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The interurban DRAG-Spain model: The main factors of influence on road accidents in Spain

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  • Aparicio Izquierdo, Francisco
  • Arenas Ramírez, Blanca
  • Bernardos Rodríguez, Eva

Abstract

This paper presents the results of applying DRAG methodology to the identification of the main factors of influence on the number of injury and fatal accidents occurring on Spain’s interurban network. Nineteen independent variables have been included in the model grouped together under ten categories: exposure, infrastructure, weather, drivers, economic variables, vehicle stock, surveillance, speed and legislative measures. Highly interesting conclusions can be reached from the results on the basis of the different effects of a single variable on each of the accident types according to severity. The greatest influence revealed by the results is exposure, which together with inexperienced drivers, speed and an ageing vehicle stock, have a negative effect, while the increased surveillance on roads, the improvement in the technological features of vehicles and the proportion of high capacity networks have a positive effect, since the results obtained show a significant drop in accidents.

Suggested Citation

  • Aparicio Izquierdo, Francisco & Arenas Ramírez, Blanca & Bernardos Rodríguez, Eva, 2013. "The interurban DRAG-Spain model: The main factors of influence on road accidents in Spain," Research in Transportation Economics, Elsevier, vol. 37(1), pages 57-65.
    • Handle: RePEc:eee:retrec:v:37:y:2013:i:1:p:57-65
    DOI: 10.1016/j.retrec.2011.08.011
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    References listed on IDEAS

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    1. John D. Graham & Steven Garber, 1984. "Evaluating the effects of automobile safety regulation," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 3(2), pages 206-224.
    2. Gaudry, M., 1984. "Drag, un Modele de la Demande Routiere, des Accidents et de Leur Gravite, Applique au Quebec de 1956 a 1982," Cahiers de recherche 8432, Universite de Montreal, Departement de sciences economiques.
    3. Garcia-Ferrer, A. & de Juan, A. & Poncela, P., 2006. "Forecasting traffic accidents using disaggregated data," International Journal of Forecasting, Elsevier, vol. 22(2), pages 203-222.
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    1. Castillo-Manzano, José I. & Castro-Nuño, Mercedes & López-Valpuesta, Lourdes & Pedregal, Diego J., 2019. "From legislation to compliance: The power of traffic law enforcement for the case study of Spain," Transport Policy, Elsevier, vol. 75(C), pages 1-9.

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