89 0

Integration of Heuristic and Statistical Methods for Estimation of Cyclist Injury Severity

Title
Integration of Heuristic and Statistical Methods for Estimation of Cyclist Injury Severity
Author
정소영
Keywords
cyclist injury; decision tree; ordered probit regression; prioritizing and specifying strategies; cyclist safety improvement
Issue Date
2016-03
Publisher
KOREAN SOCIETY OF CIVIL ENGINEERS-KSCE
Citation
KSCE JOURNAL OF CIVIL ENGINEERING, v. 21, No. 1, Page. 431-439
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.
URI
https://link.springer.com/article/10.1007/s12205-016-0777-xhttp://hdl.handle.net/20.500.11754/50252
ISSN
1226-7988; 1976-3808
DOI
10.1007/s12205-016-0777-x
Appears in Collections:
RESEARCH INSTITUTE[E](부설연구소) > RESEARCH INSTITUTE OF ENGINEERING & TECHNOLOGY(공학기술연구소) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE