Cycling Activity. ACT Canada - Sustainable Mobility Summit 2010

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1 Cycling Activity Monitoring Tools ACT Canada - Sustainable Mobility Summit 2010 November 24, 2010

2 Cycling Index Methodology Trends Presentation Overview Origin Destination Survey Ottawa s Bicycle User Profile Automated Bicycle Counters Weather Time Period / Seasonal Fluctuations 2

3 Cycling Index Overview 326 total count locations 9 districts 35 locations per district Intersection Count Program Screenline Count Program Annual report Developed in 2004 Data from 1995 onward 3

4 Cycling Index Methodology Annual spring / summer traffic count program 8 hour weekday counts (7:00am 10:00am, 11:30am 1:30pm, 3:00pm 6:00pm) Mostly Intersections few off road locations No rural location Limitations & Challenges: Peak period commuter data Off road paths under represented Data Collection Weather & road conditions move/future/monitoring/cycling_index 4

5 Cycling Index Methodology Condition Ratings are recorded for every count! 3 Dry Pavement & No Road Restrictions 2 Dry Pavement & Road Restrictions 1 Wet Pavement 0 Other Factors 5

6 Cycling Index Trends 326 potential count locations 257 count locations in

7 Cycling Index Trends Downtown Inside Greenbelt Outside Greenbelt 7

8 Cycling Index Trends 2006 Census Ottawa % Vancouver 1.7% Montreal 1.6% Calgary 1.3% Edmonton 1.1% Toronto 1.0% Victoria 5.6% 8

9 Origin Destination Survey Overview 9

10 So, do you live alone? Excuse me!?! Can you confirm your address? I d like to know everywhere you ve been yesterday why, when and how you got there They already know about this. But don t hang up! You ve got to understand how important this is!! What!?! Who the heck is this!?! I m gonna call the police! 10

11 Origin Destination Key Bicycle Findings GENERAL OBSERVATIONS Approximately 37,100 bicycle trips per day INSIDE GREENBELT MODE SHARE Bicycle 2.4% Walk 13.0% Transit 22.8% Auto 57.6% Other Mode 4.2% trans rcn.ca 11

12 DAILY BICYCLE TRIPS BY DISTANCE Origin Destination Key Bicycle Findings 0 to to 5.0 Distance Travelled per Trip (km) 5.0 to to to to % 10% 20% 30% 40% 50% 60% Percentage of Bike Trips trans rcn.ca 12

13 DAILY BICYCLE TRIPS BY AGE GROUP Origin Destination Bicycle User Profile Group Age % 5% 10% 15% 20% 25% 30% % of Daily Bike Trips trans rcn.ca 13

14 DAILY BICYCLE TRIPS BY GENDER Origin Destination Bicycle User Profile 100% 80% 60% Male 49% Male 72% 40% 20% 0% Female 51% Female 28% All Mode Trips Bicycle Trips trans rcn.ca 14

15 Origin Destination Bicycle User Profile DAILY BICYCLE TRIPS BY OCCUPATION STATUS Full time Worker Student Retiree Part time Worker Other Homemaker 0% 10% 20% 30% 40% 50% 60% % of Daily Bike Trips trans rcn.ca 15

16 AM PEAK PERIOD BICYCLE TRIP PURPOSE Pick up/ Drop off 2% Personal and Leisure Other 1% 2% Return Home 2% Origin Destination Bicycle User Profile PM PEAK PERIOD BICYCLE TRIP PURPOSE Work School Pick up/ 3% 1% Shopping 4% Shopping Pick up/ 1% Drop off 3% Leisure School 6% 26% Personal and Work 66% Return Home 76% Other 7% trans rcn.ca 16

17 Automated Bicycle Counters A means of continuously tracking every bicycle trip, all year, at a limited number of sites Adds detail on actual impacts of weather and timing (weekof year, day of week) on cycling rates 17

18 Automated Bicycle Counters In Ottawa (Current & Planned) All- Season counters On-road bike lanes Pathways or Bike Tracks Sussex Plan: 2012 Laurier SBL proj Plan: 2011 Alexandra Bridge Start: June/09 Portage Bridge Planned Plan: Q Colonel o By Pathway ay Start: Feb/10 Existing (as of 2010) Ottawa River Pathway Start: Mar10 Somerset Plan: Q A joint project by local cycling advocacy group, (Citizens for Safe Cycling), the National Capital Commission, the City of Ottawa and with funding support from TELUS 18

19 2010 Bike Counts Ottawa River Pathway Colonel By Pathway Week s per W Bikes Feb1 < week > Nov1 19

20 Expansion Factors for Cycling Weekday Hourly Expansion Factors Ottawa Montreal Daily Expansion Factors Ottawa Montreal Prominent daily commuting peaks Relatively flat across the work week 20

21 Expansion Factors for Cycling Monthly Expansion Factors 0.6 Ottawa Observations: Data provides a method to estimate Modal Share per month Yearly Expansion factor estimated for 2005 O/D survey as Montreal 21

22 Quantifying Weather Impacts The response to weather by Ottawa cyclists can be modeled based on daily counter data Strong correlation between daily weather & cycling levels across counters Year over year cycling trends can be normalized for weather Changes in weather hardiness of Ottawa cyclists can be tracked as an independent cycling trend component 22

23 Next Steps Grow the counter network to improve sampling and increase geographic coverage Annual Counts Number of Counters Trips Counted 220, , M 2M+ Sampling (% of all Bike Trips) <2% 5 10% 10 15% 20%+ Refine analysis methodology for weather and temporal trends (day of week, week of year) Compare analysis methodology and conclusions with other cities collecting bike counter data sets A joint research project with Dr. L.F. Miranda-Moreno at the McGill University luis.miranda-moreno@mcgill.ca (welcomes interest from other cities) 23

24 Thank You For more information.. Colin Simpson, MCIP, RPP Sr. Project Mgr, Transportation Planning City of Ottawa Zlatko Krstulich Planner, Transportation Planning City of Ottawa

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