Exploring low-carbon and sustainable urban transformation design using ChatGPT and artificial bee colony algorithm.
The aim of this study is to provide effective solutions to promote the transition of resource-based cities to low carbon and sustainable development. Firstly, this study investigates the background of low-carbon transformation of resource-based cities. Secondly, it introduces the application method...
| Publicado en: | Humanities & Social Sciences Communications Vol. 11; no. 1; pp. 1 - 15 |
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| Autores principales: | , , , , , |
| Formato: | Artículo |
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Springer Nature
2/10/2024
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=175829958&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 175829958 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: MVR0 jtl: Humanities & Social Sciences Communications maglogo: N pubinfo: dt: 2/10/2024 vid: 11 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 175829958 10.1057/s41599-024-02765-4 ppf: 1 ppct: 14 formats: tig: atl: Exploring low-carbon and sustainable urban transformation design using ChatGPT and artificial bee colony algorithm. aug: au: Yu, Shuhui Yang, Ya Li, Jiamin Guo, Keyu Wang, Zeyu Liu, Yuwei affil: School of Creativity and Design, Guangzhou Huashang College, 511300, Guangzhou, China https://ror.org/04gpd4q15 Faculty of Innovation and Design, City University of Macau, 999078, Macau, China https://ror.org/0108wjw08 School of Architecture and Urban Planning, Anhui Jianzhu University, 230601, Hefei, China https://ror.org/04ycpbx82 Westminster School of Arts, University of Westminster, HA1 3TP, London, UK https://ror.org/033vjfk17 School of Chinese Language and Literature, Wuhan University, 430072, Wuhan, China https://ror.org/05ar8rn06 School of Public Administration, Guangzhou University, 510006, Guangzhou, China https://ror.org/04gcegc37 School of Arts and Communication, China University of Geosciences, 430074, Wuhan, China su: ChatGPT Bees algorithm Urban planning Cities & towns Sustainable development sug: subj: ChatGPT Bees algorithm Urban planning Cities & towns Sustainable development ab: The aim of this study is to provide effective solutions to promote the transition of resource-based cities to low carbon and sustainable development. Firstly, this study investigates the background of low-carbon transformation of resource-based cities. Secondly, it introduces the application method of Chat Generative Pre-trained Transformer (ChatGPT) in detail. Finally, this study proposes a comprehensive application of ChatGPT and artificial bee colony (ABC) algorithm. The results show that the average energy utilization efficiency improvement index of the group using ChatGPT is 0.11. The average energy efficiency improvement index of the group using ABC algorithm is 0.02 higher than that of the control group. The integrated application of ChatGPT and ABC algorithm can further improve the low-carbon transformation effect of resource-based cities and achieve the goal of green development. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2024 holdings: @attributes: islocal: N |
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