Estimation of Urban housing Price by Using Hedonic and Artificial Neural Networks; (Case Study Koye Valiaser, Tabriz)
-- Housing as a heterogeneous product, durable, immovable,capitalist, useable, with lateral effects has dedicated itself a large part of family budget and also has a great role in the occupation and value added of the countries.Then prediction of the housing price has a great importance among the u...
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| Format: | Article |
| Language: | fas |
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University of Sistan and Baluchistan
2017-03-01
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| Series: | جغرافیا و آمایش شهری منطقه‌ای |
| Subjects: | |
| Online Access: | https://gaij.usb.ac.ir/article_2995_898fe5f9f740ebb09daf795547c5ffdf.pdf |
| _version_ | 1797798377784606720 |
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| author | Dr.iraj Teimoori Navid Soltan gheys Yaser Gholizadeh |
| author_facet | Dr.iraj Teimoori Navid Soltan gheys Yaser Gholizadeh |
| author_sort | Dr.iraj Teimoori |
| collection | DOAJ |
| description | -- Housing as a heterogeneous product, durable, immovable,capitalist, useable, with lateral effects has dedicated itself a large part of family budget and also has a great role in the occupation and value added of the countries.Then prediction of the housing price has a great importance among the urban planners and decision makers. If this prediction be able to provide the main factors which affect the housing price, then it will be a good instrument for decision making. If this estimation, particularly be able to reflect suitably the share of effective factors on the housing value, then it can be used in the urban and regional policy making. With respect to the importance of the issue, this article intends to investigate the main factors which affect on the housing price of the Koye Valiaser in the Tabriz. It is common to use hedonic regression and neural networks as a multi regression methods for predicating the housing price. For providing the effective factors we got help from Delphi method and the data gathered from questioner survey. Both Hedonic and Artificial Neural network could predicate the price. But the accuracy of neural network was much better than the Hedonic. Also the research showed there is relation among the spatial factors and the price of housing in Koye Valiaser. |
| first_indexed | 2024-03-13T04:03:45Z |
| format | Article |
| id | doaj.art-fb2a8d248aed4b5b8db241b47bb2cb16 |
| institution | Directory Open Access Journal |
| issn | 2345-2277 2783-5278 |
| language | fas |
| last_indexed | 2024-03-13T04:03:45Z |
| publishDate | 2017-03-01 |
| publisher | University of Sistan and Baluchistan |
| record_format | Article |
| series | جغرافیا و آمایش شهری منطقه‌ای |
| spelling | doaj.art-fb2a8d248aed4b5b8db241b47bb2cb162023-06-21T10:50:42ZfasUniversity of Sistan and Baluchistanجغرافیا و آمایش شهری منطقه‌ای2345-22772783-52782017-03-01722415610.22111/gaij.2017.29952995Estimation of Urban housing Price by Using Hedonic and Artificial Neural Networks; (Case Study Koye Valiaser, Tabriz)Dr.iraj Teimoori0Navid Soltan gheys1Yaser Gholizadeh2استادیار و عضو هیئت علمی جغرافیاو برنامه‌ریزی شهری، دانشگاه تبریزکارشناس ارشد جغرافیا و برنامه‌ریزی شهری، دانشگاه تبریزکارشناس ارشد جغرافیا و برنامه‌ریزی شهری، دانشگاه تبریز-- Housing as a heterogeneous product, durable, immovable,capitalist, useable, with lateral effects has dedicated itself a large part of family budget and also has a great role in the occupation and value added of the countries.Then prediction of the housing price has a great importance among the urban planners and decision makers. If this prediction be able to provide the main factors which affect the housing price, then it will be a good instrument for decision making. If this estimation, particularly be able to reflect suitably the share of effective factors on the housing value, then it can be used in the urban and regional policy making. With respect to the importance of the issue, this article intends to investigate the main factors which affect on the housing price of the Koye Valiaser in the Tabriz. It is common to use hedonic regression and neural networks as a multi regression methods for predicating the housing price. For providing the effective factors we got help from Delphi method and the data gathered from questioner survey. Both Hedonic and Artificial Neural network could predicate the price. But the accuracy of neural network was much better than the Hedonic. Also the research showed there is relation among the spatial factors and the price of housing in Koye Valiaser.https://gaij.usb.ac.ir/article_2995_898fe5f9f740ebb09daf795547c5ffdf.pdfhousinghedonicartificial neural networkhousing price predictionkoye valiaser tabriz |
| spellingShingle | Dr.iraj Teimoori Navid Soltan gheys Yaser Gholizadeh Estimation of Urban housing Price by Using Hedonic and Artificial Neural Networks; (Case Study Koye Valiaser, Tabriz) جغرافیا و آمایش شهری منطقه‌ای housing hedonic artificial neural network housing price prediction koye valiaser tabriz |
| title | Estimation of Urban housing Price by Using Hedonic and Artificial Neural Networks; (Case Study Koye Valiaser, Tabriz) |
| title_full | Estimation of Urban housing Price by Using Hedonic and Artificial Neural Networks; (Case Study Koye Valiaser, Tabriz) |
| title_fullStr | Estimation of Urban housing Price by Using Hedonic and Artificial Neural Networks; (Case Study Koye Valiaser, Tabriz) |
| title_full_unstemmed | Estimation of Urban housing Price by Using Hedonic and Artificial Neural Networks; (Case Study Koye Valiaser, Tabriz) |
| title_short | Estimation of Urban housing Price by Using Hedonic and Artificial Neural Networks; (Case Study Koye Valiaser, Tabriz) |
| title_sort | estimation of urban housing price by using hedonic and artificial neural networks case study koye valiaser tabriz |
| topic | housing hedonic artificial neural network housing price prediction koye valiaser tabriz |
| url | https://gaij.usb.ac.ir/article_2995_898fe5f9f740ebb09daf795547c5ffdf.pdf |
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