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Safety classification using GIS in decision-making process to define priority road interventions

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  • Rodrigues, Daniel Souto
  • Ribeiro, Paulo Jorge Gomes
  • da Silva Nogueira, Isabel Cristina

Abstract

Given the current economic situation of the Portuguese municipalities, it is necessary to identify the priority investments in order to achieve a more efficient financial management. The classification of the road network of the municipality according to the occurrence of traffic accidents is fundamental to set priorities for road interventions. This paper presents a model for road network classification based on traffic accidents integrated in a geographic information system. Its practical application was developed through a case study in the municipality of Barcelos. An equation was defined to obtain a road safety index through the combination of the following indicators: severity, property damage only and accident costs. In addition to the road network classification, the application of the model allows to analyze the spatial coverage of accidents in order to determine the centrality and dispersion of the locations with the highest incidence of road accidents. This analysis can be further refined according to the nature of the accidents namely in collision, runoff and pedestrian crashes.

Suggested Citation

  • Rodrigues, Daniel Souto & Ribeiro, Paulo Jorge Gomes & da Silva Nogueira, Isabel Cristina, 2015. "Safety classification using GIS in decision-making process to define priority road interventions," Journal of Transport Geography, Elsevier, vol. 43(C), pages 101-110.
    • Handle: RePEc:eee:jotrge:v:43:y:2015:i:c:p:101-110
    DOI: 10.1016/j.jtrangeo.2015.01.007
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    References listed on IDEAS

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    Cited by:

    1. Xu Sun & Hanxiao Hu & Shuo Ma & Kun Lin & Jianyu Wang & Huapu Lu, 2022. "Study on the Impact of Road Traffic Accident Duration Based on Statistical Analysis and Spatial Distribution Characteristics: An Empirical Analysis of Houston," Sustainability, MDPI, vol. 14(22), pages 1-14, November.
    2. Tomaschek, Jan & Kober, Ralf & Fahl, Ulrich & Lozynskyy, Yuriy, 2016. "Energy system modelling and GIS to build an Integrated Climate Protection Concept for Gauteng Province, South Africa," Energy Policy, Elsevier, vol. 88(C), pages 445-455.

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