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针对宁波-舟山港港口吞吐量预测需要,引入指数平滑法的应用,提出了在二次指数平滑、对数二次指数平滑和三次指数平滑模型中,采用两层不同步长搜索算法,选取出使误差最小的平滑系数,对宁波-舟山港2009-2011年港口吞吐量进行预测建模。通过前三年预测结果和实际误差的反馈分析,加权确定了预测模型中的平滑系数,建立了基于三次指数平滑的预测模型,对2012-2014年港口吞吐量进行了预测。根据2012年该港实际港口吞吐量进行比较,该预测方法比较精确。 相似文献
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三次指数平滑法在港口吞吐量预测中的应用 总被引:10,自引:0,他引:10
港口吞吐量是港口发展战略研究的重要内容。正确预测港口吞吐量,对于合理科学的港口布局、基本设施投资规模、营运策略、发展战略以及与集疏运相关的综合运输的规划是十分重要的,并且事关港口经济腹地国民经济的发展和我国在国际经济中的竞争力,所以意义特别重大。在进行港口吞吐量的预测时,过去人们常采用回归分析法和二次指数平滑法等方法。本文提出了在港口吞吐量预测中采用三次指数平滑法预测技术,并用一个实例证明了方法的有效性。 相似文献
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以大连港历史数据为依据,运用指数平滑、回归分析、弹性系数法等对大连港集装箱吞吐量进行预测分析,并在原有预测方法的基础上提出一种新的组合预测模型,通过对各预测结果的比较。证明此模型在港口吞吐量预测中有较高的精度。 相似文献
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港口集装箱吞吐量的合理预测对提高港口竞争力与经济效益具有决定意义。为了提高港口集装箱吞吐量预测精度,分别采用时间序列法中的三次指数平滑法、灰色GM(1,1)法和因果分析法中的多元回归分析法对集装箱吞吐量进行预测。在此基础上运用多元回归法进行吞吐量预测模型的组合分析,根据预测结果与实际吞吐量进行优化组合研究并建立预测综合模型。综合模型融合了前三种方法的优点,克服了单一预测方法的不确定性,改善预测效果,更加适合于南京港集装箱吞吐量的实际预测。 相似文献
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基于组合模型的港口集装箱吞吐量预测方法 总被引:1,自引:0,他引:1
以某港1990~2003年集装箱吞吐量为实测数据,建立其集装箱吞吐量的和灰色系统等预测模型。对比该港2004~2006年集装箱吞吐量各模型预测值与实际值的差异,分析了差异产生的原因及其单一预测模型的局限性,提出了基于组合预测的港口集装箱吞吐量预测法。对港港口集装箱吞吐量发展趋势进行预测,作为未来对港口岸线资源有效的开发利用,基础设施的合理规划、建设以及港口功能拓展的依据是很有必要的。 相似文献
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从可能影响港口吞吐量的若干因素出发,利用统计软件,采用主成分分析法提取最关键因素,基于太仓港的实证分析,剖析了港口吞吐量的内在影响机理,为未来太仓港的发展提供理论依据. 相似文献
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在编制港口总体规划过程中,港口吞吐量的预测对于提出规划方案至关重要,支持向量机(SVM)方法是港口吞吐量预测较为常见和有效的预测方法。针对港口吞吐量预测影响因素复杂的问题,以荆州港总体规划为实例,研究分析了影响港口吞吐量的主要指标因素。在采用SVM预测方法的基础上,运用遗传算法(GA)、网格搜索算法(GS)对SVM模型主要参数进行优化改进,GA-SVM和GS-SVM模型预测结果都是在支持向量机预测方法的基础上,采用遗传算法和GS方法对支持向量机模型的主要参数进行优化和改进,并用MSE和R2检验了遗传支持向量机和GS支持向量机模型的预测结果。改进后的SVM模型是在当前研究成果基础上提出的一种新港口吞吐量预测方法,可将该模型在港口总体规划工作中进行推广应用。 相似文献
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江苏沿海港口吞吐量影响因素及预测分析 总被引:1,自引:0,他引:1
目前江苏沿海地区综合开发已上升到国家发展战略层面,沿海港口建设正在迅猛开展。港口吞吐量的预测对于港口的建设有着极其重要的意义。以港口和腹地之间的互动关系为出发点,分析了可能影响江苏沿海港口吞吐量的若干因素,采用主成分分析法提取了过去10年影响港口吞吐量的最关键因素,剖析了江苏港口发展的内在影响机理,并提出了基于影响机理的预测模型。最后使用模型对江苏港口吞吐量进行验证分析,模型为江苏沿海港口新一轮发展提供了有力的数据支撑。 相似文献
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In order to more accurately examine developing trends in gross cargo throughput, we have modeled the probability distribution of cargo throughput. Gross cargo throughput is determined by the time spent by cargo ships in the port and the operating efficiency of handling equipment. Gross cargo throughput is the sum of all compound variables determining each aspect of cargo throughput for every cargo ship arriving at the port. Probability distribution was determined using the Wald equation. The results show that the variability of gross cargo throughput primarily depends on the different times required by different cargo ships arriving at the port. This model overcomes the shortcoming of previous models: inability to accurately determine the probability of a specific value of future gross cargo throughput. Our proposed model of cargo throughput depends on the relationship between time required by a cargo ship arriving at the port and the operational capacity of handling equipment at the port. At the same time, key factors affecting gross cargo throughput are analyzed. In order to test the efficiency of the model, the cargo volume of a port in Shandong Province was used as an example. In the case study the actual results matched our theoretical analysis. 相似文献
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The Chinese government has been exploring various paths to find a direction that better suits China’s national conditions during the past 60 years. Meanwhile, a series of political and economic events and policy transformations have had different effects on the port industry. This article attempts to ascertain how these events and port policies have influenced Chinese port traffic through an empirical study on data covering 1952–2009. The findings suggest that foreign trade has been the prime driver of the throughput of Chinese ports. The increase in the ports’ throughput has enabled an increase in domestic demand and the urgent need for further port investment. Chinese port throughput has been subject to multiple shocks. The Great Leap Forward1 is found to have had the largest, but only a short-term impact. China’s accession to the World Trade Organization, however, led to a longer and exclusive effect on ports, with little observed effect on the other variables. The reform of port governance is shown to have had a more lasting positive effect on port throughput than physical investment. However, these latter effects are minor, the economic and political factors remain the primary driving factors of port throughput. 相似文献
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深入剖析广东省港口物流发展影响因素,构建灰关联模型,对其进行定量与定性分析。结果表明:集装箱吞吐量和生产总值GDP对港口物流发展起主导作用,港口固定资产投资额和海关进出口总额拉动作用明显。提出"打造集装箱竞争优势、建设技术密集型智能港、构建以港口为核心"的供应链体系的建议,以期为港口物流发展战略转型提供决策参考。 相似文献
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This research study attempts to conceptualize models based on the relationship between characterization factors and port performance. By selecting a universe of the 230 largest European ports in terms of cargo throughput, 43 valid answers were obtained. Factor analysis and K–W (Kruskal–Wallis) tests were carried out taking as a reference the port performance theory. Findings reveal the existence of a relationship between port performance and its characterization factors, delving into the development of conceptualized models that contribute to deepen the knowledge of port competition structure and dynamics within Europe. 相似文献