The Effects of Data Collection Method and Monitoring of Workers' Behavior on the Generation of Demolition Waste
The roles of both the data collection method (including proper classification) and the behavior of workers on the generation of demolition waste (DW) are important. By analyzing the effect of the data collection method used to estimate DW, and by investigating how workers' behavior can affect t...
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Veröffentlicht in: | International journal of environmental research and public health 2017-10, Vol.14 (10), p.1216 |
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creator | Cha, Gi-Wook Kim, Young-Chan Moon, Hyeun Jun Hong, Won-Hwa |
description | The roles of both the data collection method (including proper classification) and the behavior of workers on the generation of demolition waste (DW) are important. By analyzing the effect of the data collection method used to estimate DW, and by investigating how workers' behavior can affect the total amount of DW generated during an actual demolition process, it was possible to identify strategies that could improve the prediction of DW. Therefore, this study surveyed demolition waste generation rates (DWGRs) for different types of building by conducting on-site surveys immediately before demolition in order to collect adequate and reliable data. In addition, the effects of DW management strategies and of monitoring the behavior of workers on the actual generation of DW were analyzed. The results showed that when monitoring was implemented, the estimates of DW obtained from the DWGRs that were surveyed immediately before demolition and the actual quantities of DW reported by the demolition contractors had an error rate of 0.63% when the results were compared. Therefore, this study has shown that the proper data collection method (i.e., data were collected immediately before demolition) applied in this paper and monitoring on the demolition site have a significant impact on waste generation. |
doi_str_mv | 10.3390/ijerph14101216 |
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By analyzing the effect of the data collection method used to estimate DW, and by investigating how workers' behavior can affect the total amount of DW generated during an actual demolition process, it was possible to identify strategies that could improve the prediction of DW. Therefore, this study surveyed demolition waste generation rates (DWGRs) for different types of building by conducting on-site surveys immediately before demolition in order to collect adequate and reliable data. In addition, the effects of DW management strategies and of monitoring the behavior of workers on the actual generation of DW were analyzed. The results showed that when monitoring was implemented, the estimates of DW obtained from the DWGRs that were surveyed immediately before demolition and the actual quantities of DW reported by the demolition contractors had an error rate of 0.63% when the results were compared. Therefore, this study has shown that the proper data collection method (i.e., data were collected immediately before demolition) applied in this paper and monitoring on the demolition site have a significant impact on waste generation.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph14101216</identifier><identifier>PMID: 29023378</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Architecture ; Attitudes ; Building construction ; Construction industry ; Construction Materials ; Contractors ; Data collection ; Data Collection - methods ; Demolition ; Environmental Health ; Industrial Waste ; Methods ; Monitoring ; Neural networks ; Occupational Health ; Onsite ; Republic of Korea ; Researchers ; Site surveys ; Studies ; Waste Management - methods ; Workers</subject><ispartof>International journal of environmental research and public health, 2017-10, Vol.14 (10), p.1216</ispartof><rights>Copyright MDPI AG 2017</rights><rights>2017 by the authors. 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c418t-f7f7643bf0ae53c392f00e65dd3411ff32e095140e3e015ede2da209ed6523f53</citedby><cites>FETCH-LOGICAL-c418t-f7f7643bf0ae53c392f00e65dd3411ff32e095140e3e015ede2da209ed6523f53</cites><orcidid>0000-0001-8590-6482</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5664717/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5664717/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29023378$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cha, Gi-Wook</creatorcontrib><creatorcontrib>Kim, Young-Chan</creatorcontrib><creatorcontrib>Moon, Hyeun Jun</creatorcontrib><creatorcontrib>Hong, Won-Hwa</creatorcontrib><title>The Effects of Data Collection Method and Monitoring of Workers' Behavior on the Generation of Demolition Waste</title><title>International journal of environmental research and public health</title><addtitle>Int J Environ Res Public Health</addtitle><description>The roles of both the data collection method (including proper classification) and the behavior of workers on the generation of demolition waste (DW) are important. By analyzing the effect of the data collection method used to estimate DW, and by investigating how workers' behavior can affect the total amount of DW generated during an actual demolition process, it was possible to identify strategies that could improve the prediction of DW. Therefore, this study surveyed demolition waste generation rates (DWGRs) for different types of building by conducting on-site surveys immediately before demolition in order to collect adequate and reliable data. In addition, the effects of DW management strategies and of monitoring the behavior of workers on the actual generation of DW were analyzed. The results showed that when monitoring was implemented, the estimates of DW obtained from the DWGRs that were surveyed immediately before demolition and the actual quantities of DW reported by the demolition contractors had an error rate of 0.63% when the results were compared. Therefore, this study has shown that the proper data collection method (i.e., data were collected immediately before demolition) applied in this paper and monitoring on the demolition site have a significant impact on waste generation.</description><subject>Architecture</subject><subject>Attitudes</subject><subject>Building construction</subject><subject>Construction industry</subject><subject>Construction Materials</subject><subject>Contractors</subject><subject>Data collection</subject><subject>Data Collection - methods</subject><subject>Demolition</subject><subject>Environmental Health</subject><subject>Industrial Waste</subject><subject>Methods</subject><subject>Monitoring</subject><subject>Neural networks</subject><subject>Occupational Health</subject><subject>Onsite</subject><subject>Republic of Korea</subject><subject>Researchers</subject><subject>Site surveys</subject><subject>Studies</subject><subject>Waste Management - methods</subject><subject>Workers</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNpdkctPxCAQh4nR-Fi9ejQkHvSyOpRCtxcTXZ-JxovGI8F2sKxdWIHdxP_edn1EPTEw33xh8iNkl8ER5yUc2wmGWcNyBixjcoVsMilhmEtgq7_qDbIV4wSAj3JZrpONrISM82K0SfxDg_TCGKxSpN7Qc500Hfu27R6sd_QOU-Nrql1N77yzyQfrXnrwyYdXDPGAnmGjF9YH2tGpk12hw6CXw70Pp761y9uTjgm3yZrRbcSdr3NAHi8vHsbXw9v7q5vx6e2wytkoDU1hCpnzZwMaBa94mRkAlKKuec6YMTxDKAXLATkCE1hjVusMSqylyLgRfEBOPr2z-fMU6wpdCrpVs2CnOrwrr63623G2US9-oYSUecGKTnD4JQj-bY4xqamNFbatdujnUbFSMskFcOjQ_X_oxM-D69brKSFHRVH2wqNPqgo-xoDm5zMMVJ-l-ptlN7D3e4Uf_Ds8_gEyZ5vp</recordid><startdate>20171012</startdate><enddate>20171012</enddate><creator>Cha, Gi-Wook</creator><creator>Kim, Young-Chan</creator><creator>Moon, Hyeun Jun</creator><creator>Hong, Won-Hwa</creator><general>MDPI AG</general><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-8590-6482</orcidid></search><sort><creationdate>20171012</creationdate><title>The Effects of Data Collection Method and Monitoring of Workers' Behavior on the Generation of Demolition Waste</title><author>Cha, Gi-Wook ; Kim, Young-Chan ; Moon, Hyeun Jun ; Hong, Won-Hwa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c418t-f7f7643bf0ae53c392f00e65dd3411ff32e095140e3e015ede2da209ed6523f53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Architecture</topic><topic>Attitudes</topic><topic>Building construction</topic><topic>Construction industry</topic><topic>Construction Materials</topic><topic>Contractors</topic><topic>Data collection</topic><topic>Data Collection - methods</topic><topic>Demolition</topic><topic>Environmental Health</topic><topic>Industrial Waste</topic><topic>Methods</topic><topic>Monitoring</topic><topic>Neural networks</topic><topic>Occupational Health</topic><topic>Onsite</topic><topic>Republic of Korea</topic><topic>Researchers</topic><topic>Site surveys</topic><topic>Studies</topic><topic>Waste Management - methods</topic><topic>Workers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cha, Gi-Wook</creatorcontrib><creatorcontrib>Kim, Young-Chan</creatorcontrib><creatorcontrib>Moon, Hyeun Jun</creatorcontrib><creatorcontrib>Hong, Won-Hwa</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of environmental research and public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cha, Gi-Wook</au><au>Kim, Young-Chan</au><au>Moon, Hyeun Jun</au><au>Hong, Won-Hwa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Effects of Data Collection Method and Monitoring of Workers' Behavior on the Generation of Demolition Waste</atitle><jtitle>International journal of environmental research and public health</jtitle><addtitle>Int J Environ Res Public Health</addtitle><date>2017-10-12</date><risdate>2017</risdate><volume>14</volume><issue>10</issue><spage>1216</spage><pages>1216-</pages><issn>1660-4601</issn><issn>1661-7827</issn><eissn>1660-4601</eissn><abstract>The roles of both the data collection method (including proper classification) and the behavior of workers on the generation of demolition waste (DW) are important. By analyzing the effect of the data collection method used to estimate DW, and by investigating how workers' behavior can affect the total amount of DW generated during an actual demolition process, it was possible to identify strategies that could improve the prediction of DW. Therefore, this study surveyed demolition waste generation rates (DWGRs) for different types of building by conducting on-site surveys immediately before demolition in order to collect adequate and reliable data. In addition, the effects of DW management strategies and of monitoring the behavior of workers on the actual generation of DW were analyzed. The results showed that when monitoring was implemented, the estimates of DW obtained from the DWGRs that were surveyed immediately before demolition and the actual quantities of DW reported by the demolition contractors had an error rate of 0.63% when the results were compared. Therefore, this study has shown that the proper data collection method (i.e., data were collected immediately before demolition) applied in this paper and monitoring on the demolition site have a significant impact on waste generation.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>29023378</pmid><doi>10.3390/ijerph14101216</doi><orcidid>https://orcid.org/0000-0001-8590-6482</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Architecture Attitudes Building construction Construction industry Construction Materials Contractors Data collection Data Collection - methods Demolition Environmental Health Industrial Waste Methods Monitoring Neural networks Occupational Health Onsite Republic of Korea Researchers Site surveys Studies Waste Management - methods Workers |
title | The Effects of Data Collection Method and Monitoring of Workers' Behavior on the Generation of Demolition Waste |
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