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- W572176816 abstract "The review of incident data covering freeways in Tennessee shows that approximately 2% of incidents each year are the result of unscheduled roadworks. While the public is always informed about the scheduled roadworks, most of unscheduled roadworks are initially unknown to the road users in general. The impact of unscheduled roadworks to traffic operations and safety are currently not well documented in the literature. While the literature review found many studies related to work zones, very few are focused specifically on unscheduled roadwork incidents. The objective of this study was therefore, to evaluate and compare the impact of unscheduled and scheduled roadworks to the length of incident durations. Both descriptive statistics and statistical modeling utilizing Generalized Ordered Logit Model (GOLM) and Multinomial Logit Model (MNL) were used. The GOLM model was used due to its less restrictive ability in estimation compared to parallel line models like ordinary ordered logit since it does not ignore the category ordering unlike MNL. Among the factors found to impact the incident durations significantly include, number of lanes closed, the type of lane closed, vehicle involvement, queue formation, means of incident notification, day of the week and the time of the day. There were slight variations in the magnitude of variable coefficients between scheduled and unscheduled models but with relatively same signs among these two. Comparing GOLM and MNL, signs of most variable coefficients were almost identical between the models but with different interpretations." @default.
- W572176816 created "2016-06-24" @default.
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- W572176816 date "2013-01-01" @default.
- W572176816 modified "2023-09-26" @default.
- W572176816 title "Paralleling Influence of Unscheduled and Scheduled Roadwork Characteristics on Traffic Incident Durations" @default.
- W572176816 hasPublicationYear "2013" @default.
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