Volume 20 Issue 4
. 
Turn off MathJax
Article Contents
Article Navigation >  Journal of Traffic and Transportation Engineering  > 2020  >  20(4): 55-69
Next Previous
BAO Tian-tian, LIAN Feng, YANG Zhong-zhen. Research review of shipping management[J]. Journal of Traffic and Transportation Engineering, 2020, 20(4): 55-69. doi: 10.19818/j.cnki.1671-1637.2020.04.004
Citation: BAO Tian-tian, LIAN Feng, YANG Zhong-zhen. Research review of shipping management[J]. Journal of Traffic and Transportation Engineering, 2020, 20(4): 55-69. doi: 10.19818/j.cnki.1671-1637.2020.04.004
shu

Research review of shipping management

doi: 10.19818/j.cnki.1671-1637.2020.04.004

  • Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, Zhejiang, China

Funds:

National Natural Science Foundation of China 71431001

National Natural Science Foundation of China 71704089

Philosophy and Social Science Planning Project of Zhejiang Province 17NDJC012Z

Natural Science Foundation of Zhejiang Province LQ20G020011

Natural Science Foundation of Ningbo 2018A610126

Scientific Research Fund Projects of Ningbo University XYW19009

More Information
    Abstract
  • In order to systematically analyze and summarize the research status and development trend of shipping management, the co-word cluster analysis of shipping management based on the 628 literatures from WOS Database and CNKI Database was carried out by knowledge map analysis software VOSviewer, and three research hotspots were obtained, including shipping market analysis, shipping operation management and green shipping. According to above three hotspots, the researching areas, objectives and methods of shipping management were summarized, and the main directions of future research were put forward. Research result shows that the time-series model is mainly adopted to analyze shipping market, and the relationship between the supply and demand of freight market and shipping market is studied mainly based on the freight rate. The research of shipping operation management mostly focuses on setting up optimal mathematical model with the objectives of minimizing cost or maximizing profit, and using the heuristic algorithms to deal with the problems at the strategic, tactical and operational decision-making levels.The current research of green shipping mainly solves the practical emission reduction problem, and compares and analyzes the cost-effectivenesses and emission reduction effects of technical measures, operational measures and market-based measures. The future main research directions of shipping management are as follows: the multi-objective and multi-stage mathematical optimization model should be established to meet the various goals of shipping management in order to achieve the collaborative optimization of shipping managements with different scopes and levels; the research of shipping management should be extended from the perspective of shipping supply, and it is necessary to integrally consider the complex relationships among inland transportation, maritime transportation and stakeholders; the issues of shipping management should be investigated under uncertain conditions; the market analysis methods and model solving algorithms with higher accuracy and efficiency should be designed based on the artificial intelligent algorithms and shipping big data; and the shipping management in the new format of intelligent shipping should be researched.

     

    • FullText(HTML)
  • loading
    • References(103)
  • [1]
    LUN V Y H, LAI K H, DANIEL NG C T, et al. Editorial: research in shipping and transport logistics[J]. International Journal of Shipping and Transport Logistics, 2011, 3(1): 1-5.
    [2]
    SHI W M, LI K X. Themes and tools of maritime transport research during 2000-2014[J]. Maritime Policy and Management, 2017, 44(2): 151-169. doi: 10.1080/03088839.2016.1274833
    [3]
    TALLY W K. Maritime transportation research: topics and methodologies[J]. Maritime Policy and Management, 2013, 40(7): 709-725. doi: 10.1080/03088839.2013.851463
    [4]
    YANG Qiu-ping, XIE Xin-lian, ZHAO Jia-bao. Research status and prospect of fleet planning[J]. Journal of Traffic and Transportation Engineering, 2010, 10(4): 85-90. (in Chinese). doi: 10.3969/j.issn.1671-1637.2010.04.014
    [5]
    CHANG Yi-mei, ZHU Xiao-ning, WANG Li. Review on integrated scheduling of container terminals[J]. Journal of Traffic and Transportation Engineering, 2019, 19(1): 136-146. (in Chinese). doi: 10.3969/j.issn.1671-1637.2019.01.014
    [6]
    MENG Qiang, WANG Shuai-an, ANDERSSON H, et al. Containership routing and scheduling in liner shipping: overview and future research directions[J]. Transportation Science, 2014, 48(2): 265-280. doi: 10.1287/trsc.2013.0461
    [7]
    VEJVAR M, LAI K H, LO C K Y. A citation network analysis of sustainability development in liner shipping management: a review of the literature and policy implications[J]. Maritime Policy and Management, 2020, 47(1): 1-26. doi: 10.1080/03088839.2019.1657971
    [8]
    SHI Wen-ming, XIAO Yi, CHEN Zhuo, et al. Evolution of green shipping research: themes and methods[J]. Maritime Policy and Management, 2018, 45(7): 863-876. doi: 10.1080/03088839.2018.1489150
    [9]
    Shipping Research Centre of the Hong Kong Polytechnic University. Top shipping school research rankings 2017-2019[R]. Hong Kong: The Hong Kong Polytechnic University, 2020.
    [10]
    SORESCU F, BOSNEAGU R, COCA C E. Strategic research of the maritime market[J]. Acta Universitatis Danubius Administratio, 2013, 5(1): 39-48.
    [11]
    VENUS LUN Y H, QUADDUS M A. An empirical model of the bulk shipping market[J]. International Journal of Shipping and Transport Logistics, 2009, 1(1): 37-54. doi: 10.1504/IJSTL.2009.021975
    [12]
    XU J J, YIP T L, MARLOW P B. The dynamics between freight volatility and fleet size growth in dry bulk shipping markets[J]. Transportation Research Part E: Logistics and Transportation Review, 2011, 47(6): 983-991. doi: 10.1016/j.tre.2011.05.008
    [13]
    YIN Jing-bo, LUO Mei-feng, FAN Li-xian. Dynamics and interactions between spot and forward freights in the dry bulk shipping market[J]. Maritime Policy and Management, 2017, 44(2): 271-288. doi: 10.1080/03088839.2016.1253884
    [14]
    ADLAND R, BENTH F E, KOEKEBAKKER S. Multivariate modeling and analysis of regional ocean freight rates[J]. Transportation Research Part E: Logistics and Transportation Review, 2018, 113: 194-221. doi: 10.1016/j.tre.2017.10.014
    [15]
    WU Hua-hua, KUANG Hai-bo, MENG Bin, et al. Study on the periodic characteristics of BDI index based on EMD-WA model[J]. Systems Engineering—Theory and Practice, 2018, 38(6): 1586-1598. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-XTLL201806019.htm
    [16]
    ZHAO Fu-jie, XIE Xin-lian. Forecasting iron ore freight rates based on wavelet analysis[J]. Journal of Shanghai Jiaotong University, 2013, 47(2): 295-299. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-SHJT201302024.htm
    [17]
    MUNIM Z H, SCHRAMM H J. Forecasting container shipping freight rates for the far east—Northern Europe trade lane[J]. Maritime Economics and Logistics, 2017, 19(1): 106-125. doi: 10.1057/s41278-016-0051-7
    [18]
    ESLAMI P, JUNG K, LEE D, et al. Predicting tanker freight rates using parsimonious variables and a hybrid artificial neural network with an adaptive genetic algorithm[J]. Maritime Economics and Logistics, 2017, 19(3): 538-550. doi: 10.1057/mel.2016.1
    [19]
    YANG Zai-li, MEHMED E E. Artificial neural networks in freight rate forecasting[J]. Maritime Economics and Logistics, 2019, 21(3): 390-414. doi: 10.1057/s41278-019-00121-x
    [20]
    DE OLIVEIRA G F. Determinants of European freight rates: the role of market power and trade imbalance[J]. Transportation Research Part E: Logistics and Transportation Review, 2014, 62: 23-33. doi: 10.1016/j.tre.2013.12.001
    [21]
    ZHANG Yong-feng, ZHAO Gang, CHEN Ji-hong. Empirical analysis of the influencing mechanism of container freight in the case of oligopoly[J]. Journal of Transportation Systems Engineering and Information Technology, 2016, 16(5): 14-20, 32. (in Chinese). doi: 10.3969/j.issn.1009-6744.2016.05.002
    [22]
    PENG Zi-xuan, SHAN Wen-xuan, GUAN Feng, et al. Stable vessel-cargo matching in dry bulk shipping market with price game mechanism[J]. Transportation Research Part E: Logistics and Transportation Review, 2016, 95: 76-94. doi: 10.1016/j.tre.2016.08.007
    [23]
    CHEN Rong-ying, DONG Jing-xin, LEE Chung-yee. Pricing and competition in a shipping market with waste shipments and empty container repositioning[J]. Transportation Research Part B: Methodological, 2016, 85: 32-55. doi: 10.1016/j.trb.2015.12.012
    [24]
    DAI Lei, HU Hao, CHEN Fei-er, et al. The dynamics between newbuilding ship price volatility and freight volatility in dry bulk shipping market[J]. International Journal of Shipping and Transport Logistics, 2015, 7(4): 393-406. doi: 10.1504/IJSTL.2015.069666
    [25]
    ADLAND R, JIA Hai-ying. Shipping market integration: the case of sticky newbuilding prices[J]. Maritime Economics and Logistics, 2015, 17(4): 389-398. doi: 10.1057/mel.2014.35
    [26]
    BAI Xi-wen, LAM J S L. An integrated analysis of interrelationships within the very large gas carrier (VLGC) shipping market[J]. Maritime Economics and Logistics, 2019, 21(3): 372-389. doi: 10.1057/s41278-017-0087-3
    [27]
    AGARWAL R, ERGUN Ö. Ship scheduling and network design for cargo routing in liner shipping[J]. Transportation Science, 2008, 42(2): 175-196. doi: 10.1287/trsc.1070.0205
    [28]
    DONG Jing-xin, SONG Dong-ping. Container fleet sizing and empty repositioning in liner shipping systems[J]. Transportation Research Part E: Logistics and Transportation Review, 2009, 45(6): 860-877. doi: 10.1016/j.tre.2009.05.001
    [29]
    MENG Qiang, WANG Ting-song. A scenario-based dynamic programming model for multi-period liner ship fleet planning[J]. Transportation Research Part E: Logistics and Transportation Review, 2011, 47(4): 401-413. doi: 10.1016/j.tre.2010.12.005
    [30]
    XIE Xin-lian, SANG Hui-yun, YANG Qiu-ping, et al. Case study on fleet planning for carriers of China importing crude oil[J]. Systems Engineering—Theory and Practice, 2013, 33(6): 1543-1549. (in Chinese). doi: 10.3969/j.issn.1000-6788.2013.06.023
    [31]
    SANTOS T A, GUEDES SOARES C. Methodology for ro-ro ship and fleet sizing with application to short sea shipping[J]. Maritime Policy and Management, 2017, 44(7): 859-881. doi: 10.1080/03088839.2017.1349349
    [32]
    KOZA D F, ROPKE S, MOLAS A B. The liquefied natural gas infrastructure and tanker fleet sizing problem[J]. Transportation Research Part E: Logistics and Transportation Review, 2017, 99: 96-114. doi: 10.1016/j.tre.2017.01.003
    [33]
    BAKKEHAUG R, EIDEM E S, FAGERHOLT K, et al. A stochastic programming formulation for strategic fleet renewal in shipping[J]. Transportation Research Part E: Logistics and Transportation Review, 2014, 72: 60-76. doi: 10.1016/j.tre.2014.09.010
    [34]
    PANTUSO G, FAGERHOLT K, WALLACE S W. Uncertainty in fleet renewal: a case from maritime transportation[J]. Transportation Science, 2016, 50(2): 390-407. doi: 10.1287/trsc.2014.0566
    [35]
    QI Jun, WANG Li-zheng, SU Shao-juan. Passenger liner dynamic fleet planning mathematical model and solving method[J]. Journal of Transportation Systems Engineering and Information Technology, 2017, 17(4): 195-200. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT201704029.htm
    [36]
    ARSLAN A N, PAPAGEORGIOU D J. Bulk ship fleet renewal and deployment under uncertainty: a multi-stage stochastic programming approach[J]. Transportation Research Part E: Logistics and Transportation Review, 2017, 97: 69-96. doi: 10.1016/j.tre.2016.10.009
    [37]
    ZHENG Shi-yuan, CHEN Shun. Fleet replacement decisions under demand and fuel price uncertainties[J]. Transportation Research Part D: Transport and Environment, 2018, 60: 153-173. doi: 10.1016/j.trd.2016.09.001
    [38]
    YANG Zhong-zhen, JIANG Zhen-feng, NOTTEBOOM T, et al. The impact of ship scrapping subsidies on fleet renewal decisions in dry bulk shipping[J]. Transportation Research Part E: Logistics and Transportation Review, 2019, 126: 177-189. doi: 10.1016/j.tre.2019.04.008
    [39]
    KARLAFTIS M G, KEPAPTSOGLOU K, SAMBRACOS E. Containership routing with time deadlines and simultaneous deliveries and pick-ups[J]. Transportation Research Part E: Logistics and Transportation Review, 2009, 45(1): 210-221. doi: 10.1016/j.tre.2008.05.001
    [40]
    KEPAPTSOGLOU K, FOUNTAS G, KARLAFTIS M G. Weather impact on containership routing in closed seas: a chance-constraint optimization approach[J]. Transportation Research Part C: Emerging Technologies, 2015, 55: 139-155. doi: 10.1016/j.trc.2015.01.027
    [41]
    POLAT O, GUNTHER H O, KULAK O. The feeder network design problem: application to container services in the Black Sea region[J]. Maritime Economics and Logistics, 2014, 16(3): 343-369. doi: 10.1057/mel.2014.2
    [42]
    DU Jian, ZHAO Xu, JI Ming-jun. Planning model of feeder shipping network for container liners under considering shipper perference[J]. Journal of Traffic and Transportation Engineering, 2017, 17(3): 131-140. (in Chinese). doi: 10.3969/j.issn.1671-1637.2017.03.014
    [43]
    SHINTANI K, IMAI A, NISHIMURA E, et al. The container shipping network design problem with empty container repositioning[J]. Transportation Research Part E: Logistics and Transportation Review, 2007, 43(1): 39-59. doi: 10.1016/j.tre.2005.05.003
    [44]
    GELAREH S, MENG Qiang. A novel modeling approach for the fleet deployment problem within a short-term planning horizon[J]. Transportation Research Part E: Logistics and Transportation Review, 2010, 46(1): 76-89. doi: 10.1016/j.tre.2009.06.004
    [45]
    ZHAO Hui, HU Hao, LIN Yi-song. Study on China-EU container shipping network in the context of Northern Sea Route[J]. Journal of Transport Geography, 2016, 53: 50-60. doi: 10.1016/j.jtrangeo.2016.01.013
    [46]
    CHANDRA S, CHRISTIANSEN M, FAGERHOLT K. Combined fleet deployment and inventory management in roll-on/roll-off shipping[J]. Transportation Research Part E: Logistics and Transportation Review, 2016, 92: 43-55. doi: 10.1016/j.tre.2016.03.014
    [47]
    MONEMI R N, GELAREH S. Network design, fleet deployment and empty repositioning in liner shipping[J]. Transportation Research Part E: Logistics and Transportation Review, 2017, 108: 60-79. doi: 10.1016/j.tre.2017.07.005
    [48]
    NG M W. Distribution-free vessel deployment for liner shipping[J]. European Journal of Operational Research, 2014, 238(3): 858-862. doi: 10.1016/j.ejor.2014.04.019
    [49]
    NG M W. Container vessel fleet deployment for liner shipping with stochastic dependencies in shipping demand[J]. Transportation Research Part B: Methodological, 2015, 74: 79-87. doi: 10.1016/j.trb.2015.01.004
    [50]
    NG M W, LIN D Y. Fleet deployment in liner shipping with incomplete demand information[J]. Transportation Research Part E: Logistics and Transportation Review, 2018, 116: 184-189. doi: 10.1016/j.tre.2018.06.004
    [51]
    GELAREH S, NICKEL S, PISINGER D. Liner shipping hub network design in a competitive environment[J]. Transportation Research Part E: Logistics and Transportation Review, 2010, 46(6): 991-1004. doi: 10.1016/j.tre.2010.05.005
    [52]
    GELAREH S, PISINGER D. Fleet deployment, network design and hub location of liner shipping companies[J]. Transportation Research Part E: Logistics and Transportation Review, 2011, 47(6): 947-964. doi: 10.1016/j.tre.2011.03.002
    [53]
    ASGARI N, FARAHANI R Z, GOH M. Network design approach for hub ports-shipping companies competition and cooperation[J]. Transportation Research Part A: Policy and Practice, 2013, 48: 1-18. doi: 10.1016/j.tra.2012.10.020
    [54]
    ZHENG Jian-feng, MENG Qiang, SUN Zhuo. Liner hub-and-spoke shipping network design[J]. Transportation Research Part E: Logistics and Transportation Review, 2015, 75: 32-48. doi: 10.1016/j.tre.2014.12.014
    [55]
    ZHENG Jian-feng, GAO Zi-you, YANG Dong, et al. Network design and capacity exchange for liner alliances with fixed and variable container demands[J]. Transportation Science, 2015, 49(4): 886-899. doi: 10.1287/trsc.2014.0572
    [56]
    ZHENG Jian-feng, YANG Dong. Hub-and-spoke network design for container shipping along the Yangtze River[J]. Journal of Transport Geography, 2016, 55: 51-57. doi: 10.1016/j.jtrangeo.2016.07.001
    [57]
    MOON I K, QIU Z B, WANG J H. A combined tramp ship routing, fleet deployment, and network design problem[J]. Maritime Policy and Management, 2015, 42(1): 68-91. doi: 10.1080/03088839.2013.865847
    [58]
    MENG Qiang, WANG Shuai-an. Liner shipping service network design with empty container repositioning[J]. Transportation Research Part E: Logistics and Transportation Review, 2011, 47(5): 695-708. doi: 10.1016/j.tre.2011.02.004
    [59]
    WANG Shuai-an, LIU Zhi-yuan, MENG Qiang. Segment-based alteration for container liner shipping network design[J]. Transportation Research Part B: Methodological, 2015, 72: 128-145. doi: 10.1016/j.trb.2014.11.011
    [60]
    WANG Shuai-an, MENG Qiang. Liner ship fleet deployment with container transshipment operations[J]. Transportation Research Part E: Logistics and Transportation Review, 2012, 48(2): 470-484. doi: 10.1016/j.tre.2011.10.011
    [61]
    ZHAO Yu-zhe, ZHOU Jing-miao, KUANG Hai-bo, et al. Integrated optimization for routes, flows and vessels of the shipping network under asset integration[J]. Systems Engineering—Theory and Practice, 2018, 38(8): 2110-2122. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-XTLL201808018.htm
    [62]
    WU Shan-hua, SUN Yu, LIAN Feng, et al. Reposition of empty containers of different life stages integrated with liner shipping network design[J]. Maritime Policy and Management, 2019, 1-15.
    [63]
    ZHEN Li, HU Yi, WANG Shuai-an, et al. Fleet deployment and demand fulfillment for container shipping liners[J]. Transportation Research Part B: Methodological, 2019, 120: 15-32. doi: 10.1016/j.trb.2018.11.011
    [64]
    HENNIG F, NYGREEN B, CHRISTIANSEN M, et al. Maritime crude oil transportation—a split pickup and split delivery problem[J]. European Journal of Operational Research, 2012, 218(3): 764-774. doi: 10.1016/j.ejor.2011.09.046
    [65]
    SIDDIQUI A W, VERMA M. A bi-objective approach to routing and scheduling maritime transportation of crude oil[J]. Transportation Research Part D: Transport and Environment, 2015, 37: 65-78. doi: 10.1016/j.trd.2015.04.010
    [66]
    DE ASSIS L S, CAMPONOGARA E. A MILP model for planning the trips of dynamic positioned tankers with variable travel time[J]. Transportation Research Part E: Logistics and Transportation Review, 2016, 93: 372-388. doi: 10.1016/j.tre.2016.06.009
    [67]
    LI Feng, YANG Dong, WANG Shuai-an, et al. Ship routing and scheduling problem for steel plants cluster alongside the Yangtze River[J]. Transportation Research Part E: Logistics and Transportation Review, 2019, 122: 198-210. doi: 10.1016/j.tre.2018.12.001
    [68]
    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
    [69]
    TANG Lei, XIE Xin-lian, WANG Cheng-wu. Model of tramp ship scheduling with variable speed based on set partition approach[J]. Journal of Shanghai Jiaotong University, 2013, 47(6): 909-915. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-SHJT201306011.htm
    [70]
    YU Bin, WANG Ke-ming, WANG Can, et al. Ship scheduling problems in tramp shipping considering static and spot cargoes[J]. International Journal of Shipping and Transport Logistics, 2017, 9(4): 391-416. doi: 10.1504/IJSTL.2017.084825
    [71]
    JIANG Zhen-feng, CHEN Dong-xu, YANG Zhong-zhen, et al. Scheduling optimazation of tramp shipping based on temporal and spatial attributes of shipping demand[J]. Journal of Traffic and Transportation Engineering, 2019, 19(3): 157-165. (in Chinese). doi: 10.3969/j.issn.1671-1637.2019.03.016
    [72]
    SHOU Yong-yi, LAI Chang-tao, LYU Ru-fu. Multi-objective optimization model and ant colony optimization of liner ship scheduling[J]. Journal of Traffic and Transportation Engineering, 2011, 11(4): 84-88. (in Chinese). http://transport.chd.edu.cn/article/id/201104013
    [73]
    WANG Shuai-an, MENG Qiang, LIU Zhi-yuan. Containership scheduling with transit-time-sensitive container shipment demand[J]. Transportation Research Part B: Methodological, 2013, 54: 68-83. doi: 10.1016/j.trb.2013.04.003
    [74]
    SONG Dong-ping, DONG Jing-xin. Cargo routing and empty container repositioning in multiple shipping service routes[J]. Transportation Research Part B: Methodological, 2012, 46(10): 1556-1575. doi: 10.1016/j.trb.2012.08.003
    [75]
    JEONG Y, SAHA S, CHATTERJEE D, et al. Direct shipping service routes with an empty container management strategy[J]. Transportation Research Part E: Logistics and Transportation Review, 2018, 118: 123-142. doi: 10.1016/j.tre.2018.07.009
    [76]
    LI Chen, QI Xiang-tong, SONG Dong-ping. Real-time schedule recovery in liner shipping service with regular uncertainties and disruption events[J]. Transportation Research Part B: Methodological, 2016, 93: 762-788. doi: 10.1016/j.trb.2015.10.004
    [77]
    REINHARDT L B, PISINGER D, SIGURD M M, et al. Speed optimizations for liner networks with business constraints[J]. European Journal of Operational Research, 2020, 285(3): 1127-1140. doi: 10.1016/j.ejor.2020.02.043
    [78]
    CHRISTIANSEN M, FAGERHOLT K, RONEN D. Ship routing and scheduling: status and perspectives[J]. Transportation Science, 2004, 38(1): 1-18. doi: 10.1287/trsc.1030.0036
    [79]
    LIU Huan, FU Ming-liang, JIN Xin-xin, et al. Health and climate impacts of ocean-going vessels in East Asia[J]. Nature Climate Change, 2016, 6: 1037-1042. doi: 10.1038/nclimate3083
    [80]
    WAN Z, ZHU M, CHEN S, et al. Three steps to a green shipping industry[J]. Nature, 2016, 530: 275-277. doi: 10.1038/530275a
    [81]
    PSARAFTIS H N, KONTOVAS C A. Balancing the economic and environmental performance of maritime transportation[J]. Transportation Research Part D: Transport and Environment, 2010, 15(8): 458-462. doi: 10.1016/j.trd.2010.05.001
    [82]
    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
    [83]
    PANASIUK I, TURKINA L. The evaluation of investments efficiency of SOx scrubber installation[J]. Transportation Research Part D: Transport and Environment, 2015, 40: 87-96. doi: 10.1016/j.trd.2015.08.004
    [84]
    LINDSTAD H E, REHN C F, ESKELAND G S. Sulphur abatement globally in maritime shipping[J]. Transportation Research Part D: Transport and Environment, 2017, 57: 303-313. doi: 10.1016/j.trd.2017.09.028
    [85]
    ABADIE L M, GOICOECHEA N, GALARRAGA I. Adapting the shipping sector to stricter emissions regulations: Fuel switching or installing a scrubber?[J]. Transportation Research Part D: Transport and Environment, 2017, 57: 237-250. doi: 10.1016/j.trd.2017.09.017
    [86]
    PATRICKSSON O, 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
    [87]
    YANG Z L, ZHANG D, 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
    [88]
    HU H, YUAN J, NIAN V. Development of a multi-objective decision-making method to evaluate correlated decarbonization measures under uncertainty—the example of international shipping[J]. Transport Policy, 2019, 82: 148-157. doi: 10.1016/j.tranpol.2018.07.010
    [89]
    REN Jing-zheng, LÜTZEN M. Selection of sustainable alternative energy source for shipping: multi-criteria decision making under incomplete information[J]. Renewable and Sustainable Energy Reviews, 2017, 74: 1003-1019. doi: 10.1016/j.rser.2017.03.057
    [90]
    REN Jing-zheng, LIANG Han-wei. Measuring the sustainability of marine fuels: a fuzzy group multi-criteria decision making approach[J]. Transportation Research Part D: Transport and Environment, 2017, 54: 12-29. doi: 10.1016/j.trd.2017.05.004
    [91]
    CORBETT J J, WANG Hai-feng, WINEBRAKE J J. The effectiveness and costs of speed reductions on emissions from international shipping[J]. Transportation Research Part D: Transport and Environment, 2009, 14(8): 593-598. doi: 10.1016/j.trd.2009.08.005
    [92]
    CARIOU P. Is slow steaming a sustainable means of reducing CO2 emissions from container shipping?[J]. Transportation Research Part D: Transport and Environment, 2011, 16(3): 260-264. doi: 10.1016/j.trd.2010.12.005
    [93]
    KONTOVAS C A. The green ship routing and scheduling problem (GSRSP): a conceptual approach[J]. Transportation Research Part D: Transport and Environment, 2014, 31: 61-69. doi: 10.1016/j.trd.2014.05.014
    [94]
    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
    [95]
    DOUDNIKOFF M, LACOSTE R. Effect of a speed reduction of containerships in response to higher energy costs in Sulphur Emission Control Areas[J]. Transportation Research Part D: Transport and Environment, 2014, 28: 51-61. doi: 10.1016/j.trd.2014.03.002
    [96]
    FAGERHOLT K, PSARAFTIS H N. On two speed optimization problems for ships that sail in and out of emission control areas[J]. Transportation Research Part D: Transport and Environment, 2015, 39: 56-64. doi: 10.1016/j.trd.2015.06.005
    [97]
    ADLAND R, FONNES G, JIA Hai-ying, et al. The impact of regional environmental regulations on empirical vessel speeds[J]. Transportation Research Part D: Transport and Environment, 2017, 53: 37-49. doi: 10.1016/j.trd.2017.03.018
    [98]
    CARIOU P, CHEAITOU A, LARBI R, et al. Liner shipping network design with emission control areas: a genetic algorithm-based approach[J]. Transportation Research Part D: Transport and Environment, 2018, 63: 604-621. doi: 10.1016/j.trd.2018.06.020
    [99]
    LEE T C, CHANG Y T, LEE P T W. Economy-wide impact analysis of a carbon tax on international container shipping[J]. Transportation Research Part A: Policy and Practice, 2013, 58: 87-102. doi: 10.1016/j.tra.2013.10.002
    [100]
    KOSMAS V, ACCIARO M. Bunker levy schemes for greenhouse gas (GHG) emission reduction in international shipping[J]. Transportation Research Part D: Transport and Environment, 2017, 57: 195-206. doi: 10.1016/j.trd.2017.09.010
    [101]
    ZHU M, YUEN K F, GE J W, et al. Impact of maritime emissions trading system on fleet deployment and mitigation of CO2 emission[J]. Transportation Research Part D: Transport and Environment, 2018, 62: 474-488. doi: 10.1016/j.trd.2018.03.016
    [102]
    DAI W L, FU X W, YIP T L, et al. Emission charge and liner shipping network configuration—an economic investigation of the Asia-Europe route[J]. Transportation Research Part A: Policy and Practice, 2018, 110: 291-305. doi: 10.1016/j.tra.2017.12.005
    [103]
    GU Ye-wen, WALLACE S W, WANG Xin. Can an emission trading scheme really reduce CO2 emissions in the short term?Evidence from a maritime fleet composition and deployment model[J]. Transportation Research Part D: Transport and Environment, 2019, 74: 318-338. doi: 10.1016/j.trd.2019.08.009
    • Relative Articles
    • Supplements(0)
    • Cited By

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (3876) PDF downloads(779) Cited by()
    Related

    Copyright《Journal of Traffic and Transportation Engineering》编辑部陕ICP备05001904号-1

    Address ：Editorial Department of Journal of Traffic and Transportation Engineering, Chang 'an University, Middle Section of South Second Ring Road, Xi 'an, Shaanxi（710064） Tel：029-82334388 Email：jygc@chd.edu.cn

    All visit:Today's visit:

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return