Mixed logit analysis of bicyclist injury severity resulting from motor vehicle crashes at intersection and non-intersection locations

Moore, Darren N.; Schneider, William H.; Savolainen, Peter T.; Farzaneh, Mohamadreza

doi:10.1016/j.aap.2010.09.015

Cited by 226 publications

(139 citation statements)

References 32 publications

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“…Further, these unobserved heterogeneity effects are not simply esoteric econometric enhancements, but can have very real implications for accurately assessing the overall effects of variables and to design countermeasures to reduce injury severity. This realization has resulted in many more studies in the past five years or so that consider unobserved heterogeneity effects in injury severity models (see Eluru and Bhat, 2007, Christoforou et al, 2010, Milton et al, 2008, Anastasopoulos and Mannering, 2011, Chen and Chen, 2011, and Moore et al, 2011.…”

Section: Unobserved Heterogeneity In the Effects Of Variablesmentioning

confidence: 99%

“…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%

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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: Unobserved Heterogeneity In the Effects Of Variablesmentioning

confidence: 99%

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

View full text Add to dashboard Cite

show abstract

“…In particular, when present, these unobserved heterogeneity effects can have very real implications for the accurate assessment of the effects of variables and for the design of countermeasures to reduce injury severity. This realization has resulted in many more studies in the past five years or so that consider unobserved heterogeneity effects, including in SOR structures (see Srinivasan, 2002, Eluru and Bhat, 2007, and Christoforou et al, 2010, in UR structures (see Milton et al, 2008, Anastasopoulos and Mannering, 2011, Chen and Chen, 2011, and Moore et al, 2011, and in GOR structures (see Eluru et al, 2008). 2 The GOR structure discussed here is quite different from other generalizations of the ordered structure used in Quddus et al (2010) and Wang et al (2011).…”

Section: Unobserved Heterogeneity In the Effects Of Variablesmentioning

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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“…Some researchers have analyzed both intersections and road segments (Erdogan et al, 2008;Castro et al, 2012;Ma et al, 2014). However, Moore et al (2011) mentioned that intersections and roads were not analyzed together, because factors related to the accidents that occurred at junctions were different from factors on the road segment.…”

Section: Scope Of the Studymentioning

confidence: 99%

Gis Tools for Analyzing Accidents and Road Design: A Review

Satria

2016

Libro De Actas CIT2016. XII Congreso De Ingeniería Del Transporte

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A significant unexpected outcome of transportation systems is road accidents with injuries and loss of lives. In recent years, the number of studies about the tools for analyzing accidents and road design has increased considerably. Among these tools, Geographical Information Systems (GIS) stand out for their ability to perform complex spatial analyses. However, sometimes the GIS, has been used only as a geographical database to store and represent data about accidents and road characteristics. It has also been used to represent the results of statistical studies of accidents but, these statistical studies have not been carried out with GIS. Owing to its integrated statistical-analysis capabilities GIS provides several advantages. First, it allows a more careful and accurate data selection, screening and reduction. Also, it allows a spatial analysis of the results in pre and post-processing. Second, GIS allows the development of spatial statistics that rely on geographically-referenced data. In this paper, several GIS tools used to model accidents have been examined. The understanding of these tools will help the analyst to make a better decision about which tool could be applied in each particular condition and context.

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Mixed logit analysis of bicyclist injury severity resulting from motor vehicle crashes at intersection and non-intersection locations

Cited by 226 publications

References 32 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

Gis Tools for Analyzing Accidents and Road Design: A Review

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