00985892

Component

https://doi.org/10.3141/1897-04

http://scholar.google.com...ddus&publication_year=2004

An analysis is presented of pedestrian and bicycle casualties by using cross-sectional time series data for the regions of Great Britain. A fixed-effect negative binomial model is used that accounts for heterogeneity in the data and the distributional properties of count data. Various factors associated with those killed and seriously injured as well as with slight injuries are examined. These include the average age of vehicles in the region, the road length of various road classes, vehicle ownership in the region, per capita income, per capita expenditure on alcohol, age cohorts, and various proxies for medical technology improvements. Various specifications of the models are estimated. Generally, it is found that more serious pedestrian injuries are associated with lower-income areas, increases in percent of local roads, increased per capita expenditure on alcohol, and total population. Statistical effects are more difficult to detect in models with serious injuries for bicyclists, but alcohol expenditure is strongly associated with increased injuries. This work has implications for transport policy aimed at increasing the modal share of pedestrians and bicyclists. Further research is needed to clearly understand some of the trends found in the analysis, especially the effect of changes in medical care and technology on total injuries.

This paper appears in Transportation Research Record No. 1897, Statistical Methods and Safety Data Analysis and Evaluation.

00985888

English

p. 28-33

2004

Transportation Research Record

030909495X

References (26) ; Tables (2)

Alcoholic beverages; Bicycle crashes; Casualties; Crash data; Data analysis; Income; Medical treatment; Pedestrian vehicle crashes; Population; Regional analysis; Statistical analysis; Trend (Statistics)

United Kingdom

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

TRIS, TRB, ATRI

Feb 11 2005 12:00AM

• ASSESSING SAFETY BENEFITS OF VARIABLE SPEED LIMITS
• CHAOS THEORY AND TRANSPORTATION SYSTEMS: INSTRUCTIVE EXAMPLE
• DEVELOPMENT OF ACCIDENT PREDICTION MODELS FOR RURAL HIGHWAY INTERSECTIONS
• EFFECTIVE AND FAIR IDENTIFICATION OF HAZARDOUS LOCATIONS
• EVALUATION AND VALIDATION OF AUTOMATED IN-VEHICLE DATA COLLECTION SYSTEM FOR DEVELOPING ROADWAY ALIGNMENTS
• EXPLICIT CONSIDERATION OF SAFETY IN TRANSPORTATION PLANNING AND PROJECT SCOPING
• FORECASTING CRASHES AT THE PLANNING LEVEL: SIMULTANEOUS NEGATIVE BINOMIAL CRASH MODEL APPLIED IN TUCSON, ARIZONA
• HOW BEST TO RANK SITES WITH PROMISE
• IDENTIFICATION AND RANKING OF BLACK SPOTS: SENSITIVITY ANALYSIS
• INCIDENT CLUSTERING: DIAGNOSTIC APPROACH FOR ASSESSING USABILITY OF INTERSECTIONS AND OTHER ROAD SITES
• INTERSECTION SAFETY AT HIGH-SPEED SIGNALIZED INTERSECTIONS: NUMBER OF VEHICLES IN DILEMMA ZONE AS POTENTIAL MEASURE
• LINKING ROADWAY GEOMETRICS AND REAL-TIME TRAFFIC CHARACTERISTICS TO MODEL DAYTIME FREEWAY CRASHES: GENERALIZED ESTIMATING EQUATIONS FOR CORRELATED DATA
• MAKING THE MOST OF LIMITED DATA IN EVALUATING ADVANCED TRAVELER INFORMATION SYSTEMS BY EXPERIMENTAL RESAMPLING
• MARGINAL IMPACTS OF DESIGN, TRAFFIC, WEATHER, AND RELATED INTERACTIONS ON ROADSIDE CRASHES
• NEW APPROACH FOR INCLUDING TRAFFIC VOLUMES IN CRASH RATE ANALYSIS AND FORECASTING
• PREDICTING CASUALTY NUMBERS IN GREAT BRITAIN
• PREDICTING FREEWAY CRASHES FROM LOOP DETECTOR DATA BY MATCHED CASE-CONTROL LOGISTIC REGRESSION
• PREDICTING THE SEVERITY OF MEDIAN-RELATED CRASHES IN PENNSYLVANIA BY USING LOGISTIC REGRESSION
• REVISITING THE INFLUENCE OF CRASH REPORT FORMS ON WORK ZONE CRASH DATA
• SAFETY EFFECTS OF NARROW LANES AND SHOULDER-USE LANES TO INCREASE CAPACITY OF URBAN FREEWAYS
• SAFETY EVALUATION OF PERMANENT RAISED SNOW-PLOWABLE PAVEMENT MARKERS
• SAFETY MODELS FOR URBAN FOUR-LANE UNDIVIDED ROAD SEGMENTS
• STATISTICAL ROAD SAFETY MODELING
• STUDY OF FATAL TRAFFIC ACCIDENTS IN ASIA PACIFIC COUNTRIES
• TO WHAT EXTENT IS THERE BIAS BY SELECTION? SELECTION FOR ROAD SAFETY TREATMENT IN NORWAY
• VALIDATION AND IMPROVEMENT OF A REAR-END CONFLICT PREDICTION MODEL