ANALYSIS OF ROAD TRAFFIC ACCIDENTS IN ANTALYA PROVINCE (TURKEY) USING GEOGRAPHICAL INFORMATION SYSTEMS

2016 ◽  
Vol 4 (4) ◽  
pp. 309-309
Author(s):  
Ela ERTUNÇ ◽  
Tayfun ÇAY ◽  
Ömer MUTLUOĞLU
Keyword(s):  
Information Systems ◽  
Geographical Information Systems ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Geographical Information ◽  
Road Traffic Accidents

scholarly journals (A16) Using Geographical Information Systems in Road Traffic Injury Research: A Case Study of New Mumbai, India

2011 ◽  
Vol 26 (S1) ◽  
pp. s4-s5
Author(s):  
A. Srikanth ◽  
B. Guru
Keyword(s):  
Information Systems ◽  
Geographical Information Systems ◽  
Road Traffic ◽  
Hot Spot ◽  
Case Fatality ◽  
Educational Interventions ◽  
Geographical Information ◽  
Western India ◽  
Financial Loss ◽  
Software Environment

IntroductionA multidisciplinary approach with Geographical information systems, Public health and Social science inputs was adopted to survey the fatal and non-fatal traffic crash events in the New Mumbai municipality region in Western India to identify the risky zones on the arterial highways.MethodsA Standardized questionnaire was used to collect event data about the time, date, day of the week, location, type of injury, and vehicle type involved in the accidents, from the police station records. The data for the time period of January 2009 to July 2010 was merged into ESRI's ArcGIS software as attribute data. All the crash sites were georeferenced into the base map (with the major road networks of the region) by using a GPS receiver.ResultsAnalysis was done for Hot spot identification along the major highways, number of accidents, number of fatalities and injured, case-fatality ratio and number of accidents with only financial loss. Further, the role of environmental, geographical, sociological and constructional factors was highlighted on the locations of the RTC. These roadway factors, weather, population density, road conditions, profile of the injured and healthcare access was studied. Majority of RTCs occurred during normal weather and road conditions, during daylight and on dry roads. All the analyses and interpretations were done within the ArcGIS software environment and classifying RTCs according to the attributes on the Geodatabase gave significant results.ConclusionSpatial analysis using GIS for Road Traffic Accidents to identify hot spots to identify high risk zones in the region enables policy makers to design injury prevention strategies for RTCs. In India, further GIS-based research is needed for planning access to emergency health care, to determine environmental-related causes, developing Injury registries and design population-based educational interventions in a developing country setting.

Spatiotemporal Clustering and Analysis of Road Accident Hotspots by Exploiting GIS Technology and Kernel Density Estimation

2020 ◽  
Author(s):  
Syed Saqib Ali Kazmi ◽  
Mehreen Ahmed ◽  
Rafia Mumtaz ◽  
Zahid Anwar
Keyword(s):  
Density Estimation ◽  
Kernel Density Estimation ◽  
Geographical Information Systems ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Transportation Network ◽  
Kernel Density ◽  
Road Accident ◽  
Geographical Information ◽  
Gis Technology

Abstract Traffic accidents are a common problem in any transportation network. Road traffic accidents are predicted to be the seventh leading cause of deaths by the year 2030. Recently research in the integration of geographical information systems (GIS) for analyzing accidents, road design and safety management has increased considerably. The perpetual use of GIS tools, lead this study to propose the identification of accident hotspots by exploiting GIS technology coupled with kernel density estimation (KDE). This paper proposes the use of KDE technique and GIS technology to automatically identify the accident hotspots using UK as the study area. Analysis shows that most of the accidents occur when there is a 30 mph speed limit, a weekend, in the evening time, during the months of October and November, on the single carriageway, where there is ‘T’ or staggered junction and on ‘A’ road class. Moreover, this study also proposed techniques to classify the accident severity that is classified as either fatal, serious or slight. The driver behavior and environmental features achieved an accuracy up to 85% on the severity classification with Bagging technique. Further, the shortcomings, limitations and recommendations for future work are also identified.

ADHD is a Risk Factor of Road Crashes: A Purposive Study of Finding Relation between ADHD and Road Traffic Accident in Bangladesh

2018 ◽  
Vol 9 (08) ◽  
pp. 20531-20536
Author(s):  
Nusrat Shamima Nur ◽  
M. S. l. Mullick ◽  
Ahmed Hossain
Keyword(s):  
Risk Factor ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Fatality Rate ◽  
Road Traffic Accidents ◽  
Road Crashes ◽  
Road Crash ◽  
Day By Day

Background: In Bangladesh fatality rate due to road traffic accidents is rising sharply day by day. At least 2297 people were killed and 5480 were injured in road traffic accidents within 1st six months of 2017.Whereas in the previous year at 2016 at least 1941 people were killed and 4794 were injured within the 1st six months. No survey has been reported in Bangladesh yet correlating ADHD as a reason of impulsive driving which ends up in a road crash.

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