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Frontiers of Engineering Management
COMMENTS
Three potential benefits of the EU and IMO’s landmark efforts to monitor carbon dioxide emissions from shipping
Shuaian WANG1, Lu ZHEN2(), Harilaos N. PSARAFTIS3
1. Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Hong Kong, China
2. School of Management, Shanghai University, Shanghai 200444, China
3. Department of Management Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
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Shuaian WANG
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引用本文:   
Shuaian WANG,Lu ZHEN,Harilaos N. PSARAFTIS. Three potential benefits of the EU and IMO’s landmark efforts to monitor carbon dioxide emissions from shipping[J]. Front. Eng, 20 March 2020. [Epub ahead of print] doi: 10.1007/s42524-020-0096-2.
网址:  
http://journal.hep.com.cn/fem/EN/10.1007/s42524-020-0096-2     OR     http://journal.hep.com.cn/fem/EN/Y/V/I/0
1 R Adland, H Alger, J Banyte, H Jia (2017). Does fuel efficiency pay? Empirical evidence from the drybulk timecharter market revisited. Transportation Research Part A: Policy and Practice, 95: 1–12
https://doi.org/10.1016/j.tra.2016.11.007
2 P Agnolucci, T Smith, N Rehmatulla (2014). Energy efficiency and time charter rates: Energy efficiency savings recovered by ship owners in the Panamax market. Transportation Research Part A: Policy and Practice, 66: 173–184
https://doi.org/10.1016/j.tra.2014.05.004
3 Y Du, Q Meng, S Wang, H Kuang (2019). Two-phase optimal solutions for ship speed and trim optimization over a voyage using voyage report data. Transportation Research Part B: Methodological, 122: 88–114
https://doi.org/10.1016/j.trb.2019.02.004
4 ECMWF (2019). ERA interim, daily. Available at: apps.ecmwf.int/datasets/data/interim-full-daily/levtype = sfc/
5 EU (2015). Regulations on the monitoring, reporting and verification of carbon dioxide emissions from maritime transport. EU2015/757
6 IMO (2016). Resolution MEPC.278(70): Amendments to MARPOL Annex VI on data collection system for fuel oil consumption of ships. London: IMO
7 IMO (2018). Resolution MEPC.304(72): Initial IMO strategy on reduction of GHG emissions from ships. London: IMO
8 Q Meng, Y Du, Y Wang (2016). Shipping log data based container ship fuel efficiency modeling. Transportation Research Part B: Methodological, 83: 207–229
https://doi.org/10.1016/j.trb.2015.11.007
9 T W P Smith, J P Jalkanen, B A Anderson, J J Corbett, J Faber, S Hanayama, E O’Keeffe, S Parker, L Johansson, L Aldous, C Raucci, M Traut, S Ettinger, D Nelissen, D S Lee, S Ng, A Agrawal, J J Winebrake, M Hoen, S Chesworth, A Pandey (2014). Third IMO GHG Study 2014. London: International Maritime Organization
10 D Yang, L Wu, S Wang, H Jia, K X Li (2019). How big data enriches maritime research—A critical review of Automatic Identification System (AIS) data applications. Transport Reviews, 39(6): 755–773
https://doi.org/10.1080/01441647.2019.1649315
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