How big data enriches maritime research – a critical review of Automatic Identification System (AIS) data applications-Reference-Cited by-同舟云学术

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How big data enriches maritime research – a critical review of Automatic Identification System (AIS) data applications

Published:2019-07-28 Issue:6 Volume:39 Page:755-773
ISSN:0144-1647
Container-title:Transport Reviews
language:en
Short-container-title:Transport Reviews

Author:

Yang Dong¹^ORCID,Wu Lingxiao¹,Wang Shuaian¹^ORCID,Jia Haiying²^ORCID,Li Kevin X.³

Affiliation:

1. Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Hong Kong, People’s Republic of China

2. Center for Applied Research at NHH, Norwegian School of Economics, Bergen, Norway

3. Department of International Logistics, Chung-Ang University, Dongjak-Ku, South Korea

Publisher

Informa UK Limited

Subject

Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/01441647.2019.1649315

Reference44 articles.

1. Can monitoring maritime activities in the European High Arctic by satellite-based Automatic Identification System enhance polar search and rescue?

2. Dynamic speed choice in bulk shipping

3. Are AIS-based trade volume estimates reliable? The case of crude oil exports

4. The determinants of vessel capacity utilization: The case of Brazilian iron ore exports

5. The underwater acoustic environment at SGaan Kinghlas-Bowie Seamount Marine Protected Area: Characterizing vessel traffic and associated noise using satellite AIS and acoustic datasets

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