Highlights Traffic accidents involving wild boar or roe deer are not random in time or space. Spatial collision patterns were mapped at the province level in Lugo (NW Spain). Temporal collision patterns were detailed at seasonal, weekly and daily scales. Rut, birth, sunrise and sunset mainly govern the temporality of these events. Accident clusters were mapped along 41 daily and seasonal periods.

    Abstract Ungulate–vehicle collisions pose a serious traffic safety hazard in the North of Spain. The understanding of underlying temporal and spatial structure of these non-random events is imperative to develop appropriate mitigation measures. This study analyses the temporal, spatial and spatiotemporal patterns of car crashes involving wild boar and roe deer in the province of Lugo (NW Spain) in the period 2006–2010 using geographic information systems (GIS) and spatial statistics. The temporal analysis – conducted at three scales: daily, weekly and seasonal – revealed that accidents are related to specific animal's life cycles and to interactions with human activities. The localization of collision points with GIS discovered the sections of the autonomic road network where accidents with the two studied species concentrate. Besides, the spatial arrangement of significant hotspots was mapped through kernel density estimation over two time scales (daily and seasonal), distinguishing among 41 sets, sequentially arranged to facilitate clustering comparison and determination of spatiotemporal risky areas. This work is of valuable help for road managers to design the appropriate mitigation measures that will improve traffic safety and animal welfare.


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    Titel :

    Spatiotemporal analysis of vehicle collisions involving wild boar and roe deer in NW Spain



    Erschienen in:

    Erscheinungsdatum :

    2013-07-23


    Format / Umfang :

    13 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch







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