The project considers the problem of urban planning by finding a suitable alternative for the development by considering basic criteria. It uses an artificial intelligence approach of the Fuzzy Analytical Hierarchy Process (FAHP) integrated with Geographical Information Systems (GISs) for planning urban areas. Four land pieces were considered to develop four different infrastructures.

1. BITS Pilani
Pilani Campus
CEF431PRINCIPLES OF GEOGRAPHICALSYSTEM:
LAND USE MANAGEMENT USING GISAND MCDM
METHODS
KUNALSAHU 2019H1440622P
SNIGDHASRIVASTAV 2019H1440112P
RISHABH GARG 2019H1440156P
SHUBHAM KUSHAWAR 2019H1440159P

2. BITSPilani, Pilani Campus
Introduction
29-05-2021 2
 Background
• Global trend of urban population growth is observed as a result of urbanization.
• As a result there is a rapid change in spatial pattern of urban areas.
• Lack of planning may result in unplanned expansion of land.
 Scope
• To overcome the problem of unplanned expansion, use of GIS with MCDM technique is proposed.
 Problem Definition
• The main objective of this project is to find the best suitable infrastructure for selected locations near the city
considering the main influencing factors for the development using Multi-Criteria decision-making methods

3. BITSPilani, Pilani Campus
Literature
29-05-2021 3
 Sener et.al (2010), in his paper “Combining AHP with GIS for landfill site selection: A case study in the Lake Beyşehir catchment area (Konya,
Turkey)” talks about use of AHP with GIS to select a suitable landfill site. The landfill site should be selected such that the lake is protected. Lake
Beyşehir is the largest fresh water lake in Turkey, but there is no controlled landfill site in this region. Author have considered various criteria such
as geology/hydrogeology, land use, slope, height, aspect and distance from settlements, surface waters, road, protected area. Each of the criterion is
evaluated using AHP and mapped using GIS. Data classification is done in four suitability classes within the study area i.e. high, moderate, low and
very low. After analysis two landfill sites are suggested and discussed. Final land site will be selected on basis of detailed field studies.
 Iranshahr, Iran by M Torabi-Kaveh, R Babazadeh, SD Mohammadi and M Zaresefat (2006), in his paper “Landfill site selection using combination
of GIS and fuzzy AHP, a case study: Iranshahr, Iran” talks about the use of a multi-criteria decision analysis (MCDA) process, which combines
geographic information system (GIS) analysis with a fuzzy analytical hierarchy process (FAHP), to determine suitable sites for landfill construction
in Iranshahr County, Iran. The GIS was used to calculate and classify selected criteria and FAHP was used to assess the criteria weights based on
their effectiveness on selection of potential landfill sites. ArcGIS spatial analyst was applied for preparing maps of the criteria, and each criterion
map was converted into ESRI grid format using weight values obtained from FAHP. At the end it was proposed that the results of the analysis
should be compared with field studies in order to select the most suitable sites for landfill construction.

4. BITSPilani, Pilani Campus
Methodology
29-05-2021 4
• Nagpur (21.1458° N, 79.0882° E) is chosen as study area. It is the third most important city in Maharashtra after
Mumbai and Pune.
• The main city is not well planned but as the city comes under the proposed smart city, the development authority
has many plans for the improvement of the nearby regions.
• The best possible land use pattern for the selected locations are found using multi criteria decision making tool
AHP with the help of GIS software.
• Here GIS analysis is used to project the data in the study area and hence analyzing to provide relative weights to
the criteria and alternatives.
• The Expert Choice software is used to carry out the AHP process which is a user friendly software which does the
ranking accurately calculating consistency index alongside the process in very less time.

5. BITSPilani, Pilani Campus
Data
29-05-2021 5
Criteria Features Studied
Social Facilities Hospitals
Schools and Colleges
Hotels and Restaurants
Cinema Halls
Leisure Activity Centre and Sports Centre
Connectivity Bus Stop
Railways
Roads
Geology and Hydrology Elevation
Vegetation Index
Waste Lands
Ground Water Level
Land Use Land Cover
Population Density
Industrial Area

6. Results and Discussions

7. BITSPilani, Pilani Campus
Results and Discussions
29-05-2021 7
1. Ranking of criteria
2. Alternative for location-1
3. Alternative for location-2
4. Alternative for location-3
5. Alternative for location-4

8. Conclusion
29-05-2021
After analysing using GIS and AHP following conclusion is made
Location Infrastructure
Location 1 MIHAN Development
Location 2 Residential Structure
Location 3 Metro Depot & IT Hub
Location 4 Industrial Area

9. BITSPilani, Pilani Campus
Conclusion
29-05-2021 9
MIHAN
Residential Area Industrial Area
Metro Depot
IT Hub

10. References
1.Daniel Z.Sui, “A Fuzzy GIS Modelling Approach for Urban Land Evaluation,” Journal of Comput.,Environ. and Urban
Systems, Vol. 16. pp. 101-115, 1992.
2.C.N.Mundia and M.Aniya, “Analysis of land use/cover changes and urban expansion of Nairobi city using remote sensing and
GIS,” International Journal of Remote Sensing.
3.Amit M.Deshmukh and Vinayak S.Adane,“ Impact of Market Oriented Urban Development on Neighbourhood Level
Infrastructure: The Case of Nagpur, India,” International Journal of Innovative Research in Science, Engineering and
Technology, Vol.6, Issue 9.
4.Rajashree Kotharkar, Pankaj Bahadure and Neha Sarda, “Measuring Compact Urban Form: A Case of Nagpur City, India,”
Sustainability, ISSN 2071-1050.
5.Ward Rauws (2017) Embracing Uncertainty Without Abandoning Planning, disP - The Planning Review, 53:1, 32-45, DOI:
10.1080/02513625.2017.1316539
6. Şehnaz Şener, Erhan Şener, Bilgehan Nas, Remzi Karagűzel, “Combining AHP with GIS for landfill site selection: A case
study in the Lake Beyşehir catchment area (Konya, Turkey),” Waste Management, Vol.30, Issue 11