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Entropy-based estimation of transfers in a terminal
Authors:Lishan Sun  Jian Rong  Liya Yao  Hao Xu
Institution:1. Key Laboratory of Traffic Engineering , Beijing University of Technology , Beijing , 100124 , China;2. School of Mechanical and Vehicular Engineering , Beijing Institute of Technology , Beijing , 100081 , China;3. Department of Civil &4. Environmental Engineering , Texas Tech University , 2500 Broadway, Lubbock , TX , 79409 , USA
Abstract:An intermodal transportation terminal is a facility that provides commuters with easy transfer between transit modes and providers such as buses, light rail, subway, taxis, airport shuttles, and commuter rail. The probability of a passenger transferring from one mode to another and the estimation of total transfer demand are of great importance to both practitioners and researchers when determining optimal design alternatives as well as the best control and management policies for daily operation of the terminal. This article presents a study that uses an entropy-based optimization approach to estimate the transfer demands between the available transportation modes in an intermodal transportation terminal. The development and calibration of the entropy model is presented in the first part of the article, which is followed by a case study of the SiHui Intermodal Terminal in Beijing, China.
Keywords:transfer demand  intermodal transportation terminal  entropy model
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