Title

Data Analysis for Identifying High Chance Scenarios of Hazardous Material Highway Transportation Incidents

Abstract

Although the transportation of hazardous materials in the U.S. follows rigorous safety regulations, incidents happen during any transportation phases. During past ten years, over 87% of the incidents occurred on the highway. These hazardous material highway incidents (HMHIs) have caused near 760 million dollars of damage, 194 hospitalized injuries, and 110 fatalities. 81% of the fatalities and 87% of the hospitalized injuries are transportation workers. We study HMHIs that caused hospitalized injuries (type-H HMHIs), and those caused fatalities (type-F HMHIs), all during 2008-2017, to develop a thorough understanding of these severe incidents. A distribution-based comparison method is developed for assessing the heterogeneity of any incident sample. Pareto-type distribution charts are generated for each sample of study and its population on various data fields. Then, a series of metrics are developed and used to measure the heterogeneity of the sample through a series of pairwise comparisons of the distribution charts. Results show that both type-F and type-H HMHIs are non-homogenous samples of their population. Moreover, unique features of each sample are identified. Following that, the study further develops a sequentially unfolding strategy for efficiently identifying high chance scenarios of HMHIs. Six scenarios are identified, where assistances provided to transportation workers will effectively lower the chance of type-H HMHIs, type-F HMHIs, or both of them.

Meeting Name

39th International Annual Conference of the American Society for Engineering Management: Bridging the Gap Between Engineering and Business, ASEM 2018 (2018: Oct. 17-20, Coeur d'Alene, ID)

Department(s)

Engineering Management and Systems Engineering

Comments

This research is funded by the Mid-America Transportation Center via a grant from the U.S. Department of Transportation’s University Transportation Centers Program (25-1121-0005-130[00059765]) and by the Department of Engineering Management and Systems Engineering at Missouri University of Science and Technology.

Keywords and Phrases

Data analysis; Hazardous material transportation; Hazardous material transportation incidents; Highway; Worker safety

International Standard Book Number (ISBN)

978-151087464-0

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2018 American Society for Engineering Management (ASEM), All rights reserved.

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