real estate information management system anand sagar k deva pratap srinivasa rao g vijayanand k*...
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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.
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.
Real Estate Information Management System
Reasons for Choosing a New Home
• Job shift
• Changes in family conditions
• Growing Accommodation requirements
• Social status
• Comfort
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
• 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
Study Area
Real Estate Information Management System
Study Area
• Ameerpet – part of Hyderabad City, India• Geographical area
17026’02” N – 17026’40” N 78026’44”E – 78027’16” E
• SOI toposheet No - 56 K / 7/ NE • Average Altitude – 1778 feet above mean sea
level• Temperature ranges between 11.60 C – 420 C
Real Estate Information Management System
Locality Map of Ameerpet
Real Estate Information Management System
Real Estate Information Management System
Methodology
• GIS technology
• Multiple criteria evaluation technique
• Database Design
• Data Analysis
• Map Objects software in conjunction with Visual Basic
Real Estate Information Management System
Methodology
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.
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. .
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.
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.
Real Estate Information Management System
Classification of Attribute Data
Real Estate Information Management System
Data Analysis
Real Estate Information Management System
RIMS Interface
Real Estate Information Management System
User Preferences
Real Estate Information Management System
RESULTS
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…
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.
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.
Thank You
Real Estate Information Management System
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