T R A C K       P A P E R
ISSN:2455-3956

World Journal of Research and Review

( A Unit of Nextgen Research Publication)

Multi-Model Intelligent Prediction of Pakistan Port Throughput under the Background of China-Pakistan Economic Corridor

( Volume 11 Issue 4,October 2020 ) OPEN ACCESS
Author(s):

Aimin Deng, Qian Ding

Keywords:

grey theory model prediction, logistic model prediction, neural network model prediction, Pakistan port throughput.

Abstract:

China-Pakistan Economic Corridor is model project and flagship project of China's "One Belt One Road "initiative. The cooperation between China and Pakistan covers all levels of power, roads, ports, and even education. A large number of investment in infrastructure and industrial projects will greatly promote Pakistan economic development greatly, which will bring strong industrial development , transportation logistics and increase port throughput, so we carry out forecast analysis of Pakistan port throughput in order to provide relevant government enterprises with a valuable reference for decision-making. This paper uses three intelligent forecasting models: neural network model, logistic model and grey theory model to predict Pakistan’s port throughput and container throughput in 2020, 2025, 2030, and 2035. The forecast result data shows: in good times, economic trends by 2035. The optimistic high forecast results in port throughput reaching about 220 million tons and container throughput reaching 6.91 million TEU. On the contrary, when the economic trend is relatively weak, the low forecast result of Pakistan's port throughput is 113 million tons, and the container throughput is 2.89 million TEU.

DOI DOI :

https://doi.org/10.31871/WJRR.11.4.9

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