| Citation: | BAI Xi-wen, HOU Yao, YANG Dong. A study on shipowners' selection preferences in response to global sulfur restrictions based on revealed preference data[J]. Journal of Traffic and Transportation Engineering, 2022, 22(1): 240-249. doi: 10.19818/j.cnki.1671-1637.2022.01.020 |
| [1] |
YOST T. Container-shipping industry needs to offset $10 billion[R]. New York: AlixParners, 2019.
|
| [2] |
LINDSTAD H, SANDAAS I, STRØMMAN A H. Assessment of cost as a function of abatement options in maritime emission control areas[J]. Transportation Research Part D: Transport and Environment, 2015, 38: 41-48. doi: 10.1016/j.trd.2015.04.018
|
| [3] |
ZIS T, ANGELOUDIS P, BELL M G H, et al. Payback period for emissions abatement alternatives: role of regulation and fuel prices[J]. Journal of the Transportation Research Board, 2016, 2549(1): 37-44. doi: 10.3141/2549-05
|
| [4] |
ZHU M, LI K X, LIN K C, et al. How can shipowners comply with the 2020 global sulphur limit economically?[J]. Transportation Research Part D: Transport and Environment, 2020, 79: 102234. doi: 10.1016/j.trd.2020.102234
|
| [5] |
PATRICKSSON Ø, ERIKSTAD S O. A two-stage optimization approach for sulphur emission regulation compliance[J]. Maritime Policy and Management, 2017, 44(1): 94-111. doi: 10.1080/03088839.2016.1237781
|
| [6] |
BALLAND O, GIRARD C, ERIKSTAD S O, et al. Optimized selection of vessel air emission controls—moving beyond cost-efficiency[J]. Maritime Policy and Management, 2015, 42(4): 362-376. doi: 10.1080/03088839.2013.872311
|
| [7] |
YANG Zai-li, ZHANG Di, CAGLAYAN O, et al. Selection of techniques for reducing shipping NOx and SOx emissions[J]. Transportation Research Part D: Transport and Environment, 2012, 17(6): 478-486. doi: 10.1016/j.trd.2012.05.010
|
| [8] |
SCHINAS O, STEFANAKOS C N. Selecting technologies towards compliance with MARPOL Annex VI: the perspective of operators[J]. Transportation Research Part D: Transport and Environment, 2014, 28: 28-40. doi: 10.1016/j.trd.2013.12.006
|
| [9] |
REN J Z, LVTZEN M. Fuzzy multi-criteria decision-making method for technology selection for emissions reduction from shipping under uncertainties[J]. Transportation Research Part D: Transport and Environment, 2015, 40: 43-60. doi: 10.1016/j.trd.2015.07.012
|
| [10] |
YANG Dong, WU Ling-xiao, WANG Shuai-an, et al. How big data enriches maritime research—a critical review of automatic identification system (AIS) data applications[J]. Transport Reviews, 2019, 39(6): 755-773. doi: 10.1080/01441647.2019.1649315
|
| [11] |
HANSEN M G, JENSEN T K, LEHN-SCHIØLER T, et al. Empirical ship domain based on AIS data[J]. Journal of Navigation, 2013, 66(6): 931-940. doi: 10.1017/S0373463313000489
|
| [12] |
LIAO Shi-guan, YANG Dong, BAI Xi-wen, et al. Estimation method of port handling efficiency value based on ship big data[J]. Journal of Transportation Systems Engineering and Information Technology, 2021, 21(2): 217-223. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT202102033.htm
|
| [13] |
WINTHER M, CHRISTENSEN J H, PLEJDRUP M S, et al. Emission inventories for ships in the Arctic based on satellite sampled AIS data[J]. Atmospheric Environment, 2014, 91: 1-14. doi: 10.1016/j.atmosenv.2014.03.006
|
| [14] |
ADLAND R, JIA Hai-ying, STRANDENES S P. Are AIS-based trade volume estimates reliable? the case of crude oil exports[J]. Maritime Policy and Management, 2017, 44(5): 657-665. doi: 10.1080/03088839.2017.1309470
|
| [15] |
JIANG Li-ping, KRONBAK J, CHRISTENSEN L P. The costs and benefits of sulphur reduction measures: sulphur scrubbers versus marine gas oil[J]. Transportation Research Part D: Transport and Environment, 2014, 28: 19-27. doi: 10.1016/j.trd.2013.12.005
|
| [16] |
NORSTAD I, FAGERHOLT K, LAPORTE G. Tramp ship routing and scheduling with speed optimization[J]. Transportation Research Part C: Emerging Technologies, 2011, 19(5): 853-865. doi: 10.1016/j.trc.2010.05.001
|
| [17] |
LOU Di-ming, BAO Song-jie, HU Zhi-yuan, et al. Cruise speed optimization of tugboat based on real fuel consumption and emission[J]. Journal of Traffic and Transportation Engineering, 2017, 17(1): 93-100. (in Chinese) doi: 10.3969/j.issn.1671-1637.2017.01.011
|
| [18] |
GRIMMER R, MYERS M. IMO 2020, Part 2: shipowners' perspective[R]. London: IMO, 2019.
|
| [19] |
LE FEVRE C. A review of demand prospects for LNG as a marine transport fuel[R]. Oxford: Oxford Institute for Energy Studies, 2018.
|
| [20] |
KHASAWNEH R. Tankers defer retrofits to cash in on record freight rates[R]. Singapore: Reuters, 2019.
|
| [21] |
YANG Dong, WU Ling-xiao, WANG Shuai-an. Can we trust the AIS destination port information for bulkships?—Implications for shipping policy and practice[J]. Transportation Research Part E: Logistics and Transportation Review, 2021, 149: 102308. doi: 10.1016/j.tre.2021.102308
|
| [22] |
LIU Xing-long, CHU Xiu-min, MA Feng, et al. Discriminating method of abnormal dynamic information in AIS messages[J]. Journal of Traffic and Transportation Engineering, 2016, 16(5): 142-150. (in Chinese) doi: 10.3969/j.issn.1671-1637.2016.05.016
|
| [23] |
WEI Zhao-kun, ZHOU Kang, WEI Ming, et al. Ship motion pattern recognition and application based on AIS data[J]. Journal of Shanghai Maritime University, 2016, 37(2): 17-22, 71. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-SHHY201602005.htm
|
| [24] |
JIA H Y, ADLAND R, PRAKASH V, et al. Energy efficiency with the application of Virtual Arrival policy[J]. Transportation Research Part D: Transport and Environment, 2017, 54: 50-60. doi: 10.1016/j.trd.2017.04.037
|
| [25] |
IMO. Prevention of air pollution from ships[R]. London: IMO, 2011.
|
| [26] |
WASIKOWSKI M, CHEN X W. Combating the small sample class imbalance problem using feature selection[J]. IEEE Transactions on Knowledge and Data Engineering, 2010, 22(10): 1388-1400. doi: 10.1109/TKDE.2009.187
|
| [27] |
MENARDI G, TORELLI N. Training and assessing classification rules with imbalanced data[J]. Data Mining and Knowledge Discovery, 2014, 28(1): 92-122. doi: 10.1007/s10618-012-0295-5
|
| [28] |
MARTINSEN C. Alternative fuels insight platform[R]. Oslo: DNV, 2019.
|
| [29] |
KALYANARAMAN M. Cutting time and cost on a scrubber retrofit[R]. London: Riviera Maritime Media, 2019.
|
| [30] |
HSU A, ZOMER A. Environmental performance index (EPI)[J]. Wiley StatsRef: Statistics Reference Online, DOI: 10.1002/9781118445112.stat03789.pub2.
|