Effect of street pattern on the severity of crashes involving vulnerable road users

Rifaat, Shakil Mohammad; Tay, Richard; Barros, Alexandre de

doi:10.1016/j.aap.2010.08.024

Cited by 151 publications

(71 citation statements)

References 48 publications

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“…Many earlier injury severity studies have used such a specification to appropriately recognize the ordinal nature of the injury severity levels (see, for example, Xie et al, 2009, Christoforou et al, 2010, Haleem and Abdel-Aty, 2010, Quddus et al, 2010, Jung et al, 2010, Zhu and Srinivasan, 2011. In recent years, unordered-response specifications have also been considered (see, for example, Rifaat et al, 2011, Yan et al, 2011, Malyshkina and Mannering, 2009, Huang et al, 2008, Milton et al, 2008, Kim et al, 2010, and Moore et al, 2011. These unordered-response specifications, while not recognizing the ordinal nature of injury severity levels, provide additional flexibility in capturing variable effects and are also less vulnerable to parameter inconsistency problems caused by varying under-reporting rates (across injury severity levels) in the data (see Ye and Lord, 2011).…”

Section: Current Study In Contextmentioning

confidence: 99%

The joint analysis of injury severity of drivers in two-vehicle crashes accommodating seat belt use endogeneity

Abay

Paleti

Bhat

2013

Transportation Research Part B: Methodological

113

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The current study contributes to the existing injury severity modeling literature by developing a multivariate probit model of injury severity and seat belt use decisions of both drivers involved in two-vehicle crashes. The modeling approach enables the joint modeling of the injury severity of multiple individuals involved in a crash, while also recognizing the endogeneity of seat belt use in predicting injury severity levels as well as accommodating unobserved heterogeneity in the effects of variables. The proposed model is applied to analyze the injury severity of drivers involved in two-vehicle road crashes in Denmark.The empirical analysis provides strong support for the notion that people offset the restraint benefits of seat belt use by driving more aggressively. Also, men and those individuals driving heavy vehicles have a lower injury risk than women and those driving lighter vehicles, respectively. At the same time, men and individuals driving heavy vehicles pose more of a danger to other drivers on the roadway when involved in a crash. Other important determinants of injury severity include speed limit on roadways where crash occurs, the presence (or absence) of center dividers (median barriers), and whether the crash involves a head-on collision. These and other results are discussed, along with implications for countermeasures to reduce injury severities in crashes. The analysis also underscores the importance of considering injury severity at a crash level, while accommodating seat belt endogeneity effects and unobserved heterogeneity effects.

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Section: Current Study In Contextmentioning

confidence: 99%

The joint analysis of injury severity of drivers in two-vehicle crashes accommodating seat belt use endogeneity

Abay

Paleti

Bhat

2013

Transportation Research Part B: Methodological

113

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show abstract

“…Another structure that has seen substantial use in injury severity analysis is the unordered-response (UR) model structure, including the multinomial logit model or the sequential binary choice model (see Shankar and Mannering, 1996, Ulfarsson and Mannering, 2004, Khorashadi et al, 2005, Rifaat et al, 2011, and Yan et al, 2011, the Markov switching multinomial logit model (Malyshkina and Mannering, 2009), and the nested logit model (Savolainen and Mannering, 2007, Huang et al, 2008, Hu and Donnell, 2010, Patil et al, 2012). …”

Section: Injury Severity Analysis: An Overviewmentioning

confidence: 99%

A spatial generalized ordered response model to examine highway crash injury severity

Castro

Paleti

Bhat

2013

Accident Analysis & Prevention

112

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This paper proposes a flexible econometric structure for injury severity analysis at the level of individual crashes that recognizes the ordinal nature of injury severity categories, allows unobserved heterogeneity in the effects of contributing factors, as well as accommodates spatial dependencies in the injury severity levels experienced in crashes that occur close to one another in space. The modeling framework is applied to analyze the injury severity sustained in crashes occurring on highway road segments in Austin, Texas. The sample is drawn from the Texas Department of Transportation (TxDOT) crash incident files from 2009 and includes a variety of crash characteristics, highway design attributes, driver and vehicle characteristics, and environmental factors. The results from our analysis underscore the value of our proposed model for data fit purposes as well as to accurately estimate variable effects. The most important determinants of injury severity on highways, according to our results, are (1) whether any vehicle occupant is ejected, (2) whether collision type is head-on, (3) whether any vehicle involved in the crash overturned, (4) whether any vehicle occupant is unrestrained by a seat-belt, and (5) whether a commercial truck is involved.

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“…Multinomial Logit , Carson and Mannering (2001), Abdel-Aty and Abdelwahab (2004), Ulfarsson and Mannering (2004), Khorashadi et al (2005), Islam and Mannering (2006), Kim et al (2007), Malyshkina and Mannering (2008), Savolainen and Ghosh (2008), Schneider et al (2009), Malyshkina and, Rifaat et al (2011), Ye and Lord (2011a, b), Schneider and Savolainen (forthcoming) (Continued)…”

mentioning

confidence: 99%

The statistical analysis of highway crash-injury severities: A review and assessment of methodological alternatives

Savolainen

Mannering

Lord

et al. 2011

Accident Analysis & Prevention

820

344

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Effect of street pattern on the severity of crashes involving vulnerable road users

Cited by 151 publications

References 48 publications

The joint analysis of injury severity of drivers in two-vehicle crashes accommodating seat belt use endogeneity

The joint analysis of injury severity of drivers in two-vehicle crashes accommodating seat belt use endogeneity

A spatial generalized ordered response model to examine highway crash injury severity

The statistical analysis of highway crash-injury severities: A review and assessment of methodological alternatives

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