Traffic Safety Barriers to Walking and Bicycling Analysis of CA Add-On Responses to the 2009 NHTS

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1 Traffic Safety Barriers to Walking and Bicycling Analysis of CA Add-On Responses to the 2009 NHTS NHTS Users Conference June 2011 Robert Schneider, Swati Pande, & John Bigham, University of California Berkeley Safe Transportation Research & Education Center (SafeTREC)

2 Community Goals vs. Perceived Pedestrian & Bicycle Safety Barriers Goal: Increase walking & bicycling If there was less traffic I would probably walk even more. --Male, Age 30, San Francisco Fillmore Street Bicycling itself I would do it if I wasn t right up next to cars. --Female, Age 52, South SF Goal: Improve pedestrian & bicycle safety There are definitely certain intersections that I m very cautious about because I have seen drivers do crazy things --Female, Age 52, South SF Sometimes I feel scared for [bicyclists] sometimes it is very hard to see them and sometimes they have no protection. --Male, Age 30-39, Berkeley

3 Community Goals vs. Perceived Pedestrian & Bicycle Safety Barriers Goal: Increase walking & bicycling If there was less traffic I would probably walk even more. --Male, Age 30, San Francisco Fillmore Street Bicycling itself I would do it if I wasn t right up next to cars. --Female, Age 52, South SF Goal: Improve pedestrian & bicycle safety There are definitely certain intersections that I m very cautious about because I have seen drivers do crazy things --Female, Age 52, South SF Sometimes I feel scared for [bicyclists] sometimes it is very hard to see them and sometimes they have no protection. --Male, Age 30-39, Berkeley

4 Community Goals vs. Perceived Pedestrian & Bicycle Safety Barriers Goal: Increase walking & bicycling If there was less traffic I would probably walk even more. --Male, Age 30, San Francisco Fillmore Street Bicycling itself I would do it if I wasn t right up next to cars. --Female, Age 52, South SF Goal: Improve pedestrian & bicycle safety There are definitely certain intersections that I m very cautious about because I have seen drivers do crazy things --Female, Age 52, South SF Sometimes I feel scared for [bicyclists] sometimes it is very hard to see them and sometimes they have no protection. --Male, Age 30-39, Berkeley

5 What Factors are Associated with Perceived Pedestrian & Bicycle Safety Barriers?

6 2009 NHTS California Supplement All people N = 47,559 (in 21,225 households) Person File

7 2009 NHTS California Supplement All people N = 47,559 (in 21,225 households) Walked 1+ times during week N = 29,894 Person File

8 2009 NHTS California Supplement All people N = 47,559 (in 21,225 households) Walked 1+ times during week N = 29,894 Answered walk barriers N = 23,105 Person File

9 2009 NHTS California Supplement All people N = 47,559 (in 21,225 households) Person File Walked 1+ times during week N = 29,894 Answered walk barriers N = 23,105 Biked 1+ times during week N = 5,175

10 2009 NHTS California Supplement All people N = 47,559 (in 21,225 households) Person File Walked 1+ times during week N = 29,894 Answered walk barriers N = 23,105 Biked 1+ times during week N = 5,175 Answered bike barriers N = 3,073

11 2009 NHTS California Supplement: Please tell me if any of the following keep you from doing more walking Too busy Not enough light Too many things to carry No shops or interesting places to go No nearby paths or trails No one to walk with Poor health No nearby parks Fast traffic No sidewalks Fear street crime Too many cars Street crossings unsafe Traveling with small children Air pollution N = 23,105 (could choose more than 1) Not enough people around Streets too wide 0% 2% 4% 6% 8% 10% 12% 14% Percent of respondents who answered walking barriers questions

12 2009 NHTS California Supplement: Please tell me if any of the following keep you from doing more walking Too busy Not enough light Too many things to carry No shops or interesting places to go No nearby paths or trails No one to walk with Poor health No nearby parks Fast traffic No sidewalks Fear street crime Too many cars Street crossings unsafe Traveling with small children Air pollution Traffic Safety Factor (8.1% of variance) Not enough people around Streets too wide 0% 2% 4% 6% 8% 10% 12% 14% Percent of respondents who answered walking barriers questions

13 2009 NHTS California Supplement: Please tell me if any of the following keep you from doing more walking Too busy Not enough light Too many things to carry No shops or interesting places to go No nearby paths or trails No one to walk with Poor health No nearby parks Fast traffic No sidewalks Fear street crime Too many cars Street crossings unsafe Traveling with small children Air pollution Proximity Factor (6.3% of variance) Not enough people around Streets too wide 0% 2% 4% 6% 8% 10% 12% 14% Percent of respondents who answered walking barriers questions

14 2009 NHTS California Supplement: Please tell me if any of the following keep you from doing more walking Too busy Not enough light Too many things to carry No shops or interesting places to go No nearby paths or trails No one to walk with Poor health No nearby parks Fast traffic No sidewalks Fear street crime Too many cars Street crossings unsafe Traveling with small children Air pollution Security Factor (6.2% of variance) Not enough people around Streets too wide 0% 2% 4% 6% 8% 10% 12% 14% Percent of respondents who answered walking barriers questions

15 2009 NHTS California Supplement: Please tell me if any of the following keep you from doing more walking Too busy Not enough light Too many things to carry No shops or interesting places to go No nearby paths or trails No one to walk with Poor health No nearby parks Fast traffic No sidewalks Fear street crime Too many cars Street crossings unsafe Traveling with small children Air pollution Effort Factor (6.2% of variance) Not enough people around Streets too wide 0% 2% 4% 6% 8% 10% 12% 14% Percent of respondents who answered walking barriers questions

16 2009 NHTS California Supplement: Please tell me if any of the following keep you from doing more biking Too busy Fast traffic Not enough light Too many cars Not enough bike lanes Street crossings unsafe No nearby paths or trails Too many things to carry No sidewalks No one to bike with Traveling with small children No shops or interesting places to go Air pollution Fear street crime N = 3,073 (could choose more than 1) Poor health Not enough people around 0% 2% 4% 6% 8% 10% 12% 14% Percent of respondents who answered bicycle barriers questions

17 2009 NHTS California Supplement: Please tell me if any of the following keep you from doing more biking Too busy Fast traffic Not enough light Too many cars Not enough bike lanes Street crossings unsafe No nearby paths or trails Too many things to carry No sidewalks No one to bike with Traveling with small children No shops or interesting places to go Air pollution Fear street crime Traffic Safety Factor (8.4% of variance) Poor health Not enough people around 0% 2% 4% 6% 8% 10% 12% 14% Percent of respondents who answered bicycle barriers questions

18 2009 NHTS California Supplement: Please tell me if any of the following keep you from doing more biking Too busy Fast traffic Not enough light Too many cars Not enough bike lanes Street crossings unsafe No nearby paths or trails Too many things to carry No sidewalks No one to bike with Traveling with small children No shops or interesting places to go Air pollution Fear street crime Social Factor (7.0% of variance) Poor health Not enough people around 0% 2% 4% 6% 8% 10% 12% 14% Percent of respondents who answered bicycle barriers questions

19 2009 NHTS California Supplement: Please tell me if any of the following keep you from doing more biking Too busy Fast traffic Not enough light Too many cars Not enough bike lanes Street crossings unsafe No nearby paths or trails Too many things to carry No sidewalks No one to bike with Traveling with small children No shops or interesting places to go Air pollution Fear street crime Facilities Factor (6.8% of variance) Poor health Not enough people around 0% 2% 4% 6% 8% 10% 12% 14% Percent of respondents who answered bicycle barriers questions

20 Dependent Variables Walk Traffic Safety Barrier factor score Too many cars Street crossings unsafe Fast traffic Streets too wide Air pollution Bicycle Traffic Safety Barrier factor score Fast traffic Street crossings unsafe Too many cars Not enough light Have enough time

21 What Characteristics are Associated with Perceived Pedestrian & Bicycle Safety Barriers? Traffic Safety Factor for each Respondent

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25 What Characteristics are Associated with Perceived Pedestrian & Bicycle Safety Barriers? Traffic Safety Factor for each Respondent Roadway System & Design Land Use & Surrounding Environment Reported Crashes Travel Behavior Individual & Household

26 What Characteristics are Associated with Perceived Pedestrian & Bicycle Safety Barriers? Traffic Safety Factor for each Respondent Roadway System & Design Land Use & Surrounding Environment Reported Crashes Travel Behavior Individual & Household Transportation agency roadway base layers

27 What Characteristics are Associated with Perceived Pedestrian & Bicycle Safety Barriers? Traffic Safety Factor for each Respondent Roadway System & Design Land Use & Surrounding Environment Reported Crashes Travel Behavior Individual & Household Census, Bike & Walk Friendly Communities

28 What Characteristics are Associated with Perceived Pedestrian & Bicycle Safety Barriers? Traffic Safety Factor for each Respondent Roadway System & Design Land Use & Surrounding Environment Reported Crashes Travel Behavior Individual & Household California SWITRS Reported Crash Database

29 What Characteristics are Associated with Perceived Pedestrian & Bicycle Safety Barriers? Traffic Safety Factor for each Respondent Roadway System & Design Land Use & Surrounding Environment Reported Crashes Travel Behavior Individual & Household National Household Travel Survey

30 Linear Random-Intercept Model Explanatory variables and associated parameters

31 Linear Random-Intercept Model Unobserved correlated error between people in the same household (normal)

32 Linear Random-Intercept Model Unobserved error across all people (normal)

33 Linear random intercept model for 2009 CA NHTS survey respondents 1 Variable Parameter Est. p-value Constant Major road miles within 100 m Local street miles within 400 m Population within 400 m Walked for recreation only Number of walking trips in previous week Male White Number of children in household under age Is an automobile driver Medical condition preventing travel Lower household income (< $30,000/yr) Roadway & Land Use Travel & Socioeconomic Random Effects Household-level error standard deviation 0.34 Person-level error standard deviation 0.92 Overall Model Sample Size (Number of people) Sample Size (Number of households) Log-Likelihood (Constant) Log-Likelihood (Restricted Model) 2 Log-Likelihood (Full Model) Linear Random- Intercept Model (15836 households people) Pedestrian Traffic Safety Barriers Factor

34 Characteristics Associated with Perceived Pedestrian Traffic Safety Barriers Roadway System & Design Land Use & Surrounding Environment Reported Crashes Travel Behavior Individual & Household (+) Population density *** (+) Major roads *** (-) Local streets *** Statistical significance: *** (p < 0.01) ** (0.01 < p < 0.05) * (0.05 < p < 0.10)

35 Characteristics Associated with Perceived Pedestrian Traffic Safety Barriers Roadway System & Design Land Use & Surrounding Environment Reported Crashes Travel Behavior Individual & Household (+) Major roads *** (-) Local streets *** (+) Population density *** Statistical significance: *** (p < 0.01) ** (0.01 < p < 0.05) * (0.05 < p < 0.10) (+) More walk trips ** (-) Walk rec. only *** (+) Number of kids *** (+) Disability *** (+) Low income *** (-) Male *** (-) White *** (-) Driver ***

36 Linear random intercept model for 2009 CA NHTS survey respondents 1 Variable Parameter Est. p-value Constant Major road miles within 100 m Local street miles within 400 m Population within 400 m Household is in a Bicycle Friendly Community Bicycled for recreation only Number of bicycling trips in previous week Male White Medical condition preventing travel Roadway & Land Use Travel & Socioeconomic Random Effects Household-level error standard deviation 0.31 Person-level error standard deviation 0.94 Overall Model Sample Size (Number of people) 3073 Sample Size (Number of households) 2570 Log-Likelihood (Constant) Log-Likelihood (Restricted Model) Log-Likelihood (Full Model) ) Th d d t i bl i th d l i th bi l t ffi f t b i f t Linear Random- Intercept Model (2570 households, 3073 people) Bicycle Traffic Safety Barriers Factor

37 Characteristics Associated with Perceived Bicycle Traffic Safety Barriers Roadway System & Design Land Use & Surrounding Environment Reported Crashes Travel Behavior Individual & Household (+) Population density * (+) Major roads * Statistical significance: *** (p < 0.01) ** (0.01 < p < 0.05) * (0.05 < p < 0.10)

38 Characteristics Associated with Perceived Bicycle Traffic Safety Barriers Roadway System & Design Land Use & Surrounding Environment Reported Crashes Travel Behavior Individual & Household (+) Major roads * (+) Population density * Statistical significance: *** (p < 0.01) ** (0.01 < p < 0.05) * (0.05 < p < 0.10) (-) More bike trips (-) Bike rec. only ** (+) Disability (-) Male *** (-) White *

39 What about the relationship between reported crashes & perceived traffic safety risk? Roadway System & Design Land Use & Surrounding Environment Reported Crashes Travel Behavior Individual & Household?????

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41 La Jolla El Cajon San Diego Neighborhoods

42 La Jolla El Cajon San Diego Neighborhoods

43 La Jolla El Cajon San Diego Neighborhoods

44 Downtown San Diego Coronado Chula Vista

45 Downtown San Diego Coronado Chula Vista

46 Conclusions NHTS travel behavior & socioeconomic data improves understanding of traffic safety barriers and suggests comprehensive set of interventions Major roadways, population density slower automobile speeds, mode shift strategies Utility travel, more walk trips, fewer bike trips Complete Streets for all modes Disabilities, female, minority, low-income, more kids accessibility improvements, Safe Routes to School, targeted education & encouragement

47 Considerations & Future Research Greater understanding of barriers to people who already walk & bike, but not people who don t Not all major roads are alike Could analyze respondent tours Could ask more detailed questions about traffic safety barriers instead of factor analysis Need more research on perceived vs. actual pedestrian & bicycle safety risk

48 Questions & Answers

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53 Contact Information: Robert Schneider, Ph.D. UC Berkeley SafeTREC