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 language | English |
|---|---|
| Title of host publication | Smart Transportation Systems 2020 - Proceedings of 3rd KES International Symposium, KES-STS 2020 |
| Editors | Xiaobo Qu, Lu Zhen, Robert J. Howlett, Lakhmi C. Jain |
| Publisher | Springer |
| Pages | 201-211 |
| Number of pages | 11 |
| ISBN (Print) | 9789811552694 |
| DOIs | |
| Publication status | Published - Aug 2020 |
| Event | 3rd KES International Symposium on Smart Transportation Systems, KES-STS 2020 - Split, Croatia Duration: 17 Jun 2020 → 19 Jun 2020 |
Publication series
| Name | Smart Innovation, Systems and Technologies |
|---|---|
| Volume | 185 |
| ISSN (Print) | 2190-3018 |
| ISSN (Electronic) | 2190-3026 |
Conference
| Conference | 3rd KES International Symposium on Smart Transportation Systems, KES-STS 2020 |
|---|---|
| Country/Territory | Croatia |
| City | Split |
| Period | 17/06/20 → 19/06/20 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 13 Climate Action
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SDG 14 Life Below Water
Keywords
- Activity-based method
- AIS data
- Emission evaluation
ASJC Scopus subject areas
- General Decision Sciences
- General Computer Science
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