01520019

Component

https://doi.org/10.3141/2430-19

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

The application of a comprehensive model system of vehicle fleet composition and evolution is described; this model system is capable of taking a base-year vehicle fleet and making it evolve over time in annual time steps through the events of vehicle disposal, replacement, and acquisition. The model system is sensitive to a host of socioeconomic, demographic, built environment, and vehicle technology and price variables; this sensitivity makes it ideally suited for such an application. Coupled with a demographic forecasting model system that causes the population to evolve over time, the vehicle evolution simulator is able to predict changes in vehicle fleet composition, miles of travel, fuel consumption, and greenhouse gas emissions under a wide range of scenarios. On the basis of the findings from this study, future technological innovations (e.g., increase of driving range) and pricing levels (doubling of gas cost) will have greater impacts on vehicle fleet composition, utilization, energy consumption, and greenhouse gas emissions than more incentive-based approaches such as free access to high-occupancy vehicle lanes for alternative-fuel vehicles.

01543148

14-4896

English

0000-0002-0715-8121

pp 182–190

2014

Transportation Research Record: Journal of the Transportation Research Board

9780309295185

Print

References (16) ; Tables (2)

Fuel consumption; Greenhouse gases; Households; Pollutants; Simulation; Transportation policy; Vehicle fleets

Environment; Highways; Planning and Forecasting; I15: Environment; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Jan 27 2014 3:43PM

• Cellular Agent–Based Approach Incorporating Spatial Discrete Choice Methods: Simulation of Future Land Use Impacts of High-Speed Rail on Aveiro, Portugal
• Characterizing the Composition of Economic Activities in Central Locations: Graph-Theoretic Approach to Urban Network Analysis
• Choice Set Generation Algorithm Suitable for Measuring Route Choice Accessibility
• Cost-Effectiveness Sketch Method for Safety Investment Decision Making
• Development of Vehicle Fleet Composition Model System for Implementation in Activity-Based Travel Model
• Empirical Models of Demand Levels and Turn-In Rates at Roadside Rest Areas
• Encapsulating and Visualizing Disaggregated Origin–Destination Desire Lines to Identify Demand Corridors
• Enhanced Imputation of GPS Traces Forcing Full or Partial Consistency in Activity Travel Sequences: Comparison of Algorithms
• Estimating Emissions Benefits of Bicycle Facilities with Stand-Alone Software Tools: Incremental Nested Logit Analysis of Bicycle Trips in California’s Monterey Bay Area
• From Personal Attitudes to Public Opinion: Information Diffusion in Social Networks Toward Sustainable Transportation
• Generation Y’s Travel Behavior and Perceptions of Walkability Constraints
• Impact of Proposed Land Use and Transportation Investments on Future Travel Patterns in California
• Location-Based Social Networking Data: Exploration into Use of Doubly Constrained Gravity Model for Origin–Destination Estimation
• Modeling Cyclists’ Route Choice Based on GPS Data
• Modeling Demand for Bikesharing Systems: Neighboring Stations as Source for Demand and Reason for Structural Breaks
• Modeling Nonmotorized Travel Demand at Intersections in Calgary, Canada: Use of Traffic Counts and Geographic Information System Data
• Multidimensional Indicator Analysis for Transport Policy Evaluation
• Safety and Security in Discretionary Travel Decision Making: Focus on Active Travel Mode and Destination Choice
• Using Origin–Destination Centrality to Estimate Directional Bicycle Volumes
• Validation of Origin–Destination Data from Bluetooth Reidentification and Aerial Observation
• Wildfire Evacuation Scenario in Colorado: Comparison of Adapted Four-Step Metropolitan Planning Organization Modeling Results and Planning Process Findings with Actual Experience