A BP Neural Network-Based GIS-Data-Driven Automated Valuation Framework for Benchmark Land Price
The automated valuation of benchmark land price plays an essential role in regulating land demand in Chinese real-estate market as the big data are currently accumulated rapidly. However, this problem becomes highly challenging due to the multidimension, large volume, and nonlinearity of the land pr...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2022/1695265 |
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| _version_ | 1832554790197919744 |
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| author | Lei Wu Yu Zhang Yongchang Wei Fangyu Chen |
| author_facet | Lei Wu Yu Zhang Yongchang Wei Fangyu Chen |
| author_sort | Lei Wu |
| collection | DOAJ |
| description | The automated valuation of benchmark land price plays an essential role in regulating land demand in Chinese real-estate market as the big data are currently accumulated rapidly. However, this problem becomes highly challenging due to the multidimension, large volume, and nonlinearity of the land price-influencing factors. In this paper, an effective data-driven 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. |
| format | Article |
| id | doaj-art-88a7a52028354bca9b459cc0e4941979 |
| institution | Kabale University |
| issn | 1099-0526 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-88a7a52028354bca9b459cc0e49419792025-02-03T05:50:31ZengWileyComplexity1099-05262022-01-01202210.1155/2022/1695265A BP Neural Network-Based GIS-Data-Driven Automated Valuation Framework for Benchmark Land PriceLei Wu0Yu Zhang1Yongchang Wei2Fangyu Chen3Business CollegeInstitute of Operations Management and System EngineeringInstitute of Operations Management and System EngineeringInstitute of Operations Management and System EngineeringThe automated valuation of benchmark land price plays an essential role in regulating land demand in Chinese real-estate market as the big data are currently accumulated rapidly. However, this problem becomes highly challenging due to the multidimension, large volume, and nonlinearity of the land price-influencing factors. In this paper, an effective data-driven 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.http://dx.doi.org/10.1155/2022/1695265 |
| spellingShingle | Lei Wu Yu Zhang Yongchang Wei Fangyu Chen A BP Neural Network-Based GIS-Data-Driven Automated Valuation Framework for Benchmark Land Price Complexity |
| title | A BP Neural Network-Based GIS-Data-Driven Automated Valuation Framework for Benchmark Land Price |
| title_full | A BP Neural Network-Based GIS-Data-Driven Automated Valuation Framework for Benchmark Land Price |
| title_fullStr | A BP Neural Network-Based GIS-Data-Driven Automated Valuation Framework for Benchmark Land Price |
| title_full_unstemmed | A BP Neural Network-Based GIS-Data-Driven Automated Valuation Framework for Benchmark Land Price |
| title_short | A BP Neural Network-Based GIS-Data-Driven Automated Valuation Framework for Benchmark Land Price |
| title_sort | bp neural network based gis data driven automated valuation framework for benchmark land price |
| url | http://dx.doi.org/10.1155/2022/1695265 |
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