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Major Transportation Corridor Studies Using an EMME2 Travel Demand Forecasting Model: The TransLake

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Title: Major Transportation Corridor Studies Using an EMME2 Travel Demand Forecasting Model: The TransLake


1
Major Transportation Corridor Studies Using an
EMME/2 Travel Demand Forecasting Model The
Trans-Lake Washington Study
  • Carlos Espindola, Youssef Dehghani
  • and Cathy Strombom
  • Parsons Brinckerhoff, Inc.

October 18-20, 2000 15th Annual International
EMME/2 Users Group Conference, Vancouver, BC.
2
Outline
  • The Project
  • The Alternatives
  • Mini Validation
  • Coding Challenges
  • Problems Encountered
  • Measures of Effectiveness
  • Looking Ahead
  • Acknowledgements

3
The Project
  • Identify reasonable and feasible solutions to
    improve mobility across/or around Lake Washington
  • Three facilities were studied SR-520, I-90 and
    SR-522
  • Projected regional growth 50 more person trips
    over the next 25 years
  • Using EMME/2 based four- step model (Puget Sound
    Regional Council)

4
Study Area
5
The Alternatives
  • 6 alternatives plus No-Build
  • No-Build
  • SR-522 2 GP lanes in each direction
  • SR-520 2 GP lanes in each direction
  • I-90 3 GP lanes plus 2 reversible center lanes
  • Metropolitan Transportation Plan (MTP, 1998)
  • bus-only lanes on SR-522
  • HOV lanes on SR-520
  • LRT on I-90 center lanes
  • some TDM improvements

6
The Alternatives (cont.)
  • MTP Flipped
  • new LRT bridge along SR-520
  • continuous 2-way HOV lanes on I-90 center lanes
  • Roadway/Rail
  • new LRT bridge along SR-520
  • LRT on I-90 center lanes

7
The Alternatives (cont.)
  • New Crossings
  • a new four-lane arterial connection across the
    lake north of SR-520 and HOV lanes on SR-520
  • LRT on new arterial bridge and on I-90
  • Roadway/Bus
  • new four-lane freeway with HOV lanes
  • improved bus service passenger only ferry
  • 2-way 24 hour HOV lanes on I-90 center lanes

8
The Alternatives (cont.)
  • Maximize Alternatives
  • passenger-only ferry
  • conversion of one GP lane to HOV lane on SR-520
  • LRT on I-90 center lanes
  • very aggressive TDM package including
    congestion-pricing measures

9
Mini Validation
  • Screenline comparison of vehicle volumes
    observed vs. modeled
  • Tolerance 10
  • Highway Assignment
  • Data AWDT
  • Daily variation of traffic volumes
  • Transit Assignment
  • Data observed and Sound Transit (ST) model

10
Coding Challenges
  • Transportation demand management
  • Equivalent parking cost
  • Congestion Pricing
  • Time equivalency of toll

11
Problems Encountered
  • The flip-flop effect
  • What? Large variation in number of trips across
    the lake (validation)
  • Why? Caused by congestion (constrained capacity)
    in Trans-Lake facilities
  • How? Trip distribution (gravity model) reduces
    trips across the lake search for equilibrium
    between supply and demand
  • Then? Consistency in application from one
    alternative to another

12
Congestion Pricing
  • Feasibility of tolls on cross lake trips (demand
    management)
  • Cross lake demand got depressed (lost over
    100,000 daily trips)
  • caused unrealistic demand estimates for transit
    and HOVs
  • What to do?
  • Introduce toll on assignment only
  • Or two step process

13
Congestion Pricing (cont.)
  • Two step process
  • Suppressed demand for non-HOVs
  • Model run with toll, lane conversion and parking
    costs
  • Un-suppressed demand for HOVs and transit
  • Model run without toll, lane conversion or
    parking costs
  • Highway and transit assignments

14
Measures of Effectiveness
  • To help evaluate and compare the performance of
    the alternatives
  • Vehicle trips by facility and mode (NCPL, HOV and
    Commercial vehicles)
  • Person trips by facility and mode (same as above
    plus Transit), screenline mode shares were
    produced
  • Weighted average PM peak period travel time in
    minutes between designated districts

15
Measures of Effectiveness (cont.)
  • From select link analysis on each facility
  • PM peak period vehicle miles of travel (VMT)
  • PM peak period vehicle hours of travel (VHT)
  • PM peak period speeds
  • weighted average trip lengths both in distance
    and time
  • Peak period and hourly vehicular traffic,
    capacity and v/c ratio by facility and direction
  • Peak period person through-put by facility, mode
    and direction

16
Looking Ahead
  • Use of Composite Impedance in trip distribution
    to reflect both highway and transit improvements
  • Update base year (1998)
  • Define the use of new vs. current version of
    PSRC model
  • Look at better way to forecast 3 HOVs

17
Summary
  • A tool to identify reasonable and feasible
    solutions to improve mobility across/or around
    Lake Washington
  • Helps evaluate a wide variety of transportation
    improvements (focus on mode, location and amount
    of change)

18
Acknowledgements
  • Washington State Department of Transportation
    Office of Urban Mobility (WSDOT/OUM)
  • Puget Sound Regional Council (PSRC)
  • Trans-Lake Washington Consulting Team
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