Regional Logistics Demand Forecast Based on Least Square and Radial Basis Function

Regional logistics demand forecast is the basis for government departments to make logistics planning and logistics related policies.It has the characteristics of a small amount of data and being nonlinear,so the traditional prediction method can not guarantee the accuracy of prediction.Taking Xiamen City as an example,this paper selects the primary industry,the secondary industry,the tertiary industry,the total amount of investment in fixed assets,total import and export volume,per capita consumption expenditure,and the total retail sales of social consumer goods as the influencing factors,and uses a combining model least square and radial basis function(LS-RBF)neural network to analyze the related data from years 2000 to 2019,so as to predict the logistics demand from years 2020 to 2024.The model can well fit the training data,and the experimental results obtained from the comparison between the predicted value and the actual value in 2019 show that the error rate is very small.Therefore,the prediction results are reasonable and reliable.This method has high prediction accuracy,and it is suitable for irregular regional logistics demand forecast.

Empirical study on evaluation of regional agri-food logistics capability in e-commerce environment based on factor analysis A case study of Hebei province

With SPSS16.0 software, this paper chooses the statistical data of 11 cities in Hebei province to empirically study the agri-food logistics capability based on the method of factor analysis, and finally obtains the ranking of the 11 cities. It shows that, factor-cluster analysis is an effective method to analyze the logistics capability of agri-food. It can simplify the original complicated problem and lead to an objective, reliable and convincing conclusion.

The Cooperation of Industrial Clusters and Regional Logistics of Shaanxi Province: An Evaluation Research

As a middle organization between enterprise organization which gains the competition advantage and eration of industrial clusters and regional logistics refers development of modern regional logistics. On the basis and market, industrial cluster is now the space industrial innovation advantage for a nation or a region. The coop- to improvement of industrial clusters＇ competitiveness and of reviewing the recent years＇ situation of Shaanxi Prov- ince＇s regional logistics and its industrial clusters, this paper analyzes positively about the supporting role of the regional logistics, builds gray relational model by choosing corresponding indicators, and carries out test of signif- icance. Finally it brings out strategic recommendations to and regional logistics enhance the level of cooperation of industrial clusters

Analysis of China＇s Logistics Market and the Cooperation in Northeast Asia

In recent years, China＇s logistics market has developed very fast, characterized in demand and supply aspects. Such increase in logistics and other industries of China＇s economy, give more opportunity to the cooperation of logistics system in Northeast Asia. This paper will give more detailed analysis on the logistics market in China with the data coming from the recent survey of the research center of logistics in Nankai University and National Development and Reform Commission.

The Status Quo and Policy to Develop International Logistics Aiming at Southeast Asia in Yunnan Province

This article focuses on the regional advantages to develop international logistics aiming at Southeast Asia in Yunnan province and intends to prove that it＇s of great significance to develop this kind of international logistics. Further, it analyzes the status quo, market demand and problems existing in Yunnan＇s international logistics and puts forward proposals as how to develop international logistics aiming at Southeast Asia in Yunnan province.

A Study of Mathematic Model to the Development of Regional Industry Cluster

This paper analyzes the factors that influence the development of regional industry cluster, which are location factors, accumulatable factors, and external factors. Then regarding the similarity between the development of industry cluster and biology community, a modified logistic model is built, and a field study is made between the real instances and the model.

Prediction Method for Regional Logistics

Currently applied prediction methods of regional freight traffic and freight ton-kilometer forecasting were analyzed using typical Chinese regional goods transportation characteristics. The review of prediction methods showes that practical planning experts tend to apply the traditional methods which are easier to implement. The comparison also demonstrates that a combination of traditional methods is more effective than the simple models for practical planning. Research using the statistical data for the Yangtze Delta, Pearl River Delta, and Bohai Rim areas shows that ignoring differences between transport modes impacts the prediction accuracy. The four main transport modes suit different methods. The results show that the power model is better for railways, and the linear model is better for highways and waterways. Thus a combined model gives better results for all modes. The results for regional systems can be generalized to national transportation systems.