{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T21:02:28Z","timestamp":1751317348719,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031104633"},{"type":"electronic","value":"9783031104640"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-10464-0_15","type":"book-chapter","created":{"date-parts":[[2022,7,6]],"date-time":"2022-07-06T13:04:06Z","timestamp":1657112646000},"page":"230-246","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Unsupervised Machine Learning Methods for\u00a0City Vitality Index"],"prefix":"10.1007","author":[{"given":"Jean-S\u00e9bastien","family":"Dessureault","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jonathan","family":"Simard","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel","family":"Massicotte","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,7,7]]},"reference":[{"issue":"2","key":"15_CR1","doi-asserted-by":"publisher","first-page":"189","DOI":"10.6092\/1970-9870\/1547","volume":"6","author":"A Soltani","year":"2013","unstructured":"Soltani, A., Karimzadeh, D.: The spatio-temporal modeling of urban growth using remote sensing and intelligent algorithms, case of Mahabad, Iran. TEMA J. Land Use Mobil. Environ. 6(2), 189\u2013200 (2013). https:\/\/doi.org\/10.6092\/1970-9870\/1547","journal-title":"TEMA J. Land Use Mobil. Environ."},{"key":"15_CR2","doi-asserted-by":"publisher","unstructured":"Li, X., Gar-On Yeh, A.: Neural-network-based cellular automata for simulating multiple land use changes using GIS. Int. J. Geogr. Inf. Sci. 6(4), 323\u2013343 (2002). https:\/\/doi.org\/10.1080\/13658810210137004","DOI":"10.1080\/13658810210137004"},{"key":"15_CR3","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/j.landurbplan.2010.10.007","volume":"100","author":"A Tayyebi","year":"2011","unstructured":"Tayyebi, A., Pijanowski, B., Tayyebi, A.H.: An urban growth boundary model using neural networks, GIS and radial parameterization: an application to Tehran, Iran. Landsc. Urban Plan. 100, 35\u201344 (2011). https:\/\/doi.org\/10.1016\/j.landurbplan.2010.10.007","journal-title":"Landsc. Urban Plan."},{"issue":"4","key":"15_CR4","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1559\/152304005775194746","volume":"32","author":"Q Guan","year":"2005","unstructured":"Guan, Q., Wang, L., Clarke, K.C.: An artificial-neural-network-based, constrained CA model for simulating urban growth. Cartogr. Geogr. Inf. Sci. 32(4), 369\u2013380 (2005). https:\/\/doi.org\/10.1559\/152304005775194746","journal-title":"Cartogr. Geogr. Inf. Sci."},{"issue":"412","key":"15_CR5","doi-asserted-by":"publisher","first-page":"60","DOI":"10.53910\/26531313-E200269412-414386","volume":"69","author":"CC Benninger","year":"2002","unstructured":"Benninger, C.C.: Principles of intelligent urbanism: the case of the new capital plan for Bhutan. Ekistics 69(412), 60\u201380 (2002)","journal-title":"Ekistics"},{"key":"15_CR6","unstructured":"Santoso, S., Kuehn, A.: Intelligent urbanism: convivial living in smart cities, p. 5 (2013)"},{"key":"15_CR7","doi-asserted-by":"publisher","unstructured":"Murgante, B., Borruso, G., Lapucci, A.: Geocomputation and urban planning, pp. 1\u201317 (2009). https:\/\/doi.org\/10.1007\/978-3-540-89930-3_1","DOI":"10.1007\/978-3-540-89930-3_1"},{"issue":"3","key":"15_CR8","doi-asserted-by":"publisher","first-page":"246","DOI":"10.1177\/0885412210361571","volume":"24","author":"N Wu","year":"2010","unstructured":"Wu, N., Silva, E.A.: Artificial intelligence solutions for urban land dynamics: a review. J. Plan. Lit. 24(3), 246\u2013265 (2010)","journal-title":"J. Plan. Lit."},{"key":"15_CR9","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1016\/j.cities.2012.03.006","volume":"30","author":"G Grekousis","year":"2013","unstructured":"Grekousis, G., Manetos, P., Photis, Y.N.: Modeling urban evolution using neural networks, fuzzy logic and GIS: the case of the Athens metropolitan area. Cities 30, 193\u2013203 (2013)","journal-title":"Cities"},{"issue":"5","key":"15_CR10","doi-asserted-by":"publisher","first-page":"807","DOI":"10.1109\/72.159070","volume":"3","author":"LX Wang","year":"1992","unstructured":"Wang, L.X., Mendel, J.M.: Fuzzy basis functions, universal approximation, and orthogonal least-squares learning. IEEE Trans. Neural Netw. 3(5), 807\u2013814 (1992)","journal-title":"IEEE Trans. Neural Netw."},{"key":"15_CR11","doi-asserted-by":"publisher","first-page":"103064","DOI":"10.1016\/j.cities.2020.103064","volume":"110","author":"G White","year":"2021","unstructured":"White, G., Zink, A., Codec\u00e1, L., Clarke, S.: A digital twin smart city for citizen feedback. Cities 110, 103064 (2021)","journal-title":"Cities"},{"key":"15_CR12","series-title":"Internet of Things","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-030-18732-3_1","volume-title":"Digital Twin Technologies and Smart Cities","author":"MJ Kaur","year":"2020","unstructured":"Kaur, M.J., Mishra, V.P., Maheshwari, P.: The convergence of digital twin, IoT, and machine learning: transforming data into action. In: Farsi, M., Daneshkhah, A., Hosseinian-Far, A., Jahankhani, H. (eds.) Digital Twin Technologies and Smart Cities. IT, pp. 3\u201317. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-18732-3_1"},{"key":"15_CR13","unstructured":"Ida vitality index"},{"key":"15_CR14","doi-asserted-by":"crossref","unstructured":"Drewes, J.E., van Aswegen, M.: Determining the vitality of urban centres, pp. 15\u201325 (2011)","DOI":"10.2495\/SW100021"},{"key":"15_CR15","unstructured":"Kaufman, L., Rousseeuw, P.: Finding Groups in Data: An Introduction to Cluster Analysis (2009)"},{"key":"15_CR16","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1016\/j.procs.2017.09.064","volume":"114","author":"N Gueorguieva","year":"2017","unstructured":"Gueorguieva, N., Valova, I., Georgiev, G.: M&MFCM: fuzzy Cmeans clustering with Mahalanobis and Minkowski distance metrics. Procedia Comput. Sci. 114, 224\u2013233 (2017)","journal-title":"Procedia Comput. Sci."},{"key":"15_CR17","first-page":"65","volume":"56","author":"AJ Cannon","year":"1912","unstructured":"Cannon, A.J.: Classification of 1477 stars by means of their photographic spectra. Ann. Harvard Coll. Observ. 56, 65\u2013114 (1912)","journal-title":"Ann. Harvard Coll. Observ."}],"container-title":["Lecture Notes in Networks and Systems","Intelligent Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-10464-0_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,14]],"date-time":"2022-09-14T14:04:11Z","timestamp":1663164251000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-10464-0_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031104633","9783031104640"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-10464-0_15","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"7 July 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Science and Information Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 July 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 July 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"sai2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/saiconference.com\/Computing","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}