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Okaloosa County BOCC — August 16, 2016 — Access EC Rider TDP - August Draft Report — reading text
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travel on common corridors
experience decreases in service utilization. Conversely, routes that are synchronized and support
each other in terms of service to major destinations or transfer locations and schedule benefit from
that complementary relationship.
The following section outlines the model input and assumptions, includes a description of the TBEST
scenario performed using the model, and summarizes the ridership forecasts produced by TBEST.
Model Inputs/Assumptions and Limitations
TBEST uses various demographic and transit network data as model inputs. The inputs and the assumptions
made in modeling the EC Rider system in TBEST are presented below. The EC Rider model used the
recently-released TBEST Land Use Model structure (TBEST Land Use Model 2016), which is supported by
parcel-level data developed from the Florida Department of Revenue (DOR) statewide tax database. The
DOR parcel data contains land use designations and supporting attributes that allow the application of
Institute of Transportation Engineers (ITE)-based trip generation rates at the parcel level as an indicator of
travel activity.
It should be noted, however, that the model is not interactive with roadway network conditions. Therefore,
ridership forecasts will not show direct sensitivity to changes in roadway traffic conditions or speeds.
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Section 7: Demand and Mobility Assessment
Transit Network
The transit route network for all existing EC Rider routes was created to reflect 2015 conditions, the
validation year for the model. The transit network for Okaloosa County was available in TBEST; however,
the system was not current, so data received from the transit agency were used to update the model. Data
include:
Current service span
Existing headways during off-peak season (frequency at which a bus arrives at a stop—e.g., 1 bus
every 60 minutes)
Passenger travel times on board a bus
Special generators
Observed average daily ridership
Demographic Data
The demographics used as the base input for the TBEST model were derived from Census 2010 geography
and population characteristics, ACS Five-Year Estimates (2009–2013), 2015 InfoUSA employment data, and
2015 parcel-level land use data from the Florida DOR. Using the data inputs listed above, the model
captures market demand (population, demographics, employment, and land use characteristics) within ¼
mile of each stop.
Population and Employment Growth Rates
TBEST uses a socio-economic data growth function to project population and employment data. A
population growth rate and an employment growth rate were calculated using the socio-economic data
forecasts developed for the latest NWFRPM. As indicated previously, population and employment data are
hard-coded into the model and cannot be modified by end-users. As applied, the growth rates do not
reflect fluctuating economic conditions as experienced in real time.
Special Generators
Special generators were identified to evaluate the opportunity for generating high ridership. Okaloosa
County special generators include the following:
Boardwalk Wayside Park (transfer station)
Uptown Station (transfer station)
Walmart in Fort Walton Beach (transfer station)
Santa Rosa Mall (shopping mall, transfer station)
Destin Commons (shopping mall, transfer station)
Northwest Florida State College (university)
Fort Walton Beach Medical Center (hospital, transfer station)
White Wilson (transfer station)
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Section 7: Demand and Mobility Assessment
TBEST Model Limitations
It has long been a desire of FDOT to have a standard modeling tool for transit demand that could be
standardized across the state, similar to the Florida Standard Urban Transportation Model Structure
(FSUTMS) model used by metropolitan planning organizations in developing long range transportation
plans. However, whereas TBEST is an important tool for evaluating improvements to existing and future
transit services, model outputs do not account for latent demand for transit that could yield significantly
higher ridership, and, correspondingly, model outputs may over-estimate demand in isolated cases. In
addition, TBEST cannot display sensitivities to external factors such as an improved marketing and
advertising program, changes in pricing service for customers, and other local conditions.
Although TBEST provides ridership projections at the route and bus stop levels, its strength lies more in its
ability to facilitate relative comparisons of ridership productivity. As a result, model outputs are not
absolute ridership projections, but rather are comparative for evaluation in actual service implementation
decisions. TBEST has generated interest from departments of transportation in other states and continues
to be a work in progress that will become more useful as its capabilities are enhanced in future updates to
the model. Consequently, it is important for EC Rider to integrate sound planning judgment and experience
when interpreting TBEST results.
Ridership Forecast
Using these inputs, assumptions, and actual ridership data, the TBEST model was validated. Using the
validation model as the base model, TBEST ridership forecasts for this TDP major update planning starting
year (2017) and horizon year (2026) were developed. The generated annual ridership forecasts reflect the
estimated level of service utilization if no changes were to be made to any of the fixed-route services.
Tables 7-2 shows the projected number of annual riders by route in 2017 and 2026 as well as average
annual ridership growth rates from 2017 to 2026 derived from T-BEST.
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Section 7: Demand and Mobility Assessment
Table 7-2: EC Rider Average Annual Ridership and Growth Rates with No Improvements, 2017–2026*
Average Average Absolute Average
Route Annual Ridership, Annual Ridership, Change, Annual Growth Rate,
2017 2026 2017–2026 2017–2026
1 27,874 30,263 2,389 0.86%
2 14,488 15,927 1,439 0.99%
3 6,223 6,835 612 0.98%
4 18,161 20,208 2,047 1.13%
5 1,825 2,047 222 1.22%
14 9,304 10,245 941 1.01%
20 22,125 27,796 5,671 2.56%
30 18,220 25,200 6,980 3.83%
32 13,795 18,372 4,577 3.32%
33 9,629 10,765 1,136 1.18%
Total All
141,644 167,658 26,014 1.84%
Routes
*Based on TBEST model
Forecast Ridership Analysis Summary
Based on the TBEST model results shown in Table 7-2, maintaining the status quo will result in a gradual
increase in EC Rider ridership over time. According to the projections, average annualized ridership is
expected to increase by 18.4% (from 141,644 to 167,658 riders) by 2026, or an annual growth rate of about
1.84%.
The model results show that the most significant ridership growth in the existing EC Rider network will
occur on the following routes within the next 10 years:
Route 20
Route 30
Route 32
However, for EC Rider to increase its market share for transit, service expansion will need to occur, and
service improvements identified in this plan, other transit planning efforts, and from the public feedback
received will need to be implemented.
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SECTION 8: ALTERNATIVES EVALUATION
This section identifies the potential transit improvements developed for the Access EC Rider TDP. Those
proposed improvements, or alternatives, for fixed-route service represent the transit needs for the next 10
years without consideration of funding constraints.
The identified service improvements were then ranked using an evaluation process. This prioritized list of
potential improvements was used to guide the 10-year implementation and cost feasible financial plans. As
Okaloosa County continues to grow, and if the demand for transit follows that same overall growth, the
prioritized transit needs will assist Okaloosa County in selecting and implementing service improvements as
funding becomes available.
Development of 10-Year Transit Needs
The Access EC Rider TDP transit alternatives consist of improvements to enhance existing EC Rider services
and expand transit services to new areas. The alternatives reflect the transit needs of the community and
have been developed based on information gathered through the following methods:
Public Workshops and Discussion Groups – Several public workshops and discussion groups were
held to gather input from the public, stakeholders, and bus operators regarding what alternatives
should be considered for the next 10 years.
Transit Surveys – An on-board survey targeting bus passengers was conducted as part of the Access
EC Rider TDP planning process to obtain input from riders. Surveys from the transit users and non-
users during two discussion group workshops provided additional input. In addition, EC Rider bus
operators were surveyed to gather input on rider and operator comments/concerns.
Interviews – Ten interviews were conducted with community leaders from different organizations
including the Okaloosa County Commission, Eglin Air Force Base, municipal councils, and the
Okaloosa Tourism Development Council.
Transit Demand Assessment – An assessment of transit demand and needs was conducted for
Okaloosa County. Three types of technical analyses, together with the baseline conditions
assessment, performance reviews and situation appraisal conducted previously, were also used in
developing the list of transit alternatives by identifying areas that have characteristics shown to be
supportive of transit.
Several improvement alternatives were developed and grouped into the following three main categories,
each of which are summarized in more detail below:
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Section 8: Alternatives
