| id |
ddss9809 |
| authors |
Brondino, Nair Cristina Margarido and Da Silva, Antônio Nélson Rodrigues |
| year |
1998 |
| title |
A comparison of land valuation methods supported by GIS |
| source |
Timmermans, Harry (Ed.), Fourth Design and Decision Support Systems in Architecture and Urban Planning Maastricht, the Netherlands), ISBN 90-6814-081-7, July 26-29, 1998 |
| summary |
The purpose of this work was to study three different strategies for the appraisal of urban land. The first, a theoretical strategy created by the authors of this study to reproduce the common conditions of Brazilian cities, uses increments and reductions in the value of a square meter of land according to each lot’s individual features. The second method, based on Multiple Regression techniques, is widely used for valuation purposes. Finally, the effectiveness of Artificial Neural Networks to deal with thiskind of problem is studied. A sample of 157 lots was collected from several neighbourhoods of a small Brazilian city for the case study. The lot features recorded were area, width, shape, distance to the downtown district of the city through the street network, existence of fences and paved sidewalks, and market price. Prediction errors have been estimated for each of the three methods in order to compare their results. Predicted and error values, added to Geographical Information Systems, may be used to build thematic maps and to check how each strategy applies to different areas of the city. The analyses of error values conducted in this study showed that Artificial Neural Networks presented the best performance as a land appraisal method for the case studied. |
| series |
DDSS |
| email |
|
| full text |
 file.pdf (136,639 bytes) |
| references |
Content-type: text/plain
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| last changed |
2003/11/21 15:16 |
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