Determinants of bicyclist injury severities in bicycle-vehicle crashes: A random parameters approach with heterogeneity in means and variances. (December 2017)
- Record Type:
- Journal Article
- Title:
- Determinants of bicyclist injury severities in bicycle-vehicle crashes: A random parameters approach with heterogeneity in means and variances. (December 2017)
- Main Title:
- Determinants of bicyclist injury severities in bicycle-vehicle crashes: A random parameters approach with heterogeneity in means and variances
- Authors:
- Behnood, Ali
Mannering, Fred - Abstract:
- Highlights: Contribution factors on bicyclist-injury severities are studied. A random parameters logit model with heterogeneity in parameter means and variances is used. A wide range of variables that increase the likelihood of severe injuries in bicycle-motorized vehicle crashes are reported. Accounting for possible heterogeneity in means and variances of the random parameters improves overall model fit. Abstract: This paper investigates risk factors that significantly contribute to the injury severity of bicyclists in bicycle/motor-vehicle crashes while systematically accounting for unobserved heterogeneity within the crash data. Using the data from Los Angeles over a seven-year period (January 1, 2010 to December 31, 2016) a random parameters multinomial logit model of bicyclist-injury severity, with heterogeneity in parameter means and variances, is estimated to explore the effects of a wide range of variables on bicyclist injury-severity outcomes. Model estimation results show that many factors potentially affect the likelihood of severe injuries in bicycle/motor-vehicle crashes including bicyclist and driver race and gender, alcohol-impaired bicyclists or drivers, older bicyclists, riding or driving on the wrong side of road, drivers' unsafe speeding, bicyclist not wearing helmet, and so on. The findings of this research point toward the need to further study the contributing factors on the bicyclist injury severities.
- Is Part Of:
- Analytic methods in accident research. Volume 16(2017)
- Journal:
- Analytic methods in accident research
- Issue:
- Volume 16(2017)
- Issue Display:
- Volume 16, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 16
- Issue:
- 2017
- Issue Sort Value:
- 2017-0016-2017-0000
- Page Start:
- 35
- Page End:
- 47
- Publication Date:
- 2017-12
- Subjects:
- Random parameters logit model -- Heterogeneity in means and variances -- Observed and unobserved heterogeneity -- Bicyclist-injury severity -- Bicycle-vehicle crashes
Accidents -- Research -- Methodology -- Periodicals
Accidents -- Prevention -- Periodicals
363.100721 - Journal URLs:
- http://www.sciencedirect.com/science/journal/22136657 ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.amar.2017.08.001 ↗
- Languages:
- English
- ISSNs:
- 2213-6657
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 5811.xml