01518659

Component

https://doi.org/10.3141/2464-14

Crash prediction models are useful tools for identifying locations that have a higher risk of crashes and for prioritizing projects. The focus of this study was on developing macroscopic or planning-level models for pedestrian safety. Although such efforts have been undertaken, they have generally focused on specific cities or counties with census tracts as the unit of the analysis. This study analyzed a larger study area (the state of Florida) at a finer spatial resolution (census block groups instead of tracts). Four models were developed to determine the crash frequency for each census block group. The models were for total crashes, severe and fatal crashes, fatal crashes, and nighttime crashes. The estimated models captured the effects of several socioeconomic, transportation, land use, and contextual variables. The results generally reaffirmed past findings about the relationship between crashes and socioeconomic, transportation, and land use characteristics. However, the models in this study captured relationships at the level of census block groups, whereas most past studies reported relationships at the level of census tracts. In addition, the models developed in this study included the effect of certain variables at multiple spatial scales and yielded interesting results. In particular, the variables at multiple scales clearly indicated locations with larger volumes of conflicting vehicular and pedestrian movements to be of higher risk for pedestrian crashes.

01557586

14-5360

English

pp 109–117

2014

Transportation Research Record: Journal of the Transportation Research Board

9780309295567

Print

Figures (1) ; Maps; References (20) ; Tables (6)

Crash risk forecasting; High risk locations; Pedestrian safety; Pedestrian vehicle crashes; Spatial analysis

Florida

Data and Information Technology; Pedestrians and Bicyclists; Planning and Forecasting; Safety and Human Factors; I81: Accident Statistics

TRIS, TRB, ATRI

Jan 27 2014 3:52PM

• Assessing the Safety Benefit of Advanced Vehicular Technology for Protecting Pedestrians: Pedestrian Protection Airbags
• Closed-Course Study of Driver Detection of Pedestrians Beyond Flashing Beacons Within Sign Assembly
• Development of Low-Cost Methodology for Evaluating Pedestrian Safety in Support of Complete Streets Policy Implementation
• Driver Approach Speed and Its Impact on Driver Yielding to Pedestrian Behavior at Unsignalized Crosswalks
• Evaluating Driver and Pedestrian Behaviors at Enhanced, Multilane, Midblock Pedestrian Crossings: Case Study in Portland, Oregon
• Examining Long-Term Impact of California Safe Routes to School Program: Ten Years Later
• Far-Side Audible Beaconing of Accessible Pedestrian Signals: Is It Confusing?
• Impact of Intersection Design on Pedestrians’ Choice to Cross on Red
• Impacts of Alternative Yield Sign Placement on Pedestrian Safety
• Mitigation of Pedestrian–Vehicle Conflicts at Stop-Controlled T-Intersections
• Pedestrian Safety Initiative in Montgomery County, Maryland: Data-Driven Approach to Coordinating Engineering, Education, and Enforcement
• Perception-Based Walkability Index to Test Impact of Microlevel Walkability on Sustainable Mode Choice Decisions
• Safety Performance Study of Shared Pedestrian and Vehicle Space in New Zealand
• Understanding Pedestrian and Bicyclist Compliance and Safety Impacts of Walk Modes at Signalized Intersections for a Livable Community
• Walkability Indicators for Pedestrian-Friendly Design
• Walking Behaviors by Trip Purposes
• Walking for Purpose and Pleasure: Influences of Light Rail, Built Environment, and Residential Self-Selection on Pedestrian Travel