Rescue of traffic accident injuries to nearest hospital using vector GIS Obaidat, Mohammed Taleb
Publication details: Road safety on four continents: Warsaw, Poland 5-7 October 2005. Paper, 2005Description: 9 sSubject(s): Bibl.nr: VTI 2005.0795Location: Abstract: An attempt to find automatically the nearest hospital to rescue injured people of accidents, and to send emergency medical service and care are demonstrated. Traffic and pedestrian accidents data used for the years 2001, 2002 and 2003 was obtained from the civil defense department (Rescue Department) at Irbid city, Jordan. Geographic Information Systems (GIS) themes and their associated databases were built using Arcview GIS software. Databases of themes contained types, causes, locations and time of accidents, call time, rescue departure and arrival time, required time to move injures to hospital, distance between accident and civil defense, distance from accident to hospital, accidents participants, and hospital name and location. Multiple regression analysis was used to model and predict the relationship between the previous database variables and the time duration required to rescue injuries from accident location to the nearest hospital. Results showed that GIS could be effectively used for this purpose by selecting the shortest path to the accident and thus rescue lives of injuries to the nearest hospital.Current library | Call number | Status | Date due | Barcode | |
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Statens väg- och transportforskningsinstitut | Available |
An attempt to find automatically the nearest hospital to rescue injured people of accidents, and to send emergency medical service and care are demonstrated. Traffic and pedestrian accidents data used for the years 2001, 2002 and 2003 was obtained from the civil defense department (Rescue Department) at Irbid city, Jordan. Geographic Information Systems (GIS) themes and their associated databases were built using Arcview GIS software. Databases of themes contained types, causes, locations and time of accidents, call time, rescue departure and arrival time, required time to move injures to hospital, distance between accident and civil defense, distance from accident to hospital, accidents participants, and hospital name and location. Multiple regression analysis was used to model and predict the relationship between the previous database variables and the time duration required to rescue injuries from accident location to the nearest hospital. Results showed that GIS could be effectively used for this purpose by selecting the shortest path to the accident and thus rescue lives of injuries to the nearest hospital.