Xinguo Jiang1, Richard W Lyles2, Runhua Guo3. 1. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China. Electronic address: ejiang@gmail.com. 2. Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, USA. Electronic address: lyles@egr.msu.edu. 3. Department of Civil Engineering, Tsinghua University, Beijing, China.
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.
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.
Authors: Almudena Sanjurjo-de-No; Blanca Arenas-Ramírez; José Mira; Francisco Aparicio-Izquierdo Journal: Int J Environ Res Public Health Date: 2021-02-04 Impact factor: 3.390
Authors: José Mateos-Granados; Luis Miguel Martín-delosReyes; Mario Rivera-Izquierdo; Eladio Jiménez-Mejías; Virginia Martínez-Ruiz; Pablo Lardelli-Claret Journal: Int J Environ Res Public Health Date: 2021-12-16 Impact factor: 3.390