Unobserved heterogeneity and the effects of driver nationality on crash injury severities in Saudi Arabia. (September 2020)
- Record Type:
- Journal Article
- Title:
- Unobserved heterogeneity and the effects of driver nationality on crash injury severities in Saudi Arabia. (September 2020)
- Main Title:
- Unobserved heterogeneity and the effects of driver nationality on crash injury severities in Saudi Arabia
- Authors:
- Alogaili, Asim
Mannering, Fred - Abstract:
- Highlights: Differences in crash injuries of Saudi and non-Saudi drivers are studied. Using data from Riyadh, random parameters logit models are estimated. Model estimations show that determinants of injury-severity vary considerably between Saudi and non-Saudi drivers. Findings show different nationalities may affect risk-taking behavior and resulting crash-injury severities. Abstract: This paper investigates factors that significantly contribute to the injury severity of different drivers of different nationality backgrounds. Using the data from Riyadh, Saudi Arabia, a random parameters multinomial logit model of driver-injury severity was estimated to explore the effects of a wide range of variables on driver injury-severity outcomes. With three possible outcomes (no injury, injury, fatality), only single-vehicle crashes are considered and crashes involving domestic (Saudi) and international (non-Saudi) drivers were modeled separately. Model estimation results show that a wide range factors significantly affect the injury severity outcomes in single-vehicle crashes including driver attributes (such as nationality and age), vehicle characteristics (such as make, model and year of manufacture), driver actions (such as speeding and preoccupation on driving), and other factors (such as location and time of the accident); and that the influence that these variables have on injury-severity probabilities vary considerably between Saudi and non-Saudi drivers. While Saudi ArabiaHighlights: Differences in crash injuries of Saudi and non-Saudi drivers are studied. Using data from Riyadh, random parameters logit models are estimated. Model estimations show that determinants of injury-severity vary considerably between Saudi and non-Saudi drivers. Findings show different nationalities may affect risk-taking behavior and resulting crash-injury severities. Abstract: This paper investigates factors that significantly contribute to the injury severity of different drivers of different nationality backgrounds. Using the data from Riyadh, Saudi Arabia, a random parameters multinomial logit model of driver-injury severity was estimated to explore the effects of a wide range of variables on driver injury-severity outcomes. With three possible outcomes (no injury, injury, fatality), only single-vehicle crashes are considered and crashes involving domestic (Saudi) and international (non-Saudi) drivers were modeled separately. Model estimation results show that a wide range factors significantly affect the injury severity outcomes in single-vehicle crashes including driver attributes (such as nationality and age), vehicle characteristics (such as make, model and year of manufacture), driver actions (such as speeding and preoccupation on driving), and other factors (such as location and time of the accident); and that the influence that these variables have on injury-severity probabilities vary considerably between Saudi and non-Saudi drivers. While Saudi Arabia is rather unique because of the large numbers of non-national drivers, the results suggest that different nationalities, with their different cultural, educational and, behavioral backgrounds, may affect risk-taking behavior and resulting crash-injury severities. … (more)
- Is Part Of:
- Accident analysis and prevention. Volume 144(2020)
- Journal:
- Accident analysis and prevention
- Issue:
- Volume 144(2020)
- Issue Display:
- Volume 144, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 144
- Issue:
- 2020
- Issue Sort Value:
- 2020-0144-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-09
- Subjects:
- random parameters logit -- crash injury severity -- Saudi Arabia -- nationality influences
Accidents -- Prevention -- Periodicals
Accident Prevention -- Periodicals
Accidents -- Prévention -- Périodiques
363.106 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00014575 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.aap.2020.105618 ↗
- Languages:
- English
- ISSNs:
- 0001-4575
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0573.130000
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