探索东南亚集装箱港口连通性:综合评估方法

IF 3.7 Q2 TRANSPORTATION
Ming-Jiu Hwang, Ya-Pei Huang
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引用次数: 0

摘要

亚洲地区凭借其成本优势成为世界制造业中心,带动了集装箱运输的发展。近年来,东南亚因其人口红利和地理优势而受到企业青睐。港口之间的关系很复杂,它们的角色也在不断演变。本研究引入货柜港口及网络分析模型,探讨东南亚货柜港口及网络的特点。根据实际路由和端口数据,提出了三个性能指标:年度槽位容量(Annualized Slot Capacity, ASC)、设备利用率(Equipment Utilization)和终端生产率(Terminal Productivity)。使用社会网络分析(SNA)和主成分分析(PCA)来制定适合东南亚的港口连通性指标,分析2020年至2022年的变化。本研究亦以船型分类分析东南亚航运网络的特点,并将高雄港纳入分析范围,以作全面比较。研究结果表明,由于指标方面的不同,所提出的港口连通性排名与关注交通流量的LSCI有所不同。一些港口在基于船舶类型的特定网络中表现出色。从2020年到2022年,越南港口在区域网络中稳步增长,而高雄港则有所下降,需要加强区域合作和竞争力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring container port connectivity in Southeast Asia: An integrated assessment approach
The Asian region has become the world's manufacturing hub due to its cost advantages, driving the development of container transportation. Recently, enterprises have favored Southeast Asia for its demographic dividend and geographical benefits. The relationships between ports are complex, and their roles are evolving. This study introduces a container port and network analysis model to explore the features of container ports and networks in Southeast Asia. Using actual route and port data, it proposes three performance indicators: Annualized Slot Capacity (ASC), Equipment Utilization, and Terminal Productivity. Social Network Analysis (SNA) and Principal Component Analysis (PCA) are used to develop a suitable port connectivity indicator for Southeast Asia, analyzing changes from 2020 to 2022. The study also categorizes and analyzes the characteristics of the Southeast Asian shipping network based on vessel types and includes Kaohsiung Port in the analysis for a comprehensive comparison. The findings show that the proposed port connectivity ranking differs from the LSCI, which focuses on traffic flow, due to differing indicator aspects. Some ports excel in specific networks based on vessel types. From 2020 to 2022, Vietnamese ports showed steady growth in regional networks, while Kaohsiung Port declined, needing to enhance regional cooperation and competitiveness.
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来源期刊
CiteScore
7.80
自引率
6.50%
发文量
23
审稿时长
92 days
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