What is the Model??? A Primer on Transportation Demand Forecasting Models Shawn Turner Theo Petritsch Keith Lovan Lisa Aultman-Hall.

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

TRAVEL DEMAND FORECASTING FOR THE OLYMPIC GAMES ATHENS 2004 ATTIKO METRO S.A. Anna Anastasaki.
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
ISTEA is Now 20 Years Old and We are Still Searching for the Land Use-Transportation Connection. Actually, Analysis of that Connection Has Been Sought.
December 13, 2010 Developing Bicycle Performance Measures for Integrated Multi-Modal Corridor Management.
Transportation leadership you can trust. FDOT Systems Planning White Paper A Recommended Approach to Delineating Traffic Analysis Zones in Florida.
GREATER NEW YORK A GREENER Travel Demand Modeling for analysis of Congestion Mitigation policies October 24, 2007.
Norman Washington Garrick CE 2710 Spring 2014 Lecture 07
CE 254 Transportation Engineering
GEOG 111 & 211A Transportation Planning Traffic Assignment.
REVISION. Sample Question The sample questions for this year. Describe briefly the classic transport model, explaining the four stages of the model. [10]
Chapter 4 1 Chapter 4. Modeling Transportation Demand and Supply 1.List the four steps of transportation demand analysis 2.List the four steps of travel.
Session 11: Model Calibration, Validation, and Reasonableness Checks
Sequential Demand Forecasting Models CTC-340. Travel Behavior 1. Decision to travel for a given purpose –People don’t travel without reason 2. The choice.
CE 2710 Transportation Engineering
Trip Generation Input: Socioeconomic Data Land Use Data Output:
Urban Transport Modeling (based on these two sources) A Transportation Modeling Primer May, 1995 Edward A. Beimborn Center for Urban Transportation Studies.
GEOG 111/211A Transportation Planning UTPS (Review from last time) Urban Transportation Planning System –Also known as the Four - Step Process –A methodology.
Lec 20, Ch.11: Transportation Planning Process (objectives)
Norman W. Garrick CTUP. Norman W. Garrick Transportation Forecasting What is it? Transportation Forecasting is used to estimate the number of travelers.
1 The Four-step Travel Model GEOG 111 & 211A – Fall 2004 October 14.
Norman W. Garrick Transportation Forecasting What is it? Transportation Forecasting is used to estimate the number of travelers or vehicles that will use.
CEE 320 Fall 2008 Transportation Planning and Travel Demand Forecasting CEE 320 Anne Goodchild.
Norman W. Garrick Trip Assignment Trip assignment is the forth step of the FOUR STEP process It is used to determining how much traffic will use each link.
Planning Process ► Early Transport Planning  Engineering-oriented  1944, First “ O-D ” study  Computational advances helped launch new era in planning.
PRESENTED TO: CTP 2040 POLICY ADVISORY COMMITTEE PRESENTED BY: RON WEST, CAMBRIDGE SYSTEMATICS CTP 2040 Scenario Strategies and Analysis Framework November.
Interfacing Regional Model with Statewide Model to Improve Regional Commercial Vehicle Travel Forecasting Bing Mei, P.E. Joe Huegy, AICP Institute for.
Transportation Planning and Traffic Estimation CE 453 Lecture 5.
Transportation Planning and Modeling Transportation planning is a field involved with the evaluation, assessment, design and siting of transportation facilities.
18 May 2015 Kelly J. Clifton, PhD * Patrick A. Singleton * Christopher D. Muhs * Robert J. Schneider, PhD † * Portland State Univ. † Univ. Wisconsin–Milwaukee.
Walking and Biking the Busiest Roads Around Atlanta: a Bike/Ped Plan that establishes non-motorized transportation among regional-scale priorities Regan.
FOCUS MODEL OVERVIEW CLASS FIVE Denver Regional Council of Governments July27, 2011.
Transport Modelling– An overview of the four modeling stages
Transit Estimation and Mode Split CE 451/551 Source: NHI course on Travel Demand Forecasting (152054A) Session 7.
June 15, 2010 For the Missoula Metropolitan Planning Organization Travel Modeling
Urban Transport Modeling (based on these two sources) A Transportation Modeling Primer May, 1995 Edward A. Beimborn Center for Urban Transportation Studies.
January Utah Statewide Household Travel Study Study overview and results.
Presentation Outline Project Purpose and ApproachProject Purpose and Approach Review of Existing Modeling Practice in CaliforniaReview of Existing Modeling.
Trip Generation Input: Output: Socioeconomic Data Land Use Data Trip Ends by trip purpose.
Chittenden County Land Use - Transportation Decision Support System November 19, 2003 Chittenden County Metropolitan.
Improvements and Innovations in TDF CE 451/551 Source: NHI course on Travel Demand Forecasting (152054A) Chapter 12.
Modeling in the “Real World” John Britting Wasatch Front Regional Council April 19, 2005.
Business Logistics 420 Public Transportation Lecture 18: Demand Forecasting.
The Four-Step Travel Model
Travel Demand Forecasting: Trip Distribution CE331 Transportation Engineering.
Technical Session 4 – Model Development & Calibration 4.1 Calibration of the TRANS Model for the National Capital Region (Ottawa-Hull) Don Stephens P.
Transportation Planning, Transportation Demand Analysis Land Use-Transportation Interaction Transportation Planning Framework Transportation Demand Analysis.
Norman W. Garrick Transportation Forecasting What is it? Transportation Forecasting is used to estimate the number of travelers or vehicles that will use.
Transportation leadership you can trust. TRB Planning Applications Conference May 18, 2009 Houston, TX A Recommended Approach to Delineating Traffic Analysis.
Integrated Travel Demand Model Challenges and Successes Tim Padgett, P.E., Kimley-Horn Scott Thomson, P.E., KYTC Saleem Salameh, Ph.D., P.E., KYOVA IPC.
FDOT Transit Office Modeling Initiatives The Transit Office has undertaken a number of initiatives in collaboration with the Systems Planning Office and.
Lecture 4 Four transport modelling stages with emphasis on public transport (hands on training) Dr. Muhammad Adnan.
How Does Your Model Measure Up Presented at TRB National Transportation Planning Applications Conference by Phil Shapiro Frank Spielberg VHB May, 2007.
Comparative Analysis of Traffic and Revenue Risks Associated with Priced Facilities 14 th TRB National Transportation Planning Applications Conference.
Transportation Forecasting The Four Step Model. Norman W. Garrick Transportation Forecasting What is it? Transportation Forecasting is used to estimate.
1 Methods to Assess Land Use and Transportation Balance By Carlos A. Alba May 2007.
The Regional Mobility and Accessibility Study Initial Results of CLRP/CLRP+ Analysis with Round 6.4 Growth Forecasts and Five Alternative Land Use Scenarios.
Generated Trips and their Implications for Transport Modelling using EMME/2 Marwan AL-Azzawi Senior Transport Planner PDC Consultants, UK Also at Napier.
Travel Demand Forecasting: Traffic Assignment CE331 Transportation Engineering.
CEE 320 Winter 2006 Transportation Planning and Travel Demand Forecasting CEE 320 Steve Muench.
Transportation Modeling – Opening the Black Box. Agenda 6:00 - 6:05Welcome by Brant Liebmann 6:05 - 6:10 Introductory Context by Mayor Will Toor and Tracy.
Transportation Engineering Mode Choice January 21, 2011
Chapter 4. Modeling Transportation Demand and Supply
Travel Demand Forecasting: Mode Choice
Transportation Engineering Wrap-up of planning February 2, 2011
Travel Demand and Traffic Forecasting
Trip Distribution Lecture 8 Norman W. Garrick and Hamed Ahangari
Norman Washington Garrick CE 2710 Spring 2016 Lecture 07
Presentation transcript:

What is the Model??? A Primer on Transportation Demand Forecasting Models Shawn Turner Theo Petritsch Keith Lovan Lisa Aultman-Hall

Objectives Provide overview of motor vehicle travel demand forecasting process Discuss options and alternatives for including biking and walking into vehicle forecasting models

Origin Transportation Research Board Committee on Bicycle Transportation Subcommittee recommendation January 2004

What’s the Problem? The “model” forecasts “tons” of motorized traffic and so engineers must build bigger roads The “model” rarely includes peds and bikes In fact, the “model” structure and assumptions do not work for bikes and peds But decision makers like numbers, so we need to use other techniques to quantify the activity in non-motorized transportation

The Model 1.Road Network 2.Zones in Study Area 3.Attributes of Zones Traffic Volume by Road Link (section)

Defining the Study Area 1.Define boundaries 2.Establish the network 3.Create the zones

Defining the Study Area 1.Define Boundaries Numerous states have statewide models Most models are used at the regional or metropolitan planning organization level -study area may be larger than appropriate -statewide may be appropriate for tourism PROBLEM

Defining the Study Area 2. Establish the network main arterial roads are represented as a series of links and nodes links are defined by speed and capacity turns are allowed at nodes

Defining the Study Area 2. Establish the network - links are defined by speed and capacity - turns are allowed at nodes - only main roads and intersections are included -even collector roads are excluded -off-road facilities are not included PROBLEM

Defining the Study Area 3. Create traffic analysis zones -uniform land use -bounded by major roads -neighborhood size (a few blocks or more)

Defining the Study Area 3. Create the zones -State of CT model – 2000 zones (5500 square miles and 3.4 million people) -Lexington-Fayette County Ky - *** zones (population 250,000 and 293 square miles)

Defining the Study Area 3. Create the zones -all modeled trips begin in a zone and are destined for a zone -zone size is so large that most bike and pedestrian trips start and end in the same zone and do not use the network being modeled -the typical zone attributes of population and employment are not necessarily enough to predict levels of biking or walking PROBLEM

The Model 1.Road Network 2.Zones in Study Area 3.Attributes of Zones Traffic Volume by Road Link (section)

What’s in the Black Box? The four-step model –Originally developed in the 1950s and 1960s for interstate highway planning –Many advanced newer modeling techniques have been developed by researchers –For the most part agencies still use the “four step” model

The Four Step Model 1.Trip Generation 2.Trip Distribution 3.Mode Choice 4.Trip or Route Assignment

The Four Step Model Trip Generation – use of linear regression to predict the number of trips beginning from and destined for each zone based on population and employment -there are relatively few bicycle and pedestrian trips but note this process considers total trips at this point, non-motorized trips have not necessarily been excluded -trip generation can be conducted by trip purpose (work or shopping or total daily trips are common) but note that recreational and discretionary trips are hard to include PROBLEM

The Four Step Model Trip Distribution – use of gravity models to link trip origin zones to trip destination zones –a trip matrix is produced

The Four Step Model Trip Distribution – Trip interchanges increase with decrease distance between zones –Trip interchanges increase with increased zone “attractiveness” (square footage of retail or population for example)

The Four Step Model Trip Distribution -all trips are still lumped together -but bike and ped trips are affected differently by distance -many bike and ped trips are intra-zonal and this distance is hard to represent PROBLEM

The Four Step Model Mode Choice – utility choice models predict the probability that a trip between a pair of origin and destination zones will be made by each mode –drive alone, carpool, transit are commonly included –some agencies do little mode choice as most of the trips they are modeling occur by automobile

The Four Step Model Mode Choice -Many agencies exclude bikes and peds completely -The small percentage of bike/ped trips makes it difficult to calibrate models and include them -Typical survey methods result in under-reporting of discretionary trips, short trips and bike/ped trips PROBLEM

The Four Step Model Traffic or Route Assignment –for a trip between an origin zone and a destination zone the sequence of links (roads) in the network for routing are selected -often based on just minimum distance or time -some models do more than one route for each OD pair

The Four Step Model Traffic or Route Assignment -The routes used by bikes and walkers are not in the network -Trips starting and ending within one zone are not assigned -Factors beyond time and distance are also important to non-motorized routing PROBLEM

The Four Step Model Conclusions for Bike and Ped Modes –The geographic scale could be wrong –The network is wrong –The input variables are too limited –Trip purpose is usually either too specific or too general

Options and Alternatives –2 options 1.Tweak existing model or “post process” intermediate or final model output 2.Use sketch planning tools outside of formal model –Burden of proof should be on transportation professional –Remind modelers how results will be used: Relative demand for prioritization Mode shift potential