01044079

Component

https://doi.org/10.3141/2002-06

http://scholar.google.com...isan&publication_year=2007

This paper presents a summary of various methods that can be used to identify pedestrian high-crash locations (HCLs) and statistical evaluations of the relationship between the ranking methods. The indices and methods used to identify and rank pedestrian HCLs include individual methods such as crash indices based on frequency, weighted severity factor, vehicular traffic volume, and pedestrian age group, as well as composite methods such as the sum-of-the-ranks method and the crash score method. The ranks for individual HCLs obtained by these methods may vary, as they are based on different data. There is thus a need to evaluate the statistical relationships between the results obtained by the various methods. Data for 30 pedestrian HCLs in the Las Vegas, Nevada, metropolitan area were used to illustrate the methods and conduct statistical analyses. The results indicated that the rankings based on the individual methods were strongly correlated to the rankings from the composite methods, as were the rankings between the composite methods. The results also indicated that the rankings based on individual methods were correlated among themselves, although this correlation was not as strong. Furthermore, when only the top few highest-ranked HCLs were considered, their ranks were strongly correlated, regardless of the method chosen. Although any of the methods could be used to identify pedestrian HCLs, use of the simple frequency- or weighted frequency-based methods would be adequate as a first step.

01082339

English

pp 39-54

2007

Transportation Research Record: Journal of the Transportation Research Board

9780309104289

Print

References (14) ; Tables (11)

Age groups; Crash severity; Crosswalks; High risk locations; Pedestrian vehicle crashes; Statistical analysis; Traffic volume

Las Vegas Metropolitan Area

Data and Information Technology; Highways; Safety and Human Factors; Society; I81: Accident Statistics

TRIS, TRB, ATRI

Feb 8 2007 6:58PM

• Application of Level-of-Service Methods for Evaluation of Operations at Pedestrian Facilities
• Assessing Passenger Comfort and Capacity Bottlenecks in Dutch Train Stations
• Crosswalk Confusion: More Evidence Why Pedestrian and Driver Knowledge of the Vehicle Code Should Not Be Assumed
• Effects of Various Minimum Green Times on Percentage of Pedestrians Waiting for Midblock “Walk” Signal
• Estimating Nonmotorized Travel Demand
• Evaluation of Pedestrian and Driver Behaviors at Countdown Pedestrian Signals in Peoria, Illinois
• Examining Deficiencies in Florida Pedestrian Crash Data
• How Many Steps Do You Have in Reserve? Thoughts and Measures About a Healthier Way to Travel
• In-Roadway "Yield to Pedestrians" Signs: Placement Distance and Motorist Yielding
• Model for Estimating Crossing Times at High-Occupancy Crosswalks
• Modeling Fault in Fatal Pedestrian Crashes by Using Various Data Sources
• Overall Level of Service of Urban Walking Environment and Its Influence on Pedestrian Route Choice Behavior: Analysis of Pedestrian Travel in Sapporo, Japan
• Pedestrian Counting Methods at Intersections: A Comparative Study
• Pedestrians’ Normal Walking Speed and Speed When Crossing a Street
• Use of Safety Viewgrams to Visualize Driver and Pedestrian Interactions