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Safety in Numbers: Is It Real

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John Forester's Claim: Mode Share and Improved Safety both Caused by Other Factors ... Street design. Income levels. Conclusion (2) ... – PowerPoint PPT presentation

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Title: Safety in Numbers: Is It Real


1
Safety in NumbersIs It Real?
  • Richard Haggstrom, P.E.

2
Blueprint Goals
  • 50 increase in trips by 2010
  • 50 decrease in fatality rates by 2010
  • Increased funding for bicycle pedestrian safety
    and mobility

3
Blueprint Pedestrian Safety Goal
4
Artifact of Two Inverse Compound Variables?
  • 1. Fatality Rate (RF)
  • RF Pedestrian Fatalities / Pedestrian Exposure
  • Pedestrian Fatalities / Ped Commuters
  • FP / CP
  • 2. Pedestrian Mode Share (MP)
  • MP Pedestrian Trips / All Trips
  • Ped Commuters / All Commuters CP / CA

5
Smeeds Law
Smeeds law fitted to data from 62 different
countries (from Adams 1985)
Deaths/(1000 Vehicles)
6
Hyperbole?
7
XYConstant?
8
Safety in Numbers for Vehicles?
9
Tentative Conclusion (1)
  • Safety In Numbers appears to be more sensitive to
    the specific formulation of the data than to the
    presence of inverse compound variables.

10
John Foresters Claim Mode Share and Improved
Safety both Caused by Other Factors
  • Climate
  • Local economy
  • Density
  • Land use
  • Cultural life
  • Social attitudes
  • Cyclist skill levels
  • Street design
  • Income levels

11
Conclusion (2)
  • Mathematical models can be useful even when
    causation has not (or cannot) be established
  • From a policy perspective, it is important to
    know that increased walking and bicycling is
    correlated with increased safety for those modes,
    whether causal or not.
  • It is necessary to expand and improve data
    collection on walking and bicycling.

12
Seamless TransportationMeasuring Bicycle and
Pedestrian Activity in San Diego County and its
Relationship to Land Use, Transportation, Safety,
and Facility Type
  • David Ragland, PhD, MPH
  • Michael Jones, MCP

13
2008 NHTS Add-On Survey
14
National Household Travel Survey2008 Add-on
Program
  • 18,000 Sample Size
  • Bike, ped and transit mode shares valid for
    counties and larger cities
  • Counts all trips, including combined trips, not
    just commute trips
  • Custom questions (compare DHS survey)
  • Data easily accessible by all users

15
Who Uses the Survey Data?
Consultants
Governments
15
22
Media
12
Interest Groups
Universities
17
34
Source National Household Travel Survey Data
Use An Overview Prepared by MacroSys Research
and Technology for the Bureau of Transportation
Statistics, 2005
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