Literature DB >> 18215546

Geographical information systems aided traffic accident analysis system case study: city of Afyonkarahisar.

Saffet Erdogan1, Ibrahim Yilmaz, Tamer Baybura, Mevlut Gullu.   

Abstract

Geographical Information System (GIS) technology has been a popular tool for visualization of accident data and analysis of hot spots in highways. Many traffic agencies have been using GIS for accident analysis. Accident analysis studies aim at the identification of high rate accident locations and safety deficient areas on the highways. So, traffic officials can implement precautionary measures and provisions for traffic safety. Since accident reports are prepared in textual format in Turkey, this situation makes it difficult to analyze accident results. In our study, we developed a system transforming these textual data to tabular form and then this tabular data were georeferenced onto the highways. Then, the hot spots in the highways in Afyonkarahisar administrative border were explored and determined with two different methods of Kernel Density analysis and repeatability analysis. Subsequently, accident conditions at these hot spots were examined. We realized that the hot spots determined with two methods reflect really problematic places such as cross roads, junction points etc. Many of previous studies introduced GIS only as a visualization tool for accident locations. The importance of this study was to use GIS as a management system for accident analysis and determination of hot spots in Turkey with statistical analysis methods.

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Year:  2007        PMID: 18215546     DOI: 10.1016/j.aap.2007.05.004

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  12 in total

1.  A geographical information system using the Google Map API for guidance to referral hospitals.

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Journal:  J Med Syst       Date:  2009-06-26       Impact factor: 4.460

2.  Differential patterns, trends and hotspots of road traffic injuries on different road networks in Vellore district, southern India.

Authors:  Venkata Raghava Mohan; Rajiv Sarkar; Vinod Joseph Abraham; Vinohar Balraj; Elena N Naumova
Journal:  Trop Med Int Health       Date:  2014-12-16       Impact factor: 2.622

3.  Urban population size and road traffic collisions in Europe.

Authors:  Carmen Cabrera-Arnau; Steven R Bishop
Journal:  PLoS One       Date:  2021-08-27       Impact factor: 3.240

4.  The impact of built environment on pedestrian crashes and the identification of crash clusters on an urban university campus.

Authors:  Dajun Dai; Emily Taquechel; John Steward; Sheryl Strasser
Journal:  West J Emerg Med       Date:  2010-08

5.  Unraveling Urban Form and Collision Risk: The Spatial Distribution of Traffic Accidents in Zanjan, Iran.

Authors:  Mohsen Kalantari; Saeed Zanganeh Shahraki; Bamshad Yaghmaei; Somaye Ghezelbash; Gianluca Ladaga; Luca Salvati
Journal:  Int J Environ Res Public Health       Date:  2021-04-23       Impact factor: 3.390

6.  The Characteristics of Road Traffic Fatalities in Kazakhstan's Semey Region, 2006-2010: A Descriptive Retrospective Study.

Authors:  Ayan Myssayev; Serik Meirmanov; Tolebay Rakhypbekov; Tolkyn Bulegenov; Yuliya Semenova
Journal:  Iran J Public Health       Date:  2014-06       Impact factor: 1.429

7.  Predicting and Interpreting Spatial Accidents through MDLSTM.

Authors:  Tianzheng Xiao; Huapu Lu; Jianyu Wang; Katrina Wang
Journal:  Int J Environ Res Public Health       Date:  2021-02-03       Impact factor: 3.390

8.  Brazilian road traffic fatalities: a spatial and environmental analysis.

Authors:  Luciano de Andrade; João Ricardo Nickenig Vissoci; Clarissa Garcia Rodrigues; Karen Finato; Elias Carvalho; Ricardo Pietrobon; Eniuce Menezes de Souza; Oscar Kenji Nihei; Catherine Lynch; Maria Dalva de Barros Carvalho
Journal:  PLoS One       Date:  2014-01-30       Impact factor: 3.240

9.  Spatial Distribution Characteristics of Healthcare Facilities in Nanjing: Network Point Pattern Analysis and Correlation Analysis.

Authors:  Jianhua Ni; Tianlu Qian; Changbai Xi; Yikang Rui; Jiechen Wang
Journal:  Int J Environ Res Public Health       Date:  2016-08-18       Impact factor: 3.390

10.  A novel rare event approach to measure the randomness and concentration of road accidents.

Authors:  Rafael Prieto Curiel; Humberto González Ramírez; Steven Richard Bishop
Journal:  PLoS One       Date:  2018-08-08       Impact factor: 3.240

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