01518929

Component

https://doi.org/10.3141/2430-22

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

This study investigated the potential changes in transportation patterns in California associated with the development of smart growth–inspired transportation and land use policies through the application of the California Statewide Travel Demand Model (CSTDM). California’s SB (Senate Bill) 375 requires the state’s metropolitan planning organizations (MPOs) to develop sustainable community strategies (SCS) in their regional transportation plans (RTPs) in an effort to reduce greenhouse gas emissions, among other environmental goals, through the integration of land use and transportation planning. Although some SCS were still under development at the time this study was conducted, some concerns had already been raised about whether these proposed policies would be able to achieve the proposed environmental targets. In this study, future transportation demand in California in 2035 was simulated through the application of the CSTDM and the simulation of policy scenarios inspired by the SCS developed before February 2014 by local MPOs. The study provides insights into how proposed land use changes and planned transportation investments would affect both regional and interregional mobility patterns in California. The expected impacts of the proposed policies were compared with a more conservative control scenario based on the previous RTPs developed by MPOs before the introduction of the SCS. Reductions of vehicle miles traveled per capita were predicted for all regions that had developed SCS, with greater reductions in larger metropolitan areas.

01543148

14-4821

English

pp 207–215

2014

Transportation Research Record: Journal of the Transportation Research Board

9780309295185

Print

Figures (1) ; References (27) ; Tables (5)

Environmental impacts; Land use; Metropolitan planning organizations; Regional transportation; Simulation; Sustainable development; Transportation planning; Travel demand; Travel patterns; Vehicle miles of travel

California Statewide Travel Demand Modeling

California

Planning and Forecasting; Transportation (General); I72: Traffic and Transport Planning

PRP, TRIS, TRB, ATRI

Jan 27 2014 3:41PM

• Assessing the Impact of Transportation Policies on Fuel Consumption and Greenhouse Gas Emissions Using a Household Vehicle Fleet Simulator
• 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
• 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