Highlights A conceptual framework for multilevel (ML) analysis in road safety research is proposed. The objectives, properties and assumptions of ML models are discussed. A literature review of ML analyses in road safety research is carried out. The potential difficulties in applying ML models are discussed in relation to their added value.

    Abstract Hierarchical structures in road safety data are receiving increasing attention in the literature and multilevel (ML) models are proposed for appropriately handling the resulting dependences among the observations. However, so far no empirical synthesis exists of the actual added value of ML modelling techniques as compared to other modelling approaches. This paper summarizes the statistical and conceptual background and motivations for multilevel analyses in road safety research. It then provides a review of several ML analyses applied to aggregate and disaggregate (accident) data. In each case, the relevance of ML modelling techniques is assessed by examining whether ML model formulations (i) allow improving the fit of the model to the data, (ii) allow identifying and explaining random variation at specific levels of the hierarchy considered, and (iii) yield different (more correct) conclusions than single-level model formulations with respect to the significance of the parameter estimates. The evidence reviewed offers different conclusions depending on whether the analysis concerns aggregate data or disaggregate data. In the first case, the application of ML analysis techniques appears straightforward and relevant. The studies based on disaggregate accident data, on the other hand, offer mixed findings: computational problems can be encountered, and ML applications are not systematically necessary. The general recommendation concerning disaggregate accident data is to proceed to a preliminary investigation of the necessity of ML analyses and of the additional information to be expected from their application.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Multilevel analysis in road safety research


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    2013-04-29


    Format / Umfang :

    10 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Multilevel analysis in road safety research

    Dupont, Emmanuelle | Online Contents | 2013


    Road Safety Research

    Sarkodie, S.A. | British Library Conference Proceedings | 2005


    European trends in road safety and road safety research

    Joergensen,N.O. | Kraftfahrwesen | 1988


    Research on road safety

    Road Research Laboratory | SLUB | 1963


    Research on road safety

    Department of Scientific Research | TIBKAT | 1963