Comparison of contributing factors for injury severity of large truck drivers in run-off-road crashes on rural and urban roadways: Accounting for unobserved heterogeneity
In spite of numerous efforts to quantitatively identify the factors contributing to the injury severity of different crash types in rural and urban settings, the distinction between rural and urban areas regarding the injury severity of run-off-road (ROR) crashes involving large trucks is still not...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2020-06-01
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| Series: | International Journal of Transportation Science and Technology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S204604302030006X |
| _version_ | 1797726252530925568 |
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| author | Nabeel Saleem Saad Al-Bdairi Salvador Hernandez |
| author_facet | Nabeel Saleem Saad Al-Bdairi Salvador Hernandez |
| author_sort | Nabeel Saleem Saad Al-Bdairi |
| collection | DOAJ |
| description | In spite of numerous efforts to quantitatively identify the factors contributing to the injury severity of different crash types in rural and urban settings, the distinction between rural and urban areas regarding the injury severity of run-off-road (ROR) crashes involving large trucks is still not clearly understood. As such, the objective of this study is to investigate the effect of area type (i.e., urban vs. rural) on injury severity outcomes sustained by drivers in ROR crashes involving large trucks while accounting for unobserved heterogeneity. To do this, the latent class ordered probit models with two classes are developed. The crash data pertaining to ROR crashes involving large trucks in Oregon between 2007 and 2014 were utilized. The estimation results reveal that the developed latent class ordered probit models (for urban and rural areas) are substantially distinct in terms of the contributing factors affect urban and rural ROR crash severities. The results indicate that female drivers and speed limit of 55 mph were associated with moderate injuries (non-incapacitating) in rural roadway ROR crashes while no injury outcome is most likely for crashes occurred in urban roadways with raised medians and on areas with a population density between 10,001 and 25,000. Also, the findings show that some factors increase the risk propensity of sustaining higher injury levels regardless of the land use setting such as crashes on horizontal curves, not wearing seatbelt, and driver fatigue. The findings of this study could benefit trucking industry, transportation agencies, and safety practitioners to prevent or alleviate the injury severity of ROR crashes involving large trucks by developing appropriate and cost-effective countermeasures. |
| first_indexed | 2024-03-12T10:43:00Z |
| format | Article |
| id | doaj.art-c91c16176f3c46b38aaa33a4f3f60ad5 |
| institution | Directory Open Access Journal |
| issn | 2046-0430 |
| language | English |
| last_indexed | 2024-03-12T10:43:00Z |
| publishDate | 2020-06-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | International Journal of Transportation Science and Technology |
| spelling | doaj.art-c91c16176f3c46b38aaa33a4f3f60ad52023-09-02T07:56:12ZengKeAi Communications Co., Ltd.International Journal of Transportation Science and Technology2046-04302020-06-0192116127Comparison of contributing factors for injury severity of large truck drivers in run-off-road crashes on rural and urban roadways: Accounting for unobserved heterogeneityNabeel Saleem Saad Al-Bdairi0Salvador Hernandez1College of Engineering, Civil Engineering Department, University of Wasit, Kut, Iraq; Corresponding author.Oregon State University, School of Civil and Construction Engineering, Corvallis, OR 97331, United StatesIn spite of numerous efforts to quantitatively identify the factors contributing to the injury severity of different crash types in rural and urban settings, the distinction between rural and urban areas regarding the injury severity of run-off-road (ROR) crashes involving large trucks is still not clearly understood. As such, the objective of this study is to investigate the effect of area type (i.e., urban vs. rural) on injury severity outcomes sustained by drivers in ROR crashes involving large trucks while accounting for unobserved heterogeneity. To do this, the latent class ordered probit models with two classes are developed. The crash data pertaining to ROR crashes involving large trucks in Oregon between 2007 and 2014 were utilized. The estimation results reveal that the developed latent class ordered probit models (for urban and rural areas) are substantially distinct in terms of the contributing factors affect urban and rural ROR crash severities. The results indicate that female drivers and speed limit of 55 mph were associated with moderate injuries (non-incapacitating) in rural roadway ROR crashes while no injury outcome is most likely for crashes occurred in urban roadways with raised medians and on areas with a population density between 10,001 and 25,000. Also, the findings show that some factors increase the risk propensity of sustaining higher injury levels regardless of the land use setting such as crashes on horizontal curves, not wearing seatbelt, and driver fatigue. The findings of this study could benefit trucking industry, transportation agencies, and safety practitioners to prevent or alleviate the injury severity of ROR crashes involving large trucks by developing appropriate and cost-effective countermeasures.http://www.sciencedirect.com/science/article/pii/S204604302030006XInjury severityUnobserved heterogeneityLatent class ordered probit modelLarge trucksRun-off-road |
| spellingShingle | Nabeel Saleem Saad Al-Bdairi Salvador Hernandez Comparison of contributing factors for injury severity of large truck drivers in run-off-road crashes on rural and urban roadways: Accounting for unobserved heterogeneity International Journal of Transportation Science and Technology Injury severity Unobserved heterogeneity Latent class ordered probit model Large trucks Run-off-road |
| title | Comparison of contributing factors for injury severity of large truck drivers in run-off-road crashes on rural and urban roadways: Accounting for unobserved heterogeneity |
| title_full | Comparison of contributing factors for injury severity of large truck drivers in run-off-road crashes on rural and urban roadways: Accounting for unobserved heterogeneity |
| title_fullStr | Comparison of contributing factors for injury severity of large truck drivers in run-off-road crashes on rural and urban roadways: Accounting for unobserved heterogeneity |
| title_full_unstemmed | Comparison of contributing factors for injury severity of large truck drivers in run-off-road crashes on rural and urban roadways: Accounting for unobserved heterogeneity |
| title_short | Comparison of contributing factors for injury severity of large truck drivers in run-off-road crashes on rural and urban roadways: Accounting for unobserved heterogeneity |
| title_sort | comparison of contributing factors for injury severity of large truck drivers in run off road crashes on rural and urban roadways accounting for unobserved heterogeneity |
| topic | Injury severity Unobserved heterogeneity Latent class ordered probit model Large trucks Run-off-road |
| url | http://www.sciencedirect.com/science/article/pii/S204604302030006X |
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