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Comprehensive study to reduce pedestrian crashes in Florida.

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English


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  • Abstract:
    Pedestrian crashes are a major traffic safety concern in Florida. This project aims to improve pedestrian safety on ; Florida’s state roads by identifying crash patterns and contributing factors at both the statewide and site-specific ; level and proposing potential countermeasures to reduce pedestrian crashes. The specific project objectives include: ; (1) perform a comprehensive review of existing pedestrian safety studies; (2) identify statewide pedestrian crash ; patterns and causes; (3) identify factors contributing to pedestrian injury severity; and (4) identify and analyze ; pedestrian high crash locations at both signalized and non-signalized locations for crash causes and propose the ; potential countermeasures for these crash causes. ; A total of 6,434 pedestrian crashes that occurred on state roads during 2008-2010 were identified and analyzed. ; Police reports for these crashes were carefully reviewed to obtain additional crash details, including those from ; police descriptions and illustrative sketches. In addition, additional roadway information not available from the state ; roadway inventory such as types of crosswalks were visually identified. Both of these efforts were performed using ; two in-house web-based systems developed to facilitate police report review and data collection. ; At the statewide level, crash patterns as they relate to pedestrian, vehicle, traffic control, roadway, and environmental ; characteristics were analyzed. As pedestrian crashes are typically severe, a mixed logit model was developed to ; identify factors contributing to pedestrian injury severity at signalized and non-signalized locations. At the sitespecific level, pedestrian high crash locations were identified by identifying clusters of pedestrian crashes at both ; signalized and non-signalized locations. Both district-wide and statewide pedestrian high crash locations were ; identified. The statewide locations were further analyzed to identify location-specific crash causes and ; countermeasures.
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    Filetype[PDF - 8.06 MB]
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    urn:sha-512:6f9f7e8a2c418a7e52fb3871034bfb9ef28a2fc5f163156acd009159c7155d7e4cc7ee962cace5c6dbbf86aafcaf3c20ed8867ee5103312e045990faf071dc97
File Language:
English
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