01340241

Component

https://doi.org/10.3141/2255-04

http://scholar.google.com...yala&publication_year=2011

Tour-based microsimulation model systems are increasingly being applied to the forecasting of travel demand. This paper examines the relationship between two dimensions of tours: the type of vehicle (in a household that owns multiple vehicles of different types) chosen to undertake the tour and the overall length (distance traveled) of the tour. These two dimensions are of much interest in the current planning context, in which concerns about energy sustainability and greenhouse gas emissions are motivating planners to seek ways to mitigate the adverse impacts of automotive travel. Moreover, virtually all tour-based models currently used do not explicitly account for choice of vehicle type in the modeling of tour attributes, despite the critical importance of the choice of vehicle type for energy and emissions analysis. This paper presents a joint discrete–continuous model of choice of vehicle type and length of tours. Estimation results suggested that significant common unobserved factors affected vehicle type choice and length of tours. These factors justified the use of modeling approaches with joint simultaneous equations to model tour attributes. The model specification in which vehicle type choice affected tour length performed better than the specification in which tour length affected vehicle type choice. This outcome suggested that choice of vehicle type (and allocation to household members) was a longer-term choice that influenced shorter-term tour-length choices.

01364025

11-1086

English

pp 28-37

2011

Transportation Research Record: Journal of the Transportation Research Board

9780309222907

Print

References (30) ; Tables (4)

Automobile travel; Greenhouse gases; Microsimulation; Sustainable transportation; Travel by vehicle type; Travel demand; Trip length

Tour-based models; Vehicle choice

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

TRIS, TRB

Feb 17 2011 5:40PM

• Bottleneck and Queuing Analysis: Calibrating Volume–Delay Functions of Travel Demand Models
• Change in Land Use Through Microsimulation of Market Dynamics: Agent-Based Model of Land Development and Locator Bidding in Austin, Texas
• Cross-Entropy Optimization Model for Population Synthesis in Activity-Based Microsimulation Models
• Development of Indicators of Opportunity-Based Accessibility
• Forecasting Location of New Housing in Integrated Models of Land Use: Perspective of Developers in the Portland, Oregon, Region
• Historical Validation of an Integrated Transport–Land Use Model System
• Incremental Integration of Land Use and Activity-Based Travel Modeling: Workplace Choices and Travel Demand
• Integration of Activity-Based with Agent-Based Models: Case of Tel Aviv, Israel
• Investigation of Parking Dwell Time at Rest Areas on Rural Highways
• Modeling of Effects of Peak Load Pricing on Metropolitan Network and Activities
• Modeling of Job Mobility and Location Choice Decisions
• Problem of Transshipment in Travel Forecasting: Model of Tour Structures
• Simulation of Impact of Strategy Development Frameworks on Performance of Transportation Infrastructure
• Simultaneous Modeling of Endogenous Influence of Urban Form and Public Transit Accessibility on Distance Traveled
• Traffic Use of Rest Areas on Rural Highways: Recent Empirical Study
• Travel by University Students in Virginia: Is This Travel Different from Travel by the General Population?
• What Happens When Government Workers Move to the Suburbs? Impact on Transport of Planned Decentralization of Employment in Brisbane, Australia