1. ADOT’s Right Of Way Data Collection
Implementation Lessons Learned
AGIC September 22nd, 2017
Patrick Whiteford, GISP
Discuss our past system, what are we doing now, future plans. Also discuss lessons learned that will become best practices for the industry.

2. Overview ADOT Right-Of-Way History The Approach Methods
Return on Investment
Help for Other DOT’s
Lessons Learned
Future Plans 2

3. Bottom – Up Approach Initiated by the GIS user
Coordinated with the Right-Of-Way Group
Got management buy in
Resource dependent
The ROW group are non-GIS users

4. History of Right Of Way at Arizona DOT
Maintained in paper copies and archived on the ADOT website

5. History of Right Of Way at Arizona DOT
Online tool allows viewing of historic As Builds

6. History of Right Of Way at Arizona DOT
Dive down per highway by segment

7. History of Right Of Way at Arizona DOT
Digital copy of plan
Issue being that some of the plans are 40 years old in some areas. It is unlikely that the ROW is the same in these areas. This is what prompted me to make a geospatial file.

8. Method to the Madness Land Use Data Pro: Easy to integrate into GIS
Con: Land Use is not synonymous with ROW

9. Method to the Madness Board Resolutions Pro: Monthly updates
Con: Time consuming, not
as accurate as desired

10. Method to the Madness CADD Data Integration Pro: Survey grade, ease of
integration into GIS
Con: Data availability,
projection issues
Projection issues due to Ground – Grid factors

11. Method to the Madness GPS Field Data Pro: Survey grade, ease
of integration into GIS
Con: Data availability,
projection issues
Only available on specific locations for construction projects.

12. Method to the Madness Aerial Imagery Pro: Ease of integration into GIS
Con: Not survey grade and
not always clear boundaries

13. Method to the Madness E-Ramp Verification
Pro: Ease of integration into GIS
Con: Not survey grade and requires extensive research

14. Method to the Madness Construction Plans Pro: Close to survey grade
Con: Time consuming and dependent on document availability

15. Arizona DOT Data Model

16. Limitations
Not engineering grade accuracy – not taking the place of a surveyor
Assist with calculating DOT owned mileage
Assist with calculating what assets are within DOT ROW
Resource Heavy
CADD Data Integration

17. CADD Data Integration Issues with CADD data projections Use the GAF
Issue with the ground to grid conversion
Use the GAF (1/GAF) and input it into the transformation scale of the file. It should shift the file to the proper location.

18. Return on Investment What Value Does the ROW Feature Bring to ADOT?
Making the Case for ROW
Assist with Data Requests
Assist with Data Quality Checks
Statewide GIS feature
More Easily Answer Questions
Calculate state owned mileage
Quality check DOT ownership
Identify assets within DOT ownership
ROW is an asset

19. DOT Implementation Start getting management buy in Do your research
Have a plan of action
Involve the stakeholders
Implementing the Process
Repeatable, easy of update, data governance

20. Lessons Learned Importance of Coordination Add Temporality
Need for Process Automation
Need for GIS/ROW Group Cross Training

21. Future Plans Add Temporality Add Update Reasoning Attribution
Update CADD Standards
Completed 80% of ADOT
Owned Routes
Show ROW change through time
Have feature description of change (i.e. construction or BR)
Updating cadd standards will allow for geoprocessing based on layer type

22. Patrick Whiteford, MS, GISP Geospatial Analysis Section Manager
Questions?
Patrick Whiteford, MS, GISP
Geospatial Analysis Section Manager
Multimodal Planning Division