How do corridor development and border facilitation policies impact future container transport in inland South Asia? –A network simulation approach

IF 3.3 Q2 TRANSPORTATION
Koki Kawachi, Ryuichi Shibasaki
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引用次数: 0

Abstract

The South Asia Subregional Economic Cooperation (SASEC) area experiences rapid economic growth with an abundant population, expecting to increase the cargo transport demand. However, weak infrastructure and cross-border systems could hinder the future growth of the area. We examine the impact of various logistics policies for efficient regional development, including corridor development and border facilitation. Particularly, we focus on the inland SASEC region, which has unique logistics environments because of complex geographical conditions, to gain implications on the relationship between landlocked regions and seaports. We extend the global logistics intermodal network simulation (GLINS) model, a stochastic assignment model to select transport routes and carriers to minimize the generalized cost, to the SASEC region, covering several regional divisions to gain implications that cannot be obtained by focusing only on South Asia. The simulation results indicate that the logistics weight in the SASEC will shift to the east, leading to overland connections with the vast markets of China and Southeast Asia. Furthermore, this study shows the feasibility of improving the connectivity of the three inland regions with the cooperation of ports, considering the future growth of cargo shipping demand and the importance of implementing corridor development and border facilitation together.

走廊发展和边境便利化政策如何影响南亚内陆未来的集装箱运输?-网络模拟方法
南亚次区域经济合作(SASEC)地区经济增长迅速,人口众多,对货物运输的需求有望增加。然而,薄弱的基础设施和跨境系统可能会阻碍该地区未来的发展。我们研究了各种物流政策对区域高效发展的影响,包括走廊发展和边境便利化。特别是,我们将重点放在因地理条件复杂而具有独特物流环境的 SASEC 内陆地区,以获得内陆地区与海港之间关系的启示。我们将全球物流多式联运网络模拟(GLINS)模型(一种随机分配模型,用于选择运输路线和承运商,使广义成本最小化)扩展到 SASEC 地区,涵盖多个地区分区,以获得仅关注南亚地区无法获得的启示。模拟结果表明,东南亚国家联盟的物流重心将向东转移,从而与中国和东南亚的广大市场建立陆路联系。此外,考虑到未来货物运输需求的增长以及共同实施走廊发展和边境便利化的重要性,本研究还表明了通过港口合作改善三大内陆地区连通性的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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