Exploring the temporal structure of time series data for hazardous liquid pipeline incidents based on complex network theory
The pipelines that transport hazardous liquids (e.g., petroleum and petroleum products) across cities or countries are critical to the energy-supply infrastructure, and they are crucial for the reliable and secure operation of a city. Estimating the occurrence rate of serious pipeline accidents with...
Uloženo v:
| Vydáno v: | International journal of critical infrastructure protection Ročník 26; s. 100308 |
|---|---|
| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier B.V
01.09.2019
|
| Témata: | |
| ISSN: | 1874-5482, 2212-2087 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | The pipelines that transport hazardous liquids (e.g., petroleum and petroleum products) across cities or countries are critical to the energy-supply infrastructure, and they are crucial for the reliable and secure operation of a city. Estimating the occurrence rate of serious pipeline accidents with sparse data is a challenging problem in pipeline safety management because serious hazardous liquid pipeline accidents are caused by a particular multidimensional sequence of events. In this paper, complex network theory was employed to detect the temporal structure of pipeline incidents and reveal the nonlinear connections between major accidents and their precursors. A database of hazardous liquid pipeline incidents in the US between 2010 and 2018 collected by the Pipeline Hazardous Material Safety Administration (PHMSA) of the US Department of Transportation was transformed into a complex network via the visibility graph algorithm. The temporal structure of the pipeline incident time series for different years and different companies was explored by applying complex network analysis. The results show the scale-free property and small-world topology of the constructed networks and provide the rationale for applying the hierarchical Bayesian model to predict the occurrence rate of major accidents in a pipeline system when there is sparse data. The benefits of using the hierarchical Bayesian model for estimating the occurrence rate were illustrated by comparing it with three different methods. Furthermore, posterior predictive checks were performed to validate whether the results of the hierarchical Bayesian model are consistent with the real data. The result indicates that it is reasonable to apply the hierarchical Bayesian model to estimate the occurrence rate of serious pipeline accidents when there is sparse data. Finally, practical applications of the temporal structure of the incidents were proposed for improved pipeline safety management. Our results provide the underlying new insights needed to enhance quantitative analyses of pipeline incidents. |
|---|---|
| AbstractList | The pipelines that transport hazardous liquids (e.g., petroleum and petroleum products) across cities or countries are critical to the energy-supply infrastructure, and they are crucial for the reliable and secure operation of a city. Estimating the occurrence rate of serious pipeline accidents with sparse data is a challenging problem in pipeline safety management because serious hazardous liquid pipeline accidents are caused by a particular multidimensional sequence of events. In this paper, complex network theory was employed to detect the temporal structure of pipeline incidents and reveal the nonlinear connections between major accidents and their precursors. A database of hazardous liquid pipeline incidents in the US between 2010 and 2018 collected by the Pipeline Hazardous Material Safety Administration (PHMSA) of the US Department of Transportation was transformed into a complex network via the visibility graph algorithm. The temporal structure of the pipeline incident time series for different years and different companies was explored by applying complex network analysis. The results show the scale-free property and small-world topology of the constructed networks and provide the rationale for applying the hierarchical Bayesian model to predict the occurrence rate of major accidents in a pipeline system when there is sparse data. The benefits of using the hierarchical Bayesian model for estimating the occurrence rate were illustrated by comparing it with three different methods. Furthermore, posterior predictive checks were performed to validate whether the results of the hierarchical Bayesian model are consistent with the real data. The result indicates that it is reasonable to apply the hierarchical Bayesian model to estimate the occurrence rate of serious pipeline accidents when there is sparse data. Finally, practical applications of the temporal structure of the incidents were proposed for improved pipeline safety management. Our results provide the underlying new insights needed to enhance quantitative analyses of pipeline incidents. |
| ArticleNumber | 100308 |
| Author | Yongtu, Liang Shengli, Liu |
| Author_xml | – sequence: 1 givenname: Liu surname: Shengli fullname: Shengli, Liu email: liushengli1234@126.com – sequence: 2 givenname: Liang surname: Yongtu fullname: Yongtu, Liang |
| BookMark | eNqFkLtOAzEQRS0UJELgC2j8Axv82DibggJF4SFFooHa8tqzZMLGXmyHl_h4NoSKAqqRRnPu6J5jMvDBAyFnnI054-p8Pca1xW4sGJ_1GyZZdUCGQnBRCFZNB2TIq2lZTMpKHJHjlNaMqUoqOSSfi7euDRH9I80roBk2XYimpSnHrc3bCDQ0NOMGaIKIkKgz2dAmRLoyHya6sE20xectOtphBy16oOgtOvA50dokcDR4asOma-GNesivIT7tfoX4fkIOG9MmOP2ZI_Jwtbif3xTLu-vb-eWysFKpXFQWjCyFlNbxmXE1E8AqMI2sBa8n1glpeN-y7g-MhMpypUorYOZKYZSSTI7IbJ9rY0gpQqMtZpMx-BwNtpozvdOo1_pbo95p1HuNPSt_sV3EjYnv_1AXewr6Wi8IUSeL4C04jGCzdgH_5L8AVvaS5w |
| CitedBy_id | crossref_primary_10_1016_j_esr_2023_101097 crossref_primary_10_1017_S0373463321000291 crossref_primary_10_1016_j_oceaneng_2024_119203 crossref_primary_10_3390_jmse9020139 |
| Cites_doi | 10.1016/j.jhazmat.2008.09.094 10.1016/j.ssci.2014.02.009 10.1016/j.margeo.2010.10.001 10.1016/j.jlp.2012.01.005 10.1016/j.ijcip.2018.10.010 10.1287/orsc.1070.0289 10.1016/j.pce.2015.02.008 10.1016/j.physa.2009.10.022 10.1038/s41598-017-07412-4 10.1016/j.ssci.2015.11.022 10.1016/j.scs.2018.01.021 10.1016/j.physa.2013.03.063 10.3390/e17117798 10.1016/j.ress.2016.08.003 10.1007/s11069-014-1271-8 10.1016/j.ijcip.2014.09.002 10.1146/annurev-bioeng-071516-044511 10.1016/j.physa.2012.07.054 10.1038/30918 10.1016/j.ssci.2016.08.012 10.1016/j.ssci.2017.06.012 10.1016/j.physrep.2005.10.009 10.1016/j.ress.2010.02.014 10.1016/j.psep.2016.08.011 10.1016/j.jlp.2006.10.003 10.1002/sim.3680 10.1016/j.psep.2016.05.004 10.1016/j.physa.2016.06.028 10.1016/j.ssci.2016.01.021 10.1016/j.ress.2014.01.015 10.1016/j.matdes.2013.03.055 10.1016/j.physa.2008.01.055 10.1016/j.ress.2011.06.016 10.1016/j.psep.2016.12.004 10.1016/j.ssci.2015.01.017 10.1016/j.ssci.2013.01.022 10.1016/S0950-4230(98)00038-2 10.1016/j.ress.2010.12.007 10.1016/j.ress.2011.07.010 10.1016/j.ssci.2016.08.022 10.1016/j.ijcip.2008.09.001 10.1115/IPC2018-78528 10.1016/j.physa.2009.07.016 10.1016/j.physa.2014.07.002 10.1111/j.1467-9310.2005.00418.x 10.1016/0951-8320(95)00097-6 10.1140/epjst/e2012-01695-x 10.1073/pnas.0709247105 10.1016/j.psep.2012.06.005 10.1016/j.chaos.2012.06.003 10.1103/PhysRevE.65.066122 10.1016/j.physa.2016.06.051 |
| ContentType | Journal Article |
| Copyright | 2019 Elsevier B.V. |
| Copyright_xml | – notice: 2019 Elsevier B.V. |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.ijcip.2019.100308 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Social Welfare & Social Work Engineering |
| EISSN | 2212-2087 |
| ExternalDocumentID | 10_1016_j_ijcip_2019_100308 S1874548219300277 |
| GroupedDBID | --K --M .DC .~1 0R~ 1B1 1~. 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ AACTN AAEDT AAEDW AAFJI AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAXUO AAYFN ABBOA ABMAC ABMMH ABXDB ABYKQ ACDAQ ACGFS ACNNM ACRLP ACZNC ADBBV ADEZE ADMUD ADTZH AEBSH AECPX AEKER AENEX AFKWA AFTJW AGHFR AGUBO AGYEJ AHJVU AHZHX AIALX AIEXJ AIKHN AITUG AJBFU AJOXV AKYCK ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOMHK AOUOD AVARZ AXJTR BJAXD BKOJK BLXMC EBS EFJIC EFLBG EJD EO9 EP2 EP3 FDB FEDTE FIRID FNPLU FYGXN GBLVA GBOLZ HVGLF HZ~ J1W JJJVA KOM M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. PRBVW Q38 RIG ROL SDF SES SPC SPCBC SSB SSO SST SSV SSZ T5K ~G- 9DU AATTM AAXKI AAYWO AAYXX ABJNI ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO ADVLN AEIPS AEUPX AFJKZ AFPUW AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP CITATION EFKBS ~HD |
| ID | FETCH-LOGICAL-c366t-8cea34233cd19adb02e08eaf3b21b5cd23a1087b33ca3e8c1664c2e9d42a66303 |
| ISICitedReferencesCount | 5 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000485796000010&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1874-5482 |
| IngestDate | Tue Nov 18 21:18:26 EST 2025 Sat Nov 29 07:01:57 EST 2025 Fri Feb 23 02:50:41 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Visibility graph algorithm Hazardous liquid pipelines Complex networks Hierarchical Bayesian model |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c366t-8cea34233cd19adb02e08eaf3b21b5cd23a1087b33ca3e8c1664c2e9d42a66303 |
| ParticipantIDs | crossref_citationtrail_10_1016_j_ijcip_2019_100308 crossref_primary_10_1016_j_ijcip_2019_100308 elsevier_sciencedirect_doi_10_1016_j_ijcip_2019_100308 |
| PublicationCentury | 2000 |
| PublicationDate | 2019-09-01 |
| PublicationDateYYYYMMDD | 2019-09-01 |
| PublicationDate_xml | – month: 09 year: 2019 text: 2019-09-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationTitle | International journal of critical infrastructure protection |
| PublicationYear | 2019 |
| Publisher | Elsevier B.V |
| Publisher_xml | – name: Elsevier B.V |
| References | (Accessed 1 December 2018). Telesca, Lovallo, Aggarwal, Khan (bib0026) 2015; 85–86 Sosa, Alvarez-ramirez (bib0033) 2009; 165 Fleming, Iii, Juda (bib0054) 2007; 18 (Accessed 22 January 2019). Jørgensen (bib0010) 2016; 81 Dorogovtsev, G.oltsev (bib0046) 2002; 65 Dundulis, Žutautaitė, Janulionis, Ušpuras, Rimkevičius, Eid (bib0003) 2016; 156 Lunn, Spiegelhalter, Thomas, Best (bib0051) 2009; 28 Ramírez-camacho, Carbone, Pastor, Bubbico, Casal (bib0006) 2017; 97 PHMSA, Data and Statistics Overview, (2019). Ã, Haimes (bib0015) 2010; 95 Guzmán-vargas, Aguilar-velázquez, Hernández-pérez (bib0045) 2015; 17 Bier, Yi (bib0017) 1995; 50 Meel, Neill, Levin, Seider, Oktem, Keren (bib0016) 2007; 20 Havlin, Kenett, Bunde, Cohen, Solomon, Portugali (bib0052) 2012; 214 S. Liu, Y. Liang, X. Wang, D. Han, Statistical analyses of incidents on onshore hazardous liquid pipelines based on PHMSA database, (2018) V002T07A019. doi Khakzad, Khan, Paltrinieri (bib0021) 2014; 126 Grazia, Homer (bib0012) 2017; 91 Boccaletti, Latora, Moreno, Chavez, Hwang (bib0047) 2006; 424 Jones, Kirchsteiger, Bjerke (bib0011) 1999; 12 Bubbico, Carbone, Ramírez-camacho, Pastor, Casal (bib0023) 2016; 104 Zuniga, Garnier, Remy, De Rocquigny (bib0049) 2011; 96 Raviv, Fishbain, Shapira (bib0030) 2017; 91 . Siler-evans, Hanson, Sunday, Leonard, Tumminello (bib0001) 2014; 7 Quigley, Hardman, Bedford, Walls (bib0050) 2011; 96 Bellamy (bib0041) 2015; 71 Sun, Wang, Gao (bib0038) 2016; 462 Zhou, Ding, Skibniewski, Luo, Jiang (bib0028) 2017; 98 High Country News, Nationwide, oil pipeline spills are a near-daily reality, (2017). Gnoni, Lettera (bib0032) 2012; 25 Yang, Wang, Yang, Mang (bib0036) 2009; 388 Kraidi, Shah, Matipa, Borthwick (bib0002) 2019; 24 Wang, Tian (bib0034) 2016; 461 Adedigba, Khan, Yang (bib0031) 2016; 102 Telesca, Lovallo, Pierini (bib0039) 2012; 45 Bassett, Khambhati, Grafton (bib0027) 2017; 19 Watts, Strogatz (bib0048) 1998; 393 Csoma, Avena-koenigsberger, Griffa, Hagmann (bib0044) 2017; 7 Konstandinidou, Nivolianitou, Kefalogianni, Caroni (bib0029) 2011; 96 Dimitris Assimakopoulos (bib0053) 2006; 36 Moura, Beer, Patelli, Lewis, Knoll (bib0018) 2016; 84 Khakzad, Khan, Amyotte (bib0020) 2013; 57 Alamilla, Sosa, Sánchez-magaña, Andrade-valencia, Contreras (bib0022) 2013; 50 Xie, Tian (bib0004) 2018; 38 Khakzad, Khakzad, Khan (bib0019) 2014; 74 Lacasa, Luque, Ballesteros, Luque, Nun (bib0025) 2008; 105 B.ezsudnov, Snarskii (bib0035) 2014; 414 Restrepo, Simonoff, Zimmerman (bib0005) 2009; 2 Hapke, Plant (bib0024) 2010; 278 NBC News, 66 dead, 76 injured in ruptured pipeline explosion outside Mexico city, (2019). Fabiano, Currò (bib0014) 2012; 90 Yu (bib0037) 2013; 392 Telesca, Lovallo (bib0042) 2008; 387 El-gheriani, Khan, Chen, Abbassi (bib0013) 2017; 106 Wang, Li, Wang (bib0040) 2012; 391 Zheng, Song, Satoh (bib0043) 2010; 389 Kelly, Siu (bib0055) 1998; 62 Wang (10.1016/j.ijcip.2019.100308_bib0034) 2016; 461 Khakzad (10.1016/j.ijcip.2019.100308_bib0019) 2014; 74 Bier (10.1016/j.ijcip.2019.100308_bib0017) 1995; 50 Csoma (10.1016/j.ijcip.2019.100308_bib0044) 2017; 7 Zhou (10.1016/j.ijcip.2019.100308_bib0028) 2017; 98 Quigley (10.1016/j.ijcip.2019.100308_bib0050) 2011; 96 Havlin (10.1016/j.ijcip.2019.100308_bib0052) 2012; 214 Sun (10.1016/j.ijcip.2019.100308_bib0038) 2016; 462 Raviv (10.1016/j.ijcip.2019.100308_bib0030) 2017; 91 Zuniga (10.1016/j.ijcip.2019.100308_bib0049) 2011; 96 Kelly (10.1016/j.ijcip.2019.100308_bib0055) 1998; 62 Alamilla (10.1016/j.ijcip.2019.100308_bib0022) 2013; 50 Xie (10.1016/j.ijcip.2019.100308_bib0004) 2018; 38 El-gheriani (10.1016/j.ijcip.2019.100308_bib0013) 2017; 106 Bubbico (10.1016/j.ijcip.2019.100308_bib0023) 2016; 104 Adedigba (10.1016/j.ijcip.2019.100308_bib0031) 2016; 102 Lunn (10.1016/j.ijcip.2019.100308_bib0051) 2009; 28 Konstandinidou (10.1016/j.ijcip.2019.100308_bib0029) 2011; 96 Telesca (10.1016/j.ijcip.2019.100308_bib0039) 2012; 45 10.1016/j.ijcip.2019.100308_bib0007 Yang (10.1016/j.ijcip.2019.100308_bib0036) 2009; 388 Dorogovtsev (10.1016/j.ijcip.2019.100308_bib0046) 2002; 65 10.1016/j.ijcip.2019.100308_bib0008 10.1016/j.ijcip.2019.100308_bib0009 Fleming (10.1016/j.ijcip.2019.100308_bib0054) 2007; 18 Lacasa (10.1016/j.ijcip.2019.100308_bib0025) 2008; 105 Zheng (10.1016/j.ijcip.2019.100308_bib0043) 2010; 389 Jones (10.1016/j.ijcip.2019.100308_bib0011) 1999; 12 Kraidi (10.1016/j.ijcip.2019.100308_bib0002) 2019; 24 B.ezsudnov (10.1016/j.ijcip.2019.100308_bib0035) 2014; 414 Guzmán-vargas (10.1016/j.ijcip.2019.100308_bib0045) 2015; 17 Jørgensen (10.1016/j.ijcip.2019.100308_bib0010) 2016; 81 Grazia (10.1016/j.ijcip.2019.100308_bib0012) 2017; 91 Meel (10.1016/j.ijcip.2019.100308_bib0016) 2007; 20 Siler-evans (10.1016/j.ijcip.2019.100308_bib0001) 2014; 7 Yu (10.1016/j.ijcip.2019.100308_bib0037) 2013; 392 10.1016/j.ijcip.2019.100308_bib0056 Khakzad (10.1016/j.ijcip.2019.100308_bib0020) 2013; 57 Wang (10.1016/j.ijcip.2019.100308_bib0040) 2012; 391 Bassett (10.1016/j.ijcip.2019.100308_bib0027) 2017; 19 Sosa (10.1016/j.ijcip.2019.100308_bib0033) 2009; 165 Ramírez-camacho (10.1016/j.ijcip.2019.100308_bib0006) 2017; 97 Khakzad (10.1016/j.ijcip.2019.100308_bib0021) 2014; 126 Dundulis (10.1016/j.ijcip.2019.100308_bib0003) 2016; 156 Restrepo (10.1016/j.ijcip.2019.100308_bib0005) 2009; 2 Dimitris Assimakopoulos (10.1016/j.ijcip.2019.100308_bib0053) 2006; 36 Telesca (10.1016/j.ijcip.2019.100308_bib0042) 2008; 387 Gnoni (10.1016/j.ijcip.2019.100308_bib0032) 2012; 25 Watts (10.1016/j.ijcip.2019.100308_bib0048) 1998; 393 Fabiano (10.1016/j.ijcip.2019.100308_bib0014) 2012; 90 Ã (10.1016/j.ijcip.2019.100308_bib0015) 2010; 95 Telesca (10.1016/j.ijcip.2019.100308_bib0026) 2015; 85–86 Bellamy (10.1016/j.ijcip.2019.100308_bib0041) 2015; 71 Moura (10.1016/j.ijcip.2019.100308_bib0018) 2016; 84 Hapke (10.1016/j.ijcip.2019.100308_bib0024) 2010; 278 Boccaletti (10.1016/j.ijcip.2019.100308_bib0047) 2006; 424 |
| References_xml | – volume: 50 start-page: 766 year: 2013 end-page: 773 ident: bib0022 article-title: Failure analysis and mechanical performance of an oil pipeline publication-title: Materials and Design – volume: 20 start-page: 113 year: 2007 end-page: 127 ident: bib0016 article-title: Operational risk assessment of chemical industries by exploiting accident databases publication-title: Journal of Loss Prevention in the Process Industries – volume: 96 start-page: 1691 year: 2011 end-page: 1712 ident: bib0049 article-title: Adaptive directional stratification for controlled estimation of the probability of a rare event publication-title: Reliability Engineering & System Safety – volume: 18 start-page: 938 year: 2007 end-page: 954 ident: bib0054 article-title: Small worlds and regional innovation publication-title: Organization Science – volume: 12 start-page: 59 year: 1999 end-page: 67 ident: bib0011 article-title: The importance of near miss reporting to further improve safety performance publication-title: Journal of Loss Prevention in the Process Industries – reference: (Accessed 1 December 2018). – volume: 105 start-page: 4972 year: 2008 end-page: 4975 ident: bib0025 article-title: From time series to complex networks : The visibility graph publication-title: Proceedings of the National Academy of Sciences of the United States of America – volume: 461 start-page: 456 year: 2016 end-page: 468 ident: bib0034 article-title: From time series to complex networks : The phase space coarse graining publication-title: Physica A – volume: 91 start-page: 192 year: 2017 end-page: 205 ident: bib0030 article-title: Analyzing risk factors in crane-related near-miss and accident reports publication-title: Safety Science – volume: 17 start-page: 7798 year: 2015 end-page: 7810 ident: bib0045 article-title: Word-Length correlations and memory in large texts : a visibility network analysis publication-title: Entropy – volume: 104 start-page: 95 year: 2016 end-page: 110 ident: bib0023 article-title: Conditional probabilities of post-release events for hazardous materials pipelines publication-title: Process Safety and Environmental Protection – volume: 57 start-page: 108 year: 2013 end-page: 117 ident: bib0020 article-title: Quantitative risk analysis of offshore drilling operations : a Bayesian approach publication-title: Safety Science – volume: 98 start-page: 145 year: 2017 end-page: 158 ident: bib0028 article-title: Characterizing time series of near-miss accidents in metro construction via complex network theory publication-title: Safety Science – volume: 391 start-page: 6543 year: 2012 end-page: 6555 ident: bib0040 article-title: Visibility graph analysis on quarterly macroeconomic series of China based on complex network theory publication-title: Physica A – volume: 392 start-page: 3374 year: 2013 end-page: 3384 ident: bib0037 article-title: Visibility graph network analysis of gold price time series publication-title: Physica A – volume: 424 start-page: 175 year: 2006 end-page: 308 ident: bib0047 article-title: Complex networks : structure and dynamics publication-title: Physics Reports – reference: High Country News, Nationwide, oil pipeline spills are a near-daily reality, (2017). – volume: 84 start-page: 37 year: 2016 end-page: 45 ident: bib0018 article-title: Learning from major accidents to improve system design publication-title: Safety Science – volume: 38 start-page: 746 year: 2018 end-page: 757 ident: bib0004 article-title: Risk-based pipeline re-assessment optimization considering corrosion defects publication-title: Sustainable Cities and Society – volume: 19 start-page: 327 year: 2017 end-page: 352 ident: bib0027 article-title: Emerging frontiers of Neuroengineering: A network science of brain connectivity publication-title: Annual Review of Biomedical Engineering – volume: 90 start-page: 357 year: 2012 end-page: 367 ident: bib0014 article-title: From a survey on accidents in the downstream oil industry to the development of a detailed near-miss reporting system publication-title: Process Safety and Environmental Protection – volume: 165 start-page: 1204 year: 2009 end-page: 1209 ident: bib0033 article-title: Time-correlations in the dynamics of hazardous material pipelines incidents publication-title: Journal of Hazardous Materials – volume: 95 start-page: 764 year: 2010 end-page: 776 ident: bib0015 article-title: Cross-classified hierarchical bayesian models for risk-based analysis of complex systems under sparse data publication-title: Reliability Engineering &System Safety – volume: 28 start-page: 3049 year: 2009 end-page: 3067 ident: bib0051 article-title: The BUGS project : evolution, critique and future directions publication-title: Statistics in Medicine – reference: S. Liu, Y. Liang, X. Wang, D. Han, Statistical analyses of incidents on onshore hazardous liquid pipelines based on PHMSA database, (2018) V002T07A019. doi: – volume: 25 start-page: 609 year: 2012 end-page: 616 ident: bib0032 article-title: Near-miss management systems : A methodological comparison publication-title: Journal of Loss Prevention in the Process Industries – volume: 462 start-page: 1 year: 2016 end-page: 11 ident: bib0038 article-title: Visibility graph network analysis of natural gas price : The case of North American market publication-title: Physica A – volume: 74 start-page: 1759 year: 2014 end-page: 1771 ident: bib0019 article-title: Probabilistic risk assessment of major accidents : application to offshore blowouts in the gulf of Mexico publication-title: Natural Hazards – volume: 106 start-page: 52 year: 2017 end-page: 59 ident: bib0013 article-title: Major accident modelling using spare data publication-title: Process Safety and Environmental Protection – volume: 126 start-page: 116 year: 2014 end-page: 125 ident: bib0021 article-title: On the application of near accident data to risk analysis of major accidents publication-title: Reliability Engineering &System Safety – volume: 96 start-page: 1448 year: 2011 end-page: 1455 ident: bib0029 article-title: In-depth analysis of the causal factors of incidents reported in the Greek petrochemical industry publication-title: Reliability Engineering &System Safety – volume: 414 start-page: 53 year: 2014 end-page: 60 ident: bib0035 article-title: From the time series to the complex networks : The parametric natural visibility graph publication-title: Physica A – volume: 156 start-page: 195 year: 2016 end-page: 202 ident: bib0003 article-title: Integrated failure probability estimation based on structural integrity analysis and failure data: natural gas pipeline case publication-title: Reliability Engineering & System Safety – volume: 85–86 start-page: 195 year: 2015 end-page: 200 ident: bib0026 article-title: Precursory signatures in the visibility graph analysis of seismicity : An application to the kachchh (Western India) seismicity publication-title: Physics and Chemistry of the Earth – volume: 91 start-page: 154 year: 2017 end-page: 167 ident: bib0012 article-title: Near-miss management systems and observability-in-depth : handling safety incidents and accident precursors in light of safety principles publication-title: Safety Science – volume: 71 start-page: 93 year: 2015 end-page: 103 ident: bib0041 article-title: Exploring the relationship between major hazard, fatal and non-fatal accidents through outcomes and causes publication-title: Safety Science – volume: 278 start-page: 140 year: 2010 end-page: 149 ident: bib0024 article-title: Predicting coastal cliff erosion using a bayesian probabilistic model publication-title: Marine Geology – volume: 65 start-page: 3 year: 2002 end-page: 7 ident: bib0046 article-title: Pseudofractal Scale-free web publication-title: Phys. Rev. E. – volume: 387 start-page: 3299 year: 2008 end-page: 3304 ident: bib0042 article-title: Analysis of the temporal properties in car accident time series publication-title: Physica A: Statistical Mechanics and its Applications – volume: 36 start-page: 97 year: 2006 end-page: 106 ident: bib0053 article-title: Sources of knowledge acquisition for Chinese software engineers publication-title: R&D Management – volume: 7 start-page: 257 year: 2014 end-page: 269 ident: bib0001 article-title: Analysis of pipeline accidents in the united states from 1968 to 2009 publication-title: International Journal of Critical Infrastructure Protection – volume: 62 start-page: 89 year: 1998 end-page: 116 ident: bib0055 article-title: Bayesian parameter estimation in probabilistic risk assessment publication-title: Reliability Engineering &System Safety – volume: 45 start-page: 1086 year: 2012 end-page: 1091 ident: bib0039 article-title: Visibility graph approach to the analysis of ocean tidal records publication-title: Chaos Solitons Fractals – volume: 96 start-page: 687 year: 2011 end-page: 695 ident: bib0050 article-title: Merging expert and empirical data for rare event frequency estimation : pool homogenisation for empirical bayes models publication-title: Reliability Engineering &System Safety – volume: 81 start-page: 46 year: 2016 end-page: 58 ident: bib0010 article-title: Prevention of “simple accidents at work” with major consequences publication-title: Safety Science – volume: 393 start-page: 440 year: 1998 end-page: 442 ident: bib0048 article-title: Collective dynamics of ‘small-world’ networks publication-title: Nature – reference: PHMSA, Data and Statistics Overview, (2019). – volume: 388 start-page: 4431 year: 2009 end-page: 4437 ident: bib0036 article-title: Visibility graph approach to exchange rate series publication-title: Physica A – volume: 97 start-page: 34 year: 2017 end-page: 42 ident: bib0006 article-title: Assessing the consequences of pipeline accidents to support land-use planning publication-title: Safety Science – volume: 389 start-page: 837 year: 2010 end-page: 842 ident: bib0043 article-title: Detecting long-range correlations in fire sequences with detrended fluctuation analysis publication-title: Physica A: Statistical Mechanics and its Applications – reference: . – volume: 24 start-page: 14 year: 2019 end-page: 22 ident: bib0002 article-title: Analyzing the critical risk factors associated with oil and gas pipeline projects in Iraq publication-title: International Journal of Critical Infrastructure Protection – volume: 50 start-page: 241 year: 1995 end-page: 251 ident: bib0017 article-title: The performance of precursor-based estimators for rare event frequencies publication-title: Reliability Engineering &System Safety – volume: 2 start-page: 38 year: 2009 end-page: 50 ident: bib0005 article-title: Causes, cost consequences, and risk implications of accidents in US hazardous liquid pipeline infrastructure publication-title: International Journal of Critical Infrastructure Protection – reference: (Accessed 22 January 2019). – volume: 102 start-page: 633 year: 2016 end-page: 647 ident: bib0031 article-title: Process accident model considering dependency among contributory factors publication-title: Process Safety and Environmental Protection – reference: NBC News, 66 dead, 76 injured in ruptured pipeline explosion outside Mexico city, (2019). – volume: 7 start-page: 1 year: 2017 end-page: 8 ident: bib0044 article-title: Routes obey hierarchy in complex networks publication-title: Scientific Reports – volume: 214 start-page: 273 year: 2012 end-page: 293 ident: bib0052 article-title: Challenges in network science : applications to infrastructures, climate, social systems and economics publication-title: European Physical Journal-Special Topics – volume: 165 start-page: 1204 issue: 1–3 year: 2009 ident: 10.1016/j.ijcip.2019.100308_bib0033 article-title: Time-correlations in the dynamics of hazardous material pipelines incidents publication-title: Journal of Hazardous Materials doi: 10.1016/j.jhazmat.2008.09.094 – volume: 71 start-page: 93 year: 2015 ident: 10.1016/j.ijcip.2019.100308_bib0041 article-title: Exploring the relationship between major hazard, fatal and non-fatal accidents through outcomes and causes publication-title: Safety Science doi: 10.1016/j.ssci.2014.02.009 – volume: 278 start-page: 140 issue: 1–4 year: 2010 ident: 10.1016/j.ijcip.2019.100308_bib0024 article-title: Predicting coastal cliff erosion using a bayesian probabilistic model publication-title: Marine Geology doi: 10.1016/j.margeo.2010.10.001 – volume: 25 start-page: 609 issue: 3 year: 2012 ident: 10.1016/j.ijcip.2019.100308_bib0032 article-title: Near-miss management systems : A methodological comparison publication-title: Journal of Loss Prevention in the Process Industries doi: 10.1016/j.jlp.2012.01.005 – volume: 24 start-page: 14 year: 2019 ident: 10.1016/j.ijcip.2019.100308_bib0002 article-title: Analyzing the critical risk factors associated with oil and gas pipeline projects in Iraq publication-title: International Journal of Critical Infrastructure Protection doi: 10.1016/j.ijcip.2018.10.010 – volume: 18 start-page: 938 year: 2007 ident: 10.1016/j.ijcip.2019.100308_bib0054 article-title: Small worlds and regional innovation publication-title: Organization Science doi: 10.1287/orsc.1070.0289 – volume: 85–86 start-page: 195 year: 2015 ident: 10.1016/j.ijcip.2019.100308_bib0026 article-title: Precursory signatures in the visibility graph analysis of seismicity : An application to the kachchh (Western India) seismicity publication-title: Physics and Chemistry of the Earth doi: 10.1016/j.pce.2015.02.008 – volume: 389 start-page: 837 issue: 4 year: 2010 ident: 10.1016/j.ijcip.2019.100308_bib0043 article-title: Detecting long-range correlations in fire sequences with detrended fluctuation analysis publication-title: Physica A: Statistical Mechanics and its Applications doi: 10.1016/j.physa.2009.10.022 – volume: 7 start-page: 1 issue: 1 year: 2017 ident: 10.1016/j.ijcip.2019.100308_bib0044 article-title: Routes obey hierarchy in complex networks publication-title: Scientific Reports doi: 10.1038/s41598-017-07412-4 – volume: 84 start-page: 37 year: 2016 ident: 10.1016/j.ijcip.2019.100308_bib0018 article-title: Learning from major accidents to improve system design publication-title: Safety Science doi: 10.1016/j.ssci.2015.11.022 – volume: 38 start-page: 746 year: 2018 ident: 10.1016/j.ijcip.2019.100308_bib0004 article-title: Risk-based pipeline re-assessment optimization considering corrosion defects publication-title: Sustainable Cities and Society doi: 10.1016/j.scs.2018.01.021 – volume: 392 start-page: 3374 issue: 16 year: 2013 ident: 10.1016/j.ijcip.2019.100308_bib0037 article-title: Visibility graph network analysis of gold price time series publication-title: Physica A doi: 10.1016/j.physa.2013.03.063 – ident: 10.1016/j.ijcip.2019.100308_bib0007 – volume: 17 start-page: 7798 issue: 12 year: 2015 ident: 10.1016/j.ijcip.2019.100308_bib0045 article-title: Word-Length correlations and memory in large texts : a visibility network analysis publication-title: Entropy doi: 10.3390/e17117798 – volume: 156 start-page: 195 year: 2016 ident: 10.1016/j.ijcip.2019.100308_bib0003 article-title: Integrated failure probability estimation based on structural integrity analysis and failure data: natural gas pipeline case publication-title: Reliability Engineering & System Safety doi: 10.1016/j.ress.2016.08.003 – volume: 74 start-page: 1759 issue: 3 year: 2014 ident: 10.1016/j.ijcip.2019.100308_bib0019 article-title: Probabilistic risk assessment of major accidents : application to offshore blowouts in the gulf of Mexico publication-title: Natural Hazards doi: 10.1007/s11069-014-1271-8 – volume: 7 start-page: 257 issue: 4 year: 2014 ident: 10.1016/j.ijcip.2019.100308_bib0001 article-title: Analysis of pipeline accidents in the united states from 1968 to 2009 publication-title: International Journal of Critical Infrastructure Protection doi: 10.1016/j.ijcip.2014.09.002 – volume: 19 start-page: 327 issue: 1 year: 2017 ident: 10.1016/j.ijcip.2019.100308_bib0027 article-title: Emerging frontiers of Neuroengineering: A network science of brain connectivity publication-title: Annual Review of Biomedical Engineering doi: 10.1146/annurev-bioeng-071516-044511 – volume: 391 start-page: 6543 issue: 24 year: 2012 ident: 10.1016/j.ijcip.2019.100308_bib0040 article-title: Visibility graph analysis on quarterly macroeconomic series of China based on complex network theory publication-title: Physica A doi: 10.1016/j.physa.2012.07.054 – volume: 393 start-page: 440 year: 1998 ident: 10.1016/j.ijcip.2019.100308_bib0048 article-title: Collective dynamics of ‘small-world’ networks publication-title: Nature doi: 10.1038/30918 – volume: 91 start-page: 154 year: 2017 ident: 10.1016/j.ijcip.2019.100308_bib0012 article-title: Near-miss management systems and observability-in-depth : handling safety incidents and accident precursors in light of safety principles publication-title: Safety Science doi: 10.1016/j.ssci.2016.08.012 – volume: 98 start-page: 145 year: 2017 ident: 10.1016/j.ijcip.2019.100308_bib0028 article-title: Characterizing time series of near-miss accidents in metro construction via complex network theory publication-title: Safety Science doi: 10.1016/j.ssci.2017.06.012 – volume: 424 start-page: 175 issue: 4–5 year: 2006 ident: 10.1016/j.ijcip.2019.100308_bib0047 article-title: Complex networks : structure and dynamics publication-title: Physics Reports doi: 10.1016/j.physrep.2005.10.009 – volume: 95 start-page: 764 issue: 7 year: 2010 ident: 10.1016/j.ijcip.2019.100308_bib0015 article-title: Cross-classified hierarchical bayesian models for risk-based analysis of complex systems under sparse data publication-title: Reliability Engineering &System Safety doi: 10.1016/j.ress.2010.02.014 – volume: 104 start-page: 95 year: 2016 ident: 10.1016/j.ijcip.2019.100308_bib0023 article-title: Conditional probabilities of post-release events for hazardous materials pipelines publication-title: Process Safety and Environmental Protection doi: 10.1016/j.psep.2016.08.011 – volume: 20 start-page: 113 issue: 2 year: 2007 ident: 10.1016/j.ijcip.2019.100308_bib0016 article-title: Operational risk assessment of chemical industries by exploiting accident databases publication-title: Journal of Loss Prevention in the Process Industries doi: 10.1016/j.jlp.2006.10.003 – volume: 28 start-page: 3049 issue: 25 year: 2009 ident: 10.1016/j.ijcip.2019.100308_bib0051 article-title: The BUGS project : evolution, critique and future directions publication-title: Statistics in Medicine doi: 10.1002/sim.3680 – volume: 102 start-page: 633 year: 2016 ident: 10.1016/j.ijcip.2019.100308_bib0031 article-title: Process accident model considering dependency among contributory factors publication-title: Process Safety and Environmental Protection doi: 10.1016/j.psep.2016.05.004 – volume: 461 start-page: 456 year: 2016 ident: 10.1016/j.ijcip.2019.100308_bib0034 article-title: From time series to complex networks : The phase space coarse graining publication-title: Physica A doi: 10.1016/j.physa.2016.06.028 – volume: 97 start-page: 34 year: 2017 ident: 10.1016/j.ijcip.2019.100308_bib0006 article-title: Assessing the consequences of pipeline accidents to support land-use planning publication-title: Safety Science doi: 10.1016/j.ssci.2016.01.021 – volume: 126 start-page: 116 year: 2014 ident: 10.1016/j.ijcip.2019.100308_bib0021 article-title: On the application of near accident data to risk analysis of major accidents publication-title: Reliability Engineering &System Safety doi: 10.1016/j.ress.2014.01.015 – ident: 10.1016/j.ijcip.2019.100308_bib0008 – volume: 50 start-page: 766 year: 2013 ident: 10.1016/j.ijcip.2019.100308_bib0022 article-title: Failure analysis and mechanical performance of an oil pipeline publication-title: Materials and Design doi: 10.1016/j.matdes.2013.03.055 – volume: 387 start-page: 3299 issue: 13 year: 2008 ident: 10.1016/j.ijcip.2019.100308_bib0042 article-title: Analysis of the temporal properties in car accident time series publication-title: Physica A: Statistical Mechanics and its Applications doi: 10.1016/j.physa.2008.01.055 – volume: 62 start-page: 89 issue: 1–2 year: 1998 ident: 10.1016/j.ijcip.2019.100308_bib0055 article-title: Bayesian parameter estimation in probabilistic risk assessment publication-title: Reliability Engineering &System Safety – volume: 96 start-page: 1691 issue: 12 year: 2011 ident: 10.1016/j.ijcip.2019.100308_bib0049 article-title: Adaptive directional stratification for controlled estimation of the probability of a rare event publication-title: Reliability Engineering & System Safety doi: 10.1016/j.ress.2011.06.016 – volume: 106 start-page: 52 year: 2017 ident: 10.1016/j.ijcip.2019.100308_bib0013 article-title: Major accident modelling using spare data publication-title: Process Safety and Environmental Protection doi: 10.1016/j.psep.2016.12.004 – volume: 81 start-page: 46 year: 2016 ident: 10.1016/j.ijcip.2019.100308_bib0010 article-title: Prevention of “simple accidents at work” with major consequences publication-title: Safety Science doi: 10.1016/j.ssci.2015.01.017 – volume: 57 start-page: 108 year: 2013 ident: 10.1016/j.ijcip.2019.100308_bib0020 article-title: Quantitative risk analysis of offshore drilling operations : a Bayesian approach publication-title: Safety Science doi: 10.1016/j.ssci.2013.01.022 – volume: 12 start-page: 59 issue: 1 year: 1999 ident: 10.1016/j.ijcip.2019.100308_bib0011 article-title: The importance of near miss reporting to further improve safety performance publication-title: Journal of Loss Prevention in the Process Industries doi: 10.1016/S0950-4230(98)00038-2 – volume: 96 start-page: 687 issue: 6 year: 2011 ident: 10.1016/j.ijcip.2019.100308_bib0050 article-title: Merging expert and empirical data for rare event frequency estimation : pool homogenisation for empirical bayes models publication-title: Reliability Engineering &System Safety doi: 10.1016/j.ress.2010.12.007 – volume: 96 start-page: 1448 issue: 11 year: 2011 ident: 10.1016/j.ijcip.2019.100308_bib0029 article-title: In-depth analysis of the causal factors of incidents reported in the Greek petrochemical industry publication-title: Reliability Engineering &System Safety doi: 10.1016/j.ress.2011.07.010 – volume: 91 start-page: 192 year: 2017 ident: 10.1016/j.ijcip.2019.100308_bib0030 article-title: Analyzing risk factors in crane-related near-miss and accident reports publication-title: Safety Science doi: 10.1016/j.ssci.2016.08.022 – volume: 2 start-page: 38 issue: 1–2 year: 2009 ident: 10.1016/j.ijcip.2019.100308_bib0005 article-title: Causes, cost consequences, and risk implications of accidents in US hazardous liquid pipeline infrastructure publication-title: International Journal of Critical Infrastructure Protection doi: 10.1016/j.ijcip.2008.09.001 – ident: 10.1016/j.ijcip.2019.100308_bib0056 doi: 10.1115/IPC2018-78528 – volume: 388 start-page: 4431 issue: 20 year: 2009 ident: 10.1016/j.ijcip.2019.100308_bib0036 article-title: Visibility graph approach to exchange rate series publication-title: Physica A doi: 10.1016/j.physa.2009.07.016 – volume: 414 start-page: 53 year: 2014 ident: 10.1016/j.ijcip.2019.100308_bib0035 article-title: From the time series to the complex networks : The parametric natural visibility graph publication-title: Physica A doi: 10.1016/j.physa.2014.07.002 – volume: 36 start-page: 97 issue: 1 year: 2006 ident: 10.1016/j.ijcip.2019.100308_bib0053 article-title: Sources of knowledge acquisition for Chinese software engineers publication-title: R&D Management doi: 10.1111/j.1467-9310.2005.00418.x – ident: 10.1016/j.ijcip.2019.100308_bib0009 – volume: 50 start-page: 241 issue: 3 year: 1995 ident: 10.1016/j.ijcip.2019.100308_bib0017 article-title: The performance of precursor-based estimators for rare event frequencies publication-title: Reliability Engineering &System Safety doi: 10.1016/0951-8320(95)00097-6 – volume: 214 start-page: 273 issue: 1 year: 2012 ident: 10.1016/j.ijcip.2019.100308_bib0052 article-title: Challenges in network science : applications to infrastructures, climate, social systems and economics publication-title: European Physical Journal-Special Topics doi: 10.1140/epjst/e2012-01695-x – volume: 105 start-page: 4972 issue: 13 year: 2008 ident: 10.1016/j.ijcip.2019.100308_bib0025 article-title: From time series to complex networks : The visibility graph publication-title: Proceedings of the National Academy of Sciences of the United States of America doi: 10.1073/pnas.0709247105 – volume: 90 start-page: 357 issue: 5 year: 2012 ident: 10.1016/j.ijcip.2019.100308_bib0014 article-title: From a survey on accidents in the downstream oil industry to the development of a detailed near-miss reporting system publication-title: Process Safety and Environmental Protection doi: 10.1016/j.psep.2012.06.005 – volume: 45 start-page: 1086 issue: 9–10 year: 2012 ident: 10.1016/j.ijcip.2019.100308_bib0039 article-title: Visibility graph approach to the analysis of ocean tidal records publication-title: Chaos Solitons Fractals doi: 10.1016/j.chaos.2012.06.003 – volume: 65 start-page: 3 issue: 6 year: 2002 ident: 10.1016/j.ijcip.2019.100308_bib0046 article-title: Pseudofractal Scale-free web publication-title: Phys. Rev. E. doi: 10.1103/PhysRevE.65.066122 – volume: 462 start-page: 1 year: 2016 ident: 10.1016/j.ijcip.2019.100308_bib0038 article-title: Visibility graph network analysis of natural gas price : The case of North American market publication-title: Physica A doi: 10.1016/j.physa.2016.06.051 |
| SSID | ssj0068363 |
| Score | 2.167135 |
| Snippet | The pipelines that transport hazardous liquids (e.g., petroleum and petroleum products) across cities or countries are critical to the energy-supply... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 100308 |
| SubjectTerms | Complex networks Hazardous liquid pipelines Hierarchical Bayesian model Visibility graph algorithm |
| Title | Exploring the temporal structure of time series data for hazardous liquid pipeline incidents based on complex network theory |
| URI | https://dx.doi.org/10.1016/j.ijcip.2019.100308 |
| Volume | 26 |
| WOSCitedRecordID | wos000485796000010&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 2212-2087 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0068363 issn: 1874-5482 databaseCode: AIEXJ dateStart: 20081201 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3LbtNAFB2FlAUsEBQQLQXdBWITXNljx49lhYqARYVEEdlZ8zJ1FJyQJlVU8Qv8M3detgNVRBdsrGg0nkxyjmeuZ849Q8ircShlTkUaKF4xnZKjgiLhPBhnBeURTkkRt4dNZGdn-WRSfBoMfvlcmKtZ1jT5ZlMs_ivUWIZg69TZW8DdNooF-BlBxyvCjtd_Ar5T1emY0llPmaSQtd0u0KqA-rsa6d6oy5HWiBqx4QW7RrpoSeys_rGu5WhRL5SJQvV6vDSpcHrSk3qDwUjR1WbUWBm5TYjc2iLeXmvsOVQIf7oC_tol6_rlLCN6woDPF0pnGdu1g3U3QDXfVmtbyNzE69Ytok6Y5YfaPEsCfF_aGotpfzCNjJnOjeO8XXKYHtdTUWvX0ag47mpvu2r_Mdu1GkQvb5uWppFSN1LaRu6QPZqNi3xI9k4-nE4--qk9zWNzNF_bdW9jZQSDf_Xl5lCnF76cPyQP3HsHnFi-PCID1eyT-z03yn1yZFO14auaVWyp4DX4AgT4MfnZEgsQbPDEghZAmFegiQWWWKCJBUgsaIkFlljgiQUtscAQC-YNOGKBIxZYYj0hX96dnr99H7izOwIRp-kqyIVi2lwyFjIqmOQhVWGuWBVzfPrHQtKYRWGecazAYpWLKE0TQVUhE8owCA7jp2TYzBv1jADPEgxb04rKpEp4FLKU84zKissizGQoDgj1f3MpnLG9Pl9lVu6A-IC8aW9aWF-X3dVTj1_pQlMbcpbIyF03Ht7ue56Te92zckSGiKB6Qe6Kq1V9uXzp6Pgbzme5bw |
| linkProvider | Elsevier |
| 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=Exploring+the+temporal+structure+of+time+series+data+for+hazardous+liquid+pipeline+incidents+based+on+complex+network+theory&rft.jtitle=International+journal+of+critical+infrastructure+protection&rft.au=Shengli%2C+Liu&rft.au=Yongtu%2C+Liang&rft.date=2019-09-01&rft.issn=1874-5482&rft.volume=26&rft.spage=100308&rft_id=info:doi/10.1016%2Fj.ijcip.2019.100308&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_ijcip_2019_100308 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1874-5482&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1874-5482&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1874-5482&client=summon |