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Forecasting container port volume: implications for dredging

Sang-Yoon Lee, Hyunwoo Lim () and Hwa-Joong Kim
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Sang-Yoon Lee: INHA University
Hyunwoo Lim: INHA University
Hwa-Joong Kim: INHA University

Maritime Economics & Logistics, 2017, vol. 19, issue 2, No 6, 296-314

Abstract: Abstract This paper aims to provide a practical method for forecasting potential container cargo volume that can be induced by a port development project on a container transport network by combining port choice and an autoregressive integrated moving average (ARIMA) model. The entrance channel improvement plan for Incheon New Port in South Korea is used as a case study. Based on the stated preference data collected from domestic shippers, a discrete choice analysis is performed to estimate the future market share of three major ports in South Korea: Busan, Gwangyang, and Incheon. The estimated market share of Incheon New Port is used to forecast its future container volume derived by the ARIMA model and the potential port development scenarios.

Keywords: container demand forecast; transport network; port choice; stated preference; multinomial logit model; port entrance channel dredging (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (3)

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DOI: 10.1057/s41278-016-0054-4

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