01121616

Component

http://www.trb.org/Publications/Blurbs/160584.aspx

This paper provides a concise summary of important design features of various activity-based model systems that have been implemented or have recently been designed for planning agencies in the United States. The models described are for Portland, Oregon; San Francisco, California; New York; Columbus, Ohio; Atlanta, Georgia; Sacramento, California; the Bay Area of California; and Denver, Colorado. These models were selected because they are in the same family of activity-based models, and one or both of the authors have been involved in the design of all of them except for New York. Two other examples have also been included in the summary table and supplementary text of activity-based models in the United States: the CEMDAP model for Dallas, Texas, and the FAMOS model for southeast Florida (see sidebars, pages 14 and 17). Not included is the TRANSIMS model or the TLUMIP model for Oregon. Although those models share some of the features discussed here, the authors are not sufficiently familiar with them to compare them at the level of detail included here; that, however, could be a useful extension of this paper. All model systems described in this paper share a similar overall structure, with a hierarchy of levels from top to bottom, with the lower choices predicted conditionally on higher-level choices. The levels are: Population synthesis: geographic allocation of households; Longer-term decisions: auto ownership and (in some cases) work and school locations; Person–household day level: number of tours and activities made for various purposes; Tour level: main destination and mode, begin and end times, and number of stops; and Trip level: intermediate stop location and the mode and departure time of each trip. Within this structure, several important design features distinguish the models, and these are summarized in a table. Each paragraph in this paper is a more detailed annotation of a row in the comparison table.

01121602

English

pp 11-20

2008

Transportation Research Board Conference Proceedings

Innovations in Travel Demand Modeling Conference

9780309113434

Print

References; Tables (1)

Forecasting; Metropolitan planning organizations; Microsimulation; Travel demand

CEMDAP (Computer program); FAMOS (Computer model)

Activity-based models

Atlanta (Georgia); Columbus (Ohio); Dallas (Texas); Denver (Colorado); New York Metropolitan Area; Portland (Oregon); Sacramento (California); San Francisco (California); San Francisco Bay Area; Southeast Florida; United States

Highways; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

TRIS, TRB

Feb 11 2009 10:02AM

• A Comparison of Static and Dynamic Traffic Assignment Under Tolls in the Dallas–Fort Worth Region
• An Innovative Methodological Framework to Analyze the Impact of Built Environment Characteristics on Activity–Travel Choices
• Application of a Microsimulation Model for User Benefit Calculation in Transit Projects
• Application of Mid-Ohio Regional Planning Commission Microsimulation Model: New Starts Review
• Companionship for Leisure Activities: An Empirical Analysis Using the American Time Use Survey
• Comprehensive Econometric Microsimulator for Daily Activity-Travel Patterns: Recent Developments and Sensitivity Testing Results
• Data-Oriented Travel Behavior Analysis Based on Probe Person Systems
• Development of Mid-Ohio Regional Planning Commission Tour-Based Model
• Development of New York Metropolitan Transportation Council Tour-Based Model
• Directions for Coordinated Improvement of Travel Surveys and Models
• Dynamic Activity-Travel Diary Data Collection Using a Global Positioning System–Enabled Personal Digital Assistant
• Dynamic Traffic Assignment Model Breakdown
• Hardware Requirements and Running Time for the Mid-Ohio Regional Planning Commission Travel Forecasting Model
• Innovative Methods for Pricing Studies
• Lessons Learned from the Implementation of New York Activity-Based Travel Model
• Levels of Disaggregation and Degrees of Aggregate Constraint in Transportation System Modeling
• Lifelong Education as a Necessary Foundation for Success in Travel Modeling
• Microsimulation of Single-Family Residential Land Use for Market Equilibriums
• Mid-Ohio Regional Planning Commission Model Validation: Summary
• Modeling of Peak Hour Spreading with a Disaggregate Tour-Based Model
• Modeling Short-Term Dynamics in Activity-Travel Patterns: From Aurora to Feathers
• Processing the Denver Travel Survey to Support Tour-Based Modeling: Methods, Data, and Lessons Learned
• Proposed Validation and Sensitivity Testing of Denver Region Activity-Based Models
• The San Francisco Model in Practice: Validation, Testing, and Application
• Traffic Forecasting in a Visioning Workshop Setting
• Urban Arterial Speed–Flow Equations for Travel Demand Models
• Using Activity-Based Models for Policy Decision Making
• Using Global Positioning System Data to Inform Travel Survey Methods
• Validation and Assessment of Activity-Based Travel Demand Modeling Systems
• Validation of Atlanta, Georgia, Regional Commission Population Synthesizer