LAND VALUATION TECHNIQUE BY GIS

BY:

Suroj Dahal (suroj.rocks@gmail.com)

Durga Prasad Ojha(sumandp123@gmail.com)

Suman Bikram Panta(sumanpanta999@gmail.com)

(This project is done for partial fullfillment of third year Engineering project)

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Presentation Outlines

Introduction

Objectives

Land Valuation Methods

Methodology

Result

Project Limitations

Conclusion and recommendations

References

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Introduction

• Land is a basic resource for wealth creation.

• Efficient information on land is a good foundation for wealth generation and national development.

• Land valuation is the process of estimating the value of property at a given time.

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Contd…• Value and potential of property are

fundamentally determined by its location.

• Thus, GIS is very important in land valuation.

• To determine the value of a land, some land valuation influencing factors are selected and spatially analyzed by using GIS.

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Objectives

Main objective:

To prepare a land valuation map.

Sub-Objective:

To analyze and visualize land data to produce land value information using ArcGIS .

To determine the weights of different land value factors.

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Land Valuation Methods

Comparative Method

Cost Method

Income Method

Nominal Asset Land Valuation Method

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Methodology

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Define Study Area

Define Problem

Collect Data

Formulate Objective

Pre Pre-processing data

Weight Calculation

Factor Determination

Analyze the influence factor on Residential land

values

Literature Review

Validate the model

Conclusion

Factors Considered Road Facility

Water Facility

Electricity Facility

Location of Land parcel

Transportation

Communication

Sewerage

Temporal residence type

(Reference: “Survey Office Working Procedure-2060”)

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Business and Residential Area Existing Revised

S.N. Factors Weight % Weight %

1 Road Facility 10 0.20 18 0.36

2 Location of Land parcel 10 0.20 10 0.20

3 Water Facility 8 0.16 8 0.12

4 Electricity Facility 8 0.16 6 0.16

5 Transportation 5 0.10 3 0.06

6 Communication 4 0.08 2 0.04

7 Sewerage 3 0.06 2 0.04

8 Temporal residence type 2 0.04 1 0.02

Total 50 1 50 1

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1. Road Facility Existing Revised

S.N. Road Type Weight % Weight %

1 Highway 10 1.00 18 1.00

2 District 8 0.80 12 0.66

3 Inner-blacktopped 6 0.60 10 0.55

4 Inner-ortho 4 0.40 6 0.33

5 Goreto /Galli 2 0.20 4 0.20

6 Kulo 1 0.10 2 0.10

7 Not access 0 0.00 0 0.00

2.Communication Facilities Existing Revised

S.N. Type Weight % Weight %

1 Telephone 4 1.00 2 1.00

2 no service 0 0.00 0 0.00

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4. Location of Land Existing Revised

S.N. Location of Land parcel

Weight % Weight %

1 Health-all 4 8 1.00 10 1.00

2 Education-only 3 6 0.75 6 0.60

3 Business Centre-only 2 4 0.50 4 0.40

4 Administration centre-1 2 0.25 2 0.20

5 No Service 0 0.00 1 0.10

5.Transportation Facilities Existing Revised

S.N. Type Weight % Weight %

1 Public (Highway/District) 5 1.00 3 1.00

2 Partial(Inner) 2 0.40 2 0.67

3 (Galli /Goreto Access) 0.00 1 0.33

4 No Service 0 0.00 0 0.00

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6. Sewerage Facility Existing Revised

S.N. Type Weight % Weight %

1 Public Sewerage 3 1.00 2 1.00

2 no service 0 0.00 0 0.00

7. Temporal Residence Existing Revised

S.N. Type Weight % Weight %

1 Permanent 2 1.00 1.0 1.00

2 Temporal 1 0.50 0.5 0.50

Table: Land Classification ( Source: Survey Department)

Class 2Ka 41-50

Class 2Kha 31-40

Class 2Ga 21-30

Class 2Gha 11-20

Class 2Nga 1-10

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Fig: Restriction model

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Fig: Suitability model15

Result

A land valuation map showing the grade range of parcels.

Weightage of individual factors affecting land valuation.

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Fig: Land valuation map17

Project Limitations

The number of land valuation factors is uncertain.

Legal factors and personal sentiments are not considered in this valuation process.

The final map is a 2D map.

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Conclusion and recommendations Economic changes are seriously affecting real

estate marketing and land values are fluctuated.

A land valuation method which has spatial abilities must be developed to prevent this fluctuation.

To increase the effectiveness of land valuation process, a nominal asset value-based technique can work using GIS.

Different land valuation factors are formulated and spatially examined to produce a land valuation map.

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• Multiple Regression Analysis (MRA) identifies the degree of importance of each variables and show how well the model itself perform an estimating device.

• Developing a regression model helps to determine the land values in a mathematical way.

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References

a) French N.S., The Valuation Specialized Property: A review of Valuation Methods.

b) Yomralioglu T., Nisanci R., (2004), Nominal Asset Land Valuation Technique by GIS. FIGWorking Week 2004 Athens, Greece, May 22- 27

c) Yomralioglu T., Nisanci R., Yildirim V., (2007), An Implementation of Nominal Asset BasedLand Readjustment, Turkey

d) Muresan I.M, Haidu I., Imbroane A., Conceptual GIS model in determining market value for properties

e) Mathias L., Jaan K., (2000), INTEGRATING GIS WITH A LAND VALUATION INFORMATION SYSTEM: SOME NON-TECHNICAL CONSIDERATIONS FOR THE ESTONIAN CASE, Delft University of Technology, Department of Geodesy, The Netherlands, Estonian National Land Board, Estonia

f) Nisanci R., B Uzun B., Colak H. E., (2006), Optimization of Land Valuation Factors by GIS &SPSS, Turkey

g) http://1ropani.com/ (access date 8th april,2014)

h) http://resources.arcgis.com/en/help/ (access date 5th july, 2014)

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