Street Networks: Traffic Safety, Travel Mode Choice and Emergency Services
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Norman Garrick compares street network design from pre-1950 and post-1950, factors that help determine the overall safety of safe pedestrian travel, and explains why it is so obvious that the pandemic of sprawl development is to blame for unsafe, poorly designed, disconnected neighborhoods. Studies prove that Street Network Design has an integral role in providing safe, pedestrian friendly,and highly accessible communities. We must re-think the suburban model in order to reform emergency response.
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Street Networks: Traffic Safety, Travel Mode Choice and Emergency Services
- 2. Davis, CA 14 % of people ride to work
- 3. Davis, CA Road Fatality Rate: 1 per 100,000
- 4. Road Fatality Rate for All 157 California Cities Over 40,000 number per 100,000 population 0.0 17.3
- 5. Road Fatality Rate for All 157 California Cities Over 40,000 number per 100,000 population
- 7. Risk of Fatality (Fatalities as % of Injuries) California Cities of 40,000 to 120,000
- 9. Adapted from Stephen Marshall Pre-1950’s Post-1950’s Evolution of the Street Network
- 12. FHA Technical Bulletin No. 7 (1938) Planning Profitable Neighborhoods
- 14. Street network, safety and sustainability in 24 medium sized California cities Cities selected to represent a range of traffic safety level
- 17. Citywide Street Network Neighborhood Street Network Linear Tree Grid Tributary Radial Grid Tree Adapted from Stephen Marshall, Streets & Patterns
- 18. 550 Intersections per Square Mile Network Scale
- 19. 110 Intersections per Square Mile Network Scale
- 20. 45 Intersections per Square Mile Network Scale
- 21. Link-to-Node Ratio = 1.61 Link-to-Node Ratio = 1.13 Link-to-Node Ratio = 1.16 Network Connectivity
- 23. Safety Analysis Based on Geo-coding 230,000 Accident Records in 24 California Cities
- 24. Safety and Travel Choice Analysis done for 1040 Census Block Groups 24 California Cities
- 25. Travel Choice Based on Census Data 1040 Census Block Groups, 24 California Cities
- 26. versus
- 27. versus Safety Risk of Severe Injury or Fatality Chance of being Severely Injured 30% Higher Chance of being Killed 50% Higher
- 28. Odds of Dying in a Road Accident based on Intersection Density 1 in 200 1 in 500
- 29. Percentage of People Walking, Biking or Taking Transit
- 30. Percentage of People Walking, Biking or Taking Transit Effect of Intersection Density for Cul-de-sac Network
- 31. Percentage of People Walking, Biking or Taking Transit Effect of Intersection Density for Gridded Network
- 32. Thanks to US EPA and CNU
- 34. 15,000 11,000 14,000 11,000
- 35. 8,346 10,524 12,831 8,600 2,461 28,820 7,518 6,774
- 36. 16,186 10,364 13,154 24,283 5,898 15,547 17,107
- 37. Davis: Response Time 14.9 mph 14.2 mph 12.7 mph
- 42. Downtown Hartford 1960 to 2000 Parking
- 43. City of Hartford 1960 to 2000 Population and Employment
- 44. Evolution of Network in California Cities
- 46. Norman W. Garrick 11 X 2 X
- 48. Norman W. Garrick Sustainability Gap USA Norway Daily Miles Traveled For every man, woman and child
Notas do Editor
- To tame the street so all street users can share in its function for their specific needs, We have to reduce the vehicle operating speeds.