Black Spot Determination of Traffic Accident Locations and Its Spatial Association Characteristic Analysis Based on GIS


In general, the location of traffic accidents is described as an address with text, so they are difficult to display on the map. The paper discusses how to utilize the geocoding technology and VRS-GPS positioning technology to record the traffic accidents with Geo-spatial information. Based on the spatial relationship between traffic accidents and road network elements, two-way association relationship is defined by spatial relationship computation. Then the paper presents the method which takes the potential of reducing accidents as an index to extract the black spots. Finally, in the discussion, the association relationship between black spots and traffic attributes is used to analyze the factors that resulting in traffic accidents.

Share and Cite:

H. Chen, "Black Spot Determination of Traffic Accident Locations and Its Spatial Association Characteristic Analysis Based on GIS," Journal of Geographic Information System, Vol. 4 No. 6, 2012, pp. 608-617. doi: 10.4236/jgis.2012.46063.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] H. Y. Zhen and W. Wang, “Research into GIS-Based Urban Traffic Safety Management,” Computer and Communications, Vol. 20, No. 3, 2002, pp. 6-9.
[2] B. Li. “A Component Perspective on Geographic Information Services,” Cartography and Geographic Information Science, Vol. 27, No. 1, 2000, pp. 75-86. doi:10.1559/152304000783548055
[3] Y. Y. Zhao, C. Y. Shang and G. Shang, “Application of Geographical Information System to Highway Management,” Highway, Vol. 9, No. 3, 2001, pp. 89-91.
[4] H. Q. Guo, “Study on Road Traffic Accidents Information Management System for Harbin Based on GIS,” Master’s Thesis, Northeast Forestry University, Harbin, 2007.
[5] Z. Jiang and Q. Li, “Research on the Applications of Geocoding,” Geography and Geo-Information Science, Vol. 19, No. 3, 2003, pp. 22-25.
[6] Q. Hu, J. H. Xu and Z. H. Wang, “Study on the Method of Address Automatically Matching in GIS Database,” Geomatics & Spatial Information Technology, Vol. 31, No. 6, 2008, pp. 50-52.
[7] X. M. Hu, T. Liu, T. H. Zhang, Y. Huang, H. W. Xie and T. Yu, “Highway Black Spot Recognition and Improvement,” Journal of Traffic and Transportation Engineering, Vol. 4, No. 1, 2004, pp. 106-109.
[8] J. B. Hu, “Research on Forming Mechanics and Method for Hazardous Location of Highway,” Doc. Thesis, Beijing Polytechnic University, Beijing, 2005.
[9] L. J. Wang and Y. G. Zhi, “Differentiation and Improvement of Road Accident-Prone Locations,” Journal of Guang Dong Communications Polytechnic, Vol. 5, No. 4, 2006, pp. 26-29.
[10] D. R. D. McGuigan, “The Use of Relationships between Road Accidents and Traffic Flow in ‘Black-Spot’ Identification,” Traffic Engineering and Control, Vol. 22, No. 8-9, 1981, pp. 448-453.
[11] S. Cheng. “Study on Traffic Accident Black Spot Identification Method,” Beijing Jiaotong University, Beijing, 2007.
[12] M. C. Wang, “Analysis of Road Conditions for Affecting Traffic Safety,” Chongqing Jiaotong University, Chongqing, 2008.
[13] L. Huang, “The Identification Method for Traffic Accident Potential Spots,” Dalian Jiaotong University, Dalian, 2009.

Copyright © 2022 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.