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Spatial analysis of Honolulu motor vehicle crashes: I. Spatial patterns
1Department of Urban and Regional Planning, University of Hawaii at Manoa, Honolulu 96822, USA. Ned@hawaii.edu.
Accident; Analysis and Prevention
|October 1, 1995
Summary
This study analyzed Honolulu motor vehicle accidents in 1990, revealing spatial patterns and accident concentrations. Findings show accidents are closer to employment centers, with rural areas experiencing more severe, alcohol-related night-time crashes.
Area of Science:
- Transportation Safety
- Geographic Information Systems (GIS)
- Urban Planning
Background:
- Motor vehicle accidents pose significant public safety challenges.
- Understanding spatial patterns is crucial for effective accident prevention strategies.
- Previous analyses often lacked detailed spatial resolution.
Purpose of the Study:
- To describe and analyze spatial patterns of motor vehicle accidents in Honolulu for 1990.
- To develop and utilize spatial software tools for analyzing accident concentrations.
- To investigate variations in accident patterns by type, time, and location.
Main Methods:
- Geo-coding of approximately 98% of accident locations.
- Development of spatial software tools for concentration analysis.
- Analysis of accident data by type, hour, weekday, and weekend.
Main Results:
- Accident locations were identified with high accuracy using geo-coding.
- Spatial patterns showed accidents are generally closer to employment centers than residential areas.
- Suburban and rural areas exhibited higher rates of fatal/serious injury, night-time, and alcohol-related accidents, correlating with specific crash types.
Conclusions:
- Spatial analysis reveals dynamic accident fluctuations linked to traffic patterns.
- The study highlights the limitations of traditional 'blackspot' analysis for understanding complex spatial accident dynamics.
- Findings suggest targeted interventions for different geographic and temporal contexts are necessary.