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原文传递 Long-term container throughput forecast and equipment planning the case of Bangkok Port

题名：	Long-term container throughput forecast and equipment planning the case of Bangkok Port
正文语种：	eng
作者：	Veerachai Gosasang;Tsz Leung Yip;Watcharavee Chandraprakaikul;
作者单位：	Port Authority of Thailand, Bangkok, Thailand;Department of Logistics and Maritime Studies, Hong Kong Polytechnic University, Hong Kong;University of the Thai Chamber of Commerce, Bangkok, Thailand;
关键词：	Forecasting; VECM; Cause-and-effect forecasting; Container throughput; Terminal layout
摘要：	Purpose - This paper aims to forecast inbound and outbound container throughput for Bangkok Port to 2041 and uses the results to inform the future planning and management of the port's container terminal. Design/methodology/approach - The data used cover a period of 16 years (192 months of observations). Data sources include the Bank of Thailand and the Energy Policy and Planning Office. Causeand-effect forecasting is adopted for predicting future container throughput by using a vector error correction model (VECM). Findings - Forecasting future container throughput in Bangkok Port will benefit port planning. Various economic factors affect the volume of both inbound and outbound containers through the port. Three cases (scenarios) of container terminal expansion are analyzed and assessed, on the basis of which an optimal scenario is identified. Research limitations/implications 一 The economic characteristics of Thailand differ from those of other countries/jurisdictions, such as the USA, the EU， Japan, China, Malaysia and Indonesia, and optimal terminal expansion scenarios may therefore differ from that identified in this study. In addition, six particular countries/jurisdictions are the dominant trading partners of Thailand, but these main trading partners may change in the future. Originality/value - There are only two major projects that have forecast container throughput volumes for Bangkok Port. The first project, by the Japan International Cooperation Agency, applied both the trend of cargo volumes and the relationship of volumes with economic indices such as population and gross domestic product. The second project, by the Port Authority of Thailand, applied a moving average method to forecast the number of containers. Other authors have used time-series forecasting. Here, the authors apply a VECM to forecast the future container throughput of Bangkok Port.
期刊名称：	航贸周刊
出版年：	2021
期：	03
页码：	35-55