Chapter
Nov 12, 2013
Parking Demand Forecasting for CBD Based on Shared Parking
Authors: Jingheng Zheng [email protected], Jun Chen [email protected], Kai Xie [email protected], Xingchen Yan [email protected], and Lei Cai [email protected]Author Affiliations
Publication: ICTE 2013: Safety, Speediness, Intelligence, Low-Carbon, Innovation
Abstract
Conventional parking demand forecasting methods are likely to overestimate the mixed land-use case by simply adding up the entire peak parking demand of all types of land uses. Focusing on the CBD of urban area, taking its land and traffic characteristics into consideration, based on the intensity of trip attraction and traffic mode split, a model of parking demand forecasting for shared parking facilities in CBD was presented.
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ICTE 2013: Safety, Speediness, Intelligence, Low-Carbon, Innovation
Pages: 2157 - 2161
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© 2013 American Society of Civil Engineers.
History
Published online: Nov 12, 2013
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Transportation College, Southeast University, PO Box 210096, Nanjing, Jiangsu. E-mail: [email protected]
Transportation College, Southeast University, PO Box 210096, Nanjing, Jiangsu. E-mail: [email protected]
Transportation College, Southeast University, PO Box 210096, Nanjing, Jiangsu. E-mail: [email protected]
Transportation College, Southeast University, PO Box 210096, Nanjing, Jiangsu. E-mail: [email protected]
Transportation College, Southeast University, PO Box 210096, Nanjing, Jiangsu. E-mail: [email protected]
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