Effectiveness evaluation of Construction 4.0 technologies in improving built environment resilience
Purpose Built environments are highly vulnerable to climatic disasters such as extreme floods, droughts and storms. Inaccurate decisions in adopting emerging construction technologies can result in missed opportunities to improve the resilience of built environments. Therefore, understanding the eff...
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| Veröffentlicht in: | International journal of disaster resilience in the built environment 2024-08, Vol.15 (4), p.530-550 |
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| container_title | International journal of disaster resilience in the built environment |
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| creator | Shafei, Hazwani Rahman, Rahimi A. Lee, Yong Siang |
| description | Purpose
Built environments are highly vulnerable to climatic disasters such as extreme floods, droughts and storms. Inaccurate decisions in adopting emerging construction technologies can result in missed opportunities to improve the resilience of built environments. Therefore, understanding the effectiveness of emerging construction technologies in improving built environment resilience can help in making better strategic decisions at the national and organizational levels. This study aims to evaluate the effectiveness of Construction 4.0 technologies in improving built environment resilience.
Design/methodology/approach
A list of Construction 4.0 technologies was adopted from a national strategic plan. Then, the data were collected using the fuzzy technique for order preference by similarity to ideal solution technique from selected built environment experts to determine the relative effectiveness of Construction 4.0 technologies in improving built environment resilience.
Findings
Six Construction 4.0 technologies are critical in improving built environment resilience (in rank order): building information modeling, autonomous construction, advanced building materials, big data and predictive analytics, internet of Things and prefabrication and modular construction. In addition, adopting Construction 4.0 technologies collectively is crucial, as moderate to strong connections exist among the technologies in improving built environment resilience.
Originality/value
To the best of the authors’ knowledge, this is one of the first papers that evaluate the effectiveness of Construction 4.0 technologies in improving built environment resilience. Industry professionals, researchers and policymakers can use the study findings to make well-informed decisions on selecting Construction 4.0 technologies that improve built environment resilience to climatic disasters. |
| doi_str_mv | 10.1108/IJDRBE-02-2023-0030 |
| format | Article |
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Built environments are highly vulnerable to climatic disasters such as extreme floods, droughts and storms. Inaccurate decisions in adopting emerging construction technologies can result in missed opportunities to improve the resilience of built environments. Therefore, understanding the effectiveness of emerging construction technologies in improving built environment resilience can help in making better strategic decisions at the national and organizational levels. This study aims to evaluate the effectiveness of Construction 4.0 technologies in improving built environment resilience.
Design/methodology/approach
A list of Construction 4.0 technologies was adopted from a national strategic plan. Then, the data were collected using the fuzzy technique for order preference by similarity to ideal solution technique from selected built environment experts to determine the relative effectiveness of Construction 4.0 technologies in improving built environment resilience.
Findings
Six Construction 4.0 technologies are critical in improving built environment resilience (in rank order): building information modeling, autonomous construction, advanced building materials, big data and predictive analytics, internet of Things and prefabrication and modular construction. In addition, adopting Construction 4.0 technologies collectively is crucial, as moderate to strong connections exist among the technologies in improving built environment resilience.
Originality/value
To the best of the authors’ knowledge, this is one of the first papers that evaluate the effectiveness of Construction 4.0 technologies in improving built environment resilience. Industry professionals, researchers and policymakers can use the study findings to make well-informed decisions on selecting Construction 4.0 technologies that improve built environment resilience to climatic disasters.</description><identifier>ISSN: 1759-5908</identifier><identifier>EISSN: 1759-5908</identifier><identifier>EISSN: 1759-5916</identifier><identifier>DOI: 10.1108/IJDRBE-02-2023-0030</identifier><language>eng</language><publisher>Bingley: Emerald Publishing Limited</publisher><subject>3-D printers ; Artificial intelligence ; Big Data ; Blockchain ; Building information modeling ; Building materials ; Built environment ; Collaboration ; Construction ; Construction industry ; Data collection ; Decision making ; Decisions ; Disaster recovery ; Disasters ; Drought ; Earthquakes ; Effectiveness ; Emergency communications systems ; Emissions ; Extreme values ; Greenhouse gases ; Internet of Things ; Literature reviews ; Modular construction ; Natural disasters ; Operations management ; Performance evaluation ; Photogrammetry ; Predictive analytics ; Resilience ; Urban environments</subject><ispartof>International journal of disaster resilience in the built environment, 2024-08, Vol.15 (4), p.530-550</ispartof><rights>Emerald Publishing Limited</rights><rights>Emerald Publishing Limited.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c270t-a467de50cefc8d15b54b8af0715b39a4e602d6ff0cb165b4fb24012aa279d5ee3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/IJDRBE-02-2023-0030/full/html$$EHTML$$P50$$Gemerald$$H</linktohtml><link.rule.ids>315,781,785,21700,27929,27930,53249</link.rule.ids></links><search><creatorcontrib>Shafei, Hazwani</creatorcontrib><creatorcontrib>Rahman, Rahimi A.</creatorcontrib><creatorcontrib>Lee, Yong Siang</creatorcontrib><title>Effectiveness evaluation of Construction 4.0 technologies in improving built environment resilience</title><title>International journal of disaster resilience in the built environment</title><description>Purpose
Built environments are highly vulnerable to climatic disasters such as extreme floods, droughts and storms. Inaccurate decisions in adopting emerging construction technologies can result in missed opportunities to improve the resilience of built environments. Therefore, understanding the effectiveness of emerging construction technologies in improving built environment resilience can help in making better strategic decisions at the national and organizational levels. This study aims to evaluate the effectiveness of Construction 4.0 technologies in improving built environment resilience.
Design/methodology/approach
A list of Construction 4.0 technologies was adopted from a national strategic plan. Then, the data were collected using the fuzzy technique for order preference by similarity to ideal solution technique from selected built environment experts to determine the relative effectiveness of Construction 4.0 technologies in improving built environment resilience.
Findings
Six Construction 4.0 technologies are critical in improving built environment resilience (in rank order): building information modeling, autonomous construction, advanced building materials, big data and predictive analytics, internet of Things and prefabrication and modular construction. In addition, adopting Construction 4.0 technologies collectively is crucial, as moderate to strong connections exist among the technologies in improving built environment resilience.
Originality/value
To the best of the authors’ knowledge, this is one of the first papers that evaluate the effectiveness of Construction 4.0 technologies in improving built environment resilience. Industry professionals, researchers and policymakers can use the study findings to make well-informed decisions on selecting Construction 4.0 technologies that improve built environment resilience to climatic disasters.</description><subject>3-D printers</subject><subject>Artificial intelligence</subject><subject>Big Data</subject><subject>Blockchain</subject><subject>Building information modeling</subject><subject>Building materials</subject><subject>Built environment</subject><subject>Collaboration</subject><subject>Construction</subject><subject>Construction industry</subject><subject>Data collection</subject><subject>Decision making</subject><subject>Decisions</subject><subject>Disaster recovery</subject><subject>Disasters</subject><subject>Drought</subject><subject>Earthquakes</subject><subject>Effectiveness</subject><subject>Emergency communications systems</subject><subject>Emissions</subject><subject>Extreme values</subject><subject>Greenhouse gases</subject><subject>Internet of Things</subject><subject>Literature reviews</subject><subject>Modular construction</subject><subject>Natural disasters</subject><subject>Operations management</subject><subject>Performance evaluation</subject><subject>Photogrammetry</subject><subject>Predictive analytics</subject><subject>Resilience</subject><subject>Urban environments</subject><issn>1759-5908</issn><issn>1759-5908</issn><issn>1759-5916</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp1kU1PwzAMhisEEtPYL-ASiXOHmzT9OMIYMDQJCcE5SlNnZGqTkbSV-Pd0lAMc8MWvJb-29TiKLhNYJgkU15unu5fbdQw0pkBZDMDgJJolOS9jXkJx-kufR4sQ9jAGo0WW81mk1lqj6syAFkMgOMiml51xljhNVs6Gzvfqu06XQDpU79Y1bmcwEGOJaQ_eDcbuSNWbpiNoB-OdbdF2xGMwjUGr8CI607IJuPjJ8-jtfv26eoy3zw-b1c02VjSHLpZpltfIQaFWRZ3wiqdVITXko2SlTDEDWmdag6qSjFeprmgKCZWS5mXNEdk8uprmjkd99Bg6sXe9t-NKwaDktISUsrGLTV3KuxA8anHwppX-UyQgjkDFBFQAFUeg4gh0dNHJhS162dT_mP58gX0Bh3B5yg</recordid><startdate>20240826</startdate><enddate>20240826</enddate><creator>Shafei, Hazwani</creator><creator>Rahman, Rahimi A.</creator><creator>Lee, Yong Siang</creator><general>Emerald Publishing Limited</general><general>Emerald Group Publishing Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>KR7</scope><scope>SOI</scope></search><sort><creationdate>20240826</creationdate><title>Effectiveness evaluation of Construction 4.0 technologies in improving built environment resilience</title><author>Shafei, Hazwani ; Rahman, Rahimi A. ; Lee, Yong Siang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c270t-a467de50cefc8d15b54b8af0715b39a4e602d6ff0cb165b4fb24012aa279d5ee3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>3-D printers</topic><topic>Artificial intelligence</topic><topic>Big Data</topic><topic>Blockchain</topic><topic>Building information modeling</topic><topic>Building materials</topic><topic>Built environment</topic><topic>Collaboration</topic><topic>Construction</topic><topic>Construction industry</topic><topic>Data collection</topic><topic>Decision making</topic><topic>Decisions</topic><topic>Disaster recovery</topic><topic>Disasters</topic><topic>Drought</topic><topic>Earthquakes</topic><topic>Effectiveness</topic><topic>Emergency communications systems</topic><topic>Emissions</topic><topic>Extreme values</topic><topic>Greenhouse gases</topic><topic>Internet of Things</topic><topic>Literature reviews</topic><topic>Modular construction</topic><topic>Natural disasters</topic><topic>Operations management</topic><topic>Performance evaluation</topic><topic>Photogrammetry</topic><topic>Predictive analytics</topic><topic>Resilience</topic><topic>Urban environments</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shafei, Hazwani</creatorcontrib><creatorcontrib>Rahman, Rahimi A.</creatorcontrib><creatorcontrib>Lee, Yong Siang</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>International journal of disaster resilience in the built environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shafei, Hazwani</au><au>Rahman, Rahimi A.</au><au>Lee, Yong Siang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effectiveness evaluation of Construction 4.0 technologies in improving built environment resilience</atitle><jtitle>International journal of disaster resilience in the built environment</jtitle><date>2024-08-26</date><risdate>2024</risdate><volume>15</volume><issue>4</issue><spage>530</spage><epage>550</epage><pages>530-550</pages><issn>1759-5908</issn><eissn>1759-5908</eissn><eissn>1759-5916</eissn><abstract>Purpose
Built environments are highly vulnerable to climatic disasters such as extreme floods, droughts and storms. Inaccurate decisions in adopting emerging construction technologies can result in missed opportunities to improve the resilience of built environments. Therefore, understanding the effectiveness of emerging construction technologies in improving built environment resilience can help in making better strategic decisions at the national and organizational levels. This study aims to evaluate the effectiveness of Construction 4.0 technologies in improving built environment resilience.
Design/methodology/approach
A list of Construction 4.0 technologies was adopted from a national strategic plan. Then, the data were collected using the fuzzy technique for order preference by similarity to ideal solution technique from selected built environment experts to determine the relative effectiveness of Construction 4.0 technologies in improving built environment resilience.
Findings
Six Construction 4.0 technologies are critical in improving built environment resilience (in rank order): building information modeling, autonomous construction, advanced building materials, big data and predictive analytics, internet of Things and prefabrication and modular construction. In addition, adopting Construction 4.0 technologies collectively is crucial, as moderate to strong connections exist among the technologies in improving built environment resilience.
Originality/value
To the best of the authors’ knowledge, this is one of the first papers that evaluate the effectiveness of Construction 4.0 technologies in improving built environment resilience. Industry professionals, researchers and policymakers can use the study findings to make well-informed decisions on selecting Construction 4.0 technologies that improve built environment resilience to climatic disasters.</abstract><cop>Bingley</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/IJDRBE-02-2023-0030</doi><tpages>21</tpages></addata></record> |
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| identifier | ISSN: 1759-5908 |
| ispartof | International journal of disaster resilience in the built environment, 2024-08, Vol.15 (4), p.530-550 |
| issn | 1759-5908 1759-5908 1759-5916 |
| language | eng |
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| source | Standard: Emerald eJournal Premier Collection |
| subjects | 3-D printers Artificial intelligence Big Data Blockchain Building information modeling Building materials Built environment Collaboration Construction Construction industry Data collection Decision making Decisions Disaster recovery Disasters Drought Earthquakes Effectiveness Emergency communications systems Emissions Extreme values Greenhouse gases Internet of Things Literature reviews Modular construction Natural disasters Operations management Performance evaluation Photogrammetry Predictive analytics Resilience Urban environments |
| title | Effectiveness evaluation of Construction 4.0 technologies in improving built environment resilience |
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