Analyzing the Safety Consequences of Pedestrian Spatial Violation at Mid-Blocks: A Bayesian Structural Equation Modeling Approach
The objective of this study is to understand the impact of a variety of factors on the frequency and severity of pedestrian-vehicle collisions that involve pedestrian spatial violations at mid-blocks. To that end, the historical collision records of the City of Hamilton between 2010 and 2017 were obtained, and collisions that had occurred at mid-blocks were filtered out. A Bayesian structural equation modeling (SEM) framework was developed to investigate the impact of a wide range of factors on such collisions. First, a classical SEM was developed to group the different factors into sets of latent variables. Four latent variables were defined, including location amenities and attractions, pedestrian/road network characteristics, exposure parameters, and location/collision-specific factors. The Bayesian SEM was then implemented to investigate the relationship between the latent variables and collisions. The results showed that the amenities and attractions of a location (e.g., parks, schools, bike-share stations, and bus stops) were the most influential factor on the frequency of collisions that involve spatial violation, followed by pedestrian network characteristics. Pedestrian network characteristics and location/collision-specific factors were found to be the most influential factors on the severity of collisions. The location of bike-share stations, pedestrian network connectivity, exposure to walkers, and the number of lanes were the four observed variables that explained the highest percentage of the variance in each latent group, respectively. The results of this study should assist engineers and planners to develop better design concepts to mitigate collisions that are caused by pedestrian spatial violations in urban areas.
- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/03611981
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Supplemental Notes:
- Haniyeh Ghomi https://orcid.org/0000-0003-2650-172X© National Academy of Sciences: Transportation Research Board 2022.
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Authors:
- Ghomi, Haniyeh
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0000-0003-2650-172X
- Hussein, Mohamed
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0000-0003-3205-4727
- Publication Date: 2023-1
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 1-13
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Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Volume: 2677
- Issue Number: 1
- Publisher: Sage Publications, Incorporated
- ISSN: 0361-1981
- EISSN: 2169-4052
- Serial URL: http://journals.sagepub.com/home/trr
Subject/Index Terms
- TRT Terms: Bayes' theorem; Midblock crossings; Pedestrian safety; Pedestrian vehicle crashes; Structural equation modeling; Traffic violations
- Geographic Terms: Hamilton (Canada)
- Subject Areas: Highways; Pedestrians and Bicyclists; Safety and Human Factors;
Filing Info
- Accession Number: 01849105
- Record Type: Publication
- Files: TRIS, TRB, ATRI
- Created Date: Jun 22 2022 4:10PM