Shipping and Logistics Analytics using Big Data

Name: Shipping and Logistics Analytics using Big Data
Price: 219.75 AUD
Availability: PreOrder

Automatic Identification System Data

By: Ryuichi Shibasaki (Editor), Dong Yang (Editor), Xiwen Bai (Editor), Haiying Jia (Editor)

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Hardcover | 6 November 2026 | Edition Number 1

At a Glance

Format
Hardcover

Dimensions(cm)
24.6 x 17.4

Hardcover

RRP $252.00

$219.75

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or 4 interest-free payments of $54.94 with

Available: 6th November 2026

Preorder. Will ship when available.

With the advancement of information and communication technology, a data-driven approach applying the tools and methodologies of big data analytics has become quite common across industry. In maritime shipping, automatic identification system (AIS) vessel movement data is reliable and improving and has been used for the detection of suspicious vessels and to support vessel navigation. However, since detailed cargo items and loading/unloading conditions cannot be directly obtained from AIS data, research using this data in the fields of logistics, shipping, and shipbuilding is still limited. This book introduces the state of the art on the worldwide use of AIS and other maritime big data for shipping and logistics analysis, with data-oriented case studies, for the maritime and related industries and for university use in maritime economics, industrial engineering, and transport engineering.

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