Risk analysis of maritime accidents along the main route of the Maritime Silk Road: a Bayesian network approach
The safety of maritime transportation along the twenty-first century Maritime Silk Road (MSR) is important to ensure its development and sustainability. Maritime transportation poses risks of accidents that can cause the death or injury of crew members and damage to ships and the environment. This p...
Saved in:
Published in | Maritime policy and management Vol. 47; no. 6; pp. 815 - 832 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Abingdon
Routledge
17.08.2020
Taylor & Francis Ltd |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | The safety of maritime transportation along the twenty-first century Maritime Silk Road (MSR) is important to ensure its development and sustainability. Maritime transportation poses risks of accidents that can cause the death or injury of crew members and damage to ships and the environment. This paper proposes a Bayesian network (BN) based risk analysis approach that is newly applied in the main route of the MSR to analyse its relevant maritime accidents. The risk data are manually collected from the reports of the accident that occurred along the MSR. Next, the risk factors are identified and the results from the modelling method can provide useful insights for accident prevention. Historical data collected from accident reports are used to estimate the prior probabilities of the identified risk factors influencing the occurrence of maritime accidents. The results show that the main influencing factors are the type and location of an accident and the type, speed, and age of the involved ship(s). In addition, scenario analysis is conducted to analyse the risks of different ships in various navigational environments. The findings can be used to analyse the probability of each possible maritime accident along MSR and to provide useful insights for shipowners' accident prevention. |
---|---|
AbstractList | The safety of maritime transportation along the twenty-first century Maritime Silk Road (MSR) is important to ensure its development and sustainability. Maritime transportation poses risks of accidents that can cause the death or injury of crew members and damage to ships and the environment. This paper proposes a Bayesian network (BN) based risk analysis approach that is newly applied in the main route of the MSR to analyse its relevant maritime accidents. The risk data are manually collected from the reports of the accident that occurred along the MSR. Next, the risk factors are identified and the results from the modelling method can provide useful insights for accident prevention. Historical data collected from accident reports are used to estimate the prior probabilities of the identified risk factors influencing the occurrence of maritime accidents. The results show that the main influencing factors are the type and location of an accident and the type, speed, and age of the involved ship(s). In addition, scenario analysis is conducted to analyse the risks of different ships in various navigational environments. The findings can be used to analyse the probability of each possible maritime accident along MSR and to provide useful insights for shipowners’ accident prevention. |
Author | Lu, Jing Li, Jing Jiang, Meizhi Yang, Zaili |
Author_xml | – sequence: 1 givenname: Meizhi orcidid: 0000-0003-3244-8427 surname: Jiang fullname: Jiang, Meizhi organization: Dalian Maritime University – sequence: 2 givenname: Jing orcidid: 0000-0003-2042-2887 surname: Lu fullname: Lu, Jing email: lujing@dlmu.edu.cn organization: Dalian Maritime University – sequence: 3 givenname: Zaili orcidid: 0000-0003-1385-493X surname: Yang fullname: Yang, Zaili organization: Offshore and Marine Research Institute, Liverpool John Moores University – sequence: 4 givenname: Jing surname: Li fullname: Li, Jing organization: Dalian Maritime University |
BookMark | eNqFkE1LAzEQhoNUsH78BCHgeTXJJptdvfiBX1ARqp7DbDZrU7dJTVKk_95dWi8e9DQw87wzzLOPRs47g9AxJaeUlOSM5KQsy7w6ZYT1LZkTQskOGlNe8EwwwUdoPDDZAO2h_RjnhBCe03KM_NTGDwwOunW0EfsWLyDYZBcGg9a2MS5FDJ137zjNTD-0Dge_SmZAh87TD_5iuw889dCcY8DXsDbRgsPOpC8f-gvLZfCgZ4dot4UumqNtPUBvd7evNw_Z5Pn-8eZqkmkuRcp4LWupC8mpIKyoq7Yqa1oYWdBaM2LKRjPDoG5aLaWQtDFUVIWguqnKIoeW5QfoZLO3P_u5MjGpuV-F_s2oGOek4LQSA3WxoXTwMQbTKm0TJOtdCmA7RYkaDKsfw2owrLaG-7T4lV4G2-tb_5u73OSsa31YQC-oa1SCdedDG8BpG1X-94pv442USw |
CitedBy_id | crossref_primary_10_1016_j_oceaneng_2022_113563 crossref_primary_10_3390_jmse10081154 crossref_primary_10_1016_j_oceaneng_2023_114577 crossref_primary_10_1088_1755_1315_1423_1_012043 crossref_primary_10_3390_su15064965 crossref_primary_10_1080_17445302_2021_2003067 crossref_primary_10_1016_j_ocecoaman_2022_106200 crossref_primary_10_3390_app14104104 crossref_primary_10_3390_rs13173530 crossref_primary_10_3390_safety10010008 crossref_primary_10_1016_j_oceaneng_2023_113999 crossref_primary_10_1002_hfm_21029 crossref_primary_10_3390_su16188246 crossref_primary_10_1016_j_jclepro_2024_140630 crossref_primary_10_1016_j_tre_2020_101965 crossref_primary_10_1016_j_tust_2023_105247 crossref_primary_10_3389_fmars_2025_1547305 crossref_primary_10_1080_03088839_2021_2017042 crossref_primary_10_1080_23311916_2021_1989998 crossref_primary_10_1016_j_oceaneng_2023_116521 crossref_primary_10_1016_j_oceaneng_2023_114064 crossref_primary_10_52602_mtl_885205 crossref_primary_10_1016_j_psep_2022_05_035 crossref_primary_10_12716_1001_15_02_20 crossref_primary_10_1016_j_trd_2023_103960 crossref_primary_10_1016_j_jclepro_2022_133478 crossref_primary_10_1080_18366503_2024_2340170 crossref_primary_10_1016_j_psep_2024_10_074 crossref_primary_10_1177_14727978251318809 crossref_primary_10_1016_j_oceaneng_2024_119804 crossref_primary_10_1016_j_ress_2025_110911 crossref_primary_10_46754_jml_2023_12_004 crossref_primary_10_1016_j_psep_2024_08_062 crossref_primary_10_1016_j_ress_2024_110187 crossref_primary_10_1016_j_oceaneng_2024_117347 crossref_primary_10_1017_S0373463321000849 crossref_primary_10_1016_j_seares_2023_102445 crossref_primary_10_3390_jmse11040755 crossref_primary_10_1016_j_ress_2022_108938 crossref_primary_10_1016_j_oceaneng_2024_117183 crossref_primary_10_24006_jilt_2020_18_2_091 crossref_primary_10_24006_jilt_2020_18_2_91 crossref_primary_10_1016_j_ress_2022_108850 crossref_primary_10_1016_j_trpro_2022_09_002 crossref_primary_10_1007_s44196_024_00539_z crossref_primary_10_1016_j_asoc_2024_111823 crossref_primary_10_1080_03088839_2024_2324144 crossref_primary_10_1016_j_oceaneng_2021_109920 crossref_primary_10_1016_j_rsma_2023_103193 crossref_primary_10_1080_20464177_2024_2395665 crossref_primary_10_1016_j_marpolbul_2023_114791 crossref_primary_10_1111_risa_14074 crossref_primary_10_1016_j_ress_2024_110148 crossref_primary_10_1016_j_ress_2023_109422 crossref_primary_10_1016_j_oceaneng_2024_118527 crossref_primary_10_1016_j_oceaneng_2024_118605 crossref_primary_10_1016_j_apor_2022_103180 crossref_primary_10_1016_j_ocecoaman_2021_105859 crossref_primary_10_3390_jmse11081513 crossref_primary_10_1080_13675567_2024_2367555 crossref_primary_10_1016_j_marpolbul_2024_116966 crossref_primary_10_1016_j_oceaneng_2024_117736 crossref_primary_10_1109_ACCESS_2022_3168302 crossref_primary_10_1061_AJRUA6_RUENG_1204 crossref_primary_10_1016_j_oceaneng_2024_117610 crossref_primary_10_3390_jmse11071430 crossref_primary_10_3390_jmse13010117 crossref_primary_10_1016_j_ocecoaman_2023_106872 crossref_primary_10_1016_j_ress_2021_107777 crossref_primary_10_1016_j_ress_2021_108305 crossref_primary_10_1080_03088839_2023_2166685 crossref_primary_10_1016_j_oceaneng_2022_111028 crossref_primary_10_1016_j_oneear_2022_11_002 crossref_primary_10_4031_MTSJ_55_5_14 |
Cites_doi | 10.1016/j.ssci.2018.02.011 10.1080/03088839.2013.782952 10.1007/BF00994110 10.1007/BFb0053999 10.1016/j.oceaneng.2018.04.024 10.1016/j.ress.2016.07.001 10.1016/j.ssci.2014.12.010 10.1016/j.marpol.2018.10.001 10.1016/j.ijdrr.2018.10.019 10.1080/01441647.2017.1383532 10.1016/j.aap.2011.03.022 10.1080/13669877.2016.1147487 10.1016/j.oceaneng.2019.106152 10.1080/18128602.2012.675527 10.1016/j.ssci.2015.05.004 10.1016/j.trc.2015.03.006 10.1080/03088839.2014.1000992 10.1016/j.oceaneng.2018.06.054 10.1016/j.oceaneng.2018.04.086 10.1016/j.ssci.2014.04.010 10.1016/j.ress.2013.04.006 10.1016/j.ssci.2013.10.002 10.1016/j.aap.2011.01.008 10.1016/j.oceaneng.2019.05.077 10.1016/j.aap.2016.04.010 10.1016/j.ress.2016.08.007 10.1016/j.aap.2014.12.024 10.1111/j.1539-6924.2008.01158.x 10.1016/j.ress.2018.07.021 10.13140/RG.2.1.3805.3602 10.1016/j.aap.2015.01.002 10.1111/risa.12757 10.1016/j.ajsl.2018.06.005 10.1016/j.proeng.2017.08.146 |
ContentType | Journal Article |
Copyright | 2020 Informa UK Limited, trading as Taylor & Francis Group 2020 2020 Informa UK Limited, trading as Taylor & Francis Group |
Copyright_xml | – notice: 2020 Informa UK Limited, trading as Taylor & Francis Group 2020 – notice: 2020 Informa UK Limited, trading as Taylor & Francis Group |
DBID | AAYXX CITATION 7QF 7QQ 7SC 7SE 7SP 7SR 7TA 7TB 7TN 7TQ 7U5 8BQ 8FD DHY DON F1W F28 FR3 H8D H8G H96 JG9 JQ2 KR7 L.G L7M L~C L~D |
DOI | 10.1080/03088839.2020.1730010 |
DatabaseName | CrossRef Aluminium Industry Abstracts Ceramic Abstracts Computer and Information Systems Abstracts Corrosion Abstracts Electronics & Communications Abstracts Engineered Materials Abstracts Materials Business File Mechanical & Transportation Engineering Abstracts Oceanic Abstracts PAIS Index Solid State and Superconductivity Abstracts METADEX Technology Research Database PAIS International PAIS International (Ovid) ASFA: Aquatic Sciences and Fisheries Abstracts ANTE: Abstracts in New Technology & Engineering Engineering Research Database Aerospace Database Copper Technical Reference Library Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources Materials Research Database ProQuest Computer Science Collection Civil Engineering Abstracts Aquatic Science & Fisheries Abstracts (ASFA) Professional Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional |
DatabaseTitle | CrossRef Materials Research Database Aquatic Science & Fisheries Abstracts (ASFA) Professional Technology Research Database Computer and Information Systems Abstracts – Academic Mechanical & Transportation Engineering Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Materials Business File Aerospace Database Copper Technical Reference Library Engineered Materials Abstracts Oceanic Abstracts Advanced Technologies Database with Aerospace ANTE: Abstracts in New Technology & Engineering Civil Engineering Abstracts Aluminium Industry Abstracts Electronics & Communications Abstracts Ceramic Abstracts METADEX Computer and Information Systems Abstracts Professional Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources PAIS International ASFA: Aquatic Sciences and Fisheries Abstracts Solid State and Superconductivity Abstracts Engineering Research Database Corrosion Abstracts |
DatabaseTitleList | Materials Research Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Economics Military & Naval Science |
EISSN | 1464-5254 |
EndPage | 832 |
ExternalDocumentID | 10_1080_03088839_2020_1730010 1730010 |
Genre | Research Article |
GroupedDBID | ..I .7I .QK 0BK 0R~ 29M 4.4 5GY 5VS 8VB AAGZJ AAMFJ AAMIU AAPUL AATTQ AAZMC ABCCY ABFIM ABJNI ABLIJ ABPEM ABTAI ABXUL ABXYU ABZLS ACGFS ACGOD ACHQT ACIWK ACTIO ACTOA ADAHI ADCVX ADKVQ ADLRE ADQGD ADXPE AECIN AEISY AEKEX AEOZL AEPSL AEYOC AEZRU AGDLA AGMYJ AGRBW AHDZW AIJEM AJWEG AKBVH ALMA_UNASSIGNED_HOLDINGS ALQZU AMPAP AVBZW AWYRJ BEJHT BLEHA BMOTO BOHLJ CCCUG CQ1 CS3 DGFLZ DKSSO EBS E~B E~C G-F GTTXZ H13 HF~ HZ~ IPNFZ J.O KYCEM LJTGL M4Z MS~ NA5 O9- PQQKQ QWB RIG RNANH ROSJB RSYQP S-F STATR TBQAZ TEK TFH TFL TFW TNTFI TRJHH TUROJ UT5 UT9 VAE ZL0 ~01 ~S~ AAGDL AAHIA AAYXX ADYSH AEFOU AFRVT AIYEW AKVCP AMPGV CITATION 7QF 7QQ 7SC 7SE 7SP 7SR 7TA 7TB 7TN 7TQ 7U5 8BQ 8FD DHY DON F1W F28 FR3 H8D H8G H96 JG9 JQ2 KR7 L.G L7M L~C L~D TASJS |
ID | FETCH-LOGICAL-c475t-4b7b7c67415026b9f98b16e761bc20e8dc2e2abdfc77571de159651cd9863af23 |
ISSN | 0308-8839 |
IngestDate | Wed Aug 13 09:18:54 EDT 2025 Tue Jul 01 01:51:08 EDT 2025 Thu Apr 24 23:12:35 EDT 2025 Wed Dec 25 09:09:29 EST 2024 |
IsDoiOpenAccess | false |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 6 |
Language | English |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-c475t-4b7b7c67415026b9f98b16e761bc20e8dc2e2abdfc77571de159651cd9863af23 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ORCID | 0000-0003-3244-8427 0000-0003-1385-493X 0000-0003-2042-2887 |
OpenAccessLink | https://researchonline.ljmu.ac.uk/id/eprint/12525/3/Risk%20analysis%20of%20maritime%20accidents%20along%20the%20main%20route%20of%20the%20Maritime%20Silk%20Road%20a%20Bayesian%20network%20approach%20.pdf |
PQID | 2440641952 |
PQPubID | 53048 |
PageCount | 18 |
ParticipantIDs | proquest_journals_2440641952 crossref_primary_10_1080_03088839_2020_1730010 crossref_citationtrail_10_1080_03088839_2020_1730010 informaworld_taylorfrancis_310_1080_03088839_2020_1730010 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2020-08-17 |
PublicationDateYYYYMMDD | 2020-08-17 |
PublicationDate_xml | – month: 08 year: 2020 text: 2020-08-17 day: 17 |
PublicationDecade | 2020 |
PublicationPlace | Abingdon |
PublicationPlace_xml | – name: Abingdon |
PublicationTitle | Maritime policy and management |
PublicationYear | 2020 |
Publisher | Routledge Taylor & Francis Ltd |
Publisher_xml | – name: Routledge – name: Taylor & Francis Ltd |
References | cit0011 cit0033 cit0012 cit0034 cit0031 cit0010 cit0032 cit0030 cit0019 cit0017 cit0018 cit0037 cit0016 cit0013 cit0014 cit0036 cit0022 cit0001 cit0023 cit0020 cit0021 Pearl J. (cit0015) 1988 Zhang D. (cit0035) 2014 cit0008 cit0009 cit0006 cit0028 cit0007 cit0029 cit0004 cit0026 cit0005 cit0027 cit0002 cit0024 cit0003 cit0025 |
References_xml | – ident: cit0037 doi: 10.1016/j.ssci.2018.02.011 – ident: cit0034 doi: 10.1080/03088839.2013.782952 – ident: cit0004 doi: 10.1007/BF00994110 – ident: cit0005 doi: 10.1007/BFb0053999 – ident: cit0002 doi: 10.1016/j.oceaneng.2018.04.024 – ident: cit0016 doi: 10.1016/j.ress.2016.07.001 – ident: cit0009 doi: 10.1016/j.ssci.2014.12.010 – ident: cit0014 doi: 10.1016/j.marpol.2018.10.001 – ident: cit0026 doi: 10.1016/j.ijdrr.2018.10.019 – ident: cit0024 doi: 10.1080/01441647.2017.1383532 – ident: cit0013 doi: 10.1016/j.aap.2011.03.022 – ident: cit0019 doi: 10.1080/13669877.2016.1147487 – ident: cit0006 – ident: cit0030 doi: 10.1016/j.oceaneng.2019.106152 – ident: cit0010 doi: 10.1080/18128602.2012.675527 – ident: cit0012 doi: 10.1016/j.ssci.2015.05.004 – ident: cit0020 doi: 10.1016/j.trc.2015.03.006 – ident: cit0021 doi: 10.1080/03088839.2014.1000992 – ident: cit0031 doi: 10.1016/j.oceaneng.2018.06.054 – ident: cit0022 doi: 10.1016/j.oceaneng.2018.04.086 – ident: cit0003 doi: 10.1016/j.ssci.2014.04.010 – ident: cit0036 doi: 10.1016/j.ress.2013.04.006 – ident: cit0001 doi: 10.1016/j.ssci.2013.10.002 – volume-title: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference year: 1988 ident: cit0015 – ident: cit0008 doi: 10.1016/j.aap.2011.01.008 – ident: cit0032 doi: 10.1016/j.oceaneng.2019.05.077 – ident: cit0011 doi: 10.1016/j.aap.2016.04.010 – ident: cit0018 doi: 10.1016/j.ress.2016.08.007 – ident: cit0028 doi: 10.1016/j.aap.2014.12.024 – ident: cit0033 doi: 10.1111/j.1539-6924.2008.01158.x – ident: cit0025 doi: 10.1016/j.ress.2018.07.021 – ident: cit0023 doi: 10.13140/RG.2.1.3805.3602 – volume-title: Pro-ceedings of the probabilistic safety assessment and management (PSAM) 12 confer- ence year: 2014 ident: cit0035 – ident: cit0027 doi: 10.1016/j.aap.2015.01.002 – ident: cit0029 doi: 10.1111/risa.12757 – ident: cit0007 doi: 10.1016/j.ajsl.2018.06.005 – ident: cit0017 doi: 10.1016/j.proeng.2017.08.146 |
SSID | ssj0004318 |
Score | 2.4969583 |
Snippet | The safety of maritime transportation along the twenty-first century Maritime Silk Road (MSR) is important to ensure its development and sustainability.... |
SourceID | proquest crossref informaworld |
SourceType | Aggregation Database Enrichment Source Index Database Publisher |
StartPage | 815 |
SubjectTerms | Accident prevention Analysis Bayesian analysis Bayesian network Crew Forensic engineering History Identification Marine transportation maritime risk maritime safety Maritime Silk Road Prevention Probability theory Risk analysis Risk factors Safety scenario analysis sensitivity analysis Shipping Ships Sustainability Sustainable development Transportation Transportation safety |
Title | Risk analysis of maritime accidents along the main route of the Maritime Silk Road: a Bayesian network approach |
URI | https://www.tandfonline.com/doi/abs/10.1080/03088839.2020.1730010 https://www.proquest.com/docview/2440641952 |
Volume | 47 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3Pb9MwFLbKdoALggHa2EA-IC5TqiZN7GS3AZuqaS3SaEW1S-Q4johom2lND9tfwp_Le_6RpurEgEtUuc912_fl-dl532dCPogoFDLvR14BzvfCWME9xxLhCRZH0hcZjyWSk4cjNpiEF9No2un8alUtreqsK-8f5JX8j1ehDfyKLNl_8GzzodAAr8G_cAUPw_WvfHyFdeGiJSsyF6hRNEeJDImnhdbLYzGrLCFqLpC7UrUKA4bO_Fs5-3l8VYnccJ8_iTulyZULUyTeKI-3U9mm842WFtZPIeZbxTQXpd2QHqry_kfZ1P-sNHzcvIlhx9pdi3K2Nis3zOzuRKBr4wwZU-NpvHVQSKtaSZO2wD6OjZ5RV5kYHLIQ1sdGW9oFaSPLacHYjrixYYO6ydtslm7NC7aQEkbDwbr4Tbs-SvXbmtoNHe7R1_R8cnmZjs-m4ydkN4AFCETQ3dPBl-vva86t2TtufoBjh6Fu-0PDbOQ9G6q4W1mATm3GL8hzuyahpwZgL0lHLfbIU0dZX-6R_aHWcr-9ox_pSACCqZ0SXpEKMUgdBmlVUIdB2mCQagxSQBxFDFKNQTTFFgcjihikiMETKqhDILUIpA6Br8nk_Gz8eeDZQzw8GfKo9sKMZ1wyTFxhuZ8lRRJnPlOc-ZkMeirOZaACkeWF5Dzifq4gv2aRL_MkZn1RBP03ZGdRLdQ-oRHLQ174ed4LVMjAIJGyxyFF5jk-XI8PSOj-4lRahXs8aGWW-k4I13omRc-k1jMHpNt0uzESL491SNr-S2sN8sLgO-0_0vfIOTu1kWSZQooNKwM_iYK3f377kDxb32RHZKe-Xal3kBTX2XuLz9_JRrE2 |
linkProvider | Library Specific Holdings |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwELbQ9lAuPAqohQI-IG5Z1olf4QaIKpTuHpat1JvlV9BqtwnazR7Kr8eT2NCCUA-92h4rscfjL5OZbxB6oxnV1hUsq8PmZ1T6cOZ4qTPNJbNEGyEtJCdPZ7w6p6cX7OJaLgyEVcI3dD0QRfS2Gg43OKNTSNw74FiRss8zyUMTUK5DltUeK2khR2hvMT-tqj_ZkYOXD4QykEp5PP-b6MYNdYO_9B973V9CJw-RTY8_xJ6sxrvOjO3Pv5gd7_Z-j9CDiFHxh0GpHqN7vjlA-ymFeXuADqc9t_fmCr_FMx10FUcT8QS18-V2hXWkOsFtjS818CZdeqythQqm3Rbrddt8xwF6hs5lgzftrvMwFFqmafi35XqF561277HGH_WVh3RP3Axh6zhxoT9F5yefF5-qLBZ1yCwVrMuoEUZYDkAmfP6Zsi6lIdwLTozNJ146m_tcG1dbIZggzge8xRmxrpS80HVePEOjpm38IcKMOypq4twk95SHAaW1ExEgk3Dws1UeIZo2UtnIeA6FN9aKJGLUuNAKFlrFhT5C499iPwbKj9sEyutaorre11IPhVFUcYvscVIpFa3HVgXIFZAiKVn-_A5Tv0b71WJ6ps6-zL6-QPehC5zhRByjUbfZ-ZcBTXXmVTwuvwApvw-Z |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LbxMxELZQKgEXKAXUQgEfELcN8Wb9WG4tJQqFRCi0EjfLTxQl3a2ym0P59Xh2baAg1EOvtsfatcfjz_bMNwi9VrRQxo5p5sPkZ4VwYc2xUmWKCWqI0lwYCE6ezdn0vDj9RpM3YRPdKuEM7XuiiM5Ww-K-tD55xL0FihUhujCTPBQB4zoEWe0woMMboJ2zxel0-js4sr_kA6EMpFIYz_86urZBXaMv_cdcd3vQ5CHS6et715PVcNvqofnxF7HjrX5vFz2ICBUf9Sr1CN1x1R66lwKYmz20P-uYvTdX-A2eq6CpOBqIx6heLJsVVpHoBNceXyhgTbpwWBkD-UvbBqt1XX3HAXiGymWFN_W2ddAUSmap-dfleoUXtbLvsMLH6spBsCeueqd1nJjQn6DzyYez99MspnTITMFpmxWaa24YwJhw-NOlL4UmzHFGtMlHTliTu1xp6w3nlBPrAtpilBhbCjZWPh8_RYOqrtw-wpTZgnti7Sh3BQsNSmNGPAAmbuGpVRygIs2jNJHvHNJurCVJtKhxoCUMtIwDfYCGv8Que8KPmwTKP5VEtt1Ni-_TosjxDbKHSaNktB2NDIAr4ERS0vzZLbp-he5-OZnIzx_nn56j-1ADN-GEH6JBu9m6FwFKtfplXCw_AbU0Dj0 |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Risk+analysis+of+maritime+accidents+along+the+main+route+of+the+Maritime+Silk+Road%3A+a+Bayesian+network+approach&rft.jtitle=Maritime+policy+and+management&rft.au=Jiang%2C+Meizhi&rft.au=Lu%2C+Jing&rft.au=Yang%2C+Zaili&rft.au=Li%2C+Jing&rft.date=2020-08-17&rft.pub=Taylor+%26+Francis+Ltd&rft.issn=0308-8839&rft.eissn=1464-5254&rft.volume=47&rft.issue=6&rft.spage=815&rft.epage=832&rft_id=info:doi/10.1080%2F03088839.2020.1730010&rft.externalDBID=NO_FULL_TEXT |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0308-8839&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0308-8839&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0308-8839&client=summon |