Development of port service network in OBOR via capacity sharing: an idea from Zhejiang province in China

• Published in: Maritime policy and management Vol. 45; no. 1; pp. 105 - 124
• Main Authors: Ruan, Xiao, Feng, Xuehao, Pang, Kelvin
• Format: Journal Article
• Language: English
• Published: Abingdon Routledge 01.01.2018; Taylor & Francis Ltd
• Subjects: Capacity; capacity sharing; Developing countries; genetic algorithm; Genetic algorithms; government policy; LDCs; Logistics; Marginal seas; Mathematical models; Mixed integer; Networks; Nonlinear programming; Optimization; optimization methods; Policies; Port service network; Port services; Property
• ISSN: 0308-8839; 1464-5254
• DOI: 10.1080/03088839.2017.1391412

The 'Silk Road Economic Belt and the 21st-Century Maritime Silk Road' (One Belt One Road, OBOR) strategy initiated by the Chinese government has a significant impact on the business and logistics modes which involves Asia, Europe, Africa, and their adjacent seas. Many countries and ports are developing new strategies that are suitable for this economic environment. Compared with many ports in the world, the ports in Zhejiang province of China have a novel property. In addition to Ningbo-Zhoushan port, there are several other sea ports and river ports in that province. In this paper, we propose a concept of port service network that consists of a huge hub and multiple ports. Ports of small and medium sizes can share their capacities of different types of port service with the hub when the service capacities are integrated into the network. We develop a mixed integer nonlinear programming model to determine the optimal decisions in such a network with constraints on the budget to conduct integration. An optimization algorithm incorporated with a genetic algorithm is developed to solve large size problems. We provide managerial insights on the policies of government, including expanding port capacity, reducing fixed integration cost, and providing better financial condition.