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

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.