原文传递 Travel Demand Forecasting 2016, Volume 1. Transportation Research Record: Journal of the Transportation Research Board, No. 2563
题名: Travel Demand Forecasting 2016, Volume 1. Transportation Research Record: Journal of the Transportation Research Board, No. 2563
作者: empty
关键词: Travel demand##Trip forecasting##Transportation planning##Traffic estimates##Transportation models##Land use##Tolls##Traffic control##Aggregates##Mobility##Metropolitan areas##Transportation networks##Urban areas##Arterial highways##Methodology##Tables(Data)##Greenhouse effect##Gases##
摘要: Transportation Research Record: Journal of the Transportation Research Board, No. 2493, includes 15 papers that explore information related to travel demand forecasting, including: Population Synthesis in Activity-Based Models: Tabular Rounding in Iterative Proportional Fitting Estimating Route Choice Models from Stochastically Generated Choice Sets on Large-Scale Networks: Correcting for Unequal Sampling Probability. Investigation of Alternative Methods for Modeling Joint Activity Participation. Effects of Autonomous Vehicle Ownership on Trip, Mode, and Route Choice. Exploration of Short-Term Vehicle Utilization Choices in Households with Multiple Vehicle Types. Choice of Workplace Location: Coordination Between Multiple Workers in the Household. Activity Pattern Models with Well-Being Indicators. Modeling Transit Passenger Choices of Access Stop. Activity-Based Model with Dynamic Traffic Assignment and Consideration of Heterogeneous User Preferences and Reliability Valuation: Application to Toll Revenue Forecasting in Chicago, Illinois. Allocation of Individual Nonmandatory Activities to Day Segments in Tour Formation Procedure: Application to Activity-Based Models for Jerusalem, Israel, and Phoenix, Arizona. Using an Activity-Based Model to Explore the Potential Impacts of Automated Vehicles Synthetic Population Generation by Combining a Hierarchical, Simulation-Based Approach with Reweighting by Generalized Raking Integrating CEMDAP and MATSIM to Increase the Transfer ability of Transport Demand Models. Estimation of Annual Mileage Budgets for a Multiple Discrete-Continuous Choice Model of Household Vehicle Ownership and Utilization. Latent-segmentation-Based Approach to Investigating Spatial Transfer-ability of Activity-Travel Models
总页数: 162
报告类型: 科技报告
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