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The Power of the Performance MetricGetting Your Jurisdiction Back on TrackMargot OcañasHerbie HuffMadeline Brozen         ...
Today’s Presentation•   Background•   Rationale: Why? What?•   The Team•   Metric Prioritization: The Process•   The “WIP”...
Background•   Health and Built Environment•   CPPW / RENEW LA•   Complete Streets Prototypes•   Challenges
The City of LA Context:• WHY performance metrics?• WHAT need do they fulfill?
The Team• RENEW LA (DPH)• Technical assistance coordinators  – Ryan Snyder Associates  – Complete Streets Program, UCLA• G...
What is your vision?Example: Health, equity, access to open spaceWho are your partners?Example: Bike CoalitionWhy?Because ...
The Parameters• How do you choose a metric?• What are the intended and unintended  consequences?
How did we organize our               thoughts?•   Metric – WHAT are we measuring?•   Data Elements – HOW do we measure it...
The Brainstorm – Trial and Error
The Brainstorm – Parks
Existing MetricsLevel of Service
What data is available?
Existing MetricsVehicle Miles Traveled
Think of an objective and a corresponding metric or two.Example objective: Most short trips made by walking and bikingExam...
Report organizationTransportation                 •Metric / What?    Safety                 •Data elements / How?         ...
Q: How many people live within a quarter mileof frequent and reliable transit service?• How:   – Frequent and reliable: at...
54 % of people do  not live within a  15-minute walk of  frequent and  reliable transit  service
Transit service and         income23 % of people in low in  areas do not live  within a 15-minute  walk of frequent and  r...
Transit Service, Income,100%                                              91%                                             ...
Q1: How many injuries and fatalities happen tocyclists and pedestrians?Q2: How does this distribution relate to how we tra...
2009 Fatalities by Mode for the City of Los Angeles                       150                                             ...
0.8% All Trips                             86.1%                                 12.0%                                    ...
Common Data Sources• Demographics                   • Health   – Block level census data       – 2007 Indicators for Healt...
Other places to look• Regional data• Schools  – Fitness data  – Mode share• Developers  –   Traffic volumes  –   Turning m...
What other data sources are out there?DISCUSSION TIME!
Let your data tell the story
Selling your product
What happens next?
Kick-starting the effort• Don’t wait – go for the low hanging fruit• Give yourself a time and/or budget limit• Learn from ...
http://lewis.ucla.edu/content/completestreets-publications
Margot OcañasPedestrian Coordinator, LADOTFormerly, LA County Public Health DepartmentMargot.Ocanas@lacity.org            ...
#92 The Power of the Performance Metric – Getting Your Jurisdiction Back on Track - Huff
#92 The Power of the Performance Metric – Getting Your Jurisdiction Back on Track - Huff
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#92 The Power of the Performance Metric – Getting Your Jurisdiction Back on Track - Huff

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#92 The Power of the Performance Metric – Getting Your Jurisdiction Back on Track - Huff

  1. 1. The Power of the Performance MetricGetting Your Jurisdiction Back on TrackMargot OcañasHerbie HuffMadeline Brozen Pro Walk Pro Bike 2012Chanda Singh Thursday, 9/13/12
  2. 2. Today’s Presentation• Background• Rationale: Why? What?• The Team• Metric Prioritization: The Process• The “WIP” Deliverable• Get Started!
  3. 3. Background• Health and Built Environment• CPPW / RENEW LA• Complete Streets Prototypes• Challenges
  4. 4. The City of LA Context:• WHY performance metrics?• WHAT need do they fulfill?
  5. 5. The Team• RENEW LA (DPH)• Technical assistance coordinators – Ryan Snyder Associates – Complete Streets Program, UCLA• Grantees – Green LA Coalition – Pacoima Beautiful• Community partners – LACBC – Community Health Councils
  6. 6. What is your vision?Example: Health, equity, access to open spaceWho are your partners?Example: Bike CoalitionWhy?Because they do bike counts and know the bike dataACTIVITY TIME!
  7. 7. The Parameters• How do you choose a metric?• What are the intended and unintended consequences?
  8. 8. How did we organize our thoughts?• Metric – WHAT are we measuring?• Data Elements – HOW do we measure it?• Objective – What’s the PURPOSE of measuring it?• Policy – What ACTIONS are implied?
  9. 9. The Brainstorm – Trial and Error
  10. 10. The Brainstorm – Parks
  11. 11. Existing MetricsLevel of Service
  12. 12. What data is available?
  13. 13. Existing MetricsVehicle Miles Traveled
  14. 14. Think of an objective and a corresponding metric or two.Example objective: Most short trips made by walking and bikingExample metric: Mode share split for trips under 3 milesHow would a decision maker interpret this?How does the metric lead to action?ACTIVITY TIME!
  15. 15. Report organizationTransportation •Metric / What? Safety •Data elements / How? •Objective / The Goal? •Policy implication / Why? EconomicsEnvironment
  16. 16. Q: How many people live within a quarter mileof frequent and reliable transit service?• How: – Frequent and reliable: at least every 15 minutes during the daytime + “15-minute map” – Census block population• Goal: – 75% of new development near transit• Why: – Sustainable growth, feasible option, physical activity requirements, biking and walking connections
  17. 17. 54 % of people do not live within a 15-minute walk of frequent and reliable transit service
  18. 18. Transit service and income23 % of people in low in areas do not live within a 15-minute walk of frequent and reliable transit service
  19. 19. Transit Service, Income,100% 91% Geographic Disparity90% 80%80%70% 62% 80 % of people in the60% Valley do not live50% LA Basin within a 15-minute walk of frequent and 38% Valley40%30% 20% reliable transit service20% 9%10% 0% Population Pop. Near Frequent Frequent Transit Stops Transit
  20. 20. Q1: How many injuries and fatalities happen tocyclists and pedestrians?Q2: How does this distribution relate to how we travel? • How: – SafeTREC TIMS – Census and NHTS modal splits • Goal: – Reduce fatalities and injuries by mode, population, travel, etc. • Why: – Create a safer environment for biking and walking
  21. 21. 2009 Fatalities by Mode for the City of Los Angeles 150 100% Fatalities 90% 125 Commute Trips 80% All Trips* 70% Percentage of Modal Split 100Number of Fatalities 60% 75 50% 40% 50 30% 20% 25 10% 0 0% Car Bike Walktrip data for Los Angeles MSA *all
  22. 22. 0.8% All Trips 86.1% 12.0% 1.1% 1.2%Commute 94.1% 3.7% Trips 0.9% Motor Vehicles* Walk Bicycle OtherCollisions 82.7% 10.3% 7.0%Fatalities 64.3% 33.5% 2.2% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  23. 23. Common Data Sources• Demographics • Health – Block level census data – 2007 Indicators for Health• Travel behavior Report (DPH) – National Household Travel • Other Survey (2009) – Center for Neighborhood – Ridership data (from Technology transit agency ) – City of Pasadena and – Bike / ped counts from Metro staff and reports advocacy group – Trust for Public Land City• Safety Park facts – Hit and run from PD – Intersection traffic volumes – TIMS – SWITRS
  24. 24. Other places to look• Regional data• Schools – Fitness data – Mode share• Developers – Traffic volumes – Turning movements – Speeds – Sidewalk inventory
  25. 25. What other data sources are out there?DISCUSSION TIME!
  26. 26. Let your data tell the story
  27. 27. Selling your product
  28. 28. What happens next?
  29. 29. Kick-starting the effort• Don’t wait – go for the low hanging fruit• Give yourself a time and/or budget limit• Learn from your peers• Intersection of research and practice – find yourself some interns!• Figure out what your jurisdiction is tracking already
  30. 30. http://lewis.ucla.edu/content/completestreets-publications
  31. 31. Margot OcañasPedestrian Coordinator, LADOTFormerly, LA County Public Health DepartmentMargot.Ocanas@lacity.org Herbie Huff Transportation Planner, Ryan Snyder Associates Herbie@rsa.ccMadeline BrozenProgram Manager, UCLA Complete Streets InitiativeMbrozen@publicaffairs.ucla.edu Chanda Singh Policy Analyst, LA County Department of Public Health Formerly, Ryan Snyder Associates csingh@ph.lacounty.gov

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