PRESENTED TO: CTP 2040 POLICY ADVISORY COMMITTEE PRESENTED BY: RON WEST, CAMBRIDGE SYSTEMATICS CTP 2040 Scenario Strategies and Analysis Framework November.

Slides:



Advertisements
Similar presentations
SE Florida FSUTMS Users Group Meeting FDOT Systems Planning Office
Advertisements

Mass Transit OSullivan Chapter 11. Outline of the Chapter Analyze some empirical facts about public transit in the United States Analyze the commuters.
Performance Measures CTP 2040 Policy Advisory Committee August 19, 2014.
Getting Started with Congestion Pricing A Workshop for Local Partners Federal Highway Administration Office of Operations.
New Directions Forward Scott Omer, PTP, Director Multimodal Planning Division Arizona Department of Transportation 2014 AzTA / ADOT Annual Conference April.
PRESENTED TO: CTP 2040 POLICY ADVISORY COMMITTEE PRESENTED BY: RON WEST AND MICHELLE BINA CAMBRIDGE SYSTEMATICS CTP 2040 Scenario Strategies and Analysis.
GREATER NEW YORK A GREENER Travel Demand Modeling for analysis of Congestion Mitigation policies October 24, 2007.
What is the Model??? A Primer on Transportation Demand Forecasting Models Shawn Turner Theo Petritsch Keith Lovan Lisa Aultman-Hall.
Dr Lina Shbeeb Minister of Transport. Jordan
Metro Vision 2035 Regional Growth Scenarios. Scenario Workshop.
Transportation Planning Section, Transportation Development Division Oregon Transportation Plan 2005 Modeling Alternative Policy Choices Becky Knudson,
2015 Interregional Transportation Strategic Plan Active Transportation and Livable Communities August 21, 2014 Scott Sauer.
A National County-Level Long Distance Travel Model Mike Chaney, AICP Tian Huang, PE, AICP, PTOE Binbin Chen, AICP 15 th TRB National Transportation Planning.
Using All Street Networks in Modeling Non-Motorized Travel: A Case Study in San Diego 15th TRB National Transportation Planning Applications Conference,
1 Using Transit Market Analysis Tools to Evaluate Transit Service Improvements for a Regional Transportation Plan TRB Transportation Applications May 20,
SB 360 and Multi-Modal Impact Fees & Efficiently Managing a Street Lightning System.
Low carbon transport policies for the UK Phase Two: Policies Keith Buchan, Director, MTRU.
1 Elevating Health & Equity into the Sustainable Communities Strategy (SCS) process Tuesday, December 13, 2011 Celia Harris, M.P.H. Project Director Human.
Transit Estimation and Mode Split CE 451/551 Source: NHI course on Travel Demand Forecasting (152054A) Session 7.
Bus and coach transport for greening mobility Contribution to the European Bus and Coach Forum 2011 Huib van Essen, 20 October 2011.
Transportation leadership you can trust. presented to presented by California Statewide Travel Demand Model California State Transportation Plan Policy.
Enter Presentation Name Public Works Transportation Division ACT Canada Sustainable Mobility Summit Hamilton, Ontario Transit Plenary November, 7, 2012.
TRB Transportation Planning Applications Conference Houston, Texas May 2009 Ann Arbor Transportation Plan Update-- Connecting the Land Use & Transportation.
Orange County Business Council Infrastructure Committee December 14, 2010 Draft Long-Range Transportation Plan Destination 2035.
June 15, 2010 For the Missoula Metropolitan Planning Organization Travel Modeling
Planning & Implementing Transportation Alternatives for Energy Efficiency and the Future Is Now Foundation October 4, 2011 Debbie Griner, Environmental.
BPAC. “Congestion management is the application of strategies to improve transportation system performance and reliability by reducing the adverse impacts.
PTIS Project Update October 26 – 28, PTIS Project Objective Recommend transit investments and land use strategies for urban and rural Fresno County.
Jeff’s slides. Transportation Kitchener Transportation Master Plan Define and prioritize a transportation network that is supportive of all modes of.
Green Transport Dr Lina Shbeeb Minister of Transport. Jordan.
Validating an Interregional Travel Model: A Case Study in California Nicholas J. Linesch Giovanni Circella Urban Land Use and Transportation Center Institute.
2030 Mobility Plan City of Jacksonville Planning and Development Department January 2011.
Transportation leadership you can trust. presented to presented by California Statewide Travel Demand Model California State Transportation Plan Technical.
Draft Transportation 2035 Plan for the San Francisco Bay Area ACT February 24, 2009.
Capturing the Effects of Smart Growth on Travel and Climate Change Jerry Walters, Fehr & Peers Modeling for Regional and Interregional Planning Caltrans.
ARB GHG Target-Setting Principles MTC Planning Committee July 9, 2010
Greenhouse Gas (GHG) emissions reduction strategies February 2014.
David B. Roden, Senior Consulting Manager Analysis of Transportation Projects in Northern Virginia TRB Transportation Planning Applications Conference.
1 Potential User Benefits and Costs of Rising Fuel Prices in the Puget Sound Region TRB Planning Applications Conference May 18, 2009 By Maren Outwater.
Regional HOT Lanes Study Preliminary Findings An Informational Hearing of the Senate Transportation and Housing Committee Toll Roads and Managed Lanes.
Challenges and Choices San Francisco Bay Area Long Range Plan Therese W. McMillan Deputy Executive Director, Policy Metropolitan Transportation Commission.
GHG Reduction Strategies Survey Results October 15, 2013 Policy Advisory Committee.
Policy Advisory Committee (PAC) Sacramento Area Council of Governments, Sacramento, CA February 18, 2014 Policy Advisory Committee.
JUNE 27, 2013 ARB INFORMATIONAL UPDATE: ASSOCIATION OF BAY AREA GOVERNMENTS’/ METROPOLITAN TRANSPORTATION COMMISSION’S DRAFT SUSTAINABLE COMMUNITIES STRATEGY.
San Joaquin Valley Sustainable Communities Strategies (SCS) Update July 25,
May 22, Overview of Presentation Proposed sustainable communities strategies (SCSs) for the San Joaquin Valley (SJV) Status of ARB staff’s review.
1 What If… The Washington Region Grew Differently? Results to Date of The TPB Regional Mobility and Accessibility Study February 8, 2006.
Ohio Statewide Model Passenger Transit Calibration Pat Costinett Greg Erhardt Rebekah Anderson.
2030 Transit-Oriented Development Scenario: Travel Model Results
TPB CLRP Aspirations Scenario 2012 CLRP and Version 2.3 Travel Forecasting Model Update Initial Results Ron Kirby Department of Transportation Planning.
PRESENTED TO: CTP 2040 TECHNICAL ADVISORY COMMITTEE PRESENTED BY: RON WEST AND MICHELLE BINA CAMBRIDGE SYSTEMATICS CTP 2040 Scenario Strategies and Analysis.
CALIFORNIA TRANSPORTATION PLAN 2040 TECHNICAL ADVISORY COMMITTEE, PART 2 April 25, 2013.
Submission Document went to cabinet … Planning for the Future Core Strategy and Urban Core Plan (the Plan) is a key planning document and sets out the.
Centre for Transport Studies Imperial College 1 Congestion Mitigation Strategies: Which Produces the Most Environmental Benefit and/or the Least Environmental.
The Regional Mobility and Accessibility Study Initial Results of CLRP/CLRP+ Analysis with Round 6.4 Growth Forecasts and Five Alternative Land Use Scenarios.
Policy Advisory Committee (PAC) Sacramento Area Council of Governments, Sacramento, CA June 17, 2014 Policy Advisory Committee.
Transportation 2035: S.F. Bay Area Targeting Health through Environment Metropolitan Transportation Commission Therese W. McMillan, Deputy Executive Director,
PRESENTED TO: CTP 2040 TECHNICAL ADVISORY COMMITTEE PRESENTED BY: RON WEST, CAMBRIDGE SYSTEMATICS CTP 2040 Scenario Strategies and Analysis Framework October.
Portland 2040 Analysis. Portland residents drive less… While per capita vehicle miles traveled is increasing nationally at an average of 2.3% per year,
2040 LONG RANGE PLAN UPDATE Congestion Management Process Plan (CMPP) Major Update February 24, 2016.
Monica Bansal Department of Transportation Planning Presentation to the TPB CAC November 13, 2008 Progress on “CLRP Aspirations” & “What Would it Take?”
Induced Travel: Definition, Forecasting Process, and A Case Study in the Metropolitan Washington Region A Briefing Paper for the National Capital Region.
Bus and coach transport for greening mobility
San Mateo Countywide Transportation Plan update
Transportation Management Plan Modernization Project
Transit Integration and Efficiency Study Transit Advisory Committee
SATC 2017 SOUTHERN AFRICAN SOLUTIONS TO PUBLIC TRANSPORT CHALLENGES
Public Workshop September 26, 2019.
Presentation transcript:

PRESENTED TO: CTP 2040 POLICY ADVISORY COMMITTEE PRESENTED BY: RON WEST, CAMBRIDGE SYSTEMATICS CTP 2040 Scenario Strategies and Analysis Framework November 18, 2014

Overview Analysis framework VMT reductions of each strategy Equity analysis of road user charge (RUC)  And RUC combined with transit improvements

CSTDM VERSUS OFF-MODEL SPECIFIC POLICY OR ASPIRATIONAL OBJECTIVE Analysis Framework

Analysis Method: Policy or Goal? Specific PolicyAspirational Objective CSTDM  Road User Charge  Transit Improvements  Carpool Occupancy to 3+  HOV/HOT lanes Off-Model  Expanded BRT  Expanded Ped /Bike Infrastructure  Incident Management  Caltrans TMS Master Plan  ITS Elements  Increased Telecommuting  Increased Carpooling  Increased Car Sharing  Eco Driving  Expanded Ped /Bike Mode Shares

Analysis Framework Analyze all strategies using one common metric  Reduction in vehicle miles travel  Year 2040 average weekday daily condition Clear documentation  Key input assumptions  Outcomes presented as apples-apples

Off Model Data Sources MPO Sustainable Community Strategies ARB policy papers CAPCOA Moving Cooler TCRP 118 (Bus rapid transit) Data Sources converted to changes in VMT

VMT REDUCTIONS FOR INDIVIDUAL STRATEGIES DRAFT ALT 2: COMBINED VMT REDUCTIONS CTP Strategies: Forecasts

Draft Alternative 2 VMT Changes StrategyVMT Change Category Modeled Strategy Road User Charge (RUC)-17.0% Pricing Transit Service Improvements-6.0% Mode Shift Carpool Lane Requirements*-0.8% Mode Shift HOV/HOT Lanestbd Mode Shift Off Model Strategies Telecommute/Work at Home-0.4% Transportation Alternatives Carpoolers-2.9% Transportation Alternatives Car Sharing-1.1% Transportation Alternatives Bus Rapid Transit-0.1% Mode Shift Expand Bike-0.4% Mode Shift Expand Pedestrian-0.4% Mode Shift Incident Management-1.0% Operational Efficiency Caltrans' (TMS) Master Plan-1.2% Operational Efficiency ITS/TSM-0.6% Operational Efficiency Eco-driving-0.2% Operational Efficiency Sub-Total Modeled (CSTDM) -23.8% Sub-Total Off-Model -8.4% Total -32.2%

Road User Charge - Equity Analysis Increased 2040 auto operating costs by 73% Request at last PAC meeting: Examine impact on low income households  Also analyzed: RUC combined with transit improvements Three Income Groups  $0 - $25K, $25 - $100K, > $100K ($2010)  Low Income = 14% of travelers (short distance)  Medium Income = 53% of travelers  High Income = 31% of travelers

2040 Mode Shares by Income Groups Drive Alone HOV 2HOV3+Transit Bike/ Walk Low Income Alt 125%28%19%10%19% RUC23%27%18%11%21% RUC + Transit17%26%17% 23% Med Income Alt 134%30%22%5%9% RUC33%30%22%5%10% RUC + Transit28%30%21%10%11% High Income Alt 144%28%20%3%5% RUC43%28%20%3%6% RUC + Transit38%29%20%7%6% All Alt 136%29%21%5%9% RUC34%29%21%6%10% RUC + Transit29% 20%10%11%

Mode Changes – Compared to Alt 1 Drive Alone HOV 2HOV3+Transit Bike/ Walk Low Income RUC -8%-3%-4%11%9% RUC + Transit -32%-11% 65%13% Med Income RUC -4%0%-1%11% RUC + Transit -20%-2%-3%102%19% High Income RUC -2%1%0%10%12% RUC + Transit -14%1%0%155%23% Total RUC -4%0%-1%11% RUC + Transit -19%-2%-3%100%18%

Equity Analysis Preliminary Conclusions Low income travelers more affected by RUC than other income groups  RUC = stick (auto modes less attractive)  Transit improvements = carrot RUC by itself has a bigger impact on VMT  Transit improvements have a greater impact on mode choice  Higher transit share changes for middle and high income groups More analysis will be conducted  Examine how changes affect individual household travel behaviors  Change in cost of travel

VMT x CTP Alternative (Daily VMT x 1000) Draft forecasts

CATEGORIES: Pricing Mode shift Transportation alternatives Operational efficiencies Strategies

Pricing – Road User Charge CSTDM RUC Strategy  Year % increase  17% VMT decrease (16 cent/mile increase in auto operating costs)  Other Tests included  Year % increase (22 cents/miles): 23% VMT decrease  Year % increase (8 cents/mile): 11% VMT decrease  Year % increase (2 cents/mile): 3% VMT decrease 

Mode Shift - Transit Analyze high-end 2040 transit alternative  Double bus and train service  Double operating speeds  Reduced or free fares  Convert 20% of local bus routes to BRT  Timed transfers  Reduced fares on high-speed rail Resulted in 6.0% reduction in VMT  BRT expansion: 0.07% VMT reduction

Mode Shift – Bicycle & Pedestrian Lower end  Calculate VMT reductions based on value of investments Higher end  Assume mode shares are doubled for bike and walk  Also assumed that 50% of trips come from auto modes  Average trip lengths: Bike 3.03 miles; Walk 0.55 miles*  0.41% VMT reduction for bike; 0.43% for walk * Source: 2012/2013 CHTS

Mode Shift - Carpools Raise statewide HOV occupancy to 3+  0.8% reduction in VMT Add HOV lanes  Gap closures  Interregional connectors  Will be tested during final analysis of Alt 2

Transportation Alternatives Carsharing  MTC: -1.3% VMT given +5% in carsharing adoption rates  Applied only to short distance personal travel  Converts to 1.1% reduction in total VMT  SACOG: Lower rate of VMT reduction: -0.12% Telecommuting  SACOG: VMT reduction between 0.13% & 0.39% Carpooling  MTC: -2.9% VMT given +5% in carpooling  Applied to short and long distance personal travel.

Operational Efficiencies ITS/TSM  SACOG: 0.19% to 0.62% reduction in VMT Caltrans TMS Master Plan  ARB: 1.2% reduction in VMT ITS/TSM  SACOG: Range of VMT reductions from 0.09% to 0.62% Eco Driving  ARB: 0.23% reduction in VMT  Assumes 10% adoption rate for short distance personal travel.

UPDATE ON CALIFORNIA STATEWIDE TRAVEL ANALYSIS MODEL CSTDM

CSTDM Update CSTDM Update is now complete  2010 base year (plus Year 2010 backcast)  Year 2015, 2020, 2035, 2040 and 2050 horizon years

CSTDM System Models Travel Modes Short Distance Personal Long Distance Personal Short Distance Truck Long Distance Truck External Travel Auto Single Occupant √√√ Auto 2 persons √√√ Auto 3+ persons √√√ Transit (bus & urban rail) √ Bicycle √ Walk √ Air √ Intercity Rail √ Trucks (3 classes) √√√

CSTDM Zones and Network (Current Model) 92,000+ nodes 250,000+ links Multi-modal 5454 internal zones 53 external zones

Contributions to Statewide Travel PersonalTruck ExternalTotal Short DistLong DistShort DistLong Dist Total Person Trips93%0.20%7%0.06%0.34%100% Total Vehicle Trips88%0.15%12%0.11%0.30%100% Total VMT (Auto/Truck ) 79%10%3%2%6%100%