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Title: Effects of Regional and Company Characteristics on the Injury Severity in Bus-Pedestrian Crashes
Accession Number: 01697288
Record Type: Component
Abstract: Bus-pedestrian crashes typically result in more severe injuries and deaths than any other type of bus crashes. It is necessary to screen and improve the risk factors that affect bus-pedestrian crashes. Using bus-pedestrian crash data in South Korea from 2011 to 2015, this study investigates the factors related to the injury severity in the crashes, including crash level factors and regional and company group factors. Bus-pedestrian crashes that are affected by company and regional characteristics have a cross-classified hierarchical structure, which is difficult to address properly using a single-level model or even a two level multi-level model. Therefore, in this study, the authors use a cross-classified, multi-level model (CCMM) to consider simultaneously the unobserved heterogeneities in two distinct levels, i.e., the company and regional levels. The results indicate that the company and regional effects are 16.8% and 5.1%, respectively, which justify the use of multi-level model. The authors also confirm that type I errors may arise when the effects of upper-level groups are ignored. This shows the advantage of using the CCMM compared to using either a single-level model or a two-level model. The statistically significant factors include three regional-level factors, i.e., the elderly ratio, the ratio of the transportation infrastructure budget, and the number of doctors, and 13 crash-level factors. The results provide useful insights concerning bus-pedestrian crashes.
Supplemental Notes: This paper was sponsored by TRB committee AP018T Task Force on Transit Safety and Security.
Report/Paper Numbers: 19-01102
Language: English
Corporate Authors: Transportation Research BoardAuthors: Park, Ho-ChulJoo, Yang-JunKho, Seung-YoungKim, Dong-KyuPagination: 5p
Publication Date: 2019
Conference:
Transportation Research Board 98th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: References; Tables
TRT Terms: Geographic Terms: Subject Areas: Highways; Pedestrians and Bicyclists; Planning and Forecasting; Public Transportation; Safety and Human Factors
Source Data: Transportation Research Board Annual Meeting 2019 Paper #19-01102
Files: TRIS, TRB, ATRI
Created Date: Dec 7 2018 9:22AM
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