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dc.contributor.author | San José Cabrero, Andrea | es_ES |
dc.contributor.author | Ramírez Pacheco, Gema | es_ES |
dc.date.accessioned | 2022-11-14T13:09:39Z | |
dc.date.available | 2022-11-14T13:09:39Z | |
dc.date.issued | 2022-09-20 | |
dc.identifier.isbn | 9788413960180 | |
dc.identifier.uri | http://hdl.handle.net/10251/189705 | |
dc.description.abstract | [EN] The technological revolution has given rise to a new scenario for action, the Smart Cities. Its influence in the field of real estate valuation is transferred to the Automated Valuation Models (AVM) as tools that allow us to deal with the volume, complexity and speed of growth of massive data. Traditional models and methodologies become obsolete in the face of the intangible relationships between the new characteristic attributes of each property: its intrinsic characteristics and their urban, political, economic and social context. This paper aims to provice an updated framework for the future of property valuation, defining the possible consequences of managing real estate in a new sustainable way. | es_ES |
dc.format.extent | 1 | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Editorial Universitat Politècnica de València | es_ES |
dc.relation.ispartof | 4th International Conference on Advanced Research Methods and Analytics (CARMA 2022) | |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Property valuation | es_ES |
dc.subject | Real estate management | es_ES |
dc.subject | Big Data | es_ES |
dc.subject | Automated Valuation Model | es_ES |
dc.subject | Artificial intelligence | es_ES |
dc.subject | Sustainability | es_ES |
dc.title | Automated real estate valuation disruption in the Smart Cities context | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.description.bibliographicCitation | San José Cabrero, A.; Ramírez Pacheco, G. (2022). Automated real estate valuation disruption in the Smart Cities context. En 4th International Conference on Advanced Research Methods and Analytics (CARMA 2022). Editorial Universitat Politècnica de València. 291-291. http://hdl.handle.net/10251/189705 | es_ES |
dc.description.accrualMethod | OCS | es_ES |
dc.relation.conferencename | CARMA 2022 - 4th International Conference on Advanced Research Methods and Analytics | es_ES |
dc.relation.conferencedate | Junio 29-Julio 01, 2022 | es_ES |
dc.relation.conferenceplace | Valencia, España | |
dc.relation.publisherversion | http://ocs.editorial.upv.es/index.php/CARMA/CARMA2022/paper/view/15096 | es_ES |
dc.description.upvformatpinicio | 291 | es_ES |
dc.description.upvformatpfin | 291 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.pasarela | OCS\15096 | es_ES |