Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/22102
Title: A fuzzy method for predicting the demand for rail freight transportation
Authors: Wong, WG
Niu, H
Ferreira, L
Issue Date: 2003
Publisher: John Wiley & Sons
Source: Journal of advanced transportation, 2003, v. 37, no. 2, p. 159-171 How to cite?
Journal: Journal of advanced transportation 
Abstract: The demand for rail freight transportation is a continuously changing process over space and time and is affected by many quantitative and qualitative factors. In order to develop a more rational transport planning process to be followed by railway organizations, there is a need to accurately forecast freight demand under a dynamic and uncertain environment.. In conventional linear regression analysis, the deviations between the observed and the estimated values are supposed to be due to observation errors. In this paper, taking a different perspective, these deviations are regarded as the fuzziness of the system's structure. The details of fuzzy linear regression method are put forward and discussed in the paper. Based on an analyzes of the characteristics of the rail transportation problem, the proposed model was successfully applied to a real example from China. The results of that application are also presented here.
URI: http://hdl.handle.net/10397/22102
ISSN: 0197-6729
EISSN: 2042-3195
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