NDLI: Integration of heuristic and statistical methods for estimation of cyclist injury severity

Content Provider	Springer Nature Link
Author	Joo, Shinhye Jung, Soyoung Oh, Cheol
Copyright Year	2017
Abstract	The number of crashes that involve bicycles and result in severe injuries has increased every year in the Republic of Korea, though bicycling is a promising alternative transportation mode that can help address transportation emission problems. Correspondingly, this study intends to quantitatively examine the impacts of contributing factors on the cyclist injury severity levels and to provide meaningful insight into prioritizing and specifying strategies for improving cyclist safety. To this end, a decision tree and ordered probit regression were integrated in this study. The findings showed that heavy vehicle use and cyclist age should be preferentially considered when implementing cyclist safety improvement strategies: targeting young heavy-vehicle drivers or cyclists, driver education regarding proper curve maneuvering and a law enforcement prohibition of speeding are suggested, and ITS-based traffic management system and road facilities would help enhance light vehicle driver visibility and senior cyclist alertness, particularly in horizontally curving road sections. These data-driven results could quantitatively support the policy makers or practitioners making decisions about prioritizing cyclist safety improvement strategy implementations and further specifying such strategies.
Starting Page	431
Ending Page	439
Page Count	9
File Format	PDF
ISSN	12267988
Journal	KSCE Journal of Civil Engineering
Volume Number	21
Issue Number	1
e-ISSN	19763808
Language	English
Publisher	Korean Society of Civil Engineers
Publisher Date	2016-03-04
Publisher Place	Seoul
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	cyclist injury decision tree ordered probit regression prioritizing and specifying strategies cyclist safety improvement Civil Engineering Industrial Pollution Prevention Geotechnical Engineering & Applied Earth Sciences
Content Type	Text
Resource Type	Article
Subject	Civil and Structural Engineering

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