psrc work program updates: transit, tdm, and special needs · 23/10/2019 · local tdm programs...
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PSRC Work Program Updates: Transit, TDM, and Special Needs
October 23, 2019
2019 Work Program Updates
Overview• Transit
• Transportation Demand Management
• Special Needs Transportation
• Next Steps
Transit Work Program
3
Preparing for the Regional Transportation Plan
Update
• Assess demand for transit with updated Regional Growth Strategy
• Frequent
• Express
• Local
• Flexible
• Assess potential transit needs (service and capital)
• Existing/planned HCT corridors in plan
• Any new potential HCT corridors?
• Geographies that could support new transit of any type
Transit Work Program
4
Preparing for the Regional Transportation Plan
Update
• Help transit agencies assess updated capital needs for transit service
to 2050
• Access
• Basic Operations
• Speed and Reliability
• Transit Access:
• Assess/update Regional Access to Transit Strategy
Transit Work Program
• Performance measures and targets
• Measuring impact of transit investments on mobility
• Ridership
• Speed and Reliability
• Access to Transit
• Federal requirements
• Asset management
• Safety
Current Work
• Updating Passenger Only Ferry (POF) Planning through POF
Study
• Improving understanding of transit agency planning:
• Long range planning timelines
• High capacity transit thresholds
• Transit performance measures
5
TDM Work Program
Work Program:
GOAL: Integrate TDM into policies, programs, and projects throughout
the region to get the most efficient use out of transportation system.
1. Update Baseline on TDM Data, Markets, and Performance Metrics
2. Prepare TDM Opportunities/Gap Analysis
3. Implementation: take actions that will help advance TDM and
transportation system efficiency within the central Puget Sound
region as anticipated in the Regional Transportation Plan.
4. Raise Awareness of TDM as defined in Regional TDM Action Plan at
PSRC committees and boards.
6
TDM Work Program Purpose
To update the 2022
Regional
Transportation Plan
To identify and
communicate the
effectiveness of TDM
To identify TDM
opportunities and
needs
To improve methods
of measuring regional
performance
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Fall 2019
• Brief the TDM
Advisory Committee
• Brief the TOC
TDM Work Program Schedule
Summer 2019
• Collect data from
WSDOT, transit
agencies, and
jurisdictions
• Perform initial review
and analysis of data
Winter 2019/2020
• Expand upon data
collection if necessary
• Document baseline
• Explore regional TDM
opportunities and
gaps
• Brief the
Transportation Policy
Board
8
Statewide Commute Trip Reduction Program
Key Components
• Statewide TDM program founded in 1991
• Targets peak-time commutes to and from worksites
• Worksites with 100 or more full-time employees that
commute to work between 6 and 9am
9
WSDOT CTR Survey
Available Data Points
• Number of Employees
• VMT per Employee
• Total VMT
• Non-Drive-Alone Trip Rate
• Total Annual Greenhouse Gas (GHG) Emissions
• Daily Roundtrip GHG per Employee
• Number of Weekly Trips
• Mode Share of Trips
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Concentration of CTR Worksites
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Distribution of Worksites & Employees
Number of CTR-affected employees compared to total employees in the Central Puget Sound Region. Source: Washington State Department of Transportation and PSRC.
Number of CTR-affected worksites compared to total worksites in the Central Puget Sound Region. Source: Washington State Department of Transportation and PSRC.
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CountyTotal
WorksitesCTR-Affected
WorksitesCTR Worksite Share of
Total Worksites
King 605,105 488 0.08%
Kitsap 119,157 18 0.02%
Pierce 295,922 57 0.02%
Snohomish 256,201 52 0.02%
Region 1,276,385 615 0.05%
CTR-Affected Worksites in the Central Puget Sound Region
Non-CTR-Affected Employees (2018),
1,634,183
CTR-Affected Employees (2017/2018), 507,917
CTR-Affected Employees in the Central Puget Sound Region
Proportion of Non-Drive-Alone Trips
Share of non-drive-alone trips taken by CTR-affected worksite employees in the Central Puget Sound Region and Washington State compared to share of non-drive-alone trips taken by all worksite employees in the Central Puget Sound Region. Source: Washington State Department of Transportation and Puget Sound Regional Council.
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
2007/2008 2009/2010 2011/2012 2013/2014 2015/2016 2017/2018
Regionwide and Statewide Share of Non-Drive-Alone Trips
Regionwide CTR-Affected NDAT Share Statewide CTR-Affected NDAT Share
Regionwide Total NDAT Share
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CTR Program and TDM
• Foundational CTR program captures
narrow trip market.
• Traffic is bad and getting worse– and
not just during AM/PM peaks.
• Many worksites and employees do not
have access to education, incentives,
and programs under CTR.
SOURCE: WSDOT TDM Plan presentation, November 8, 201814
Local TDM Programs Inventory
Data Points
• Geographic Coverage
• Trip Purpose
• Employer Size
• Strategies Used
• Promoted Modes
• Target Audiences
• Special Needs
• Rewards and Subsidies Info
• Participation
• Performance Measures
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Local TDM Programs Inventory
Methodology
• Review city comprehensive plans and
websites
• Review transit agency plans and
websites
• Review Transportation Improvement
Program (TIP) TDM projects
• Compile information in inventory
• Follow-up with agencies to confirm and
fill in gaps
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Local TDM Programs Inventory
44 unique local programs identified to-date:
• Most address work trip purpose
• 80% of programs used education as one of
their TDM strategies
• Most common modes encouraged include
transit, bicycling, and walking
• A variety of performance measures reported,
some using measures from
RideshareOnline.com17
Special Needs Transportation Work Program
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Inventory of existing
services and programs
To identify gaps in special
needs transportation
To improve methods of
measuring performance
• Collect special needs transportation data:
• Coordinate with implementers on High Priority Strategies:
Improve access to
healthcare
Close awareness gaps in
SN transportation
Improve rural
transportation
Fall 2019
• Brief the SNTC, TOC
and TPB
• Outreach to other
transportation providers
and explore other data
resources
Data Collection Schedule
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Summer 2019
• Collect data from
transit agencies
• Review and analyze
quarterly reports for
funded projects
Winter 2019/2020
• Explore best use of
collected data and
visualization strategies
• Explore regional
opportunities and gaps
in special needs
transportation
We are here
Special Needs Demographic Trends in the Region
592,000
383,000
50,000
376,000
769,000
1,599,000
602,000
423,000
62,000
414,000
960,000
1,764,000
621,000
510,000
63,000
456,000
946,000
1,934,000
Youth 5-17 Seniors 65+ Seniors 85+ Individuals w/Disabilities
Low-Income Total SpecialNeeds
Change in Special Needs Populations, 2008, 2011, and 2015
*Low income defined as 200% below federal poverty level
Source: U.S. Census Bureau, American Community Survey 1-Year Estimates, (2008, 2011, and 2015)
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Transit Ridership, 2010-2018
0M
25M
50M
75M
100M
125M
150M
175M
200M
225M
2010 2011 2012 2013 2014 2015 2016 2017 2018
Bus Ferry Light Rail Commuter Rail
183M
221M(+20.4%)
Source: 2010-2018, National Transit Database
0.0M
0.3M
0.5M
0.8M
1.0M
1.3M
1.5M
1.8M
2.0M
2.3M
2.5M
2010 2011 2012 2013 2014 2015 2016 2017 2018
Fixed-route ADA Paratransit
2.3M
2.0M(-17%)
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Ridership Ridership
Non-Profit Special Needs Ridership, 2015-2019
Source: 2015-17 and 2017-19, WSDOT Quarterly Reports
Revenue Vehicle Miles Passenger Trips
2,965,850
2,867,445
2,000,000
2,200,000
2,400,000
2,600,000
2,800,000
3,000,000
3,200,000
2015-17 2017-19
406,715
367,491
250,000
270,000
290,000
310,000
330,000
350,000
370,000
390,000
410,000
430,000
2015-17 2017-19
(-3%) (-10%)
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Public Transit Agencies
• Fixed Route (rail, bus, ferries)
• Other Transit Service
• Deviated Fixed Route
• ADA Paratransit
• Demand Response
Other Transportation Providers
• Non-profit/Human Services
• Volunteer Transportation
• County/Subarea Mobility
Coalitions
• 2015-17 and 2017-19 Data
Special Needs Transportation Data
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Transit District Boundaries
People with special transportation
needs live throughout the region
• Outside of any transit district
• Within transit districts, but
without easy access
Fixed Route Transit Data
2018 ORCA data received from agenciesFixed-Route
ORCA Boardings by Passenger Type 2018
% of ORCA Boardings by Special Needs
King County Metro Adult 62,879,062 Disabled 4,489,192 Senior 3,425,445 Low Income 5,462,727 Youth 4,734,236
Total 80,990,662 22%
Kitsap Transit Adult 898,123 Disabled 228,724 Senior 112,924 Low Income 303,512 Youth 58,646
Total 1,601,929 44%
Pierce Transit Adult 1,636,778
Senior-Disabled688,569
Low Income N/A Youth 555,255
Total 2,880,602 43%
Sound Transit Adult 1,106,948 Disabled 31,209 Senior 57,063 Low Income 50,702 Youth 50,864
Total 1,296,786 15%
WSF Disabled 286,761 NOTE: WSF provided disabled permit data Total N/A25
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King County Metro, ORCA Boardings, 2016-18
-
10,000,000
20,000,000
30,000,000
40,000,000
50,000,000
60,000,000
70,000,000
80,000,000
90,000,000
Adult Disabled Senior Low Income Youth Total
King County Metro
2016 2017 2018% ORCA Boardings by Special Needs:
23% 23% 22%
Fixed Route Transit Data—Example
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Community Transit, October 2017
Source: Community Transit, October 2017 Automatic Passenger Counts & Fall 2017 On-board Survey
41.1%39.7%
52.3%53.9%
0.0%
10.0%
20.0%
30.0%
40.0%
50.0%
60.0%
All Weekday Saturday Sunday
% Special Needs Ridership by Day of Week
NOTE: Special needs population includes seniors 65+, youth, low-income and people with disabilities
Fixed Route Transit Data—Example
28
King County Metro—Ridership of Other Services, 2016-18
-
100,000
200,000
300,000
400,000
500,000
600,000
700,000
800,000
900,000
1,000,000
DART Alt. Services CAT Taxi Scrip
2016 2017 2018
(-13%)
(+86%)
(-5%)
(-26%)
Deviated Fixed-Route
Demand-Response
Other Transit Data—Example
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Kitsap Transit’s Dial-A-Ride Service
• Bainbridge Island (BI RIDE)
• Port Orchard – Purdy Dial-A-Ride
• Kingston Fast Ferry Commuter
TapRide Service:
• South Kitsap (SK RIDE)
• Kingston RIDE
Other Transit Data—Example
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ADA Paratransit Service
NOTE: Service coverage on this figure reflects weekday maximum coverage
Other Transit Data
Data Collected from Transit Agencies
Key Takeaways:• Transit agencies provide a wide range of service
to riders with special transportation needs
• Data appears useful for showing the role fixed-
route transit plays for those with special
transportation needs
• However, it is difficult to analyze data due to
inconsistent format, performance metrics, and
timeframes
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Data Collected from Transit Agencies
Discussion:• How do we articulate benefits of using public transportation?
• How can we highlight needs and gaps in transit?
• What other resources PSRC should explore?
• How can we improve measuring the performance of public
transportation provided for riders with special transportation
needs?
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Thank you.
Gil CeriseProgram Manager [email protected]
Kimberly PearsonAssistant [email protected]
Jean KimAssociate Planner [email protected]
Mitch KochAssistant [email protected]