01520103

Component

https://doi.org/10.3141/2429-10

http://scholar.google.com...Jeon&publication_year=2014

Activity-based travel demand models use the notion of tours or trip chains as the fundamental building blocks of daily traveler activity-travel patterns. Travelers may undertake a variety of tours during the course of a day, and each tour may include one or more stops where individuals participate in and devote time to the pursuit of activities. This paper presents a framework capable of simulating the complete composition of a tour and offers an approach to model the mix of activities and the time allocated to various activities in a tour. Embedded in the framework is a multiple discrete-continuous extreme value modeling component that was used to model the simultaneous decisions of participating in one or more activities in the course of a tour and of allocating time to each of the activities in the tour. The model was estimated with travel survey data collected in 2008 in the Greater Phoenix Metropolitan Area in Arizona. Validation and policy simulation exercises were conducted to examine the efficacy of the model. The model was found to perform well in replicating tour patterns in the estimation sample and responded in a behaviorally intuitive manner in the context of a policy sensitivity test.

01547309

14-3184

English

pp 90–98

2014

Transportation Research Record: Journal of the Transportation Research Board

9780309295239

Print

Figures (1) ; References (22) ; Tables (4)

Activity choices; Forecasting; Policy; Simulation; Surveys; Time duration; Travel demand; Trip chaining

Phoenix Metropolitan Area

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

TRIS, TRB, ATRI

Jan 27 2014 3:06PM

• Application of Travel Activity Scheduler for Household Agents in a Chinese City
• Associations Generation in Synthetic Population for Transportation Applications: Graph-Theoretic Solution
• Characterizing Household Vehicle Fleet Composition and Count by Type in Integrated Modeling Framework
• Choice Set Imputation: Two-Step Weighted Stratified and Hazard-Based Approach
• Effects of Uncertainty in Speed–Flow Curve Parameters on a Large-Scale Model: Case Study of the Danish National Model
• Extension of Activity-Based Modeling Approach to Incorporate Supply Side of Activities: Examples for Major Universities and Special Events
• Incorporation of Escorting Children to School in Modeling Individual Daily Activity Patterns of Household Members
• Integrated Transport Planning Framework Involving Combined Utility Regret Approach
• Is Sequential Estimation a Suitable Second Best for Estimation of Hybrid Choice Models?
• Joint Modeling of Trip Mode and Departure Time Choices Using Revealed and Stated Preference Data
• Methods for Quantitative Risk Analysis for Travel Demand Model Forecasts
• Model Complexities and Requirements for Multimodal Transport Network Design: Assessment of Classical, State-of-the-Practice, and State-of-the-Research Models
• Modeling Demand Elasticity and Route Overlapping in Stochastic User Equilibrium Through Paired Combinatorial Logit Model
• Modeling Taxi Trip Demand by Time of Day in New York City
• Practical Solutions for Sampling Alternatives in Large-Scale Models
• Spatial Transferability of Tour-Based Time-of-Day Choice Models: Empirical Assessment
• Synthetic Population Generation at Disaggregated Spatial Scales for Land Use and Transportation Microsimulation
• Using Survey Calibration and Statistical Matching to Reweight and Distribute Activity Schedules