This study spatially analyzes emergency 911 call-for-service records from January 1, 2000 through December 31, 2009 for motor vehicle accidents inside the corporate limits of Johnson City, Tennessee. Records were compared according to the land use classification for adjacent properties, roadway type, and traffic signal proximity. Data were evaluated through ArcGIS software using proximity analysis, point pattern analysis, and hotspot analysis.
Motor vehicle accidents evaluated during this study consist of accident locations reported to the Washington County Emergency Communications District concerning property damage, personal injury, and fatalities. Results indicate localized areas with the highest number of traffic accidents contain the most motor vehicle injury accidents. Twice as many motor vehicle accidents occur near commercial properties compared to residential properties. Motor vehicle accidents are more likely to occur on arterial thoroughfares. Approximately 40% of injury accidents happen at roadway intersections, with 22% occurring at signalized intersections.
","abstract_html":"<p>This study spatially analyzes emergency 911 call-for-service records from January 1, 2000 through December 31, 2009 for motor vehicle accidents inside the corporate limits of Johnson City, Tennessee. Records were compared according to the land use classification for adjacent properties, roadway type, and traffic signal proximity. Data were evaluated through ArcGIS software using proximity analysis, point pattern analysis, and hotspot analysis.</p><p>Motor vehicle accidents evaluated during this study consist of accident locations reported to the Washington County Emergency Communications District concerning property damage, personal injury, and fatalities. Results indicate localized areas with the highest number of traffic accidents contain the most motor vehicle injury accidents. Twice as many motor vehicle accidents occur near commercial properties compared to residential properties. Motor vehicle accidents are more likely to occur on arterial thoroughfares. Approximately 40% of injury accidents happen at roadway intersections, with 22% occurring at signalized intersections.</p>","abstract_has_math":false,"creators":["Bennett, Katharine D"],"institution":null,"degree_name":"MS (Master of Science)","degree_level":"Thesis - unrestricted","degree_discipline":"Technology","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2010,"date_issued":"2010-12-18T08:00:00Z","date_published":"2010-12-18T08:00:00Z","updated_at":"2026-07-24T02:20:55Z","subjects":["GIS","911","accident analysis","traffic","land use","Public Affairs, Public Policy and Public Administration","Social and Behavioral Sciences","Transportation"],"languages":[],"rights":["Copyright by the authors."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://dc.etsu.edu/etd/1778","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Bennett, Katharine D"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.issued","label":"Date","values":["2010-12-18T08:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Technology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis - unrestricted"]},{"key":"thesis:degree_name","label":"Degree Name","values":["MS (Master of Science)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["GIS","911","accident analysis","traffic","land use","Public Affairs, Public Policy and Public Administration","Social and Behavioral Sciences","Transportation"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["Copyright by the authors."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://dc.etsu.edu/context/etd/article/3133/viewcontent/BennettK120310f.pdf","https://dc.etsu.edu/etd/1778"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This study spatially analyzes emergency 911 call-for-service records from January 1, 2000 through December 31, 2009 for motor vehicle accidents inside the corporate limits of Johnson City, Tennessee. Records were compared according to the land use classification for adjacent properties, roadway type, and traffic signal proximity. Data were evaluated through ArcGIS software using proximity analysis, point pattern analysis, and hotspot analysis.
Motor vehicle accidents evaluated during this study consist of accident locations reported to the Washington County Emergency Communications District concerning property damage, personal injury, and fatalities. Results indicate localized areas with the highest number of traffic accidents contain the most motor vehicle injury accidents. Twice as many motor vehicle accidents occur near commercial properties compared to residential properties. Motor vehicle accidents are more likely to occur on arterial thoroughfares. Approximately 40% of injury accidents happen at roadway intersections, with 22% occurring at signalized intersections.
"]},{"key":"dc:title","label":"Title","values":["Spatial Analysis of Motor Vehicle Accidents in Johnson City, Tennessee, as Reported to Washington County Emergency Communications District (911)."]}]}],"canonical_facts":{"dc:creator":["Bennett, Katharine D"],"dc:date.issued":["2010-12-18T08:00:00Z"],"dc:description.abstract":["This study spatially analyzes emergency 911 call-for-service records from January 1, 2000 through December 31, 2009 for motor vehicle accidents inside the corporate limits of Johnson City, Tennessee. Records were compared according to the land use classification for adjacent properties, roadway type, and traffic signal proximity. Data were evaluated through ArcGIS software using proximity analysis, point pattern analysis, and hotspot analysis.
Motor vehicle accidents evaluated during this study consist of accident locations reported to the Washington County Emergency Communications District concerning property damage, personal injury, and fatalities. Results indicate localized areas with the highest number of traffic accidents contain the most motor vehicle injury accidents. Twice as many motor vehicle accidents occur near commercial properties compared to residential properties. Motor vehicle accidents are more likely to occur on arterial thoroughfares. Approximately 40% of injury accidents happen at roadway intersections, with 22% occurring at signalized intersections.
"],"dc:identifier":["https://dc.etsu.edu/context/etd/article/3133/viewcontent/BennettK120310f.pdf","https://dc.etsu.edu/etd/1778"],"dc:rights":["Copyright by the authors."],"dc:subject":["GIS","911","accident analysis","traffic","land use","Public Affairs, Public Policy and Public Administration","Social and Behavioral Sciences","Transportation"],"dc:title":["Spatial Analysis of Motor Vehicle Accidents in Johnson City, Tennessee, as Reported to Washington County Emergency Communications District (911)."],"thesis:degree_discipline":["Technology"],"thesis:degree_level":["Thesis - unrestricted"],"thesis:degree_name":["MS (Master of Science)"]},"updated_at":"2026-07-24T02:20:55Z"}