The document discusses ParkServe, an initiative by The Trust for Public Land to map parks and measure park access for urban areas in the United States. ParkServe aims to map parks and park access for all US urban areas and census places by May 2018. It will summarize park access for over 80% of Americans. The document outlines ParkServe's components: data collection, creation, loading, modeling and verification. It discusses strategies for large-scale data collection and automation, including taking an iterative approach and evolving the data model as needed. Challenges mentioned are building everything from scratch and balancing speed vs efficiency in workflow.

1. The ParkServe™ Team – September 2016
Strategies and Tips for
Large Scale Data Collection
and Automation
The Trust for Public Land’s ParkServeTM

2. 5/17/2016
Presentation Agenda
Overview: The Trust for Public Land
as an organization
Context: ParkScore® and
ParkServe™
Strategies and Tips: Collection,
Creation, Loading and Modeling
Conclusions: Best Practices,
Roadblocks and Limitations
1
2
3
4

3. Our Mission
The Trust for Public Land creates parks and protects land for people,
ensuring healthy, livable communities for generations to come.

5. The Trust for Public Land’s ParkScore®

7. • Taking
ParkScore®
to scale
• Focuses on
park
accessibility
metric for all
urban areas
in the US
What is ParkServe™?

8. By May 1, 2018 ParkServe aims to map parks and park access for:
• All 3,573 US Census 2010 defined Urban Areas-Urban Clusters
– 13,931 US Census 2010 places (including 12,762 Cities)
– 2,494 of 3,143 US counties (70%)
ParkServe at 100% would summarize 10 minute walk park access
for:
– Over 80% of Americans
– Over 80% of American households earning less than $35,000 per year
– Over 90% of all persons of color
What is ParkServe™?
Based on 2015 US Population Estimates—284,301,095 people live within Block Groups intersecting Urban Area-Urban Cluster areas of 318,536,439 total US population (Sources: US Census
Bureau 2010 Census Urban Areas and Place boundaries, and Esri, Inc. Business Analyst 2015 Demographic Dataset).

9. What is ParkServe™?
4 Components of Completion
1. Data Collection
2. Data Creation
3. Data Loading & Preliminary Modeling
4. Data Verification & Final Modeling
Iterative Approach to Completion

10. ParkServeTM Collection

11. ParkServeTM Collection

12. ParkServeTM Data Creation

13. ParkServeTM Reporting

14. ParkServeTM Reporting

15. ParkServeTM Data Loading

16. ParkServeTM Modeling

17. ParkServeTM Data Verification

18. • Data Model Evolution
– Start simple and add complexity as necessary
• Data Collection Workflow
– More testing/development before scaling up
– Speed/Progress vs. Efficiency
• Complex automation
– Everything built from scratch
– Learning process for whole team
ParkServeTM Roadblocks and Limitations

19. The ParkServe™ Team – September 2016
Thank you!
Emmalee Dolfi
Emmalee.dolfi@tpl.org
Holly Winscott
Holly.winscott@tpl.org