Real Estate Information Management System

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

• 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.

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Reasons for Choosing a New Home
Real Estate Information Management System

• Job shift
• Changes in family conditions
• Growing Accommodation requirements
• Social status
• Comfort

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Factors that influence our choice
Real Estate Information Management System

• Proximity to Education Institutions
• Proximity to Bus and Railway stations
• Proximity to hospitals
• Away from pollution
• Lower costs

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Real Estate Information Management System
RIMS

• 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.

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Real Estate Information Management System
Study Area
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Study Area
Real Estate Information Management System

• Ameerpet part of Hyderabad City, India
• Geographical area
• 1702602 N 1702640 N
• 7802644E 7802716 E
• SOI toposheet No - 56 K / 7/ NE
• Average Altitude 1778 feet above mean sea level
• Temperature ranges between 11.60 C 420 C

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Real Estate Information Management System
Locality Map of Ameerpet
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Methodology
Real Estate Information Management System

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

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Real Estate Information Management System
Methodology
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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.

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Linear Weighted Summation Model
Real Estate Information Management System

• 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.
• .

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Database Design
Real Estate Information Management System

• 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.

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Attribute Information
Real Estate Information Management System

• 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.

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Real Estate Information Management System
Classification of Attribute Data
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Real Estate Information Management System
Data Analysis
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Real Estate Information Management System
RIMS Interface
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Real Estate Information Management System
User Preferences
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Real Estate Information Management System
RESULTS
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Conclusion
Real Estate Information Management System

• 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
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Conclusion
Real Estate Information Management System

• 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.

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ACKNOWLEDGEMENTS
Real Estate Information Management System

• 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.

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Thank You
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Real Estate Information Management System

• Real Estate management System (pdf format)

• Real Estate management System (Ms word format)