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- All Subjects: Social Psychology
Description
Denver, Colorado is experiencing an unprecedented growth spurt, particularly in the downtown neighborhoods. As such, the city has proposed a multitude of urban revitalization projects in its urban core. This pattern of revitalization has unintended consequences including changes in residents’ meanings assigned to their neighborhoods and subsequently changes in residents’ attachment to those neighborhoods. Given this, the purpose of this phenomenological study was to use a symbolic interactionist perspective to uncover resident meanings of their neighborhoods and discover how redevelopment efforts are affecting those assigned meanings. Participants, recruited through the snowball sampling method in the Globeville and Elyria-Swansea neighborhoods in downtown Denver, were interviewed during spring of 2017. Photo-elicitation techniques were used as part of the interviews. Additionally, secondary data available through public documents were analyzed to provide a context for understanding the changes that are taking place in the selected neighborhoods. This data aids in guiding future research, which may ultimately better inform the government agencies and private organizations who are looking to redevelop low-income neighborhoods similar to the Globeville and Elyria-Swansea neighborhoods in the given study.
ContributorsHumberger, Olivia (Author) / Budruk, Megha (Thesis advisor) / Knopf, Richard (Committee member) / Larsen, Dale (Committee member) / Tetreault, Colin (Committee member) / Arizona State University (Publisher)
Created2018
Description
Increasingly, wildfires are threatening communities, forcing evacuations, damaging property, and causing loss of life. This is in part due to a century of wildfire policy and an influx of people moving to the wildland urban interface (WUI). National programs have identified and promoted effective wildfire mitigation actions to reduce wildfire risk; yet, many homeowners do not perform these actions. Based on previous literature and using the theory of planned behavior (TPB), this study proposes an integrated wildfire mitigation behavioral model to assess and identify the factors that influence homeowners’ wildfire mitigation behaviors. Specifically, the study tests the validity of the theory of planned behavior as a foundational model in exploring wildfire mitigation behaviors, develops and empirically tests a wildfire mitigation behavioral model, and explores the role of homeowner associations (HOA) on wildfire mitigation behaviors. Structural equation modeling was used on data collected from homeowners with property in the WUI in Prescott, Arizona. Results suggest TPB provides an acceptable model in describing homeowner wildfire mitigation behavior. For HOA residents, attitudes toward wildfire mitigation behaviors play an important role in predicting intentions to perform these behaviors. Additionally, perceived constraints directly influenced actual mitigation actions. For non-HOA residents, subjective norms influenced intentions to mitigate. Implications for research and local wildfire mitigation programs and policy are discussed.
ContributorsSteffey, Eric Clifford (Author) / Budruk, Megha (Thesis advisor) / Vogt, Christine (Committee member) / Virden, Randy (Committee member) / Larson, Kelli (Committee member) / Arizona State University (Publisher)
Created2016
Description
Crowding and satisfaction remain widely studied concepts among those seeking to understand quality visitor experiences. One area of interest in this study is how the order of crowding and satisfaction items on a survey affects their measurement levels. An additional area of interest is the influence of personality traits on experience-use-history, crowding, and satisfaction. This study used two versions of a survey: A) crowding measured prior to satisfaction and B) satisfaction measured prior to crowding, to explore the influence of item order on crowding and satisfaction levels. Additionally, the study explored the influence of personality traits (extraversion and neuroticism) and experience use history (EUH) on crowding and satisfaction. EUH was included as a variable of interest given previous empirical evidence of its influence on crowding and satisfaction. Data were obtained from an onsite self-administered questionnaire distributed to day use visitors at a 16,000 acre desert landscape municipal park in Arizona. A total of 619 completed questionnaires (equally distributed between the two survey versions) were obtained. The resulting response rate was 80%. One-way ANOVA's indicated significant differences in crowding and satisfaction levels with both crowding and satisfaction levels being higher for survey version B. Path analysis was used to test the influence of personality traits and EUH on crowding and satisfaction. Two models, one for each version of the survey were developed using AMOS 5. The first model was tested using data in which crowding was measured prior to satisfaction. The second model relied on data in which satisfaction was measured prior to crowding. Results indicated that personality traits influenced crowding and satisfaction. Specifically, in the first model, significant relationships were observed between neuroticism and crowding, neuroticism and EUH, EUH and crowding, and between crowding and satisfaction. In the second model, significant relationships were observed between extraversion and crowding, extraversion and satisfaction, and between EUH and satisfaction. Findings suggest crowding and satisfaction item order have a potential to influence their measurement. Additionally, results indicate that personality traits potentially influence visitor experience evaluation. Implications of these findings are discussed.
ContributorsHolloway, Andrew (Author) / Budruk, Megha (Thesis advisor) / Lee, Woojin (Committee member) / Foti, Pamela (Committee member) / Arizona State University (Publisher)
Created2011
Description
Destination image refers to the sum of beliefs, ideas, and impressions a person has toward a tourism destination, which can be classified as either projected or perceived, from a supply-demand perspective. Projected destination images are beliefs of the destination designed by official destination marketing (management) organizations (DMOs) aiming to appeal to tourists. In contrast, perceived destination images are tourists’ perceptions of the destinations, which are usually posted and promoted through user-generated content (UGC). Although previous studies have documented the differences in destination marketing strategy effectiveness between projected and perceived destination images, little research has examined this from a visual attention angle. Therefore, guided by the dual-process theory, this study compares the visual attention patterns of the two destination image sources and examines how these visual attention patterns may influence advertisement effectiveness using a mixed-methods of eye-tracking experiments and post-experiment surveys, analyzed using paired-sample t-tests and linear regression models. Given the growing importance of the Chinese tourism market for Kenya and the uniqueness of Kenya as a tourist destination, the participants were recruited from Chinese residents who expressed potential travel to Kenya (n=61). Data from the experiment and the questionnaire was collected in July 2021 and analyzed using paired-sample t-tests and linear regression models. Results indicated that DMO images elicit longer and more frequent fixations than UGC images. Additionally, this study suggests that visual attention in terms of fixation duration has a significant positive impact on the advertisement effectiveness of Kenyan destination images. The study contributes to the literature by providing insights into how people visually perceive destination images and advances the dual-processes theory. Practically, the study suggests that integrating DMO pictures into UGC might be an effective approach to enhance the advertisement effectiveness of destination images.
ContributorsJin, Ziming (Author) / Budruk, Megha (Thesis advisor) / Xiao, Xiao (Committee member) / Edwards, Mike (Committee member) / Arizona State University (Publisher)
Created2023