Impact of Ningbo Port Logistics on Regional Economic Development of Zhejiang Province

In related academic circles, the research on port logistics industry and regional economic development has become a hot topic in recent years, and there are already extensive studies about this topic. Taking Ningbo Port as an example, this paper analyzed its logistics development status, and discussed the existing problems. Besides, taking the time series data of Ningbo Port from 2007 to 2016 as sample data, and using the quantitative analysis methods such as correlation analysis and regression analysis, it systematically studied the interaction between the port development and regional economic development. Finally, on the basis of the problems, it came up with some recommendations.

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.

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.

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

Development of Agricultural Product Logistics in Tianjin in the Context of the Coordinated Development Strategy of Beijing-Tianjin-Hebei Region

Since February 26,2014,Chinese president Xi Jinping of the Central Committee of the Communist Party of China listened to the report on the coordinated development of Beijing-Tianjin-Hebei Region and delivered an important speech,and officially raised the coordinated development of Beijing-Tianjin-Hebei Region as a major national strategy,the integration of Beijing-Tianjin-Hebei Region has entered the"fast lane".Guided by accelerating the construction of agricultural product supply areas,agricultural high-tech industry demonstration areas,and agricultural product logistics center areas,Tianjin seizes the opportunity of coordinated development of Beijing-Tianjin-Hebei Region,brings into full play to the advantages of Tianjin s three-dimensional transportation network,perfect market system,high-quality port services,rapid growth of cold chain and e-commerce,to promote the faster and better development of Tianjin s agriculture.In addition,focusing on comprehensively improving Tianjin s regional agricultural product logistics service capabilities,Tianjin is establishing a distribution center for agricultural products,an e-commerce center,and a high-end agricultural product distribution center serving the Beijing-Tianjin-Hebei Region,to promote the construction of Tianjin agricultural product logistics center.

Prediction of the Logistics Demand Based on an Innovative Mixed Model: an Empirical Case from Nanping City,China

The research intends to make scientific prediction of the logistics demand of Nanping City based on mathematical model calculation so as to provide reasonable strategic guidance for the sustainable and healthy development of urban logistics industry.It constructs a comprehensive index system composed of freight volume and other eight relevant economic indices to form the foundation for the model construction.Combining forecasting models of principal component regression and GM(1,1)together,it makes mathematical calculation to predict the logistics demand of Nanping City from the years 2018 to 2022.The research makes systematical analyses of the indices influencing the precise prediction of logistics demand from a new perspective,which offers an innovative and practical option for urban logistics prediction.In line with the prediction,it offers some suggestions for the improvement of demand prediction and some strategies for the better development of the logistics industry in Nanping City.

Using Statistical Learning Algorithms in Regional Landslide Susceptibility Zonation with Limited Landslide Field Data

Regional Landslide Susceptibility Zonation(LSZ) is always challenged by the available amount of field data, especially in southwestern China where large mountainous areas and limited field information coincide. Statistical learning algorithms are believed to be superior to traditional statistical algorithms for their data adaptability. The aim of the paper is to evaluate how statistical learning algorithms perform on regional LSZ with limited field data. The focus is on three statistical learning algorithms, Logistic Regression(LR), Artificial Neural Networks(ANN) and Support Vector Machine(SVM). Hanzhong city, a landslide prone area in southwestern China is taken as a study case. Nine environmental factors are selected as inputs. The accuracies of the resulting LSZ maps are evaluated through landslide density analysis(LDA), receiver operating characteristic(ROC) curves and Kappa index statistics. The dependence of the algorithm on the size of field samples is examined by varying the sizes of the training set. The SVM has proven to be the most accurate and the most stable algorithm at small training set sizes and on all known landslide sizes. The accuracy of SVM shows a steadilyincreasing trend and reaches a high level at a small size of the training set, while accuracies of LR and ANN algorithms show distinct fluctuations. The geomorphological interpretations confirm the strength of SVM on all landslide sizes. Our results show that the strengths of SVM in generalization capability and model robustness make it an appropriate and efficient tool for regional LSZ with limited landslide field samples.

Comprehensive Evaluation of Sichuan Province Logistics Ability Based On Principal Component Analysis

Regional economy is the foundation for the development of the regional logistics and regional logistics as the support of the regional economic development, both interdependence, coordinated development, become the important factor of regional economic sus-tained and rapid development. This article selects relevant statistical data from 2002 to 2011 in Sichuan province were analyzed, and the quantitative mathematical model was established based on principal component analysis （pca）, and through the model for comprehensive evaluation of regional logistics caoability of Sichuan orovince.

SWOT Analysis of Agricultural Product Logistics Development——A Case Study of Shaanxi Province

SWOT method is used to analyze strengths and weaknesses in internal environment and opportunities and threats in external environment of development of agricultural product logistics in Shaanxi Province. The research indicates that the logistic development strategy of agricultural products in Shaanxi Province should bring into full play strengths in traffic, production, labor force, and science and technology. Besides, it is required to overcome weaknesses in information mechanism and management mode. Furthermore, we should take full advantage of domestic and international resources to develop famous, excellent and special products, to achieve high-efficient, rapid, and convenient development of logistics for agricultural products.

Accounting for the Effects of Climate Variability in Regional Flood Frequency Estimates in Western Nigeria

Extreme flood events are becoming more frequent and intense in recent times, owing to climate change and other anthropogenic factors. Nigeria, the case-study for this research experiences recurrent flooding, with the most disastrous being the 2012 flood event that resulted in unprecedented damage to infrastructure, displacement of people, socio-economic disruption, and loss of lives. To mitigate and minimize the impact of such floods now and in the future, effective planning is required, underpinned by analytics based on reliable data and information. Such data are seldom available in many developing regions, owing to financial, technical, and organizational drawbacks that result in short-length and inadequate historical data that are prone to uncertainties if directly applied for flood frequency estimation. This study applies regional Flood Frequency Analysis (FFA) to curtail deficiencies in historical data, by agglomerating data from various sites with similar hydro-geomorphological characteristics and is governed by a similar probability distribution, differing only by an “index-flood”;as well as accounting for climate variability effect. Data from 17 gauging stations within the Ogun-Osun River Basin in Western Nigeria were analysed, resulting in the delineation of 3 sub-regions, of which 2 were homogeneous and 1 heterogeneous. The Generalized Logistic distribution was fitted to the annual maximum flood series for the 2 homogeneous regions to estimate flood magnitudes and the probability of occurrence while accounting for climate variability. The influence of climate variability on flood estimates in the region was linked to the Madden-Julian Oscillation (MJO) climate indices and resulted in increased flood magnitude for regional and direct flood frequency estimates varying from 0% - 35% and demonstrate that multi-decadal changes in atmospheric conditions influence both small and large floods. The results reveal the value of considering climate variability for flood frequency analysis, especially when non-stationarity is established by homogeneity analysis.

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.

琼粤相向发展中海口港与湛江港物流基础设施互联互通路径探讨

区域经济一体化和现代物流体系建设已成为提升国家竞争力的关键战略。海口港和湛江港作为琼粤两省联系最为紧密的港口,其互联互通水平直接影响着琼粤乃至海南与全国其他地方的物流效率。在分析琼粤两省相向发展战略背景的基础上,阐述海口港与湛江港物流基础设施建设的现状,指出两地在物流基础设施建设、物流信息共享机制、区域协同建设、港航绿色物流建设等方面存在不足。应通过强化国家和地方政策推动,优化港口基础设施建设;加大信息技术投入,共建物流信息共享平台;提高共建、共管、利益共享的协同水平;共建区域港口集群,充分发挥协同效应;推动港口绿色物流协调发展,打造中国智慧范例等路径,推动琼粤两地物流基础设施的互联互通。

基于Logistic-CA-Markov的土地利用景观格局变化——以京津冀都市圈为例

以京津冀都市圈为例,运用马尔科夫转移矩阵、景观格局指数和Logistic-CA-Markov耦合模型等,对各地类转移情况、景观格局特征、影响因子和未来变化趋势进行分析和多情景模拟。结果表明:①景观水平上,总体景观破碎化程度加大。类型水平上,耕地、草地和林地是主导优势地类。②1985～2000年之间,耕地主要流向城乡居民点及工矿用地、水域和林地;城乡居民点及工矿用地的增加主要来自于耕地、草地、林地。③各个地类的分布均与原有地类的距离密切相关。④对土地利用变化设置三个模拟情景,按情景1,1985～2030年耕地、林地、草地、未利用地均不同程度减少;城乡居民点及工矿用地、水域明显增加,表明这期间城市化进程明显加快,建设用地不断占用周围的耕地。

区域运输结构的自组织演化机制研究——基于logistic模型的分析

运输结构是指各种运输方式在运输过程形成的功能构成和资源配置。本文尝试运用自组织理论的原理和方法,探讨了区域综合运输体系结构变化的影响因素和自组织机制,应用涌现原理、反馈原理、涨落原理和环境选择原理分析运输系统结构演化的过程,建立了运输结构自组织演化的Logistic模型,并结合湖北省沿江经济带的案例,对区域货物运输结构演化的过程和趋势以及各种运输方式之间的相互影响关系进行了分析,同时提出了自组织理论对区域运输体系建设发展的启示。

基于GIS和Logistic模型的香榧生态适宜性评价

研究香榧栽培的生态适宜性将为香榧的引种、扩种和区划提供理论依据。该研究在GIS支持下,以地学数据库为基础,以logistic回归模型为手段,利用高分辨率遥感影像、数字高程模型以及土壤、气象和实地调查等资料对研究区香榧生态适宜性开展精确评价。研究结果表明,香榧栽培高度适宜区和中度适宜区累计占总面积的61.7%,其中高度适宜区面积达183hm2,占总面积的11.4%,说明研究区香榧栽培发展潜力巨大。该评价结果为当地香榧资源产业化发展提供了科学依据。

基于复合Logistic发展机制的区域物流生态系统演化机理

区域物流主体在各自生态位上肩负着区域物流发展的使命,它们通过生态链联系耦合形成一类互利共存的组织生态系统。文章基于生态系统隐喻,提出区域物流生态系统概念,构建Logistic生长曲线演化方程,分析系统在内外力量的共同作用和正负反馈机制的共同影响下自组织演化特征,进而建立复合logistic发展机制方程,对区域物流生态系统自组织演化机制和轨迹曲线进行分析,为区域物流的科学认识和产业调控提供参考。

基于Logistic回归的零件图像区域提取

针对机器人自动化生产线中视觉定位零件的问题进行了研究,为了能够快速地在复杂背景中提取出零件图像区域,提出了一种基于Logistic回归的零件图像区域提取的机器视觉算法。首先,在工作场景图像中采集若干正类和负类样本点;然后,将样本点的BGR值进行格式上的整理并保存;其次,将整理的数据代入按照梯度上升法推导的公式中,计算Logistic最佳回归系数;最后,载入待处理图像,使用Logistic回归分类器对其中的每个像素进行分类,提取出零件区域。实验表明,该算法提取出的零件图像区域边缘清晰,实时性高,且由于输入为像素点的BGR值,所以对零件的外形没有要求,也不需要额外的夹具。

基于Logistic模型的宁夏优质枸杞购买意愿影响因素研究

随着我国居民生活水平的不断提升,消费者对无公害、绿色和有机枸杞产品的需求量也越来越高。通过对消费者实地调研数据进行分析,探讨了消费者个人特征、家庭情况、品牌忠诚以及价格变动对购买宁夏优质枸杞意愿的影响作用。在此基础上,针对开拓宁夏优质枸杞的消费市场、提升优质枸杞的品牌知名度、促进优质枸杞产业生态化发展提出了相关建议。