Optimisation of waste clean-up after large-scale disasters
•Included demolition operation in the two-stage disaster waste management system.•Developed MIP models which capture the key features of disaster waste clean-up.•Proposed three approaches to minimise total clean-up cost and time.•Provided thorough analysis of a case study for 2009 Black Saturday bus...
Saved in:
| Published in: | Waste management (Elmsford) Vol. 119; pp. 1 - 10 |
|---|---|
| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
Elsevier Ltd
01.01.2021
|
| Subjects: | |
| ISSN: | 0956-053X, 1879-2456, 1879-2456 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | •Included demolition operation in the two-stage disaster waste management system.•Developed MIP models which capture the key features of disaster waste clean-up.•Proposed three approaches to minimise total clean-up cost and time.•Provided thorough analysis of a case study for 2009 Black Saturday bushfires.•Optimised results can help decision-maker developing the waste clean-up plan.
Disaster waste clean-up after large disasters is one of the core activities at the recovery stage of disaster management, which aims to restoring the normal functioning of the disaster affected area. In this paper we considered a waste clean-up system consists of (i) demolition operation, (ii) collection of waste from customer nodes to temporary disaster waste management sites (TDWMSs), (iii) processing at TDWMSs, and (iv) transportation of the waste to final disposal sites in the recovery of disasters. A multi-objective mixed integer programming model is developed to minimise the total clean-up cost and time. Three different approaches are developed to solve the problem, which are tested with artificial instances and a real case study. Results of artificial instances indicate that the models developed can be used to obtain close to optimal solutions within an acceptable computing time. Results of the case study can facilitate the decision-makers to develop the waste clean-up with minimised total cost and clean-up time by selecting the right location of TDWMSs and setting up the proper waste clean-up schedule. |
|---|---|
| AbstractList | Disaster waste clean-up after large disasters is one of the core activities at the recovery stage of disaster management, which aims to restoring the normal functioning of the disaster affected area. In this paper we considered a waste clean-up system consists of (i) demolition operation, (ii) collection of waste from customer nodes to temporary disaster waste management sites (TDWMSs), (iii) processing at TDWMSs, and (iv) transportation of the waste to final disposal sites in the recovery of disasters. A multi-objective mixed integer programming model is developed to minimise the total clean-up cost and time. Three different approaches are developed to solve the problem, which are tested with artificial instances and a real case study. Results of artificial instances indicate that the models developed can be used to obtain close to optimal solutions within an acceptable computing time. Results of the case study can facilitate the decision-makers to develop the waste clean-up with minimised total cost and clean-up time by selecting the right location of TDWMSs and setting up the proper waste clean-up schedule.Disaster waste clean-up after large disasters is one of the core activities at the recovery stage of disaster management, which aims to restoring the normal functioning of the disaster affected area. In this paper we considered a waste clean-up system consists of (i) demolition operation, (ii) collection of waste from customer nodes to temporary disaster waste management sites (TDWMSs), (iii) processing at TDWMSs, and (iv) transportation of the waste to final disposal sites in the recovery of disasters. A multi-objective mixed integer programming model is developed to minimise the total clean-up cost and time. Three different approaches are developed to solve the problem, which are tested with artificial instances and a real case study. Results of artificial instances indicate that the models developed can be used to obtain close to optimal solutions within an acceptable computing time. Results of the case study can facilitate the decision-makers to develop the waste clean-up with minimised total cost and clean-up time by selecting the right location of TDWMSs and setting up the proper waste clean-up schedule. Disaster waste clean-up after large disasters is one of the core activities at the recovery stage of disaster management, which aims to restoring the normal functioning of the disaster affected area. In this paper we considered a waste clean-up system consists of (i) demolition operation, (ii) collection of waste from customer nodes to temporary disaster waste management sites (TDWMSs), (iii) processing at TDWMSs, and (iv) transportation of the waste to final disposal sites in the recovery of disasters. A multi-objective mixed integer programming model is developed to minimise the total clean-up cost and time. Three different approaches are developed to solve the problem, which are tested with artificial instances and a real case study. Results of artificial instances indicate that the models developed can be used to obtain close to optimal solutions within an acceptable computing time. Results of the case study can facilitate the decision-makers to develop the waste clean-up with minimised total cost and clean-up time by selecting the right location of TDWMSs and setting up the proper waste clean-up schedule. •Included demolition operation in the two-stage disaster waste management system.•Developed MIP models which capture the key features of disaster waste clean-up.•Proposed three approaches to minimise total clean-up cost and time.•Provided thorough analysis of a case study for 2009 Black Saturday bushfires.•Optimised results can help decision-maker developing the waste clean-up plan. Disaster waste clean-up after large disasters is one of the core activities at the recovery stage of disaster management, which aims to restoring the normal functioning of the disaster affected area. In this paper we considered a waste clean-up system consists of (i) demolition operation, (ii) collection of waste from customer nodes to temporary disaster waste management sites (TDWMSs), (iii) processing at TDWMSs, and (iv) transportation of the waste to final disposal sites in the recovery of disasters. A multi-objective mixed integer programming model is developed to minimise the total clean-up cost and time. Three different approaches are developed to solve the problem, which are tested with artificial instances and a real case study. Results of artificial instances indicate that the models developed can be used to obtain close to optimal solutions within an acceptable computing time. Results of the case study can facilitate the decision-makers to develop the waste clean-up with minimised total cost and clean-up time by selecting the right location of TDWMSs and setting up the proper waste clean-up schedule. |
| Author | Costa, Alysson M. Cheng, Cheng Thompson, Russell George Zhu, Rui |
| Author_xml | – sequence: 1 givenname: Cheng orcidid: 0000-0002-4567-4098 surname: Cheng fullname: Cheng, Cheng organization: The Department of Infrastructure Engineering, The University of Melbourne, VIC 3010, Australia – sequence: 2 givenname: Rui surname: Zhu fullname: Zhu, Rui email: rui.zhu@smart.mit.edu organization: Future Urban Mobility IRG, Singapore-MIT Alliance for Research and Technology, 1 CREATE Way, #09-02 CREATE Tower, Singapore 138602, Singapore – sequence: 3 givenname: Alysson M. orcidid: 0000-0002-3135-793X surname: Costa fullname: Costa, Alysson M. organization: School of Mathematics and Statistics, The University of Melbourne, VIC 3010, Australia – sequence: 4 givenname: Russell George surname: Thompson fullname: Thompson, Russell George organization: The Department of Infrastructure Engineering, The University of Melbourne, VIC 3010, Australia |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33032153$$D View this record in MEDLINE/PubMed |
| BookMark | eNqFkTtLBDEUhYMouj7-gciUNjPevNaJhSCLLxBsFOxCJrmRLLMza5JV_PdGVxsLrW7znY_LObtkcxgHJOSQQkOBTk_mzZtJCzM0DBg0oBpgfINMaHuqaibkdJNMQMlpDZI_7ZDdlOYAVLQUtskO58AZlXxCzu6XOSxCMjmMQzX6qkgzVrZHM9SrZWV8xlj1Jj5jnazpsXIFLkhM-2TLmz7hwffdI49Xlw-zm_ru_vp2dnFXW04h145LyqVnIE-VdOCx9W2HokVnsGtdJwx6xrxUHgQo2jnnhJPSdBJs50TH98jx2ruM48sKU9blX4t9bwYcV0kzyQSnlAr1PyqEUtPSSFvQo2901S3Q6WUMCxPf9U81BThbAzaOKUX02ob8VVOOJvSagv7cQc_1egf9uYMGpcsOJSx-hX_8_8TO1zEsfb4GjDrZgINFFyLarN0Y_hZ8AFEEo7M |
| CitedBy_id | crossref_primary_10_1016_j_resconrec_2022_106174 crossref_primary_10_1016_j_ijdrr_2023_104137 crossref_primary_10_1016_j_jag_2022_102680 crossref_primary_10_1016_j_jenvman_2024_123514 crossref_primary_10_1016_j_procs_2025_03_278 crossref_primary_10_1080_23249935_2021_1916644 crossref_primary_10_1016_j_tre_2022_102867 crossref_primary_10_3390_su132111652 crossref_primary_10_1016_j_engappai_2024_107932 crossref_primary_10_1016_j_scs_2023_105080 crossref_primary_10_1016_j_cie_2025_111474 crossref_primary_10_1016_j_ijdrr_2022_102967 crossref_primary_10_1016_j_ijdrr_2022_102832 crossref_primary_10_1016_j_isprsjprs_2023_05_013 crossref_primary_10_3390_su14052866 crossref_primary_10_1080_23302674_2025_2500363 crossref_primary_10_1016_j_jclepro_2023_135985 crossref_primary_10_1007_s10479_022_04820_2 |
| Cites_doi | 10.1016/j.wasman.2011.01.027 10.1016/j.trb.2013.05.010 10.5703/1288284315362 10.1111/jfr3.12566 10.1016/j.resconrec.2015.10.021 10.1016/j.eswa.2015.07.039 10.1016/j.jhtm.2020.03.006 10.1111/disa.12040 10.1016/j.resconrec.2012.01.012 10.1109/RIISS.2014.7009173 10.1016/0006-291X(81)91704-6 10.1088/2515-7620/ab9e1a 10.1007/s10163-013-0147-4 10.1016/j.seps.2011.10.001 10.1016/j.jclepro.2019.06.229 10.1016/j.resconrec.2019.02.033 10.1016/j.ijdrr.2016.10.011 10.3846/13923730.2012.699913 10.1016/j.wasman.2016.12.020 |
| ContentType | Journal Article |
| Copyright | 2020 Elsevier Ltd Copyright © 2020 Elsevier Ltd. All rights reserved. |
| Copyright_xml | – notice: 2020 Elsevier Ltd – notice: Copyright © 2020 Elsevier Ltd. All rights reserved. |
| DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 7X8 7S9 L.6 |
| DOI | 10.1016/j.wasman.2020.09.023 |
| DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic AGRICOLA AGRICOLA - Academic |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic AGRICOLA AGRICOLA - Academic |
| DatabaseTitleList | MEDLINE - Academic MEDLINE AGRICOLA |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Chemistry |
| EISSN | 1879-2456 |
| EndPage | 10 |
| ExternalDocumentID | 33032153 10_1016_j_wasman_2020_09_023 S0956053X20305341 |
| Genre | Journal Article |
| GroupedDBID | --- --K --M -~X .DC .~1 0R~ 123 1B1 1RT 1~. 4.4 457 4G. 5VS 71M 8P~ 9JM 9JN AABNK AACTN AAEDT AAEDW AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAXUO ABFYP ABJNI ABLST ABMAC ABQEM ABQYD ABYKQ ACDAQ ACGFS ACLVX ACRLP ACSBN ADBBV ADEZE AEBSH AEKER AENEX AFKWA AFTJW AFXIZ AGHFR AGUBO AGYEJ AHEUO AHHHB AIEXJ AIKHN AITUG AJOXV AKIFW ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ ATOGT AXJTR BKOJK BLECG BLXMC CS3 EBS EFJIC EFLBG EO8 EO9 EP2 EP3 F5P FDB FIRID FNPLU FYGXN G-Q GBLVA IHE IMUCA J1W KCYFY KOM LY9 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 ROL SDF SDG SES SPC SPCBC SSE SSJ SSZ T5K Y6R ~02 ~G- 1~5 29R 53G 7-5 9DU AAHBH AAQXK AATTM AAXKI AAYWO AAYXX ABEFU ABFNM ABWVN ABXDB ACLOT ACRPL ACVFH ADCNI ADMUD ADNMO AEGFY AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP ASPBG AVWKF AZFZN CITATION EFKBS EJD FEDTE FGOYB G-2 HMC HVGLF HZ~ R2- RPZ SEN SEW TAE WUQ ~HD CGR CUY CVF ECM EIF NPM 7X8 7S9 L.6 |
| ID | FETCH-LOGICAL-c310t-d35135f205795d0fe8f8be48edaeb8db4aef22f59f04091bddd4d55ab50cbd4b3 |
| ISSN | 0956-053X 1879-2456 |
| IngestDate | Sun Nov 09 11:49:23 EST 2025 Thu Oct 02 03:34:48 EDT 2025 Wed Feb 19 02:30:07 EST 2025 Sat Nov 29 07:06:16 EST 2025 Tue Nov 18 20:50:30 EST 2025 Fri Feb 23 02:47:19 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Location selection Mixed integer programming Disaster waste clean-up Temporary disaster waste management site Buildings demolition arrangement |
| Language | English |
| License | Copyright © 2020 Elsevier Ltd. All rights reserved. |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c310t-d35135f205795d0fe8f8be48edaeb8db4aef22f59f04091bddd4d55ab50cbd4b3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ORCID | 0000-0002-3135-793X 0000-0002-4567-4098 |
| PMID | 33032153 |
| PQID | 2449960538 |
| PQPubID | 23479 |
| PageCount | 10 |
| ParticipantIDs | proquest_miscellaneous_2524311149 proquest_miscellaneous_2449960538 pubmed_primary_33032153 crossref_citationtrail_10_1016_j_wasman_2020_09_023 crossref_primary_10_1016_j_wasman_2020_09_023 elsevier_sciencedirect_doi_10_1016_j_wasman_2020_09_023 |
| PublicationCentury | 2000 |
| PublicationDate | 2021-01-01 2021-01-00 2021-Jan-01 20210101 |
| PublicationDateYYYYMMDD | 2021-01-01 |
| PublicationDate_xml | – month: 01 year: 2021 text: 2021-01-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | United States |
| PublicationPlace_xml | – name: United States |
| PublicationTitle | Waste management (Elmsford) |
| PublicationTitleAlternate | Waste Manag |
| PublicationYear | 2021 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | Cheng, Thompson (b0045) 2016; 20 Kim, J., Deshmukh, A., Hastak, M., 2014. Selecting a temporary debris management site for effective debris removal. Grzeda, Mazzuchi, Sarkani (b0065) 2014; 38 FEMA, 2007. Public assistance: debris management guide. Fed. Emerg. Manag. Agency [2007]. Kaufmann, Henry-Labordère (b0085) 1977 Brown, Milke (b0025) 2016; 106 Alziari, Stepien, Durand (b0005) 1981; 99 Rawson, M., 2015. Disaster Waste Management Scoping Study. Amato, Gabrielli, Spinozzi, Magi Galluzzi, Balducci, Beolchini (b0015) 2019; 146 Onan, Ülengin, Sennaroʇlu (b0100) 2015; 42 Yang, Y., Perera, L., Thompson, R.G., Liu, Z., 2016. Determining optimal toll levels for city logistics. In: ARRB Conference, 27th, 2016, Melbourne, Victoria, Australia Brown, Milke, Seville (b0030) 2011; 31 Oh, Kang (b0095) 2013; 15 Clausen (b0050) 1999 Zhang, Cao, Li, Liu, Huisingh (b0150) 2019; 235 Amato, Gabrielli, Spinozzi, Magi Galluzzi, Balducci, Beolchini (b0010) 2020; 13 Karunasena, Amaratunga, Haigh (b0080) 2012; 18 Takeda, T., Mori, Y., Kubota, N., Arai, Y., 2015. A route planning for disaster waste disposal based on robot technology. In: IEEE SSCI 2014 2014 IEEE Symp. Ser. Comput. Intell. - RiiSS 2014 2014 IEEE Symp. Robot. Intell. Informationally Struct. Space, Proc. Brown, C., Milke, M., Seville, E., 2010. Disaster Waste Management Case Study: 2009 Victorian Bushfires, Australia. Fetter, Rakes (b0060) 2012; 46 Hu, Sheu, Wei, Hu (b0075) 2019; 15 Schweinsberg, Darcy, Beirman (b0120) 2020; 43 . Pochet, Wolsey (b0105) 2006 Rafee, Karbassi, Nouri, Safari, Mehrdadi (b0110) 2008; 2 Hu, Sheu (b0070) 2013; 55 Ulpiani, Ranzi, Santamouris (b0135) 2020; 2 Xiao, Xie, Zhang (b0140) 2012; 61 Australia, R., 2010. Summary of major bush fires in Australia since 1851. Tabata, Wakabayashi, Tsai, Saeki (b0125) 2017; 61 Brown, Milke, Seville (b0035) 2011; 26 Amato (10.1016/j.wasman.2020.09.023_b0010) 2020; 13 Hu (10.1016/j.wasman.2020.09.023_b0070) 2013; 55 Karunasena (10.1016/j.wasman.2020.09.023_b0080) 2012; 18 10.1016/j.wasman.2020.09.023_b0090 Xiao (10.1016/j.wasman.2020.09.023_b0140) 2012; 61 Brown (10.1016/j.wasman.2020.09.023_b0025) 2016; 106 Fetter (10.1016/j.wasman.2020.09.023_b0060) 2012; 46 Tabata (10.1016/j.wasman.2020.09.023_b0125) 2017; 61 Hu (10.1016/j.wasman.2020.09.023_b0075) 2019; 15 Rafee (10.1016/j.wasman.2020.09.023_b0110) 2008; 2 Ulpiani (10.1016/j.wasman.2020.09.023_b0135) 2020; 2 10.1016/j.wasman.2020.09.023_b0145 10.1016/j.wasman.2020.09.023_b0040 Oh (10.1016/j.wasman.2020.09.023_b0095) 2013; 15 10.1016/j.wasman.2020.09.023_b0020 Grzeda (10.1016/j.wasman.2020.09.023_b0065) 2014; 38 Alziari (10.1016/j.wasman.2020.09.023_b0005) 1981; 99 Onan (10.1016/j.wasman.2020.09.023_b0100) 2015; 42 Pochet (10.1016/j.wasman.2020.09.023_b0105) 2006 Schweinsberg (10.1016/j.wasman.2020.09.023_b0120) 2020; 43 Brown (10.1016/j.wasman.2020.09.023_b0030) 2011; 31 Brown (10.1016/j.wasman.2020.09.023_b0035) 2011; 26 Clausen (10.1016/j.wasman.2020.09.023_b0050) 1999 10.1016/j.wasman.2020.09.023_b0115 Kaufmann (10.1016/j.wasman.2020.09.023_b0085) 1977 10.1016/j.wasman.2020.09.023_b0055 Amato (10.1016/j.wasman.2020.09.023_b0015) 2019; 146 10.1016/j.wasman.2020.09.023_b0130 Zhang (10.1016/j.wasman.2020.09.023_b0150) 2019; 235 Cheng (10.1016/j.wasman.2020.09.023_b0045) 2016; 20 |
| References_xml | – volume: 61 start-page: 386 year: 2017 end-page: 396 ident: b0125 article-title: Environmental and economic evaluation of pre-disaster plans for disaster waste management: Case study of Minami-Ise, Japan publication-title: Waste Manag. – volume: 31 start-page: 1085 year: 2011 end-page: 1098 ident: b0030 article-title: Disaster waste management: A review article publication-title: Waste Manag. – volume: 2 start-page: 65005 year: 2020 ident: b0135 article-title: Experimental evidence of the multiple microclimatic impacts of bushfires in affected urban areas: the case of Sydney during the 2019/2020 Australian season publication-title: Environ. Res. Commun – volume: 55 start-page: 118 year: 2013 end-page: 141 ident: b0070 article-title: Post-disaster debris reverse logistics management under psychological cost minimization publication-title: Transp. Res. Part B-Methodol. – volume: 46 start-page: 14 year: 2012 end-page: 22 ident: b0060 article-title: Incorporating recycling into post-disaster debris disposal publication-title: Socioecon. Plann. Sci. – volume: 99 start-page: 1 year: 1981 end-page: 8 ident: b0005 article-title: In vitro incorporation of (35S)-methionine in mitochondrial proteins of drosophila melanogaster publication-title: Biochem. Biophys. Res. Commun. – volume: 235 start-page: 822 year: 2019 end-page: 840 ident: b0150 article-title: A systematic review of recent developments in disaster waste management publication-title: J. Clean. Prod. – year: 2006 ident: b0105 article-title: Production Planning by Mixed Integer Programming – volume: 20 year: 2016 ident: b0045 article-title: Application of boolean logic and GIS for determining suitable locations for Temporary Disaster Waste Management Sites publication-title: Int. J. Disaster Risk Reduct. – volume: 146 start-page: 590 year: 2019 end-page: 597 ident: b0015 article-title: Strategies of disaster waste management after an earthquake: A sustainability assessment publication-title: Resour. Conserv. Recycl. – reference: Brown, C., Milke, M., Seville, E., 2010. Disaster Waste Management Case Study: 2009 Victorian Bushfires, Australia. – start-page: 1 year: 1999 end-page: 30 ident: b0050 article-title: Branch and Bound Algorithms-principles and Examples – volume: 61 start-page: 109 year: 2012 end-page: 117 ident: b0140 article-title: Investigation on building waste and reclaim in Wenchuan earthquake disaster area publication-title: Resour. Conserv. Recycl. – reference: FEMA, 2007. Public assistance: debris management guide. Fed. Emerg. Manag. Agency [2007]. – volume: 13 start-page: 1 year: 2020 end-page: 9 ident: b0010 article-title: Disaster waste management after flood events publication-title: J. Flood Risk Manag. – reference: Australia, R., 2010. Summary of major bush fires in Australia since 1851. – volume: 38 start-page: 398 year: 2014 end-page: 419 ident: b0065 article-title: Temporary disaster debris management site identification using binomial cluster analysis and GIS publication-title: Disasters – reference: Rawson, M., 2015. Disaster Waste Management Scoping Study. – reference: Yang, Y., Perera, L., Thompson, R.G., Liu, Z., 2016. Determining optimal toll levels for city logistics. In: ARRB Conference, 27th, 2016, Melbourne, Victoria, Australia – volume: 42 start-page: 8850 year: 2015 end-page: 8857 ident: b0100 article-title: An evolutionary multi-objective optimization approach to disaster waste management: A case study of Istanbul publication-title: Turkey. Expert Syst. Appl. – volume: 18 start-page: 457 year: 2012 end-page: 468 ident: b0080 article-title: Post-disaster construction & demolition debris management: a Sri Lanka case study publication-title: J. Civ. Eng. Manag. – volume: 26 start-page: 17 year: 2011 ident: b0035 article-title: Disaster waste management following the 2009 Victorian bushfires publication-title: Aust. J. Emerg. Manag. – volume: 15 start-page: 1145 year: 2019 end-page: 1174 ident: b0075 article-title: Post-storm debris removal considering traffic and psychological impacts publication-title: Transp. A Transp. Sci. – year: 1977 ident: b0085 article-title: Integer and Mixed Programming: Theory and Applications – reference: . – volume: 2 start-page: 205 year: 2008 end-page: 214 ident: b0110 article-title: Strategic Management of Municipal Debris aftermath of an earthquake publication-title: Int. J. Environ. Res. – volume: 43 start-page: 294 year: 2020 end-page: 297 ident: b0120 article-title: ‘Climate crisis’ and ‘bushfire disaster’: Implications for tourism from the involvement of social media in the 2019–2020 Australian bushfires publication-title: J. Hosp. Tour. Manag. – volume: 106 start-page: 21 year: 2016 end-page: 32 ident: b0025 article-title: Recycling disaster waste: Feasibility, method and effectiveness publication-title: Resour. Conserv. Recycl. – volume: 15 start-page: 282 year: 2013 end-page: 289 ident: b0095 article-title: The status of flood wastes treatment and future tasks in South Korea publication-title: J. Mater. Cycles Waste Manag. – reference: Takeda, T., Mori, Y., Kubota, N., Arai, Y., 2015. A route planning for disaster waste disposal based on robot technology. In: IEEE SSCI 2014 2014 IEEE Symp. Ser. Comput. Intell. - RiiSS 2014 2014 IEEE Symp. Robot. Intell. Informationally Struct. Space, Proc. – reference: Kim, J., Deshmukh, A., Hastak, M., 2014. Selecting a temporary debris management site for effective debris removal. – volume: 31 start-page: 1085 year: 2011 ident: 10.1016/j.wasman.2020.09.023_b0030 article-title: Disaster waste management: A review article publication-title: Waste Manag. doi: 10.1016/j.wasman.2011.01.027 – ident: 10.1016/j.wasman.2020.09.023_b0115 – start-page: 1 year: 1999 ident: 10.1016/j.wasman.2020.09.023_b0050 – volume: 55 start-page: 118 year: 2013 ident: 10.1016/j.wasman.2020.09.023_b0070 article-title: Post-disaster debris reverse logistics management under psychological cost minimization publication-title: Transp. Res. Part B-Methodol. doi: 10.1016/j.trb.2013.05.010 – volume: 15 start-page: 1145 year: 2019 ident: 10.1016/j.wasman.2020.09.023_b0075 article-title: Post-storm debris removal considering traffic and psychological impacts publication-title: Transp. A Transp. Sci. – ident: 10.1016/j.wasman.2020.09.023_b0090 doi: 10.5703/1288284315362 – volume: 13 start-page: 1 year: 2020 ident: 10.1016/j.wasman.2020.09.023_b0010 article-title: Disaster waste management after flood events publication-title: J. Flood Risk Manag. doi: 10.1111/jfr3.12566 – volume: 106 start-page: 21 year: 2016 ident: 10.1016/j.wasman.2020.09.023_b0025 article-title: Recycling disaster waste: Feasibility, method and effectiveness publication-title: Resour. Conserv. Recycl. doi: 10.1016/j.resconrec.2015.10.021 – year: 2006 ident: 10.1016/j.wasman.2020.09.023_b0105 – volume: 2 start-page: 205 year: 2008 ident: 10.1016/j.wasman.2020.09.023_b0110 article-title: Strategic Management of Municipal Debris aftermath of an earthquake publication-title: Int. J. Environ. Res. – volume: 42 start-page: 8850 year: 2015 ident: 10.1016/j.wasman.2020.09.023_b0100 article-title: An evolutionary multi-objective optimization approach to disaster waste management: A case study of Istanbul publication-title: Turkey. Expert Syst. Appl. doi: 10.1016/j.eswa.2015.07.039 – volume: 26 start-page: 17 year: 2011 ident: 10.1016/j.wasman.2020.09.023_b0035 article-title: Disaster waste management following the 2009 Victorian bushfires publication-title: Aust. J. Emerg. Manag. – volume: 43 start-page: 294 year: 2020 ident: 10.1016/j.wasman.2020.09.023_b0120 article-title: ‘Climate crisis’ and ‘bushfire disaster’: Implications for tourism from the involvement of social media in the 2019–2020 Australian bushfires publication-title: J. Hosp. Tour. Manag. doi: 10.1016/j.jhtm.2020.03.006 – ident: 10.1016/j.wasman.2020.09.023_b0020 – volume: 38 start-page: 398 year: 2014 ident: 10.1016/j.wasman.2020.09.023_b0065 article-title: Temporary disaster debris management site identification using binomial cluster analysis and GIS publication-title: Disasters doi: 10.1111/disa.12040 – ident: 10.1016/j.wasman.2020.09.023_b0055 – volume: 61 start-page: 109 year: 2012 ident: 10.1016/j.wasman.2020.09.023_b0140 article-title: Investigation on building waste and reclaim in Wenchuan earthquake disaster area publication-title: Resour. Conserv. Recycl. doi: 10.1016/j.resconrec.2012.01.012 – ident: 10.1016/j.wasman.2020.09.023_b0130 doi: 10.1109/RIISS.2014.7009173 – ident: 10.1016/j.wasman.2020.09.023_b0145 – volume: 99 start-page: 1 year: 1981 ident: 10.1016/j.wasman.2020.09.023_b0005 article-title: In vitro incorporation of (35S)-methionine in mitochondrial proteins of drosophila melanogaster publication-title: Biochem. Biophys. Res. Commun. doi: 10.1016/0006-291X(81)91704-6 – volume: 2 start-page: 65005 year: 2020 ident: 10.1016/j.wasman.2020.09.023_b0135 article-title: Experimental evidence of the multiple microclimatic impacts of bushfires in affected urban areas: the case of Sydney during the 2019/2020 Australian season publication-title: Environ. Res. Commun doi: 10.1088/2515-7620/ab9e1a – volume: 15 start-page: 282 year: 2013 ident: 10.1016/j.wasman.2020.09.023_b0095 article-title: The status of flood wastes treatment and future tasks in South Korea publication-title: J. Mater. Cycles Waste Manag. doi: 10.1007/s10163-013-0147-4 – volume: 46 start-page: 14 year: 2012 ident: 10.1016/j.wasman.2020.09.023_b0060 article-title: Incorporating recycling into post-disaster debris disposal publication-title: Socioecon. Plann. Sci. doi: 10.1016/j.seps.2011.10.001 – volume: 235 start-page: 822 year: 2019 ident: 10.1016/j.wasman.2020.09.023_b0150 article-title: A systematic review of recent developments in disaster waste management publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2019.06.229 – volume: 146 start-page: 590 year: 2019 ident: 10.1016/j.wasman.2020.09.023_b0015 article-title: Strategies of disaster waste management after an earthquake: A sustainability assessment publication-title: Resour. Conserv. Recycl. doi: 10.1016/j.resconrec.2019.02.033 – ident: 10.1016/j.wasman.2020.09.023_b0040 – volume: 20 year: 2016 ident: 10.1016/j.wasman.2020.09.023_b0045 article-title: Application of boolean logic and GIS for determining suitable locations for Temporary Disaster Waste Management Sites publication-title: Int. J. Disaster Risk Reduct. doi: 10.1016/j.ijdrr.2016.10.011 – volume: 18 start-page: 457 year: 2012 ident: 10.1016/j.wasman.2020.09.023_b0080 article-title: Post-disaster construction & demolition debris management: a Sri Lanka case study publication-title: J. Civ. Eng. Manag. doi: 10.3846/13923730.2012.699913 – year: 1977 ident: 10.1016/j.wasman.2020.09.023_b0085 – volume: 61 start-page: 386 year: 2017 ident: 10.1016/j.wasman.2020.09.023_b0125 article-title: Environmental and economic evaluation of pre-disaster plans for disaster waste management: Case study of Minami-Ise, Japan publication-title: Waste Manag. doi: 10.1016/j.wasman.2016.12.020 |
| SSID | ssj0014810 |
| Score | 2.4237077 |
| Snippet | •Included demolition operation in the two-stage disaster waste management system.•Developed MIP models which capture the key features of disaster waste... Disaster waste clean-up after large disasters is one of the core activities at the recovery stage of disaster management, which aims to restoring the normal... |
| SourceID | proquest pubmed crossref elsevier |
| SourceType | Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 1 |
| SubjectTerms | Buildings demolition arrangement case studies decision making disaster preparedness Disaster waste clean-up Disasters Location selection Mixed integer programming Refuse Disposal Temporary disaster waste management site Transportation Waste Management wastes |
| Title | Optimisation of waste clean-up after large-scale disasters |
| URI | https://dx.doi.org/10.1016/j.wasman.2020.09.023 https://www.ncbi.nlm.nih.gov/pubmed/33032153 https://www.proquest.com/docview/2449960538 https://www.proquest.com/docview/2524311149 |
| Volume | 119 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 1879-2456 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0014810 issn: 0956-053X databaseCode: AIEXJ dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1bb9MwFLZKhwQ8IBiXlcsUJN6Qp8aJa5u3qioCJAYSQ8pb5MS2WJWm1dLs8u85jhM3WjUGSLxEUWS31vlOTj4fnwtCb_kkNIxLhaUmBseSwCuVjxWmWuWCk3jCc9M0m2DHxzxJxLfB4KrLhTkvWFnyy0ux_q9QwzMA26bO_gXc_kfhAdwD6HAF2OH6R8B_BSOwbIN0LBW8kADkOxgkS1yv26bghQ0AxxUApO0ZjR3SHussurYwdtbSB8dYJjovlpWLhffeg9lP7YxFc7P1QtcNdPWpH7dqaeq0uKps08MvR7shKXZGVVlnovPU9z0SJLzmkfCpMtu4JOdvnGB44xP34XHWljN7vOMqi3tz3JpQZ1DD3pfZxb_u2HznflgcgThBKrDlJ-OmdK3LY75WTfu7XYddBrGWLrIlD_YIo4IP0d700zz57I-gYt6UsvDr7vIum-DA3f-6idfctG9p-MvJI_Sw3XgEU6cwj9FAl_vo3qzr97ePHvRKUz5B7_tqFKxM0KhR0KlR0KhR0FOjwKvRU_Tjw_xk9hG3fTZwDuR-g1VEw4gaYvOSqRobzQ3PdMy1kjrjKoulNoQYKgxYfBFmSqlYUSozOs4zFWfRMzQsV6U-QEFu8gmlJotzBjt1aQSVNCKa6QiYvTBshKJOSmneFqG3vVCKtIs2XKROtqmVbToWKch2hLCftXZFWG4ZzzoA0pZIOoKYgs7cMvNNh1cKMraHZ7LUq7pKgQbbQkbAD34zhhLg42EYixF67sD2642AKwK9jl7889peovvbt-0VGm7Oav0a3c3PN6fV2SG6wxJ-2CrxL8X0uzQ |
| 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=Optimisation+of+waste+clean-up+after+large-scale+disasters&rft.jtitle=Waste+management+%28Elmsford%29&rft.au=Cheng%2C+Cheng&rft.au=Zhu%2C+Rui&rft.au=Costa%2C+Alysson+M.&rft.au=Thompson%2C+Russell+George&rft.date=2021-01-01&rft.pub=Elsevier+Ltd&rft.issn=0956-053X&rft.eissn=1879-2456&rft.volume=119&rft.spage=1&rft.epage=10&rft_id=info:doi/10.1016%2Fj.wasman.2020.09.023&rft.externalDocID=S0956053X20305341 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0956-053X&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0956-053X&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0956-053X&client=summon |