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Sep 21, 2015
Prediction of High Speed Railway Passenger Demand Volume Based on Grey Relational Analysis
Authors: Wenyu Rong [email protected], Di Liu [email protected], and Xi He [email protected]Author Affiliations
Publication: ICTE 2015
Abstract
The prediction of high speed railway passenger demand volume is important for not only development of railway but also meeting the passenger transport demand. Because of the volatility and uncertainty of the passenger transport demand, this paper puts forward a regression forecasting model based on Grey Relational Analysis (GRA). The correlation between passenger demand and its influencing factors is worked out by using GRA. A multivariate nonlinear regression equation is established to predict high speed railway passenger demand volume. Base on the method, a more reasonable transportation plan and marketing strategy can be developed to meet passenger transport demand better.
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© 2015 American Society of Civil Engineers.
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Published online: Sep 21, 2015
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School of Traffic and Transportation Engineering, Dalian Jiaotong University, Dalian 116028, China. E-mail: [email protected]
School of Traffic and Transportation Engineering, Dalian Jiaotong University, Dalian 116028, China. E-mail: [email protected]
School of Traffic and Transportation Engineering, Dalian Jiaotong University, Dalian 116028, China. E-mail: [email protected]
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