Policy Framework - Jacksonville Transportation Authority

103rd St
Garden St
Crystal Springs Rd
Prichard Rd
Collins Rd
Wilson Blvd
Dunn Ave
Park St
San Juan Blvd
Kingsley Ave
Bowden Rd
Arlington Expy
Zoo Parkway
Old St Augustine Rd
Southside Blvd
Baymeadows Rd
Heckscher Dr
J Turner Butler
Beach Blvd
City of Jacksonville
Policy Framework for Transit-Oriented Development
Rapid Fixed- Transit Corridors
Rapid A
95
Rapid B
Rapid C
Ye low Blu f Rd
Rapid D
Rapid E
Starre t Rd
Rapid F
Lem Turner Rd
Rapid G
New Berlin Rd
1
295
F
9A
E
G
Kings Rd
B
Monument Rd
Beaver St
90
Atlantic Blvd
A
Atlantic Blvd
10
Normandy Blvd
17
St Johns River
C
295
9A
San Jose Blvd
D
95
Old Middleburg Rd
Hood Rd
1
17
95
0 5
Miles
Where Do People Live and Work Today?
A-4 | Appendix A: Analysis of TOD Potential
Figure 2: Rapid Fixed Transit Corridors
To understand potential for the future, a detailed examination of the present was needed. An analysis was
conducted to develop an understanding of where people live and work in the transit corridors and at what
densities. This picture of current development is called a ‘virtual present.’ This snapshot provides the baseline
against which a virtual TOD ‘future’ can be envisioned.
The steps to build a virtual present involved first classifying the existing land uses. The GIS parcel database for
Jacksonville was the primary source of land use data. A half-mile buffer of all premium fixed route transit, as
well as high frequency transit station areas, was used to clip parcels and select them for analysis. Clipping is a
process of using GIS to extract one area from another, in this case the 1/2 mile area was used to extract parcels
that matched its coverage. These clipped study area parcels, depicted by the buffer areas in Figure 3, represent
67,672 acres, or 15% of land in Jacksonville. Traffic Analysis Zones (TAZ) from the regional travel demand
forecasting model contain the jobs and housing data studied. Parcel-level information, TAZs and planned
fixed route transit GIS data were the three primary data sources used to evaluate what exists today.
Real-estate parcel data contains Department of Revenue (DOR) land use code classifications, as shown
in Figure 4. DOR classifications can be grouped into generalized land use categories such as residential or
employment uses. These classifications inform us where people currently live and work, while a different set
of data is examined to inform us of how many live there. Using GIS, the household and job totals from a
TAZs are disaggregated and associated with parcels identified with an existing residential or employment land