Highlights The paper develops improved crash frequency models for work zone safety analysis. Measurement errors in work zone length have been carefully studied and addressed. The paper examines more potential casual factors using detailed work zone project data. Enhanced models provide better understanding of casual factors of work zone crashes.

    Abstract Work zones are temporary traffic control zones that can potentially cause safety problems. Maintaining safety, while implementing necessary changes on roadways, is an important challenge traffic engineers and researchers have to confront. In this study, the risk factors in work zone safety evaluation were identified through the estimation of a crash frequency (CF) model. Measurement errors in explanatory variables of a CF model can lead to unreliable estimates of certain parameters. Among these, work zone length raises a major concern in this analysis because it may change as the construction schedule progresses generally without being properly documented. This paper proposes an improved modeling and estimation approach that involves the use of a measurement error (ME) model integrated with the traditional negative binomial (NB) model. The proposed approach was compared with the traditional NB approach. Both models were estimated using a large dataset that consists of 60 work zones in New Jersey. Results showed that the proposed improved approach outperformed the traditional approach in terms of goodness-of-fit statistics. Moreover it is shown that the use of the traditional NB approach in this context can lead to the overestimation of the effect of work zone length on the crash occurrence.


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    Titel :

    Modeling work zone crash frequency by quantifying measurement errors in work zone length


    Beteiligte:
    Yang, Hong (Autor:in) / Ozbay, Kaan (Autor:in) / Ozturk, Ozgur (Autor:in) / Yildirimoglu, Mehmet (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2013-02-15


    Format / Umfang :

    10 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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