Factors Contributing to the Relationship between Driving Mileage and Crash Frequency of Older Drivers

Dongkwan Lee, Jean-Michel Guldmann and Choongik Choi
Additional contact information
Dongkwan Lee: Department of Public Administration, Kangwon National University, 1 Gangwondaehak-gil, Seoksa-dong, Chuncheon, Gangwon-do 24341, Korea
Jean-Michel Guldmann: Department of City and Regional Planning, Ohio State University, 275 West Woodruff Avenue, Columbus, OH 43210, USA
Choongik Choi: Department of Public Administration, Kangwon National University, 1 Gangwondaehak-gil, Seoksa-dong, Chuncheon, Gangwon-do 24341, Korea

Sustainability, 2019, vol. 11, issue 23, 1-13

Abstract: As a characteristic of senior drivers aged 65 +, the low-mileage bias has been reported in previous studies. While it is thought to be a well-known phenomenon caused by aging, the characteristics of urban environments create more opportunities for crashes. This calls for investigating the low-mileage bias and scrutinizing whether it has the same impact on other age groups, such as young and middle-aged drivers. We use a crash database from the Ohio Department of Public Safety from 2006 to 2011 and adopt a macro approach using Negative Binomial models and Conditional Autoregressive (CAR) models to deal with a spatial autocorrelation issue. Aside from the low-mileage bias issue, we examine the association between the number of crashes and the built environment and socio-economic and demographic factors. We confirm that the number of crashes is associated with vehicle miles traveled, which suggests that more accumulated driving miles result in a lower likelihood of being involved in a crash. This implies that drivers in the low mileage group are involved in crashes more often, regardless of the driver’s age. The results also confirm that more complex urban environments have a higher number of crashes than rural environments.

Keywords: low-mileage bias; traffic crash; older driver; spatial analysis; traffic safety (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www.mdpi.com/2071-1050/11/23/6643/pdf (application/pdf)
https://www.mdpi.com/2071-1050/11/23/6643/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:11:y:2019:i:23:p:6643-:d:290460

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().