Highlights There is no systematic crash data screening procedure for quasi-induced exposure. How the eliminated crash data impact the responsibility assignment is needed. Necessary efforts are lacking to assess the validity of assumptions before its use. The validation is mostly restricted to the aggregated levels. The magnitude of bias due to injury risks and crash avoidance ability is unknown.
Abstract Objective The goal is to comprehensively examine the state-of-the-art applications and methodological development of quasi-induced exposure and consequently pinpoint the future research directions in terms of implementation guidelines, limitations, and validity tests. Methods The paper conducts a comprehensive review on approximately 45 published papers relevant to quasi-induced exposure regarding four key topics of interest: applications, responsibility assignment, validation of assumptions, and methodological development. Results Specific findings include that: (1) there is no systematic data screening procedure in place and how the eliminated crash data will impact the responsibility assignment is generally unknown; (2) there is a lack of necessary efforts to assess the validity of assumptions prior to its application and the validation efforts are mostly restricted to the aggregated levels due to the limited availability of exposure truth; and (3) there is a deficiency of quantitative analyses to evaluate the magnitude and directions of bias as a result of injury risks and crash avoidance ability. Conclusions The paper points out the future research directions and insights in terms of the validity tests and implementation guidelines.
A comprehensive review on the quasi-induced exposure technique
Accident Analysis and Prevention ; 65 ; 36-46
2013-12-07
11 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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