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Article: Experience mining for decision making on implementing sustainable urbanization - An innovative approach

TitleExperience mining for decision making on implementing sustainable urbanization - An innovative approach
Authors
KeywordsExperience mining
Experience sharing
Sustainable urbanization
Urbanization practice
Issue Date2013
Citation
Automation in Construction, 2013, v. 29, p. 40-49 How to Cite?
AbstractThe proliferation of good urbanization practices around the world has led to an imperative need to share these experiences. However, these good practice cases relate to different and specific contexts, making it difficult to effectively apply these experiences to other cases. It is appreciated that no existing method is available to guide us into refining these experiences so that they can be adopted in new urbanization scenarios. This method-shortage presents a major barrier to the sharing of good experiences between cities in promoting sustainable urbanization. This paper presents an Experience Mining System (ExMS) for effectively extracting previous urbanization practice experiences. ExMS is built based on the theories of experience representation, storage and mining. Its major components include a Sustainable Urbanization Practices Database (SUPD), a Refinery process, and a Mine-sweeper. ExMS can facilitate decision-makers in the selection of strategies and solutions when addressing urbanization practice challenges. © 2012 Elsevier B.V. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/333678
ISSN
2023 Impact Factor: 9.6
2023 SCImago Journal Rankings: 2.626
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorShen, L. Y.-
dc.contributor.authorOchoa, J. Jorge-
dc.contributor.authorZhang, Xiaoling-
dc.contributor.authorYi, Peng-
dc.date.accessioned2023-10-06T05:21:32Z-
dc.date.available2023-10-06T05:21:32Z-
dc.date.issued2013-
dc.identifier.citationAutomation in Construction, 2013, v. 29, p. 40-49-
dc.identifier.issn0926-5805-
dc.identifier.urihttp://hdl.handle.net/10722/333678-
dc.description.abstractThe proliferation of good urbanization practices around the world has led to an imperative need to share these experiences. However, these good practice cases relate to different and specific contexts, making it difficult to effectively apply these experiences to other cases. It is appreciated that no existing method is available to guide us into refining these experiences so that they can be adopted in new urbanization scenarios. This method-shortage presents a major barrier to the sharing of good experiences between cities in promoting sustainable urbanization. This paper presents an Experience Mining System (ExMS) for effectively extracting previous urbanization practice experiences. ExMS is built based on the theories of experience representation, storage and mining. Its major components include a Sustainable Urbanization Practices Database (SUPD), a Refinery process, and a Mine-sweeper. ExMS can facilitate decision-makers in the selection of strategies and solutions when addressing urbanization practice challenges. © 2012 Elsevier B.V. All rights reserved.-
dc.languageeng-
dc.relation.ispartofAutomation in Construction-
dc.subjectExperience mining-
dc.subjectExperience sharing-
dc.subjectSustainable urbanization-
dc.subjectUrbanization practice-
dc.titleExperience mining for decision making on implementing sustainable urbanization - An innovative approach-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.autcon.2012.07.001-
dc.identifier.scopuseid_2-s2.0-84866532537-
dc.identifier.volume29-
dc.identifier.spage40-
dc.identifier.epage49-
dc.identifier.isiWOS:000312233700004-

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