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The Costs of Traffic Accident Hotspots
- Source :
- ITSC
- Publication Year :
- 2019
- Publisher :
- IEEE, 2019.
-
Abstract
- Despite efforts to reduce them, traffic accidents continue to increase and bypass reduction targets. The costs of traffic accidents are enormous, killing 1.35 million people every year and costing 3% of most countries’ GDP. Recent research aims to target interventions at high-accident-density locations, called accident hotspots. New methods and technologies can systematically identify hotspots, but it remains unclear whether hotspots contribute to accident costs as well as volume. This paper investigates the monetary and human costs of accident hotspots. We analyze a dataset of all accidents from 2011 - 2017 in Switzerland. We identify hotspots, then analyze their contributions to traffic accident costs. We find that hotspot accidents are not different in monetary costliness or injury rates from non-hotspot accidents, so hotspots drive costs along with accident volume. However, hotspot accidents are less fatal, so hotspot targeting might not be best for fatalities. If hotspots are reduced to normal road conditions, total monetary costs can be reduced by up to 5% per year as a theoretical upper bound. Targeting the top 10% most frequent, costly, injurious, or deadly hotspots yeilds different results for different cost types, with accident number and monetary cost targets creating the highest reductions overall.
- Subjects :
- Standards
costing
Natural resource economics
high-accident-density locations
Road accidents
data analysis
pattern clustering
traffic engineering computing
computer science
road vehicles
03 medical and health sciences
0302 clinical medicine
road traffic accident hotspots
0502 economics and business
Hotspot (geology)
Spatial databases
030212 general & internal medicine
density-based spatial clustering of application with noise
Law enforcement
Activity-based costing
traffic accident costs
050210 logistics & transportation
Injuries
Traffic accident
05 social sciences
road traffic
data mining
DBSCAN
Roads
spatial data analysis
data mining clustering
road safety
Switzerland
Subjects
Details
- Language :
- German
- Database :
- OpenAIRE
- Journal :
- ITSC
- Accession number :
- edsair.doi.dedup.....256daf8a5b99e1dd80c9fc28a7986fe7