01121625

Component

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

The activity-based travel–modeling paradigm recognizes that individuals undertake activity and travel not only independently but also together with other household and nonhousehold members. It has also been argued that the desire for interaction with other people is an important stimulus for activity–travel generation and therefore warrants treatment in travel–demand models. However, Axhausen (2005) notes that this important social dimension of activity–travel behavior is not accommodated in travel modeling. Further, the modeling of interpersonal interdependencies in activity–travel patterns is necessary for realistic forecasts of travel patterns under alternate socioeconomic–technological scenarios and due to changes in land use and transportation system characteristics. The goal of this study is to contribute to the understanding of activities and travel pursued by individuals jointly with household and nonhousehold members. Toward that end, there are two major tasks. First, an analysis is undertaken to determine the extent to which each activity type is pursued jointly. Further, this analysis aims to illustrate the differences in the companion-type choices (household versus nonhousehold members) across the activity types. The next task is focused on leisure activities. The motivation for this focus is that, among all activity types, the desire for companionship for leisure is likely to be highest. Specifically, models are developed to examine the impacts of demographic characteristics, day of the week, and activity episode durations on the choice of companion type. This paper is organized as follows. The section following the introduction describes the data used in this analysis. The empirical results are presented in the section that follows. The final section provides a summary and highlights the insights from this study.

01121602

English

0000-0002-0715-8121

pp 129-136

2008

Transportation Research Board Conference Proceedings

Innovations in Travel Demand Modeling Conference

9780309113434

Print

References; Tables (7)

Demographics; Forecasting; Households; Leisure time; Time duration; Travel behavior; Travel demand

Activity-based models; Interpersonal relationships

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

TRIS, TRB

Feb 12 2009 3:26PM

• 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
• Comprehensive Econometric Microsimulator for Daily Activity-Travel Patterns: Recent Developments and Sensitivity Testing Results
• Data-Oriented Travel Behavior Analysis Based on Probe Person Systems
• Design Features of Activity-Based Microsimulation Models for U.S. Metropolitan Planning Organizations: A Summary
• 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