheds light on the understanding of underlying dynamics of human decision-making during an emergency. It also contributes to the discussion of developing a better understanding of information exchange and communication dynamics during a public emergency and of improving the effectiveness of public emergency management practices in a dynamic environment.
ContributorsZhong, Wei (Author) / Lan, Zhiyong (Thesis advisor) / Kim, Yushim (Committee member) / Corley, Elizabeth (Committee member) / Lant, Timothy (Committee member) / Jehn, Megan (Committee member) / Arizona State University (Publisher)
Created2012
Description
Over the past six years, the use of drones for recreational and commercial purposes has increased dramatically. There are currently over one million registered drones in the United States, and this number is expected to increase in the foreseeable future. For now, drones are a local phenomenon. The operational limitations prevent them from long range activity and federal policies prevent them from operating beyond the visual line of sight of the controller. The localized nature of drone operation makes them a particularly salient issue at the local regulatory level. At this level, cities must contend with the uncertainty of drone operation and a complex regulatory environment. Within a single metropolitan region, there are cities that may attempt to restrict the use of drones through various local ordinances while neighboring cities may have not even considered, let alone adopted, any type of regulation. The reasons behind these policy choices are not clear.
In an effort to understand the factors involved in the decisions to adopt a local drone use policy, this dissertation leverages qualitative methods to analyze the policy process leading to local decisions. The study capitalizes on rich contextual data gathered from a variety of sources for select cities in Orange and Los Angeles Counties. Specifically, this study builds a conceptual framework from policy innovation literature and applies it in the form of content analysis. This initial effort is used to identify the catalysts for policy discussion and the specific innovation mechanisms that support or detract from the decision to adopt a local drone use ordinance. Then, qualitative comparative analysis is used to determine which configuration of factors, identified during the content analysis, contribute to the causal path of policy adoption. Among other things, the results highlight the role that uncertainty plays in the policy process. Cities that adopt a drone use ordinance have low levels of uncertainty, high numbers of registered drone users, and at least two neighboring cities that also have drone use policies. This dissertation makes a modest contribution to policy innovation research, highlights how a configurational analysis technique can be applied to policy adoption decisions, and contains several recommendations for regulating drone use at the local level.
In an effort to understand the factors involved in the decisions to adopt a local drone use policy, this dissertation leverages qualitative methods to analyze the policy process leading to local decisions. The study capitalizes on rich contextual data gathered from a variety of sources for select cities in Orange and Los Angeles Counties. Specifically, this study builds a conceptual framework from policy innovation literature and applies it in the form of content analysis. This initial effort is used to identify the catalysts for policy discussion and the specific innovation mechanisms that support or detract from the decision to adopt a local drone use ordinance. Then, qualitative comparative analysis is used to determine which configuration of factors, identified during the content analysis, contribute to the causal path of policy adoption. Among other things, the results highlight the role that uncertainty plays in the policy process. Cities that adopt a drone use ordinance have low levels of uncertainty, high numbers of registered drone users, and at least two neighboring cities that also have drone use policies. This dissertation makes a modest contribution to policy innovation research, highlights how a configurational analysis technique can be applied to policy adoption decisions, and contains several recommendations for regulating drone use at the local level.
ContributorsNelson, Jake (Author) / Grubesic, Tony H. (Thesis advisor) / Kim, Yushim (Committee member) / Corley, Elizabeth (Committee member) / Mossberger, Karen (Committee member) / Arizona State University (Publisher)
Created2019
Description
Humans have modified land systems for centuries in pursuit of a wide range of social and ecological benefits. Recent decades have seen an increase in the magnitude and scale of land system modification (e.g., the Anthropocene) but also a growing recognition and interest in generating land systems that balance environmental and human well-being. This dissertation focused on three case studies operating at distinctive spatial scales in which broad socio-economic or political-institutional drivers affected land systems, with consequences for the environmental conditions of that system. Employing a land system architecture (LSA) framework and using landscape metrics to quantify landscape composition and configuration from satellite imagery, each case linked these drivers to changes in LSA and environmental outcomes.
The first paper of this dissertation found that divergent design intentions lead to unique trajectories for LSA, the urban heat island effect, and bird community at two urban riparian sites in the Phoenix metropolitan area. The second paper examined institutional shifts that occurred during Cuba’s “special period in time of peace” and found that the resulting land tenure changes both modified and maintained the LSA of the country, changing cropland but preserving forest land. The third paper found that globalized forces may be contributing to the homogenizing urban form of large, populous cities in China, India, and the United States—especially for the ten largest cities in each country—with implications for surface urban heat island intensity. Expanding knowledge on social drivers of land system and environmental change provides insights on designing landscapes that optimize for a range of social and ecological trade-offs.
The first paper of this dissertation found that divergent design intentions lead to unique trajectories for LSA, the urban heat island effect, and bird community at two urban riparian sites in the Phoenix metropolitan area. The second paper examined institutional shifts that occurred during Cuba’s “special period in time of peace” and found that the resulting land tenure changes both modified and maintained the LSA of the country, changing cropland but preserving forest land. The third paper found that globalized forces may be contributing to the homogenizing urban form of large, populous cities in China, India, and the United States—especially for the ten largest cities in each country—with implications for surface urban heat island intensity. Expanding knowledge on social drivers of land system and environmental change provides insights on designing landscapes that optimize for a range of social and ecological trade-offs.
ContributorsStuhlmacher, Michelle (Author) / Turner, II, Billie L. (Thesis advisor) / Georgescu, Matei (Thesis advisor) / Frazier, Amy E. (Committee member) / Kim, Yushim (Committee member) / Arizona State University (Publisher)
Created2020