defense 2
TRANSCRIPT
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SPATIAL AND SOCIO-ECONOMIC
FACTORS:
Mutual Implications in Informal
Areas
By
Abdelbaseer A. Mohamed
Supervised By
Prof. Mohamed A. Salheen A. Prof. Marwa A. Khalifa
Prof. Johannes Hamhaber Prof. Christine Kohlert
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Introduction
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PROBLEM DEFINITION
Although located in strategic
and key economic locations,
many informal areas show signs
of social pathologies and slum
like conditions. The people
living in these informal areashave poor socio-economic
conditions and did not get a
significant benefit from their
vital locations on the long run.
Cairo’s Deprivation index (according to
UNDP, 2008).
This indicator was built as follows (UNDP Egypt, 2005;
2008; UNDP, 2010):
DI = [1/5 (P13 + P23 + P33 + P43 + P53) ]1/3
Where:
P1 = Probability at birth of no surviving to age 60
P2 = Adults lacking functional literacy skills
P3 = Rate of long-term unemployment
P4 = Population below income poverty lineP5 = Gap in living standards
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Questions
One key question that has no simple answer is examined:
• What is the relationship between the socio-economic segregation of a settlement and
its overall spatial Configuration?
And sub questions are:
•What are the forces that influenced the spatial development of Cairo through history?And to what extent such forces contribute to Cairo’s spatial division?
• To what extent are deprived areas spatially integrated at a neighborhood as well as city
level?
• Is the distribution and rates of commercial activities within informal settlements
mainly driven by the spatial composition of the area itself? Or is it more related to the
overall structure of the city?
• To what extent do the locals assimilate into their neighborhood and the city as a
whole?
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The Approach
One day, Churchill said: “First we shape our
buildings; thereafter they shape us.”
Spatialconfiguration
State
Profession
Society
- Informal approaches
and strategies
- Urban approaches
and architectural
movements
- Development
strategies
- Politics
- Housing policies
- Building regulations
- Social structure
- Economy
- Religion
- Ethnicity
Behavioral and
Social
Interaction
Patterns
- Urban form
- Land use
- Density- Legibility
- Directions of urban
growth
- Compactness
- Urban quality
- Social solidarity
- Safety
- Social network
- Pedestrian
movement
- Activities
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The First Muslim Settlements Fatimid Cairo
Ayubbids Mamluk Khedivial Cairo
Major Planning
Transformations
Historical Background of PlanningPractices in Cairo
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1999-2013 (according to NASA Landsat)On desert land
On Agricultural land
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Ain Shams UniversityA Mohamed, A.
1517 1744Angular global Integration of Cairo
Mini: 0.3558
Maxi: 1.1964
Mean: 0.7341
Mini: 0.3352
Maxi: 1.0679
Mean: 0.6945
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Ain Shams UniversityA Mohamed, A.
1809 1888Angular global Integration of Cairo
Mini: 0.2505
Maxi: 0.9144Mean: 0.5414
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Ain Shams UniversityA Mohamed, A.
Old city 1900-1920
Khedivial Cairo
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Ain Shams UniversityA Mohamed, A.
1920 Angular global Integration of Cairo
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Ain Shams UniversityA Mohamed, A.
1958
Angular global Integration of Cairo
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Ain Shams UniversityA Mohamed, A.
Morphological Analyses
Angular global Integration of Cairo 2012
• The model highlights
the significance of the
west-east corridor.
• The green and blue
patches of segregated
settlements correspond
with the location of
informal and deteriorated
areas.
• These patches show
large fragmentations of
the city.
Manshiet Nasser
The Formal City versus Informal Settlements
Nasr City
Mohandseen
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12
3
4
56
1 Mohamed Ali St.
2 El-Sikka El-Gedida St.
3 Al-Muiz St.
4 Oraby St.
5 Abdel-Khaliq Tharwat St.
6 Sherif Pasha St.
Mini: 0.2875
Maxi: 1.2602
Mean: 0.7975
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Ain Shams UniversityA Mohamed, A.
1
Cemeteries
2
3
4
5
6
1 Ramsis St.
2 Shubra
3 Zamalek
4 Garden City
5 Rawdah
6 Heliopolis
Mini: 0.3887
Maxi: 1.4303
Mean: 0.8786
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Ain Shams UniversityA Mohamed, A.
1
Mini: 0.4035
Maxi: 1.6773
Mean: 1.0023
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Ain Shams UniversityA Mohamed, A.
1
2
3
4
5
1 Ramsis
2 Ahmed Helmy St.
3 26th of July
4 Al-Tahrir
5 Abdin
Mohandseen
Cemeteries
Mini: 0.3185
Maxi: 1.4212
Mean: 0.8616
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Angular global Integration of Cairo
2012
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Morphological Analyses
Integration R1200 Integration R800
• Informal areas have dense internal spatial structure, which tends to form a
polarized pattern that stands alone in isolation from the surrounding areas.
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Ain Shams UniversityA Mohamed, A.
Integration at radius 400 meters
Mini: 2.0645
Maxi: 2304
Mean: 126.821
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Ain Shams UniversityA Mohamed, A.
Angular choice Rn
1744
Mini: 0.0
Maxi: 1.5649
Mean: 0.5186
Mini: 0.0
Maxi: 1.6066
Mean: 0.5313
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Ain Shams UniversityA Mohamed, A.
Angular choice Rn
1809 1888
Mini: 0.0
Maxi: 1.5621
Mean: 0.8441Mini: 0.0
Maxi: 1.5731
Mean: 0.4304
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Ain Shams UniversityA Mohamed, A.
Angular choice Rn
Mini: 0.0Maxi: 1.5816
Mean: 0.8472
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Ain Shams UniversityA Mohamed, A.
Mini: 0.0
Maxi: 1.6446
Mean: 0.8958
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Ain Shams UniversityA Mohamed, A.
Angular choice Rn
Mini: 0.0
Maxi: 1.6018
Mean: 0.8752
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Ain Shams UniversityA Mohamed, A.
Mini: 0.0
Maxi: 1.5576
Mean: 0.6384
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Ain Shams UniversityA Mohamed, A.
• No morphological
difference can be
detected between formal
and informal settlements
• Many informal areas
are located along one or
more definable edges,
which tend to be
highways.
The Formal City versus Informal Settlements
Angular global Choice Rn (Log(Ch+2))
Ring roadAl-Nasr St.
Cairo-Suez Rd.
Cairo-Ismailia Rd.
Ring road
Cairo-Ismailia Agricultural Rd.
Ezbet Bekhit
Ezbet Al-Nasr
Abu Qatada
Shubra
Al-Kheima
Al-Marg
Ezbet
Al-Haggana
Boulaq
Al-Dakrour
Al-Omrania
Al-Bsateen
Manshiet
Nasser
Imbaba
Mini: 0.3010
Maxi: 10.3561
Mean: 4.4513
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Ain Shams UniversityA Mohamed, A.
Angular Choice R1200m
Mini: 0.3010
Maxi: 6.7229
Mean: 2.9232
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Ain Shams UniversityA Mohamed, A.
Angular Choice R800m
Mini: 0.3010
Maxi: 6.2942
Mean: 2.6806
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Ain Shams UniversityA Mohamed, A.
Angular Choice R400m
Mini: 0.3010
Maxi: 6.2942
Mean: 2.6806
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Ain Shams UniversityA Mohamed, A.
Angular integration R1200
Mini: 4.9762
Maxi: 2461.41
Mean: 530.432
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Ain Shams UniversityA Mohamed, A.
Angular integration R800
Mini: 4.4308
Maxi: 1364.91
Mean: 310.234
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Ain Shams UniversityA Mohamed, A.
Angular integration R500
Mini: 2.0645
Maxi: 2304
Mean: 126.821
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Ain Shams UniversityA Mohamed, A.
Top 10% shortest paths in Cairo metropolitan area overlapped
with the location of informal and deteriorated areas (black
zones).
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Ain Shams UniversityA Mohamed, A.
Mini: 0.3010
Maxi: 6.2942
Mean: 2.680
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Ain Shams UniversityA Mohamed, A.
Morphological AnalysesThe Most Integrated Areas
1517 1744 1809
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Ain Shams UniversityA Mohamed, A.
Morphological AnalysesThe Most Integrated Areas
1888 1920
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Ain Shams UniversityA Mohamed, A.
Morphological AnalysesThe Most Integrated Areas
1958
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Ain Shams UniversityA Mohamed, A.
Morphological Analyses
Angular Segment Analysis
showing the 10% most
integrated lines of the
study area.
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Ain Shams UniversityA Mohamed, A.
Deprivation Index (DI) per
neighbourhood Angular Global Integration Rn per
neighbourhood
The relationship of socio-economic and
spatial variables
This indicator was built as follows (UNDP Egypt, 2005; 2008; UNDP, 2010):
DI = [1/5 (P13 + P23 + P33 + P43 + P53) ]1/3
Where:
P1 = Probability at birth of no surviving to age 60
P2 = Adults lacking functional literacy skills
P3 = Rate of long-term unemployment
P4 = Population below income poverty line
P5 = Gap in living standards
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Ain Shams UniversityA Mohamed, A.
Correlating social and spatial factors
R = -0.3356 p<.0001**
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Ain Shams UniversityA Mohamed, A.
R = -0.4822 p<.0001**
Excluding neighbourhoods comprising districts of Boulaq (blue),
Maadi (green) and Al-Nozha (red)
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MovementConfiguration
Activity
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Pedestrian movement observed on a weekday overlapped with angular integration
Rn
Movement Observation
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Movement Pattern Analyses
Space-People Analysis – Ezbet Bekhit
Movement pattern Movement pattern
R R2 p-value R R2 p-value
Integration
Rn
0.7984** 0.6375 0.0056 Choice Rn 0.6618* 0.4379 0.0371
IntegrationR2000m
0.7952
**
0.6324 0.0060 ChoiceR2000m
0.7513
*
0.5645 0.0122
Integration
R1200m
0.8389** 0.7037 0.0024 Choice
R1200m
0.6508* 0.4233 0.0416
Integration
R800m
0.8044** 0.6470 0.0050 Choice R800m 0.5551 0.3082 0.0957
Integration
R400m
0.6944* 0.4822 0.0259 Choice R400m 0.5551 0.3082 0.0957
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
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Pedestrian movement observed on a weekday overlapped with angular integration R800 m.
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Space-People Analysis – Ezbet Al-Nasr
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
To-Movement Movement pattern Through-
Movement
Movement pattern
R R2 p-value R R2 p-value
IntegrationRn 0.2457 0.0604 0.4938 Choice Rn 0.4790 0.2294 0.1613
Integration
R2000m
0.4739 0.2246 0.1664 Choice R2000m 0.6063 0.3676 0.0631
Integration
R1200m
0.5698 0.3247 0.0855 Choice R1200m 0.6421* 0.4122 0.0453
Integration
R800m
0.6514* 0.4243 0.0413 Choice R800m 0.6679* 0.4461 0.0348
Integration
R400m
0.6743* 0.4547 0.0325 Choice R400m 0.6679* .4461 0.0348
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Pedestrian movement observed on a weekday overlapped with angular integration Rn
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Space-People Analysis – Abu Qatada
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
Movement pattern Movement pattern
R R2 p-value R R2 p-value
IntegrationRn 0.6454* 0.4165 0.0439 Choice Rn 0.5219 0.2724 0.1218
Integration
R2000m
0.7009* 0.4912 0.0240 Choice R2000m 0.5135 0.2637 0.1290
Integration
R1200m
0.6646* 0.4417 0.0360 Choice R1200m 0.4766 0.2271 0.1638
Integration
R800m
0.2570 0.0660 0.4736 Choice R800m 0.4364 0.1905 0.2073
Integration
R400m
0.1583 0.0251 0.6623 Choice R400m 0.4364 0.1905 0.2073
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The Correlation Between Commercial Rate and Spatial Parameters
Angular Choice R2000 m
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The Correlation Between Commercial Rate and Spatial Parameters
Angular Choice R2000 m
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The Correlation Between
Commercial Rate and
Spatial Parameters
Angular Choice R2000 m
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The relationship between the true commercial ratios and the local
and global choices in the case study areas
The Correlation Between Commercial Rate and Spatial Parameters
True commercial ratio
R Square Correlation P-value
Ezbet Al-Nasr
Choice Rn 0.2385 0.4884* 0.0397
Choice R2000 0.2453 0.4953* 0.0366
Choice R1200 0.3050 0.5523* 0.0175
Choice R800 0.2348 0.4846* 0.0415
Abu Qatada
Choice Rn 0.5251 0.7246** 0.0002
Choice R2000 0.5329 0.7300** 0.0002
Choice R1200 0.3847 0.6202** 0.0027
Choice R800 0.2964 0.5444* 0.0107
Ezbet Bekhit
Choice Rn 0.0069 0.08311 0.7872
Choice R2000 0.007995 0.089413 0.7714
Choice R1200 0.00067 -0.02588 0.9331
Choice R800 0.000675 -0.02599 0.9328
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The Correlation Between Commercial Rate and Spatial Parameters
Ezbet Bekhit Ezbet Al-Nasr Abu Qatada
Top 10% (Choi ce 2000m)
Com.
31.768 13.6824 15.1515
Top 20% (Choi ce 2000m)
Com.
56.630 38.5135 37.1901
Top 30% (Choi ce 2000m)
Com.
73.204 56.0811 61.5702
0
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% o
f c o m m e r c i a l b u i l d i n g s
0 10 20 30 40 50 60 70 80 90 100
% of lowest accessibility buildings
Overlay Plot
0
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% o
f c o m m e r c i a l b u i l d i n g s
0 10 20 30 40 50 60 70 80 90 100
% of lowest accessibili ty buildings
Overlay Plot
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% o
f c o m m e r c i a l b u i l d i n g s
0 10 20 30 40 50 60 70 80 90 100
% of lowest accessibility buildings
Overlay Plot
The Lorenz curve of commercial activity distribution amongst all the plots in Ezbet Bekhit (left), Ezbet Al-Nasr
(middle) and Abu Qatada (right) based on the rank of spatial accessibility rank
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Survey Form
Basic information /socio-economic characteristics
( gender, age, origin, marital status, education, occupation, workplace,length of residence)
House Data ( tenure, no. of rooms, unit size)
External social network (friends outside the area, distance, frequency
of visit)
Sense of Communi ty
• Social connections (acquaintances within the neighborhood and
within urban block, frequency of visit)
• Mutual Concerns (caring about the neighborhood, the nature of the
relationship between neighbors, co-dependence, degree of support)
Reasons of Clustering
Problems and advantages of living in informal areas.
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Socio-economic Profile Ezbet Bekhit
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Socio-economic Profile Ezbet Al-Nasr
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Socio-economic Profile Abu Qatada
The greatest proportion of respondents is immigrants from
Upper Egypt and Delta governorates. However, most of
them were born in Cairo.
Illiteracy and unemployment rate s are relatively high.
The majority of inhabitants are self-employed in informal
sector of economy.
Their workplaces either in the ground floors of their
dwellings or at a walkable distance from there.
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Social Ties and sense of community
When asked about the social class of their external close friends, the majority of
respondents indicated that they belong to the same social class. On the other
hand, new residents and educated people showed less assimilation with the
hosting communities and stated that they have more external relations than
internal.
The spatially segregated disadvantaged areas were also socially excluded in
terms of social network and socio-economic profile.
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Social Ties and sense of community
• Variables of gender, origin, length of residency and ownership are noticed to
influence number of acquaintances, feeling of safety and sense of community.
• Males are more likely to know more people and to have higher feeling of safety
than females.
• Owners and long duration residents have stronger internal social ties and more
numbers of acquaintances than new law tenants and new dwellers.
• Education correlated positively with the inhabitants'' wish to leave. This means
that there will be a lack in more skilled people upon the time.
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Forces of Change:Poverty, migration,rapid urbanisation
Spatial Conditions:physical segregation,
insufficient movementnetwork, degradation,
densification
Socio-economicconditions: social
exclusion,deprivation
The Vicious circle of urban decline
Forces of Change:regeneration,intervention,investment
Spatial Conditions:
integration,development
Socio-economicconditions:
consolidation,improvement,viability
The Hypothetic virtuous circle of
urban regeneration
07.1 Review of Principal Findings
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Review of Principal Findings
• Random urban development has disrupted the overall continuity of the urban form. It
has absorbed core villages and suburbs and treated different parts of the city asisolated objects.
• Pushing poor people to the periphery has brought about a mushrooming of vacant
and underused lands in the urban core.
• Analyzing the spatial accessibility of Cairo shows that many informal areas are wholly
divorced from their wider urban context.
• Physical segregation denies people their basic right to the city, but it also starves the
city of its lifeblood and tears apart its social fabric.
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Review of Principal Findings
• Urban areas, as they grow, develop two types of structure: an internal – or
local – structure, which facilitates the local functioning of the area; and an
external – or global ‐ structure, which enables them to interact productively
and efficiently with the rest of the city (Hillier, 1996, pp. 343–4).
• The findings of this thesis contribute to support the theory of the naturalmovement economic process.
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Realms of Contribution
Methodological Aspects
The building of an approach to study the relationship between space and socio-
economic processes in informal areas in Cairo is important contribution. At city scale,
it unifies various insights and methodologies from sociological, economic, geographic
and urban planning theories and approach into a holistic approach for better
understanding of mutual relations between space and society.
At a settlement scale, the research endeavored to link insights from urban and
economic perspectives.
Normalizing the commercial rate in the settlements, through using banding method, as
well as employing the ‘Gini Coefficientʼ provide reliable tools for investigating the
relationship between spatial parameters and land use distribution.
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Realms of Contribution
Policy Aspects
• Location of informal settlements should be connected to movement thoroughfares.
• Sub-centers of informal areas should be linked with each other within the wider urban
context in order to not only transport income from formal areas but also to restore
urban livability of the metropolitan.
• Urban land use should generally be planned on the basis of spatial accessibility that
minimizes time consuming travels and maximizes economic gain and socialinteractions.
• Identifying physical barriers and gaps should be seen as a first step in the process of
urban restructuring. Those not local to an area will surely be encouraged to use it more
were these barriers to be removed. Improving connectivity in this way is likely to
generate new movement patterns that will draw in new economies, stimulate
investment and so stimulate the “virtuous cycle” of regeneration.
• Integrating configurative approach and, social and economic thinking into master
planning and design decisions will facilitate creating the right balance between
physical and social systems and this in turn will enhance a better wellbeing and
quality of life.
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THANK YOU
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Normalised angular Integration Rn
Mini: 0.3720
Maxi: 0.9225
Mean: 1.3666
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