scispace - formally typeset
A

Adolf K.Y. Ng

Researcher at Hong Kong Baptist University

Publications -  156
Citations -  3947

Adolf K.Y. Ng is an academic researcher from Hong Kong Baptist University. The author has contributed to research in topics: Port (computer networking) & Arctic. The author has an hindex of 33, co-authored 138 publications receiving 3090 citations. Previous affiliations of Adolf K.Y. Ng include University of Manitoba & University of Oxford.

Papers
More filters
Journal ArticleDOI

Arctic region: analysis of cruise products, network structure, and popular routes

TL;DR: In this paper , the authors analyzed the network structure and popular routes of Arctic cruise shipping in order to identify popular cruise ports and routes and found that a small number of ports have high connections to others, while many ports have low connectivity.
Journal ArticleDOI

A Bayesian-loss function-based method in assessing loss caused by ship-source oil spills in the arctic area.

TL;DR: In this article , a hybrid Bayesian-loss function-based method was developed to assess ship-source oil spill-related loss and implement an illustrative test on Baffin Island, Nunavut in Canada.
Journal ArticleDOI

Socio-economic impacts of shipping along the Northwest Passage: The cost to locals

TL;DR: In this article , the authors present an approach to assess the cost of container liner shipping through the Northwest Passage (NWP) on northern local communities based on some representative communities, concerns of the residents of these Canadian Arctic regions were assessed.
Book ChapterDOI

Innovation in Transport Nodes and Nodal Systems: Airship Transport Systems and Aerodrome Requirements

TL;DR: This chapter considers the infrastructure requirements of gateways and hubs to support cargo airships in Southern Canada and suggests that virtually every lake could be an initial gateway, with permanent infrastructure developing at locations with sufficient traffic.
Journal ArticleDOI

Long-Term Traffic Forecast Using Neural Network and Seasonal Autoregressive Integrated Moving Average: Case of a Container Port

TL;DR: Based on forecast long-term freight rate input provided by the recent 10-year strategic planning of the port of Rajaee, the largest port of Iran, the authors implements seasonal autoregressive integrated moving average (SARIMA) and neural network (NN) models to forecast its container vessel traffic between 2020 and 2025.