01099571

Component

https://doi.org/10.3141/2054-12

http://scholar.google.com...upta&publication_year=2008

Travel demand models and network simulation models are distinct sets of procedures that are combined and interact within the framework of regional transportation modeling systems. Conventional four-step models have numerous limitations compared with more advanced activity-based microsimulation models, primarily with respect to internal consistency and detailed behavioral realism. However, two of the remaining advantages of four-step models are an established theory and an effective set of practical rules for achieving global network equilibrium so that travel time and cost simulated in the networks exactly correspond to the demand (trip tables) generated by the model. Nonetheless, this issue remains less explored and somewhat obscure for activity-based models. These models have a more complicated analytical structure compared with four-step models, which makes it difficult to derive equilibrium conditions in a rigorous theoretical manner. In addition, implementation of an activity-based model requires microsimulation of individual outcomes in the form of “crisp” discrete choices that is very different from the summation of fractional probabilities implemented in conventional models. This paper documents the results of testing various equilibrium strategies implemented with the New York City activity-based microsimulation regional travel demand model used by the New York Metropolitan Transportation Council. The purpose of the paper is twofold. First, it is intended to outline some fundamental research directions and extensions of the network equilibrium theory to cover activity-based microsimulation models in a more rigorous way. Second, it describes realistic levels of convergence that can be achieved with activity-based microsimulation models in practice and establishes practical rules and protocols for using these types of models for different projects and policies.

01113825

English

pp 102-109

2008

Transportation Research Record: Journal of the Transportation Research Board

9780309113243

Print

Figures (3) ; References (9)

Equilibrium (Systems); Microsimulation; Travel demand

Activity based modeling; Discrete choice; Network equilibrium model

New York (New York)

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

TRIS, TRB, ATRI

Jan 29 2008 4:00PM

• Analysis of Activity Conflict Resolution Strategies
• Analysis of Planning Decisions During the Activity-Scheduling Process
• Destination Choice in Daily Activity Travel: Mental Map’s Repertoire
• Examining the Nature and Extent of the Activity-Travel Preplanning Decision Process
• Improved Motif Identification of Activity Sequences: Application to Interactive Computer Experiment Data
• Random Utility-Based Microeconomic Model for Discretionary Activity Time Allocation
• Studying Differences of Household Weekday and Weekend Activities: A Duration Perspective
• Synchronicity of Activity Engagement and Travel in Time and Space: Descriptors and Correlates of Field Observations
• Tour-Based Time-of-Day Choices for Weekend Nonwork Activities
• Variability of Travel over Multiple Days: Analysis of Three Panel Waves
• Weekly Rhythm in Joint Time Expenditure for All At-Home and Out-of-Home Activities: Application of Kuhn-Tucker Demand System Model Using Multiweek Travel Diary Data