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Research On Logistics Demand Forecasting Of Chifeng

Posted on:2013-07-22Degree:MasterType:Thesis
Country:ChinaCandidate:H B LiuFull Text:PDF
GTID:2249330395959259Subject:Traffic and Transportation Engineering
Abstract/Summary:PDF Full Text Request
Since the introduction of the concept of logistics of the1990s of the last century,with the rapid development of the logistics industry with economic growth in China,logistics demand is growing rapidly with a big sum of the demand of logistics; Chinais becoming a big country of logistics. Along with our national “12th Five-Year Plan”in China, the construction of modern logistics service system is proposed clearly inthe Plan, the construction and convergence of logistics infrastructure should beaccelerated, and the Plan proposes to improve logistics efficiency and reduce logisticscosts, optimize the layout of the development of the logistics industry, to promotemodern logistics management, logistics intelligence and standardization. So the rapiddevelopment of the logistics industry is bound to bring the rapid growth of thelogistics needs.Along with in-depth development of reform and opening policies, andextraordinarily rapid development of the society and the economics in Chifeng,transport has also been greatly developed, and road, rail and air cargo transport is alsofacing significant challenges. Therefore, this article takes a research on logisticsdemands, firstly the article analyzes the relative theories of the logistics demandforecasting, including the concepts, principles, steps and influence factors of thelogistics demand forecasting, and in conjunction with forecasting methods used in thispaper-exponential smoothing method, the gray prediction model and regressionanalysis; in the last chapter, the current status of logistics demand of Chifeng isanalyzed, relating to road, rail and air cargo volume etc., and finally the articlepredicts the freight transport volume of the road, rail and air cargo transport with thecombination of the local economic development and the GDP data involved, so at lastmeasures and countermeasures of how to develop the logistics industry in Chifeng areproposed.
Keywords/Search Tags:Logistics demand, Logistics demand forecasting, Exponential smoothing method, Gray prediction model, Regression analysis, Freight transport volume
PDF Full Text Request
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