This study aimed to investigate crash rates across four distinct periods—evacuation, re-entry, emergency, and non-emergency—during Hurricanes Matthew (2016), Irma (2017), and Michael (2018). A notable gap in existing research pertains to understanding crash rates during these critical phases of hurricane events. By addressing this gap, this research contributes to a deeper comprehension of evacuation transportation safety. The methodology employed ArcMap to construct an interactive map for data collection, encompassing key variables such as the number of crashes, traffic volumes, duration of each period under analysis, and roadway segment lengths for each hurricane. Evaluating the crash rate per million vehicular miles was a crucial analysis tool and finding of this research, enabling a comprehensive evaluation of segment safety across different periods. Non-emergency periods exhibited crash rates two orders of magnitude higher than those observed during evacuation, re-entry, and emergency periods. While a correlation between non-emergency and emergency period crash rates was apparent, the same could not be concluded for non-emergency and re-entry periods.
","abstract_html":"<p>This study aimed to investigate crash rates across four distinct periods—evacuation, re-entry, emergency, and non-emergency—during Hurricanes Matthew (2016), Irma (2017), and Michael (2018). A notable gap in existing research pertains to understanding crash rates during these critical phases of hurricane events. By addressing this gap, this research contributes to a deeper comprehension of evacuation transportation safety. The methodology employed ArcMap to construct an interactive map for data collection, encompassing key variables such as the number of crashes, traffic volumes, duration of each period under analysis, and roadway segment lengths for each hurricane. Evaluating the crash rate per million vehicular miles was a crucial analysis tool and finding of this research, enabling a comprehensive evaluation of segment safety across different periods. Non-emergency periods exhibited crash rates two orders of magnitude higher than those observed during evacuation, re-entry, and emergency periods. While a correlation between non-emergency and emergency period crash rates was apparent, the same could not be concluded for non-emergency and re-entry periods.</p>","abstract_has_math":false,"creators":["Lawson, Amelia K"],"institution":null,"degree_name":"Master of Science in Civil Engineering","degree_level":"Thesis - Open Access","degree_discipline":"Civil Engineering","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2024,"date_issued":"2024-03-22T07:00:00Z","date_published":"2024-03-22T07:00:00Z","updated_at":"2026-07-27T19:25:29Z","subjects":["non-emergency","evacuation","crash analysis","crash rates","safety","re-entry","Civil Engineering","Transportation Engineering"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://commons.erau.edu/edt/822","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Lawson, Amelia K"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Civil Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis - Open Access"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science in Civil Engineering"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["non-emergency","evacuation","crash analysis","crash rates","safety","re-entry","Civil Engineering","Transportation Engineering"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://commons.erau.edu/edt/822"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This study aimed to investigate crash rates across four distinct periods—evacuation, re-entry, emergency, and non-emergency—during Hurricanes Matthew (2016), Irma (2017), and Michael (2018). A notable gap in existing research pertains to understanding crash rates during these critical phases of hurricane events. By addressing this gap, this research contributes to a deeper comprehension of evacuation transportation safety. The methodology employed ArcMap to construct an interactive map for data collection, encompassing key variables such as the number of crashes, traffic volumes, duration of each period under analysis, and roadway segment lengths for each hurricane. Evaluating the crash rate per million vehicular miles was a crucial analysis tool and finding of this research, enabling a comprehensive evaluation of segment safety across different periods. Non-emergency periods exhibited crash rates two orders of magnitude higher than those observed during evacuation, re-entry, and emergency periods. While a correlation between non-emergency and emergency period crash rates was apparent, the same could not be concluded for non-emergency and re-entry periods.
"]},{"key":"dc:title","label":"Title","values":["Safety Investigation of Crash Rates During Hurricane Evacuations"]}]}],"canonical_facts":{"dc:creator":["Lawson, Amelia K"],"dc:description.abstract":["This study aimed to investigate crash rates across four distinct periods—evacuation, re-entry, emergency, and non-emergency—during Hurricanes Matthew (2016), Irma (2017), and Michael (2018). A notable gap in existing research pertains to understanding crash rates during these critical phases of hurricane events. By addressing this gap, this research contributes to a deeper comprehension of evacuation transportation safety. The methodology employed ArcMap to construct an interactive map for data collection, encompassing key variables such as the number of crashes, traffic volumes, duration of each period under analysis, and roadway segment lengths for each hurricane. Evaluating the crash rate per million vehicular miles was a crucial analysis tool and finding of this research, enabling a comprehensive evaluation of segment safety across different periods. Non-emergency periods exhibited crash rates two orders of magnitude higher than those observed during evacuation, re-entry, and emergency periods. While a correlation between non-emergency and emergency period crash rates was apparent, the same could not be concluded for non-emergency and re-entry periods.
"],"dc:identifier":["https://commons.erau.edu/edt/822"],"dc:subject":["non-emergency","evacuation","crash analysis","crash rates","safety","re-entry","Civil Engineering","Transportation Engineering"],"dc:title":["Safety Investigation of Crash Rates During Hurricane Evacuations"],"thesis:degree_discipline":["Civil Engineering"],"thesis:degree_level":["Thesis - Open Access"],"thesis:degree_name":["Master of Science in Civil Engineering"]},"updated_at":"2026-07-27T19:25:29Z"}