Enhancing road traffic safety : a GIS based methodology to identify potential areas of improvement.
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Enhancing road traffic safety : a GIS based methodology to identify potential areas of improvement.

Filetype[PDF-3.60 MB]


  • English

  • Details:

    • Resource Type:
    • Geographical Coverage:
    • OCLC Number:
      681772058
    • Corporate Publisher:
    • NTL Classification:
      NTL-GEOGRAPHIC INFORMATION SYSTEMS-GEOGRAPHIC INFORMATION SYSTEMS ; NTL-SAFETY AND SECURITY-Accidents ; NTL-SAFETY AND SECURITY-SAFETY AND SECURITY ;
    • Abstract:
      It is well known that the major goal of the transportation system is to enhance

      mobility and crashes are unwanted by-products which have to be minimized

      while achieving the primary goal. Although general people value travel time more

      than any other outcomes of transportation system, traffic accidents impose huge

      economic burden on the society. A detail investigation of the State of California

      crash statistics showed overrepresentation of fatal, injury, alcohol related crashes,

      road departure crashes, speeding related crashes in Inland Empire and identified

      as one of the major transportation issues affecting this region. This seed-grant

      proposal aimed to investigate the reason behind the high crash statistics in

      Inland Empire by developing methodologies to identify crash hotspots and

      detecting the potential areas of safety improvements using Geographic

      Information System (GIS). However, significant challenges were faced during the

      research to obtain relevant crash data from Caltrans district 8. Hence the GIS

      based methodology was developed using data from another real city in the

      United States. The result of this study showed that spatial dependence plays a

      strong role in the analysis of road traffic injury crashes. These spatial

      dependences, accounted through the spatial autocorrelation helped detecting

      statistically significant clusters of fatal, severe and minor injury as well as

      pedestrian crashes. These clusters are overlaid with socioeconomic and road

      network layers to investigate if certain spatial, socioeconomic and traffic related

      factors are present near statistically significant crash clusters. Once this

      reconnaissance is completed, a more detailed site investigation is easier to find

      the contributory factors for fatal, injury and pedestrian crash occurrences.

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