An Integrated Information System for Road Traffic Accidents

Road traffic accidents come at a high price: 1.25 million road traffic deaths occurred globally in 2013. As the road network and the environmental conditions contribute significantly in the cause of accidents, it is crucial to understand where and when they occur, in order to plan actions for road safety improvement. For this reason, the Region of the North Aegean, Greece, in collaboration with the University of the Aegean, has established a spatial database and a web-based geographic information system (webGIS) for the registration, storage, visualization and analysis of the traffic accidents occurred in its jurisdiction. In this article, besides the development and operation of the system, the authors present a spatio-temporal analysis of the data collected since 2004 for the island of Lesvos. Hot spots and risky periods were identified, leading to useful conclusions and directions for road safety improvements.

[1]  B. Hills Vision, Visibility, and Perception in Driving , 1980, Perception.

[2]  J. Franklin,et al.  Second-Order Neighborhood Analysis of Mapped Point Patterns , 1987 .

[3]  I. Thomas Spatial data aggregation: exploratory analysis of road accidents. , 1996, Accident; analysis and prevention.

[4]  N. Levine,et al.  Using GIS to improve highway safety , 1996 .

[5]  Michael Sivak,et al.  Differentiation of Visibility and Alcohol as Contributors to Twilight Road Fatalities , 1996, Hum. Factors.

[6]  Motorbike injuries in Bermuda: a risk for tourists. , 1996, Annals of emergency medicine.

[7]  D. Trichopoulos,et al.  Adolescents in high-risk trajectory: clustering of risky behavior and the origins of socioeconomic health differentials. , 1997, Preventive medicine.

[8]  R. Snowden,et al.  Speed perception fogs up as visibility drops , 1998, Nature.

[9]  G. Moon,et al.  Problems of providing health care in British island communities. , 2000, Social science & medicine.

[10]  Robert A. Maksimchuk,et al.  UML for Database Design , 2001 .

[11]  V. Anantharaman,et al.  Road traffic accident mortality in Singapore. , 2002, The Journal of emergency medicine.

[12]  L. Vogel,et al.  A relationship between accident types and causes , 2005 .

[13]  Adrian Baddeley,et al.  spatstat: An R Package for Analyzing Spatial Point Patterns , 2005 .

[14]  L. Connelly,et al.  The economic costs of road traffic crashes: Australia, states and territories. , 2006, Accident; analysis and prevention.

[15]  Gábor Csárdi,et al.  The igraph software package for complex network research , 2006 .

[16]  Sokratis Basbas,et al.  A GIS web-based traffic accident information system , 2006 .

[17]  Atsuyuki Okabe,et al.  The SANET Toolbox: New Methods for Network Spatial Analysis , 2006, Trans. GIS.

[18]  Jin-Hyuk Chung,et al.  Analysis of traffic accident size for Korean highway using structural equation models. , 2008, Accident; analysis and prevention.

[19]  Jun Yan,et al.  Kernel Density Estimation of traffic accidents in a network space , 2008, Comput. Environ. Urban Syst..

[20]  Ibrahim Yilmaz,et al.  Geographical information systems aided traffic accident analysis system case study: city of Afyonkarahisar. , 2008, Accident; analysis and prevention.

[21]  Tessa K Anderson,et al.  Kernel density estimation and K-means clustering to profile road accident hotspots. , 2009, Accident; analysis and prevention.

[22]  CADaS-A common road accident data framework in Europe , 2009 .

[23]  S. Erdogan Explorative spatial analysis of traffic accident statistics and road mortality among the provinces of Turkey. , 2009, Journal of safety research.

[24]  C. Binns,et al.  Island Health: Hope and Challenges for Public Health , 2010, Asia-Pacific journal of public health.

[25]  E. von Elm,et al.  Mortality from road traffic accidents in Switzerland: longitudinal and spatial analyses. , 2011, Accident; analysis and prevention.

[26]  V. Prasannakumar,et al.  Spatio-Temporal Clustering of Road Accidents: GIS Based Analysis and Assessment , 2011 .

[27]  F. Fouz,et al.  Management of Traffic Accidents Using Web Services , 2012 .

[28]  Gufran Ahmad Ansari,et al.  Modeling of Traffic Accident Reporting System through UML Using GIS , 2012 .

[29]  Atsuyuki Okabe,et al.  Spatial Analysis Along Networks: Statistical and Computational Methods , 2012 .

[30]  Kurt Hornik,et al.  The Comprehensive R Archive Network , 2012 .

[31]  George Yannis,et al.  Road Safety in Greece , 2012 .

[32]  Ishtiaque Ahmed ROAD INFRASTRUCTURE AND ROAD SAFETY , 2014 .

[33]  John Bigham,et al.  Investigating the associations between road network structure and non-motorist accidents , 2015 .

[34]  S. Kar,et al.  Pattern of Road Traffic Accidents in Bhubaneswar, Odisha , 2016 .

[35]  Mohammed Quddus,et al.  Crash data quality for road safety research: Current state and future directions. , 2017, Accident; analysis and prevention.