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However, this problem becomes highly challenging due to the multidimension, large volume, and nonlinearity of the land price\u2010influencing factors. In this paper, an effective data\u2010driven automated valuation framework is proposed for valuing real estate assets by combining a GIS (geographic information system) and neural network technologies. This framework can automatically obtain the values of spatial factors affecting land price from GIS and generate training set data for training the neural network to identify the complex relationship between all kinds of factors and benchmark land prices. The effectiveness and universality of the framework is verified via the data of benchmark land prices in Wuhan. The framework can be applied for automated benchmark land price valuation in other cities.<\/jats:p>","DOI":"10.1155\/2022\/1695265","type":"journal-article","created":{"date-parts":[[2022,4,28]],"date-time":"2022-04-28T17:50:57Z","timestamp":1651168257000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["A BP Neural Network\u2010Based GIS\u2010Data\u2010Driven Automated Valuation Framework for Benchmark Land Price"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9520-6276","authenticated-orcid":false,"given":"Lei","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6776-0598","authenticated-orcid":false,"given":"Yu","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1738-2047","authenticated-orcid":false,"given":"Yongchang","family":"Wei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4512-7190","authenticated-orcid":false,"given":"Fangyu","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2022,4,28]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1080\/09599916.1996.9965067"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11769-001-0045-x"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/1079024"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.habitatint.2014.04.012"},{"key":"e_1_2_9_5_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11146-007-9100-4"},{"key":"e_1_2_9_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.landurbplan.2005.02.016"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.596462"},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.1177\/0265813516652115"},{"key":"e_1_2_9_9_2","doi-asserted-by":"publisher","DOI":"10.3390\/su9112050"},{"key":"e_1_2_9_10_2","doi-asserted-by":"publisher","DOI":"10.3390\/su10124831"},{"key":"e_1_2_9_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.landusepol.2018.11.032"},{"key":"e_1_2_9_12_2","doi-asserted-by":"crossref","unstructured":"LiC. 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