Presentation is loading. Please wait.

Presentation is loading. Please wait.

Influential factors in children’s school travel: Safe Routes to School and beyond Tracy E. McMillan, PhD, MPH University of Texas at Austin

Similar presentations

Presentation on theme: "Influential factors in children’s school travel: Safe Routes to School and beyond Tracy E. McMillan, PhD, MPH University of Texas at Austin"— Presentation transcript:

1 Influential factors in children’s school travel: Safe Routes to School and beyond Tracy E. McMillan, PhD, MPH University of Texas at Austin

2 The paradox of transportation in the late twentieth century is that while it became possible to travel to the moon, it also became impossible, in many cases, to walk across the street. –Joell Vanderwagen, 1995. “Coming down to earth,” in Zielinski, S. and Laird, G. (eds), Beyond the car, Steel Rail Press, Toronto, pp.137-139. Elementary School property


4 Children’s travel behavior and health Transportation Issues –Significant mode shift in school travel over the past few decades 1969: 87% of school trips < 1mi. walk/bike, 7% private auto 2001: 55% of school trips < 1mi. walk/bike, 36% private auto –Localized congestion/hazardous travel in school zone Ped/bike highest rate of injury/fatality on per mile basis compared to other modes of school travel –Burden on household Mothers are five times more likely to be transporting children than fathers Trip chaining

5 Health issues –Low rates of overall physical activity –Increase in age-adjusted prevalence of overweight From 4% in 1963-65 to ~15% in 1999 youth aged 6-11 Mexican-Americans and non-Hispanic blacks disproportionately represented in 12-19 age group –School trip important contributor to overall daily physical activity –Pedestrian injuries 2 nd leading cause of unintentional injury death for youth aged 5-14 20,000 non-fatal pedestrian injuries for this age group in 2001

6 Cost to the nation Heart disease: $193.8 billion (2001), health care & lost productivity Cancer: $189.5 billion (2003) Diabetes: $132 billion (2002)

7 Is the built environment to blame for changes in travel and health behavior/outcomes? What some research shows: guilty by “association” –Two broad characteristics of the pedestrian infrastructure associated with walking behavior Presence –Accessibility Quality –Safety –Security However, there are limitations to this research –Focus on adult behavior: their activities & destinations—does this transfer over to children? –Little understanding of the structural relationship between variables of influence—no causal path

8 The reality of influencing behavior It’s not as simple as we would like! –Not just tell them what’s best and they’ll do it –Not just build it and they’ll come –Dealing with multiple factors that we can affect directly and indirectly

9 Relative influence of built environment on children’s school travel Built environment does influence the probability of walk/bike to school –Two significant variables: mixed use & windows facing street –What wasn’t significant? Sidewalks Magnitude of influence of individual built environment variables was small However, the overall effect of built environment did help in the prediction of the walking trip to school

10 More influential factors on caregiver’s decision –Perceptions of neighborhood & traffic safety –Reported distance –Social/cultural norms –Parent’s attitudes & perceptions toward travel –Sociodemographics

11 Policy implications for SR2S Highlights the complexity of travel behavior Emphasizes the importance of correctly identifying problems before creating solutions Most cost-effective and equitable solutions for changing travel behavior may involve a multi-pronged approach (education, enforcement and engineering)

12 Policy implications for SR2S The “experience of place,” not just the structure of space, affects behavior Built environment may still have significant impact on cost of development if outcomes of inactivity are quantified

13 The California Safe Routes to School Program – Background and Evaluation Marlon G. Boarnet 1, Kristen Day 1, Craig Anderson 1, Tracy McMillan 2, Mariela Alfonzo 1 1 University of California, Irvine 2 University of Texas, Austin Funding: UC Transportation Center and Caltrans

14 SR2S Background Authorized by California AB 1475, 1999 Renewed by SB10, 2001 Renewed again by SB 1087, 2004

15 SR2S Background AB 1475 authorized setting aside 1/3 of California’s federal Surface Transportation Program safety funds for two years for the SR2S program Motivation – high profile pedestrian accidents Coalition of safety, school, non-motorized transportation advocates

16 SR2S Funding Projects funded at 90% / 10% state/local participation Projects capped at $450,000 of state (federal) funds Five cycles of projects funded so far –455 projects –$111.7 million in federal funds –$124.1 million total funds Average project funding: $273,000

17 SR2S Program Administered by the Division of Local Assistance within Caltrans Authorizing legislation required an evaluation by December, 2003, with funds for evaluation Legislative goals: –Increased pedestrian/bicycling safety near schools –Increased viability/frequency of walking/bicycling to schools SR2S was, first, a safety program

18 SR2S application Recent Caltrans brochure states that successful local applications highlight: How the proposal supports an existing traffic safety or health promotion plan. How the application has been developed through problem identification using a "walkability checklist" or other audit tool. Demonstrated understanding about how proposed engineering solutions interrelate to enforcement, education and other strategies. Evidence-based estimates regarding the impact of the proposed project – both risk reduction and health promotion.

19 SR2S evaluation Caltrans contract, pursuant to Streets and Highways Code 2333.5:$118,500 University of California Transportation Center:$162,614

20 Research Design Multiple Case Study Approach, 10 school sites Before/After evaluation –Traffic characteristics Vehicle counts, vehicle speed, yield to non- motorized traffic, walk/bicycling counts and on sidewalk/street –Urban Design –Survey of parents of 3 rd -5 th grade children Did child walk more after SR2S construction?

21 School Sites 16 Schools chosen, 10 completed SR2S construction by Fall, 2003 Schools chosen based on: –Elementary school (70% of Cycle I schools elementary) –Variation in urban/rural/suburban setting –Represent six SR2S work types –Willingness to be included in study –Fit with research window, April 2002 through Fall, 2003


23 Busy street proximate to Cesar Chavez Elementary School New traffic signal at Loveland Avenue and Jaboneria Road Cesar Chavez Elementary School

24 Glenoaks Boulevard before installation of crosswalk lighting system Glenoaks Elementary School New pedestrian-activated, in-pavement crosswalk lighting system on Glenoaks Boulevard

25 Decomposed granite pathway southeast from school along Morning View Drive Northwest view of Morning View Drive from Juan Cabrillo Elementary School New decomposed granite pathway near school Juan Cabrillo Elementary School

26 Adams Avenue before improvementAdams Avenue after sidewalk installation Murrieta Elementary School

27 New sidewalk at the San Pablo Dam Road and May Road intersection

28 SchoolCityMed HH income (zip code) % blocks w/ complete sidewalk Cesar ChavezBell Gardens$ 30,02994% GlenoaksGlendale$ 41,67436% JasperAlta Loma$ 66,66857% Juan CabrilloMalibu$100,85717% Mt VernonSan Bernardino $ 23,49863% Murrieta $ 61,494 8% NewmanChino$ 55,18586% SheldonEl Sobrante$ 61,49453% ValleyYucaipa$ 39,28622% West RandallFontana$ 35,00836%

29 SchoolCity% African- American (school) % Hispanic (school) Cesar ChavezBell Gardens0.2%99 % GlenoaksGlendale1.7 %18.5 % JasperAlta Loma7.3 %22.6 % Juan CabrilloMalibu0.6 %17 % Mt VernonSan Bernardino 9.3 %84.9 % Murrieta 7.6%22.9 % NewmanChino3.1 %56.4 % SheldonEl Sobrante26.3 %22.1 % ValleyYucaipa1.8 %24.1 % West RandallFontana1.7 %92.1 %

30 Evaluation: Compare Outcomes to Expected Effects SR2S Project TypeNumber of Schools Sidewalk Improvements5 Traffic Signal Improvements2 Crosswalk / Crosswalk Signal4 Bicycle Facilities1 Traffic Diversion0 Traffic Calming0 Note: Some school projects are more than one type.


32 Study Methods Before/After Construction Data Collection at Each School Observations/Data Collection: –Traffic Characteristics –Survey of Parents of 3 rd through 5 th Graders –Observe Urban Design within ¼ Mile of School

33 Traffic Observations Observations for two days before and after SR2S construction –30 minutes before start of school to 15 minutes after start of school –15 minutes before end of school to 30 minutes after end of school Teams of 3-4 observers

34 Traffic Observations Vehicle Counts Vehicle Speed (via stopwatch to time travel of car for pre-marked distance between landmarks – human error estimated in analysis) Yielding of Vehicles to Pedestrians/Bicyclists Pedestrian Counts and Locations (on street/path or shoulder/sidewalk) All data for 2-minute intervals – assess total and “peak/off-peak”

35 Parent Survey Distributed to parents of 3 rd -5 th grade children at all schools Before Construction Survey response rate ranged from 36% to 72% -- 51% response in full sample After Construction Survey response rate ranged from 23% to 57% -- 40% response rate in full sample 1,562 “before” surveys; 1,244 “after” surveys

36 Parent Survey How child normally travels to school Perceptions of safety Perceptions of urban design and child travel Attitudes Demographic characteristics Perceptions of traffic near school Perceptions of social/cultural norms about walking/bicycling Assessment of SR2S project

37 Urban Design Block by block assessment for ¼ mile around school Gives information on, e.g., –% of blocks with complete sidewalk –% of blocks with bike lanes –Average block length –Number of lanes in street –Paving treatments –Cul-de-sacs –Street trees

38 Evaluation Detailed data collection and analysis Project impact assessed by comparing “before” and “after” data Impact assessed relative to expected impact for each project Example: traffic light expected to improve yielding; sidewalk expected to change location and amount of walking

39 How to Assess SR2S project effectiveness Amount of walking Yielding of cars to non-motorized travelers Location of walking (on or off sidewalk) Vehicle speeds For all of above, consider expected and measured impact of the project – a traffic light would have different expected effects than a sidewalk

40 Sidewalk Gap Closure Results School# Walk Before # Walk After % on Street Before % on Street After T-stat Sheldon13815266%35%5.55 Valley648942%4%6.79 West Randall 692114675%5%39.23

41 Sheldon: Average Vehicle Speeds on San Pablo Dam Road

42 Sheldon: Safety Advantage from Shift of Walking to Sidewalk San Pablo Dam Road after sidewalk improvement San Pablo Dam Road before sidewalk improvement

43 Traffic Control Device Results School% Yield (number) Before % Yield (number) After T-stat Cesar Chavez 95.42% (584) 100% (205) 5.42 Newman94.86% (277) 99.62% (265) 3.44

44 Another Looking at Walk/Bike Travel and SR2S “After Construction” survey asked Would you say that your child now walks or bicycles to school: a.Less than before the project described above was built. b.The same amount as before the project was built. c.More than before the project was built.

45 Sort by Whether SR2S Project Along Route to School Survey asked if project was along child’s usual route to school 52% of parents said “yes”; 48% said “no” Star indicates location of elementary school; Circle represents portion of neighborhood included in the study (approx. ¼ mile radius from the elementary school)

46 After Construction Data 1244 returned “after construction” surveys from 10 schools School response rates varied from 23% to 54% Full Sample Response Rate: 40%

47 Results, by School % Walk More Diff t- statisticn Along RouteNot Along Route Cesar Chavez20.59%6.15%14.43%2.52151 Glenoaks12.00%7.69%4.31%0.76126 Jasper3.13%0.00%3.13%1.0257 Juan Cabrillo6.67%0.00%6.67%1.0432 Mt. Vernon19.05%5.71%13.33%1.8587 Murrietta13.73%2.38%11.34%2.12101 Newman10.94%0.00%10.94%2.80101 Sheldon15.63%0.00%15.63%2.4362 Valley11.59%0.00%11.59%3.0197 West Randall28.57%7.41%21.16%3.15139


49 Summary Evidence that Outcomes Corresponded to Expectations for 5 of 10 schools –Consistent evidence –Exceeds standard error or human error range –Magnitude large (excludes Murrieta) Criterion is measurable, near-term impact, and so excludes: –Increases in awareness/caution –Long-term infrastructure program progress

50 Summary, Patterns from Evaluation Among 5 sidewalk gap closure projects, 3 had evidence of success –Primary success was moving walking off street/curb The two traffic signal projects increased vehicle yielding Crosswalk and crosswalk signal projects – no evidence, likely because success is more caution, which is difficult to measure

51 Characteristic of Successful Projects In areas with pre-existing non-motorized travel to school in unsafe conditions Closing sidewalk gaps in areas where students walk is a good example Controlling vehicle speed or increasing driver awareness / caution Some projects were initial investment in infrastructure (e.g. 8% of blocks around Murrieta Elementary had complete sidewalk before SR2S.)

52 Federal SRTS program Passed in August 2005 Dedicates $612 million to SRTS from 2005- 2009 Distribution of funds to states based on student enrollment –Each state will receive at least $ 1 million/yr –

53 Creates SRTS program in every state DOT –Requires hiring of a full-time SRTS coordinator Kristie Billiar, MN DOT Targets grades K-8

54 Legislation also required development of clearinghouse/repository for SRTS activities National Center for SRTS –Based at Highway Safety Research Center at UNC- Chapel Hill –Collaboration of many partners – Federal SRTS Task Force also required & currently being formed

55 Focus on 5 E’s Engineering Education Enforcement Encouragement Evaluation –Each state must allocate at least 10% of total funds (but no more than 30%) to non-infrastructure activities

56 Urban Form - Neighborhood safety - Traffic Safety - Household transportation options - Social/cultural norms - Attitudes - Socio-demographics Parental decision- making Children’s travel behavior (trip to school ) Mediating factorsModerating factors X Intervention point Proximal evaluation point Intermediate evaluation point Change in health outcomes Distal evaluation point

57 Increasing the focus on children’s school travel in our communities 1)Policy/regulation Model language in comprehensive/general plans, ordinances, etc

58 General Plan Language Real Examples: –City of Los Angeles has a bicycle plan as part of the transportation element of their general plan – for establishing a bicycle network –Minneapolis Bicycle Plans –Minneapolis General Plan “Minneapolis will continue to build, maintain and require a pedestrian system which recognizes the importance a network of private and public sidewalks which achieve the highest standards of connectivity and amenity.”

59 Minneapolis General Plan Require the most generous sidewalk width possible for public sidewalks located in high pedestrian volume areas, such as existing growth centers, neighborhood commercial areas, transit corridors and mixed use areas. Ensure that all sidewalk standards meet ADA requirements as mandated by law. Promote the development of design standards that produce high quality sidewalks for public and private sector development, with supporting street furniture (including street trees), ample widths for pedestrian traffic and transit loading, and the use of materials thatrequire acceptable levels of maintenance. Encourage all new developments to situate their front doors so that they open onto the public sidewalk.

60 What is Missing? Schools Hypothetical Examples: –Mention of school siting and pedestrian / bicycle transportation network near schools in community plans

61 Increasing the focus on children’s school travel in our communities 2) Comprehensive, continuous and coordinated planning –between the school district, the local municipalities and other stakeholders (e.g., local health department) –addressing school siting, changing demographics in the community, externalities of school location, etc.

62 Increasing the focus on children’s school travel in our communities 3) Education/awareness the public, stakeholders in the community, etc.

Download ppt "Influential factors in children’s school travel: Safe Routes to School and beyond Tracy E. McMillan, PhD, MPH University of Texas at Austin"

Similar presentations

Ads by Google