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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2011  >  11(4): 97-102
LOO B P Y, YAO Shen-jun, WU Jian-ping, YU Bo-lang, ZHONG Hai-dong. Identification method of road hot zone based on GIS[J]. Journal of Traffic and Transportation Engineering, 2011, 11(4): 97-102. doi: 10.19818/j.cnki.1671-1637.2011.04.015
Citation: LOO B P Y, YAO Shen-jun, WU Jian-ping, YU Bo-lang, ZHONG Hai-dong. Identification method of road hot zone based on GIS[J]. Journal of Traffic and Transportation Engineering, 2011, 11(4): 97-102. doi: 10.19818/j.cnki.1671-1637.2011.04.015
shu

Identification method of road hot zone based on GIS

doi: 10.19818/j.cnki.1671-1637.2011.04.015
  • 1.

    Department of Geography, The University of Hong Kong, Hong Kong, China

  • 2.

    Key Laboratory of Geographic Information Science of Ministry of Education, East China Normal University, Shanghai 200062, China

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  • Author Bio:

    LOO B P Y(1970-), female, professor, PhD, +852-28597024, bpyloo@hku.hk

  • Received Date: 2011-03-18
  • Publish Date: 2011-08-25
    Abstract
  • Based on GIS and the basic model of hot zone, the identification method of road hot zone was studied. Road networks were merged by following a priority sequence, and the basic spatial units (BSU) of road were obtained. The spatial distribution of traffic accidents was simulated, and the threshold value of traffic accident for each BSU was defined by using Monte Carlo method. The spatial contiguities of BSUs were examined to obtain hot zones, and the hot zones around Shanghai Expo Venue were identified. Analysis result shows that the share of irregular BSUs decreases from 41.5% to 14.8% after merging road networks. There are 84 hot zones involving only vehicles and 33 hot zones involving pedestrians, which accords with the real situation. So the method can effectively identify road hazardous locations.

     

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