期刊
TRANSPORTATION RESEARCH RECORD
卷 2677, 期 3, 页码 1261-1277出版社
SAGE PUBLICATIONS INC
DOI: 10.1177/03611981221122781
关键词
run-off road; cell-phone use; distraction; roadway desparture; association rule mining
Cellphone use has been strongly associated with roadway departure, but the patterns of single-vehicle run-off-road crashes caused by cellphone distraction have not been explored. This study used association rule mining to identify variable categories in such crashes and discuss the crash patterns associated with different severity types.
A wide array of literature strongly indicates a higher likelihood of roadway departure because of cellphone use; however, patterns of associative attributes in single-vehicle run-off-road (SVROR) crashes because of cellphone distraction remained unexplored. Using the association rule mining (ARM) method, this study aimed to identify the variable categories that concurrently occur in such crashes, visualize the structures representing those concurrent associations, and discuss the crash patterns associated with different severity types. The SVROR crashes with cellphone use by the driver at fault were highlighted to be strongly connected to non-usage of safety restraints, weekends, both lighted and unlighted dark conditions, two-lane highways without physical separation, roadway curves, and so forth. Alongside several attributes, non-usage of restraints was strongly associated with fatal and both incapacitating and non-incapacitating injury crashes. The findings of this study can benefit the determination of suitable countermeasures to prevent cellphone-related SVROR crashes.
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