1. Monitoring and evaluation of walking and cycling interventions in Scotland Andy Cope Director, Research and Monitoring Unit Sustrans

2. Show you what we are doing – data collection and analysis Explain why we are doing it – in the context of SG KPIs Can others use our data sets? Can we use other data sets? Are there analytical processes that we can learn from? 0. Rationale (hidden)

3. Sustrans in Scotland… National Cycle Network Connect2 Active Travel School Travel Liveable Neighbourhoods … £3.5m in 2009/10 from Scottish Government 1. Context

4. Five distinct areas… Engineering Education Encouragement Enforcement and compliance Evaluation 2. KPI ‘sets’

5. Three distinct areas… Changes in usage on the National Cycle Network and other local cycling and walking networks Community and wider benefits Process monitoring 3. Evaluation KPIs

6. Five distinct indicators/targets… Trips on the NCN and NCN links increase 15% Of 15% increase in trips, 25% will be new users Increase usage on short links by 10% Increase commuting trips on the NCN by 15% 10% increase in active travel in intervention locations 4. Changes in usage on the NCN and other local cycling and walking networks

7. The resource consists of: Over 150 cycle counters that we know about Data from 34 analysed Non-parametric slope estimators 5. Data generated: cycle count data

8. Average change in the average daily count over a one year period = 13% 5. Data generated: cycle count data

10. 6. Data generated: Route User Survey

11. Route User Intercept Survey consists of: single location four 12-hour periods usually term time (one weekday and weekend day) and school holidays (one weekday and weekend day) Tackling the School Run variant - three weekdays and one weekend day during term time count of all users (age, mode and gender) next-to-pass interviews 16 RUSs conducted in 2008, 2009 6. Data generated: Route User Survey

13. Weaknesses… practical sampling statistical power validation translational But the strengths are replicability, deliverability, growing body of consistent evidence, increasingly robust in delivery context, useful as evidence 6. Data generated: Route User Survey

14. Distinct indicators each show increases in levels of activity on the National Cycle Network Automatic cycle counter data at 20 NCN sites show an annual average change of +6.3% This compares with growth in levels of cycling activity of +1.3% at 14 sites that are not on the NCN; and +4.5% across all of the sites for which data is available The number of trips made on the NCN increased from 28.3 million trips in 2007 to 31.3 million trips in 2008, a +10.6% increase Route User Survey data can be used to demonstrate changes in pedestrian usage: at Dumbarton, West Dunbartonshire, pedestrian usage increased by +240% following project delivery 7. KPI example: trips on the NCN

15. Several distinct indicators 20 counters show +6.3% per annum [+1.3% at 14 non NCN sites; +4.5% across all sites] NCN usage increased from 28.3 million trips in 2007 to 31.3 million trips in 2008, a +10.6% increase Positive case studies, e.g. +240% pedestrian usage increase at Dumbarton 7. KPI example: trips on the NCN

16. 8. Scotland Hands-Up Context Annual hands-up survey of school children in Scotland (began Sept 2008) providing national indicator of mode of travel Incorporated into Cycling Action Plan for Scotland Partnership project: Sustrans (Scotland team and R&MU) and STCs working in Local Authorities

17. Approach/method Sustrans provide materials for STCs who pass on to schools, local collation Survey asks about usual or normal mode of travel for the school journey – how do you normally travel to school Survey during a specified week each September Response options: –Walk - Driven –Cycle - Bus –Scooter/Skate - Taxi –Park & Stride - Other R&MU conduct overall collation, analysis and reporting 8. Scotland Hands-Up

18. Participation 32 Local Authorities across Scotland 2008 – 29 LAs participated, 1,824 schools and 396,337 pupils 2009 – 31 LAs participated, 1,939 schools and 417,474 pupils Response rate Calculated for participating Local Authorities only 2008 – 75.8% 2009 – 82.1%

19. 8. Scotland Hands-Up - Results YearWalkCycle Scooter/ skate Park& Stride DrivenBusTaxiOtherSample 200848.3%2.8%0.7%6.1%22.0%18.2%1.4%0.5%396377 200946.9%2.3%0.6%6.7%23.3%18.3%1.5%0.4%417474

20. WalkCycle Scooter / Skate Park & Strid e DrivenBusTaxiOther Primary200851.6%3.4%1.0%7.4%26.1%8.7%1.6%0.2% 200949.5%3.0%0.8%8.4%27.9%8.5%1.7%0.2% Secondary200842.8%1.6%0.2%3.6%12.7%37.2%1.0%0.9% 200942.6%1.2%0.2%3.5%14.3%36.2%1.2%0.9% Independent200827.2%1.9%0.6%7.1%42.4%18.3%0.4%2.0% 200922.6%1.6%1.0%6.3%53.1%14.3%0.2%0.9% SEN200813.5%1.5%0.0%4.5%6.8%47.4%26.3%0.0% 20094.3%0.2%0.0%0.2%7.3%54.1%33.9%0.0%

21. 8. Scotland Hands-Up - Results 49.8% of children surveyed travel to school in an active way, either by walking, cycling or using a scooter or skate board in 2009 compared to 51.8% in 2008 2.3% of all pupils cycle in 2009 compared to 2.8% of all pupils cycling in 2008 22.0% of all children are driven to school in 2008, this increases to 23.3% in 2009 A similar proportion of children took the bus in both years (18%)

22. Wider use of data sets? Alternative data sets? Analytical processes? Wider partnerships? 9. Our questions to TTSAC