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Title: Modeling Pedestrian Crashes at Midblock Locations
Accession Number: 01657985
Record Type: Component
Abstract: This paper focuses on identifying factors and developing pedestrian crash estimation models for midblock locations. Seventy midblock locations were identified in the city of Charlotte, North Carolina to capture data and develop as well as validate pedestrian crash estimation models. The number of pedestrian crashes over a four-year period (2013 - 2016), within a 0.25-mile buffer around each selected midblock location, was used as the dependent variable. Road network characteristics, transit network characteristics, demographic characteristics, and land use characteristics captured within a 0.5-mile buffer around each midblock location were used as the independent variables. Data for 55 midblock locations were considered for developing six pedestrian crash estimation models using SPSS statistical analysis software, while data for the remaining 15 midblock locations were considered for validating the developed pedestrian crash estimation models. The best model was selected based on the goodness-of-fit statistics and validation results. The presence of crosswalk marking and the number of transit stops have a positive effect on pedestrian crashes at midblock locations. Land uses like multi-family, retail and single-family attached also have a positive effect on pedestrian crashes at midblock locations. The findings from the pedestrian crash estimation models can be used by practitioners to proactively plan and improve pedestrian safety at mid-block locations.
Supplemental Notes: This paper was sponsored by TRB committee ANB20 Standing Committee on Safety Data, Analysis and Evaluation.
Report/Paper Numbers: 18-05552
Language: English
Authors: Pagination: 17p
Publication Date: 2018
Conference:
Transportation Research Board 97th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Geographic Terms: Subject Areas: Pedestrians and Bicyclists; Planning and Forecasting; Safety and Human Factors
Source Data: Transportation Research Board Annual Meeting 2018 Paper #18-05552
Files: TRIS, TRB, ATRI
Created Date: Jan 8 2018 11:25AM
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