File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Identification of the numerical patterns behind the leading counties in the U.S. local green building markets using data mining

TitleIdentification of the numerical patterns behind the leading counties in the U.S. local green building markets using data mining
Authors
KeywordsClustering
Classification
Greedy forward search
Green building market
Influential feature analysis
Issue Date2017
Citation
Journal of Cleaner Production, 2017, v. 151, p. 406-418 How to Cite?
Abstract© 2017 Elsevier Ltd The U.S. is reported to have one of the most developed green building markets. The country wide success must start from the success of different local markets. So how many important local green building markets are there in the U.S. and why those areas became important? The answers can provide useful implications for developing countries like China to better promote their green building markets. To explore the question in a numerical way, this study therefore collected the data of 17,636 green building projects in the U.S., clustered them into 39 important regions, and analyzed the numerical patterns behind based on 82 different features covering demography, economy, education, climate and policy. Non-linear machine learning algorithms help find that economic factors and educational factors are one of the most influential features. Discoveries were also implemented in China to suggest 20 areas to be the focus of developing Chinese green building market.
Persistent Identifierhttp://hdl.handle.net/10722/287057
ISSN
2023 Impact Factor: 9.7
2023 SCImago Journal Rankings: 2.058
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorMa, Jun-
dc.contributor.authorCheng, Jack C.P.-
dc.date.accessioned2020-09-07T11:46:23Z-
dc.date.available2020-09-07T11:46:23Z-
dc.date.issued2017-
dc.identifier.citationJournal of Cleaner Production, 2017, v. 151, p. 406-418-
dc.identifier.issn0959-6526-
dc.identifier.urihttp://hdl.handle.net/10722/287057-
dc.description.abstract© 2017 Elsevier Ltd The U.S. is reported to have one of the most developed green building markets. The country wide success must start from the success of different local markets. So how many important local green building markets are there in the U.S. and why those areas became important? The answers can provide useful implications for developing countries like China to better promote their green building markets. To explore the question in a numerical way, this study therefore collected the data of 17,636 green building projects in the U.S., clustered them into 39 important regions, and analyzed the numerical patterns behind based on 82 different features covering demography, economy, education, climate and policy. Non-linear machine learning algorithms help find that economic factors and educational factors are one of the most influential features. Discoveries were also implemented in China to suggest 20 areas to be the focus of developing Chinese green building market.-
dc.languageeng-
dc.relation.ispartofJournal of Cleaner Production-
dc.subjectClustering-
dc.subjectClassification-
dc.subjectGreedy forward search-
dc.subjectGreen building market-
dc.subjectInfluential feature analysis-
dc.titleIdentification of the numerical patterns behind the leading counties in the U.S. local green building markets using data mining-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.jclepro.2017.03.083-
dc.identifier.scopuseid_2-s2.0-85016512323-
dc.identifier.volume151-
dc.identifier.spage406-
dc.identifier.epage418-
dc.identifier.isiWOS:000399624000036-
dc.identifier.issnl0959-6526-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats