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原文传递 Travel Demand Forecasting 2015: Volume 1. Transportation Research Record: Journal of the Transportation Research Board, No. 2493.

题名：	Travel Demand Forecasting 2015: Volume 1. Transportation Research Record: Journal of the Transportation Research Board, No. 2493.
关键词：	Travel demand, Urban transportation, Rapid transit railways, Regional planning, Travel Demand Forecasting(TDF), Forecasting, Transportation models, California (State), Fuel consumption, Greenhouse gas emissions reduction, Decision making methodologies, Metropolitan planning methodology, Travel demand models, Transportation corridors, Transportation planning, San Francisco(California), San Francisco Bay Area, QUAIL computer programs, Bay Area Rapid Transit
摘要：	Travel Demand Forecasting 2015: Volume 1. TRB’s Transportation Research Record: Journal of the Transportation Research Board, No. 2430 consists of 23 papers that examine modeling demand for bikesharing systems; origin-destination centrality to estimate directional bicycle volumes; imputation of GPS traces forcing full or partial consistency in activity travel sequences; information diffusion in social networks toward sustainable transportation; models of nonmotorized travel demand at intersections in Calgary, Canada; and safety and security in discretionary travel decision making. This issue also summarizes Generation Y’s travel behavior and perceptions of walkability constraints; location-based social networking data; multidimensional indicator analyses for transportation policy evaluation; characterizations of the composition of economic activities in central locations; a cellular agent–based approach incorporating spatial discrete choice methods; and validation of origin–destination data from Bluetooth reidentification and aerial observation. This TRR also explores emissions benefits of bicycle facilities with stand-alone software tools; a comparison of adapted four-step metropolitan planning organization modeling results and planning process findings with actual experience; development of a vehicle fleet composition model system for implementation in an activity-based travel model; models of cyclists’ route choice based on GPS data; and the process of encapsulating and visualizing disaggregated origin-destination desire lines to identify in-demand corridors. Additionally, this TRR examines a choice set generation algorithm used to measure route choice accessibility; the impact of transportation policies on fuel consumption and greenhouse gas emissions using a household vehicle fleet simulator; a cost-effectiveness sketch method for safety investment decision making; empirical models of demand levels and turn-in rates at roadside rest areas; and the impact of proposed land use and transportation investments on future travel patterns in California.
报告类型：	科技报告