Calculating Transportation System User Benefits: Interface Challenges between EMME/2 and Summit Principle Author: Jennifer John Senior Transportation Planner.

Slides:



Advertisements
Similar presentations
THURSTON REGION MULTIMODAL TRAVEL DEMAND FORECASTING MODEL IMPLEMENTATION IN EMME/2 - Presentation at the 15th International EMME/2 Users Group Conference.
Advertisements

Using the Parkride2.mac Macro to Model Park and Ride Demand in the Puget Sound Region 22 nd International Emme Users Conference September 15-16, 2011,
Parsons Brinckerhoff Chicago, Illinois GIS Estimation of Transit Access Parameters for Mode Choice Models GIS in Transit Conference October 16-17, 2013.
Feedback Loops Guy Rousseau Atlanta Regional Commission.
Iran Network and Transit Modeling and Forecasting Using EMME/2 Mahboobeh Zakeri Sohi ENTRAConsultants 21st International EMME Users Conference October,
In Portland, Oregon TRB Planning Applications Conference Reno, Nevada Mark Bradley Research & Consulting.
Jeannie Wu, Planner Sep  Background  Model Review  Model Function  Model Structure  Transportation System  Model Interface  Model Output.
Regional Bicycle Demand Model: In Use Today in Portland Bill Stein, Metro TRB Transportation Applications Conference Reno, Nevada – May 9, 2011.
GIS and Transportation Planning
Breaking the Static Barrier: Building Regional Support for Implementation of Dynamic Traffic Assignment in Long-Range Planning Processes TRB Planning Applications.
Smith Myung, Cambridge Systematics Sean McAtee, Cambridge Systematics Cambridge Systematics.
Twin Cities Case Study: Northstar Corridor. ●By 2030, region expected to grow by nearly 1 million, with 91% to 95% of new growth forecast to be located.
GREATER NEW YORK A GREENER Travel Demand Modeling for analysis of Congestion Mitigation policies October 24, 2007.
USING SUMMIT FOR TRANSIT AND MODEL ANALYSIS AMPO TRAVEL MODEL WORK GROUP October 23, 2006.
The Current State and Future of the Regional Multi-Modal Travel Demand Forecasting Model.
The SoCoMMS Model Paul Read Dan Jones. The Presentation Outline of the Study The Modelling Framework Accessibility Model.
Time of day choice models The “weakest link” in our current methods(?) Change the use of network models… Run static assignments for more periods of the.
Materials developed by K. Watkins, J. LaMondia and C. Brakewood TODs & Complete Streets Unit 6: Station Design & Access.
May 2009 Evaluation of Time-of- Day Fare Changes for Washington State Ferries Prepared for: TRB 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,
Implementing a Blended Model System to Forecast Transportation and Land Use Changes at Bob Hope Airport 15 th TRB National Transportation Planning Applications.
Versatile Applications of EMME/2 and ENIF: Seattle Experience Madhavi Sanakkayala Heather Purdy & Sujay Davuluri Parsons Brinckerhoff, Seattle.
FOCUS MODEL OVERVIEW CLASS FIVE Denver Regional Council of Governments July27, 2011.
The Development of a Direct Demand Non-Home Based Model for Urban Rail Travel Rhett Fussell, PE –PB Americas Bill Davidson-PB Americas Joel Freedman-PB.
Traffic Assignment Convergence and its Effects on Selecting Network Improvements By Chris Blaschuk, City of Calgary and JD Hunt, University of Calgary.
Bus Rapid Transit: Chicago’s New Route to Opportunity Josh Ellis, BRT Project Manager Metropolitan Planning Council.
BALTIMORE METROPOLITAN COUNCIL MODEL ENHANCEMENTS FOR THE RED LINE PROJECT AMPO TRAVEL MODEL WORK GROUP March 20, 2006.
Transit Estimation and Mode Split CE 451/551 Source: NHI course on Travel Demand Forecasting (152054A) Session 7.
TRB Transportation Planning Applications Conference Houston, Texas May 2009 Ann Arbor Transportation Plan Update-- Connecting the Land Use & Transportation.
Modelling of Trips using Strategic Park-and-Ride Site at Longbridge Railway Station Seattle, USA, Oct th International EMME/2 Users Conference.
A New Policy Sensitive Travel Demand Model for Tel Aviv Yoram Shiftan Transportation Research Institute Faculty of Civil and Environmental Engineering.
Transportation leadership you can trust. presented to TRB Planning Applications Conference presented by Vamsee Modugula Cambridge Systematics, Inc. May.
PTIS Project Update October 26 – 28, PTIS Project Objective Recommend transit investments and land use strategies for urban and rural Fresno County.
1 The Aggregate Rail Ridership Forecasting Model: Overview Dave Schmitt, AICP Southeast Florida Users Group November 14 th 2008.
Characteristics of Weekend Travel in the City of Calgary: Towards a Model of Weekend Travel Demand JD Hunt, University of Calgary DM Atkins, City of Calgary.
Montgomery County Travel Forecasting Model Validation — Status Report — Status Report Presented To: TPB Travel Forecasting Subcommittee By: Montgomery.
“An Iterative Capacity Constrained Parking Methodology for Ridership Forecasts for BART Extension Stations” Mike Aronson May 19, th TRB National.
SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY San Francisco’s Dynamic Traffic Assignment Model Background SFCTA DTA Model Peer Review Panel Meeting July.
Travel Demand Modeling Experience Bellevue-Kirkland-Redmond Travel Demand Modeling Experience Jin Ren, P.E. City of Bellevue, Washington, USA October 19,
Montreal, th October, th International EMME Users’ Conference The modelling of 2 different cases of the trip distribution in EMME in the.
Income-Based Work Trip Stratification within the Puget Sound Regional Council Travel Model Framework 20 th International Emme Users’ Conference Montreal,
David B. Roden, Senior Consulting Manager Analysis of Transportation Projects in Northern Virginia TRB Transportation Planning Applications Conference.
Major Transportation Corridor Studies Using an EMME/2 Travel Demand Forecasting Model: The Trans-Lake Washington Study Carlos Espindola, Youssef Dehghani.
Client Name Here - In Title Master Slide 2007/2008 Household Travel Survey Presentation of Additional Findings by Robert E. Griffiths Technical Services.
Transportation leadership you can trust. presented to 12 th Annual TRB Transportation Planning Application Conference presented by Dan Goldfarb, P.E. Cambridge.
Mohamed S. Mahmoud, M.Sc. Ph.D. Candidate MODELING TRANSIT MODE CHOICE FOR INTER-REGIONAL COMMUTING TRIPS ACT Canada Sustainable Mobility Summit November.
FDOT Transit Office Modeling Initiatives The Transit Office has undertaken a number of initiatives in collaboration with the Systems Planning Office and.
EMME/2 Conference Gautrain Rapid Rail Link: Forecasting Diversion from Car to Rail 8 September 2004 Presented by Johan De Bruyn.
Calgary Commercial Movement Model Kevin Stefan, City of Calgary J.D. Hunt, University of Calgary Prepared for the 17th International EMME/2 Conference.
Regional Transit Study Project Update. Four open houses held between November , 2009 Informed and engaged the public in the study process Provided.
FTA Workshop on Travel Forecasting for New Starts1March 2009FTA Workshop on Travel Forecasting for New Starts1March 2009 Charlotte South Corridor LRT Bill.
Presented to MTF Transit Committee presented by David Schmitt, AICP November 20, 2008 FSUTMS Transit Model Application.
2030 Transit-Oriented Development Scenario: Travel Model Results
Transit Pricing Programs Value Pricing for Transportation in the Washington Region June 4, 2003 Richard F. Stevens Washington Metropolitan Area Transit.
Incorporating Time of Day Modeling into FSUTMS – Phase II Time of Day (Peak Spreading) Model Presentation to FDOT SPO 23 March 2011 Heinrich McBean.
IH-10 Managed Lanes Project: A “Public-Public” Partnership ENGINEERS PLANNERS ECONOMISTS Wilbur Smith Associates Presented at the Value Pricing Conference.
May 9, th TRB National Transportation Planning Applications Conference – Session 18 1 IMPROVING CONSISTENCY BETWEEN TRANSIT PATH- BUILDING AND MODE.
Use of Journey Levels for Hierarchical Transit Assignment
Development of an Open Matrix Emme Integration Tool
A Presentation to: River to Sea TPO Board October 26, 2016.
A Presentation to: River to Sea TPO BPAC November 9, 2016.
Southeast Florida STOPS Planning Model
River to Sea TPO - CAC/TCC
Performance Measure Exploration Preparing for the 2018 RTP
Mohamed Mahmoud, Ph.D. Senior Planner, Forecasting TransLink
Transportation Planning Applications Conference Sheldon Harrison
Slugging in the I-395 Corridor
Travel Demand Forecasting: Mode Choice
Jim Lam, Caliper Corporation Guoxiong Huang, SCAG Mark Bradley, BB&C
Presentation transcript:

Calculating Transportation System User Benefits: Interface Challenges between EMME/2 and Summit Principle Author: Jennifer John Senior Transportation Planner Portland Metro Planning Department 600 Northeast Grand Avenue Portland, Oregon For Presentation at the 17th International EMME/2 Users Group Conference Calgary, Alberta, Canada October 22-24, 2003

Regional Government Chartered by voters in the Tri-County area –1.3 million people –3 Counties –24 Cities Metro

Responsible for –Open Spaces & Parks –Landuse & Transportation Planning –Garbage Disposal and Recycling Owns & Operates –Oregon Zoo –Oregon Convention Center Metro

Portland Light Rail Transit Experience

“Summit” Software Federal Transit Administration (FTA) requirement for all New Starts Projects Calculates “User Benefits” –Travel Time Savings Baseline and Build Alternatives

Summit Software (continued) For the Analyst –helpful in designing transportation systems –assessing how well projects perform –lead to improvements in modeling process For FTA –provides consistent reporting measures –“level playing field” –“Transparency”

Integrating Summit and Metro’s Model Building the connection Challenges Project Experiences

Portland Demand Model Traditional Four-Step Process Updates –response to complex questions FTA Regional Policy Makers local jurisdictions consultants

Portland Demand Model Old Model Included Post-Mode Choice Process –Model Estimation used information from a survey that was conducted prior to the opening of the first light rail line in the region. –A New Survey was conducted in the light rail corridor after the line opened New Survey showed difference in walk vs.. park & ride access to light rail

Portland Demand Model Portland Metro worked with FTA –Developed Post-mode choice factor increased proportion of park & ride access to light rail system Post-mode choice factor did not work with Summit Software –New Model sets in Portland do not include any post processing of mode split information

Summit Requirements Total Person Trips Total Motorized Person Trips –all trips that are used in the mode choice model Fraction of person trips that have walk-to-transit path Transit share of person trips that have a walk-to-transit path Fraction of person trips that have a drive-to-transit path Transit share of person trips that have a drive-to-transit path

Summit File Format Previously listed information must be formatted for input to Summit. –If model is run in EMME/2 module 3.14 will output the information properly –EMME/2 output needs to be converted to Binary format

Summit File Format

Required Model Information Information pulled out of the model for each trip purpose by market segment –market segmentation auto ownership income groups

Metro Model Trip Purposes Home-Based Work Home-Based Shop Home-Based Recreation Home-Based Other Non-Home-Based Work Non-Home-Based Non-Work College School

Metro Model Trip Modes Drive Alone Drive with Passenger Passenger Auto Access Transit (Park & Ride) Walk Access transit Bike Walk

Walk Access Transit Sub-modes –Premium Service typically fixed-guideway premium bus service can also be included –BRT (Bus Rapid Transit) –Bus Service –Combination

Market Segmentation In the Model Auto Ownership, Income Groups & Time of Day –Home-based Work –Home-based Shop –Home-based Recreation –Home-based Other Remaining purposes use only Income and Time of Day

Using Metro Information in the Summit Software Summit configured for 8 market segments Metro model –18 segments for four of the trip purposes –6 segments for remaining purposes Summit set up to easily work with conventional model sets Metro model not conventional!

Using Metro Information in the Summit Software Four purposes with large market segmentation –To fit into Summit three separate files with 6 categories are saved –Summit is run three times for each of these purposes –Output from each run added together to get hours of transportation system user benefit

Summit Output Information For each trip purpose and market segment –Row and Column Summaries for every zone in network Row values indicate benefits from zones Column values indicate benefits to zones –Benefits may be positive or negative

Using Summit Outputs Can be used with a variety of available software packages –EMME/2 –Excel –ArcView

Summit Output File

Use with EMME/2 Format into mo or md and batch into bank

Use with Excel

Use with ArcView

Travel Times and the Summit Software Auto and Transit Times evaluated User benefit = time savings between alternatives Travel times for input to demand model are created in EMME/2 –am peak, midday time periods –auto and transit –multiple iterations in auto assignment to achieve desirable state of equilibrium

Travel Times and the Summit Software Transit Times –Assignments run for each transit sub-mode Premium Bus Combination –Separate networks used for each sub-mode

Travel Times and the Summit Software Single trip table used as starting point Alternatives iterated through model –Allows mode share changes to influence travel times as they are fed back through the model

Travel Times and the Summit Software Auto times influence transit path choices –When evaluating alternatives it is helpful to check differences prior to running model Are differences the result of system design? Are differences the result of path choice shifting from small changes in the underlying auto assignment?

Portland Project Experience Washington County Commuter Rail

Baseline Alternative –Bus Line through the corridor Operated in mixed traffic Times dependent on congestion Build Alternative –Commuter Rail Line Fixed guideway 5 stations

Portland Project Experience Washington County Commuter Rail Model Runs –Build alternative higher mode shares improved travel times Summit Output –Overall negative benefits –High positive and negative benefits outside project area

Portland Project Experience Washington County Commuter Rail

What did we do to move from initial run to final run? –Summit produces both auto and transit benefit Isolated each piece to evaluate them –Compared travel times from Build and Baseline in emme2bank equilibrium assignment issues time differences negligible but were magnified in Summit

Portland Project Experience Washington County Commuter Rail What did we do? (continued) –FTA only evaluating transit benefits issues with auto benefits and equilibrium assignments –Decided to use common trip tables for Baseline and Build Alternative While this limits benefit to project as a result of improved travel times to auto it

Portland Project Experience Washington County Commuter Rail Insights into some remaining zones with negative numbers –Total times vs. weighted components Setting up matrix calculations in emme2bank helps identify issues –network definitions –skim procedures

Summary Many Issues Lessons Learned –Shift in how projects are evaluated moving to more precise level of analysis level of complexity –Use available tools and resources to be as familiar as possible with networks, inputs and procedures in model runs