Freight Transport Demand Forecasting in Urban Logistics Planning: A Case Study of Yiwu City
Freight Transport Demand Forecasting in Urban Logistics Planning: A Case Study of Yiwu City
Freight transport demand forecasting as one of the basis in urban logistics planning, is not only an important premise of designing a variety of logistics development policies and infrastructure constructions, but also a key indicator to measure whether the logistics planning is reasonable. This paper addresses the methods of the freight transport demand forecasting in urban logistics planning based on a case study of Yiwu city. Considering the change of long-term trend emphatically, conventional trend extrapolation method, regression analysis method, elasticity coefficient method, linear exponential smoothing method and grey model are applied to predict the logistics demand of Yiwu city respectively. Then the results of five kinds of forecasting methods are analyzed to obtain the final forecasting logistics demand.
Document information
Freight Transport Demand Forecasting in Urban Logistics Planning: A Case Study of Yiwu City
Applied Mechanics and Materials ; 505-506 ; 915-921
2014-01-16
7 pages
Article (Journal)
Electronic Resource
English
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