| 1. | Optimization model for forecasting district transportation volume
交通量预测的优化模型 |
| 2. | Grey model - gm and its application to predicting transportation volume
及其在交通运量预测中的应用 |
| 3. | Study on the second stage sampling method of two - stage sampling survey for waterway transportation volume
水路运输量抽样调查中的第二阶抽样方法 |
| 4. | Based on this , the author forecast the main bulk cargo transportation volume and the cargo transportation volume change of the main waterway in jiangsu
第七部分江苏省内河货流预测，概括的对江苏省主要大宗散货、主要航道货运发展趋势预测进行描述。 |
| 5. | To counter the pressure of road system of container port caused by increase of throughput , to research the relation of traffic flow and road transportation volume for container port
摘要针对集装箱港区吞吐量增长给港区公路集疏运系统所带来的压力，研究公路交通量与集装箱公路集疏运量的关系。 |
| 6. | Chapter two concentrates on the analysis of the supply and demand of international dry bulk cargo shipping market , mainly analyse the tendency and influence factors of the market . chapter three forecast the dry bulk cargo transportation volume by means of the time series analysis and grey prediction
第二章国际干散货航运市场供需分析，通过近十年国际干散货航运市场的运力供给、运力需求、运价三个方面实绩的分析，研究了国际干散货航运市场的走势及影响因素。 |
| 7. | Based on the port and waterway superintendence units , we study and screen the detailed method for the sample survey of whole industry waterway transportation volume , including selecting detailed sampling method , determining the appropriate sampling size , designing the calculation formula of all target estimators and their variance estimation
包括选定具体的抽样方法，确定合适的样本量，给出需估计目标量的估计公式及估计量的精度公式，制定详细的样本调查规定和编制科学合理的样本调查表等。 |
| 8. | After analyzing the situation and influences of river shipping in jiangsu province , with qualitative and quantitative analysis methods , this paper forecasts the following contents , including the whole cargo transportation lord , the cargo transportation volume , the main bulk cargo volume and the main waterway volume in jiangsu . the final result is the theory basis of jiangsu river shipping strategy research
本文通过对江苏省内河航运业发展的实际情况和影响因素分析，运用定性和定量的预测方法，对江苏省未来内河货运总量(货运量、货运周转量)发展趋势以及货流情况做出预测，为江苏省内河航运合理定位和发展战略的制定提供必要的数据和理论依据。 |
| 9. | This part concentrates on the analysis of the demand and price index in the container shipping market by means of forecasting and decision technology , and also a fitting forecasting analysis of the container transportation volume in shanghai port and china export container freight index ( cecfi ) , etc , by means of the multi - elemental dynamic related coefficient and the rbf neural network
第二部分，运用预测决策方法对集装箱航运市场的主要供需和运价指数进行研究分析，利用多因素动态相关系数法和rbf (径向基)神经网络预测法等技术分别对上海港集装箱运量和中国出口集装箱运价指数等进行拟合预测分析。 |
| 10. | Therefore , we study on the survey method for the statistics of whole industry waterway transportation volume based on the basic units of ships management and waterway traffic safety superintendence - port and waterway superintendence units ( pws units ) . in this dissertation , we mainly studied and solved the following three problems : 1
由此对依托我国的水上安全监督和船舶航行管理的基层单位? ?港航监督所、监督站和监督点(以下简称为：港航监督所站)开展全行业水路运输量统计调查进行了研究，本论文重点研究和解决了方案设计中以下三方面的问题： ( 1 )依托港航监督所站，进行全行业水路运输量抽样调查的具体方法研究和筛选。 |
