Freeway Work-Zone Crash Analysis and Risk Identification Using Multiple and Conditional Logistic Regression

Harb, Rami; Radwan, Essam; Yan, Xuedong; Pande, Anurag; Abdel-Aty, Mohamed

doi:10.1061/(asce)0733-947x(2008)134:5(203)

Cited by 113 publications

(73 citation statements)

References 17 publications

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“…Hazards in work zones have typically been studied through analyses of historical crash data to identify the factors contributing to the frequency of work zone crashes (Chen and Tarko, 2012;Daniel et al, 2000;Harb et al, 2008;Khattak et al, 2002;Khattak and Targa, 2004;Qi et al, 2013;Venugopal and Tarko, 2000) and their injury severity (Khattak et al, 2002;Khattak and Targa, 2004;Li and Bai, 2008b;Qi et al, 2013). However, the crash data-based approach is often hampered by the lack of detail in official datasets (Chen and Tarko, 2014;Cheng et al, 2012) and the likelihood of under-reporting of work zone crashes (Debnath et al, 2013;Schrock et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

Common hazards and their mitigating measures in work zones: A qualitative study of worker perceptions

2015

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Road construction and maintenance activities present challenges for ensuring the safety of workers and the traveling public alike. Hazards in work zones are typically studied using historical crash records but the current study took a qualitative approach by interviewing 66 workers from various work zones in Queensland, Australia. This supplemented and enhanced the limited available data regarding the frequency and nature of work zone crashes in Australia, provided worker insights into contributing factors, and assessed their opinions on the likely effectiveness of current or future approaches to hazard mitigation. Workers may not be aware of objective data regarding effectiveness, but their attitudes and consequent levels of compliance can influence both the likelihood of implementation and the outcomes of safety measures. Despite the potential importance of worker perceptions, they have not been studied comprehensively to date, and thus this study fills a significant gap in the literature. Excessive vehicle speeds, driver distraction and aggression towards roadworkers, working in wet weather, at night and close to traffic stream were among the most common hazards noted by workers. The safety measures perceived to be most effective included police presence, active enforcement, and improving driver awareness and education about work zones. Worker perceptions differed according to their level of exposure to hazards.

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Section: Introductionmentioning

confidence: 99%

Common hazards and their mitigating measures in work zones: A qualitative study of worker perceptions

2015

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“…Lindly et al (2000) examined the types of vehicle crashes involved in work zone crashes across Alabama, Michigan, and Tennessee from 1994-1997 and found that in each state the proportion of crashes in work zones involving trucks increased for all types of trucks as compared to the proportion of crashes in non-work zones. However, for both studies (Harb et al, 2008;Lindly et al, 2000), work zone related crashes for passenger cars and light trucks composed the largest majority (64%-93%) of all crashes while truck related crashes ranged from 8%-14% for work zones and 4%-7% for non-work zones. Daniel et al (2000) examined the effect of work zones on truck crash severity levels.…”

Section: Crash Location Within Work Zonementioning

confidence: 96%

“…Both Harb et al (2008) and Bai and Li (2006; found that the largest proportion of work zone crashes occurred on straight and level roadway segments. The second largest crash proportion was experienced on straight upgrade/downgrade segments while curved segments experienced the smallest proportion of crashes.…”

Section: Roadway Characteristics and Geometrymentioning

confidence: 99%

“…Therefore, unless normalized by length, activity area crashes are probably overrepresented in many studies' analyses. Hughes et al (1999), Harb et al (2008), and Lindly et al (2000), found differing results while examining work zones' influence on truck crash frequency. Hughes et al (1999) found that work zone crashes involving trucks comprised 1-4% of total truck crashes in North Carolina during 1993-1997.…”

Section: Crash Location Within Work Zonementioning

confidence: 99%

“…Further, while Interstates account for only 20-21 percent of the total number of fatal large truck involved crashes, two thirds of all fatal truck-involved crashes, which occurred in work zones, occurred on Interstates. Harb et al (2008) studied work zone related crashes in Florida between [2002][2003][2004] and concluded that trucks and large trucks are 44.6% more likely to be involved in a work-zone single-vehicle crash compared to non-work-zone locations. Lindly et al (2000) examined the types of vehicle crashes involved in work zone crashes across Alabama, Michigan, and Tennessee from 1994-1997 and found that in each state the proportion of crashes in work zones involving trucks increased for all types of trucks as compared to the proportion of crashes in non-work zones.…”

Section: Crash Location Within Work Zonementioning

confidence: 99%

See 2 more Smart Citations

Exploration of Work Zone Crash Causes and Implications for Safety Performance Measurement Programs

Clark

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Rear‐end crash potential estimation in the work zone merging areas

Weng

Meng

2012

J of Advced Transportation

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This paper proposed a methodology to estimate rear-end crash potential of the merging vehicles traveling in the merge lane, on the basis of the traffic data extracting from the available videotapes. First, we developed a binary logit model to identify drivers' merging behavior in the work zone merging area. Subsequently, the occurrence potential of rear-end crash based on time-to-collision was computed between the merging vehicle and its neighboring vehicles. The overall crash potential of the merging vehicle was finally determined. It was found that the crash potential decreases with the remaining distance to work zone. Moreover, there will be a rear-end crash potential of 4.0% if the merging vehicle fails to complete merging at the end of work zone merging area. If the merging vehicle takes an early merge, there will be a lower rear-end crash potential (1.2%). These findings suggest that we should encourage merging vehicles to take early merges for improving the traffic safety in the work zone merging areas.Note: Odds ratio (OR) is calculated by changing one unit of one variable at a time while controlling for the other variables, where OR = exp (b). For example, one unit increase of v k À 1 will raise the merging probability to be 3.016 (=exp (1.104 Â 1)) times. AIC, Akaike information criterion; SC, Schwarz criterion. 244 J. WENG AND Q. MENG

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Freeway Work-Zone Crash Analysis and Risk Identification Using Multiple and Conditional Logistic Regression

Cited by 113 publications

References 17 publications

Common hazards and their mitigating measures in work zones: A qualitative study of worker perceptions

Common hazards and their mitigating measures in work zones: A qualitative study of worker perceptions

Exploration of Work Zone Crash Causes and Implications for Safety Performance Measurement Programs

Rear‐end crash potential estimation in the work zone merging areas

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