Finding an optimal area to move in using person criteria.

1. DECISION MAKER
YALIN YENE
R
November 29, 2020

2. Methodology
Results
Conclusions
Introduction
Future Work

3. Introduction Methodology Results Conclusions Future Work Appendix
3
Finding optimal location based on person criteria.
Business Need
Finding optimal borough and region to move in London based on person criteria
Scenario

4. Introduction Methodology Results Conclusions Future Work Appendix
4
Performing AHP method on London Borough Pro
fi
le
Performing GIS Based Multi Criteria Decision method on Open Streep Map
Solution

5. Introduction Methodology Results Conclusions Future Work Appendix
5
–Rosaria de F.S.M. Russo and Roberto Camanho / Procedia Computer Science
The Analytic Hierarchy Process (AHP) is a method of
“measurement through pairwise comparisons and relies on
the judgments of experts to derive priority scales”
GIS Based Multi Criteria Decision is a method of
“transforms spatial data into value, by prioritising spatial layer
and geographical rules ”

6. 6
Introduction Methodology Results Conclusions Future Work Appendix
DashboardImplement AHP
Data WranglingData Acquire
De
fi
ning criteria
sub-criteria
Comparison criteria
weighted
GIS Based Analysis

7. 7
Introduction Results Conclusions Future Work Appendix
Greater London Authority
• London Borough Pro
fi
le (csv)
UK Open Government Licence
OGL v2
Spatial Data
• Open Street Map
• Borough Border (Polygon)
• Rail Station (Point)
• School (Point)
• Police Station (Point)
• Leisure and Sport (Point)
Methodology
Data Acquire Tools
Data
Manipulation
Data
Visualization
Analytics
Platform
Thematic
Map

8. 8
Introduction Results Conclusions Future Work AppendixMethodology
Data Wrangling
row data
Insights
• Removing columns (unwanted)
• Removing special characters (£)
• Dealing missing value
• Renaming column names
• Converting column types (object to
fl
oat)

9. 9
Introduction Results Conclusions Future Work AppendixMethodology
Implement Model - AHP

10. 10
Introduction Results Conclusions Future Work AppendixMethodology
Implement Model - Criteria / Sub Criteria
Demography Diversity Labour Market Safety Housing
Environment Transport Children Health
Population
Inland Area (hectares)
Average Age
Propor of Pop. Age (0-15)
International Migration
% of Population Born Abroad
% of Largest Migrant Population
Main Language is Not English
New Migrant
Employment Rate
Household Income
% Adult Volunteered
Number of Jobs
Number of Business
Crime Rate
Fires / 1000 Population
Amb. Incident/ 100 Pop
House Price
Council Tax
New Homes
% of Area Greenspace
Total Carbon Emission
Waste Recycling Rate
Number of Cars
% of Adults Who Cycle
Public Transport Accessibility
Achievement of 5 or more at GCSE
Rates of Children Looked After
% of Pupils First Language is Not English
% Children Living in out-of-work
Male Life Expectancy
Female Life Expectancy
Life Satisfaction Score
Worthwhileness Score
Happiness Score
Anxiety Score
Mortality Rate
9 Criteria
37 Sub Criteria

11. 11
Introduction Results Conclusions Future Work AppendixMethodology
Implement Model - Resampling
min max Resample
-1
Resample
1
Population 159000 389600 389600 159000
Inland Area 1212 15013 1212 15013
Average Age 31.40 40.30 40.30 31.40
Proportion of Age 0-15 15.90 27.20 15.90 27.20
Net International
Migration
568 11182 11182 568
Camden
Actual
Camden
Resampled
242500 0.28
2179 -0.86
36.4 -0.12
17.3 -0.75
7504 -0.31
-1.76
-5 50
Camden

12. 12
Introduction Results Conclusions Future Work AppendixMethodology
Implement Model - Criteria Weighted

13. 13
Introduction Results Conclusions Future Work AppendixMethodology
Implement Model - Sample Calculation
Camden
Actual
Camden
Resample
d
Criteria
Weighted
Weighted
Result
242500 0.28 4.6% 0.01
2179 -0.86 26.4% -0.23
36.4 -0.12 9.8% -0.01
17.3 -0.75 15.5% -0.12
7504 -0.31 43.6% -0.14
-1.76
Population
Inland Area
Average Age
Proportion of Age 0-15
Net International
Migration
-0.49

14. 14
Introduction Results Conclusions Future Work AppendixMethodology
Visualisation - Heatmap for Demography

15. 15
Introduction Results Conclusions Future Work AppendixMethodology
Visualisation- Thematic Map for Demography Criteria

16. 16
Introduction Methodology Results Conclusions Future Work Appendix
Diversity Labour Market
Safety Housing

17. 17
Introduction Methodology Results Conclusions Future Work Appendix
Environment Transport
Children Health

18. 18
Introduction Methodology Results Conclusions Future Work Appendix
Criteria Weights
0.0
7.5
15.0
22.5
30.0
Demography Diversity Labour Market Safety Housing Environment Transport Children Health
20%22%
5.9%
11.2%
7.2%
23.9%
2.5%4.4%2.9%

19. 19
Introduction Methodology Results Future Work Appendix
Richmond upon Thames, Bromley and
Kingston upon Thames are most suitable
boroughs for moving in Outer London. Because of
metrics that shown below:
Safety
Children
Health
Wandsworth is most suitable borough for
moving in inner London. Because of
Safety (0.76)
Housing (0.78) metrics
Kensington and Chelsea is the second suitable
borough for moving in inner London Because of
Transport (0.74),
Health (0.96)
Children (0.65)
Conclusions

20. 20
Introduction Methodology Results Future Work AppendixConclusions

21. 21
Introduction Methodology Results Future Work AppendixConclusions

22. 22
Introduction Methodology Results Future Work AppendixConclusions
Rail Station

23. 23
Introduction Methodology Results Future Work AppendixConclusions
Rail Station
Police Station

24. 24
Introduction Methodology Results Future Work AppendixConclusions
Rail Station
Police Station
Leisure or Sport Centre

25. 25
Introduction Methodology Results Future Work AppendixConclusions
Rail Station
Police Station
Leisure or Sport Centre
School (Outstanding)
School (Good)

26. 26
Introduction Methodology Results Future Work AppendixConclusions
Rail Station

27. 27
Introduction Methodology Results Future Work AppendixConclusions
Rail Station
0.00 - 0.25 miles

28. 28
Introduction Methodology Results Future Work AppendixConclusions
Rail Station
0.25 - 0.50 miles

29. 29
Introduction Methodology Results Future Work AppendixConclusions
Rail Station
0.50 - 1.00 miles

30. 30
Introduction Methodology Results Future Work AppendixConclusions

31. 31
Introduction Methodology Results Future Work AppendixConclusions

32. 32
Introduction Methodology Results Future Work AppendixConclusions
Building

33. 33
Introduction Methodology Results Future Work AppendixConclusions
Building

34. 34
Introduction Methodology Results Future Work AppendixConclusions
95970

35. 35
Introduction Methodology Results Future Work AppendixConclusions
94
South
fi
elds
Putney
Earls
fi
eld

36. 36
Introduction Methodology Results Conclusions Future Work Appendix
This project can be extended further by;
• Developing GUI and Performing AHP and GIS Based Multi Criteria Decision
• Obtain additional data both pro
fi
le and spatial
• Number of crime types details
• Shopping Centre, Cafe, Pub etc.

37. THANK YOU
YALIN YENE
R
+44 7786 76155
9
yalinyener@gmail.com
https://github.com/yalinyener
https://medium.com/@yalinyener
https://www.linkedin.com/in/yalinyener