Emission Evaluation of Marine Traffic

Jingwen Qi, Shuaian Wang, Xiaobo Qu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Air pollution is an issue that has been widespread concern in all sectors of society. The pollutants, including toxic gases, greenhouse gases, and particulate matters, have permeated every aspect of our daily life and have a negative impact on human health, agriculture, industry, and climate change. Found by hard and thorough search, the human activities account for the majority and the transport sector is one of the most challenging areas, when it comes to abatement of local air pollution. Marine traffic, which covers over 80% of international trade, is mainly powered by cheap fuel oil with high impurities, so it will affect the social welfare of the coastal areas. Various measures that can be adopted to alleviate the problem to customize suitable regulations through research of the emission from shipping should be conducted. Also, the emission evaluation is critical to measure the efficiency of the regulation. Therefore, following the main steps of Ship Traffic Emissions Assessment Model, we summarize an activity-based framework of shipping emission evaluation that takes advantage of data from automatic identification system.

Original languageEnglish
Title of host publicationSmart Transportation Systems 2020 - Proceedings of 3rd KES International Symposium, KES-STS 2020
EditorsXiaobo Qu, Lu Zhen, Robert J. Howlett, Lakhmi C. Jain
PublisherSpringer
Pages201-211
Number of pages11
ISBN (Print)9789811552694
DOIs
Publication statusPublished - Aug 2020
Event3rd KES International Symposium on Smart Transportation Systems, KES-STS 2020 - Split, Croatia
Duration: 17 Jun 202019 Jun 2020

Publication series

NameSmart Innovation, Systems and Technologies
Volume185
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference3rd KES International Symposium on Smart Transportation Systems, KES-STS 2020
CountryCroatia
CitySplit
Period17/06/2019/06/20

Keywords

  • Activity-based method
  • AIS data
  • Emission evaluation

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Computer Science(all)

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