2. Real Estate Information Management System Anand Sagar K Deva Pratap Srinivasa Rao G Vijayanand K* Department of Civil Engineering National Institute of Technology Warangal, A.P., India. *Department of Computer Science Pondicherry University Pondicherry, India.

3. Real Estate Information Management System Introduction Home is the dream of everyone. Finding a better house with optimal cost is both frustrating and time consuming. To meet such needs of people a system called Real Estate Information Management System (RIMS) was developed.

4. Real Estate Information Management System Reasons for Choosing a New Home Job shift Changes in family conditions Growing Accommodation requirements Social status Comfort

5. Real Estate Information Management System Factors that influence our choice Proximity to Education Institutions Proximity to Bus and Railway stations Proximity to hospitals Away from pollution Lower costs

6. To find a home acceptable to all family at right place at right cost. Real estate information management with an appropriate decision support system is necessary. Real Estate Information Management System RIMS

7. Study Area Real Estate Information Management System

8. Study Area Ameerpet – part of Hyderabad City, India Geographical area 17 0 2602 N – 17 0 2640 N 78 0 2644E – 78 0 2716 E SOI toposheet No - 56 K / 7/ NE Average Altitude – 1778 feet above mean sea level Temperature ranges between 11.6 0 C – 42 0 C Real Estate Information Management System

9. Locality Map of Ameerpet Real Estate Information Management System

10. Methodology GIS technology Multiple criteria evaluation technique Database Design Data Analysis Map Objects software in conjunction with Visual Basic

11. Real Estate Information Management System Methodology

12. GIS and Multiple Criteria Evaluation Technique The MCE technique allows map layers to be weighed according to their importance. GIS provides the processing capability to assess spatial criteria as part of a MCE procedure GIS is a suitable computing tool to perform the MCE analysis.

13. Real Estate Information Management System Linear Weighted Summation Model Land information is transformed to a set of factors over study area Factors are combined by applying a weight to each factor Overlay summation to yield a map The suitability score S is computed as S = O (Ai * Wi) Where Ai is the criterion score of factor i Wi is the weight factor..

14. Real Estate Information Management System Database Design The foundation of any GIS application is spatial data Accurate and timely spatial data is critical component of application development in real estate. The reliability of data correlates directly with value of GIS (garbage in, garbage out). Characteristic of GIS is the linking of attribute tables to digital maps.

15. Real Estate Information Management System Attribute Information Market data - historic, current and projected trends of rates at the sub market level. Descriptive data - name and address of the apartment, owner, type of flat, floor area etc. Transaction data - property last sold, the buyer, the seller and the selling price etc.

16. Real Estate Information Management System Classification of Attribute Data

17. Real Estate Information Management System Data Analysis

18. Real Estate Information Management System RIMS Interface

19. Real Estate Information Management System User Preferences

20. Real Estate Information Management System RESULTS

21. Real Estate Information Management System Conclusion Linear combination method is simple and flexible to include spatial modeling in a MCE. RIMS provides a complete solution for - spatial indexing - selecting and clipping of data - dynamic loading - managing large volumes of information Contd…

22. Real Estate Information Management System Conclusion Transportation accessibility become greater contributor to the commercial value of a site. The flow of geographic information to businesses and consumers lead to more rational land use decisions. The applied language technologies should be encouraged to efficient services.

23. Real Estate Information Management System ACKNOWLEDGEMENTS We wish to place on record our gratitude to Dr. V. Upender Reddy, Technical Director, Spatial Infocom, Hyderabad for his critical analysis and fruitful discussion on the topic.

24. Thank You

25. Real Estate Information Management System Real Estate management System (pdf format) Real Estate management System (Ms word format)