Journal Article
Seyedmirsjad Mokhtarimousavi
Oct-19
Mokhtarimousavi, S. (2019). A Time of Day Analysis of Pedestrian-Involved Crashes in California: Investigation of Injury Severity, a Logistic Regression and Machine Learning Approach Using HSIS Data. ITE Journal, 89(10), pp 25-33.
While there have been many studies analyzing crash severity, few studies have accounted for temporal transferability and compared different crash severity models. This study attempts to investigate the contributing factors for the injury severity of pedestrian-involved crashes for different time of day (daytime vs. nighttime). To achieve this, a large sample of crash records from 2010 to 2014 (5 years) from the state of California was collected from the Highway Safety Information System (HSIS) crash dataset. A multinomial logit (MNL) modeling approach is applied to determine the statistically significant injury severity contributing factors by time of day. In addition, a parameter transferability test is conducted to determine if daytime crashes and nighttime crashes need to be considered separately for safety analyses. A Support Vector Machine (SVM) model is also employed for prediction performance comparison purposes. The empirical results reveal that factors, including pedestrian action, type of vehicle involved, roadway type, weather condition, and accident type, are among the top three impactful variables for fatal and severe injury levels for daytime and nighttime crashes. In addition, the results show that SVM models provide superior results compared to MNL model.
ITE Journal
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HSIS Summary Reports are two to eight pages in length and include a brief description of the issue addressed, data used, methodology applied, significant results, and practical implications.
A variety of research studies have been performed using data from HSIS. Many of the final reports prepared are now available electronically.
Research reports are often summarized in executive summaries, technical briefs, or other abbreviated formats. Included here are those road safety summaries that involved research using HSIS data.
In addition to conducting research, HSIS resources are also used to develop products that can be used by practitioners in the analysis of safety problems.
HSIS data are sometimes used in research studies that result in other types of finished products, such as dissertations, theses, and conference proceedings.
