Date of Award
2024
Document Type
Dissertation
Degree Name
Criminal Justice, Legal Studies, and Homeland Security (D.P.S.)
Department
Division of Criminal Justice and Homeland Security
First Advisor
Bernard Jones
Second Advisor
Brian Harte
Third Advisor
Christopher Cleary
Abstract
The purpose of this research was to apply Social Identity Theory concepts to a modified Technology Acceptance Model for existing application-based software technologies on android and iOS platforms in an effort to facilitate user expectations of reunification efforts for pre-planned or spontaneous evacuations of Outdoor Music Festivals (OMF). Geofencing technology combined with geolocation sharing software will enable users that “opt-in” the ability to interface, plan, and disseminate instructions when separated from their social groups. While the overarching goal will allow evacuees to maintain baseline situational/spatial awareness, the modified concept, when applied, functions as a pseudo-visual crowd analysis tool for evacuees to locate one another and report their safety status absent a formal or hasty reunification action plan. Enabling the crowd’s ability to increase decision-making skills and self-reporting adds additional layers of accountability and control for festival promoters, state, and local coordinating authorities. Using Firefly Music Festival, located in Dover, Delaware, the research examined a multiday OMF with an on-site camping component and a daily maximum capacity of 50,000 attendees to garner input for respondent data. Research findings demonstrated that the perceived usefulness of an app led to a positive attitude towards using the application and adoption, and thus developing positive intention for actual use of the Firefly Music Festival Mobile App during the festival, by festival attendees.
Recommended Citation
Puchalsky, Justin Andrew, "OPTIMIZING REUNIFICATION CAPABILITIES AT OUTDOOR MUSIC FESTIVALS: EMPOWERING SOCIAL GROUPS TO MAINTAIN SITUATIONAL AWARENESS THROUGH GEOFENCING AND GEOLOCATION" (2024). Theses and Dissertations. 796.
https://scholar.stjohns.edu/theses_dissertations/796