中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2024, Vol. 43 ›› Issue (11): 60-67.DOI: 10.3969/j.issn.1674-0696.2024.11.08

• 交通+大数据人工智能 • 上一篇    

基于灰色马尔科夫模型的温州港货物吞吐量预测

常祎妹1,林忆婷1,丁天明2   

  1. (1. 北京物资学院 物流学院,北京 101149; 2. 浙江海洋大学 船舶与海运学院,浙江 舟山 316022)
  • 收稿日期:2023-07-31 修回日期:2024-04-22 发布日期:2024-11-27
  • 作者简介:常祎妹(1991—),女,辽宁沈阳人,副教授,博士,主要从事集装箱运输与多式联运方面的研究。E-mail:changyimei@bwu.edu.cn 通信作者:林忆婷(2000—),女,浙江嘉兴人,硕士研究生,主要从事集装箱运输与多式联运方面的研究。E-mail:linyiting1021@163.com
  • 基金资助:
    国家自然科学基金项目(52202394);北京市教委科技一般项目(KM202110037001)

Forecast of Cargo Throughput of Wenzhou Port Based on Grey Markov Model

CHANG Yimei1, LIN Yiting1, DING Tianming2   

  1. (1. School of Logistics, Beijing Wuzi University, Beijing 101149, China; 2. School of Ship and Maritime Transport, Zhejiang Ocean University, Zhoushan 316022, Zhejiang, China)
  • Received:2023-07-31 Revised:2024-04-22 Published:2024-11-27

摘要: 温州港地处东南沿海黄金海岸线中部,在过去的40 a里,温州港从单一小港,跃升为全国沿海主要港口和国家综合运输体系的重要枢纽,逐步融入全球贸易。为了更好地帮助温州港有关部门和港口企业进行港口生产运营与建设规划指导,首先, 建立了基于灰色马尔科夫的港口货物吞吐量预测模型,对温州港货物吞吐量的趋势和变化进行研究;然后,利用温州港2002—2022年货物吞吐量数据对建立的模型进行验算,结果表明,优化后的灰色马尔科夫预测模型较单一的灰色预测模型精度更高,优化后模型的平均相对误差约为2.1%;最后,对温州港2023—2027年的港口货物吞吐量进行预测,预测结果表明:温州港货物吞吐量呈现逐年波动上升的趋势,这一态势将对温州港的战略定位与长远发展规划产生深远影响,并将进一步推动温州港集疏运体系构建、深水泊位建设和港口辐射网络水平的提升。

关键词: 交通运输工程;货物吞吐量;预测;灰色马尔科夫模型;温州港

Abstract: Wenzhou Port is located in the middle of the golden coastline of the southeast coast. And in the past 40 years, Wenzhou Port has jumped from a single small port to be a major port along the coast of the country and an important hub of the national comprehensive transportation system, which has gradually integrated into global trade. In order to better help the relevant departments of Wenzhou Port and port enterprises to guide the port production operation and construction planning, a grey Markov-based port cargo throughput prediction model was firstly established to study the trend and change of cargo throughput in Wenzhou Port. Then, the established model was verified by the cargo throughput data of Wenzhou Port from 2002 to 2022. The results show that the optimized grey Markov prediction model is more accurate than the single grey prediction model, and the average relative error of the optimized model is about 2.1%. Finally, the port cargo throughput of Wenzhou Port from 2023 to 2027 is predicted. The forecast results show that the cargo throughput of Wenzhou Port shows a fluctuating upward trend year by year, which will greatly affect the strategic positioning and long-term development planning of Wenzhou Port and further promote the construction of the collection and distribution system, the construction of deep-water berths and the level of port radiation network of Wenzhou Port.

Key words: traffic and transportation engineering; cargo throughput; forecast; grey Markov model; Wenzhou Port

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