Skip to main content

RESIDENTIAL ANALYSIS -
HOW DO LATENT ORDERS DETERMINE RESIDENTIAL DYNAMICS OF MINORITIES IN EAST-LONDON?

Final Report Summary - RESIDENTIAL ANALYSIS (RESIDENTIAL ANALYSIS - <br/>HOW DO LATENT ORDERS DETERMINE RESIDENTIAL DYNAMICS OF MINORITIES IN EAST-LONDON?)

A summary description of the project objectives
This study will recognize latent orders that determine residential dynamics of minorities, spotlighting in high resolution the role of group versus individual residential behaviour and investigate its effect with regards to Private and Community housing, focusing on the Bangladeshi Muslim community.
The main objective of this research is to recognize latent orders that determine residential dynamics of minorities, spotlighting in high resolution the role of group versus individual residential behaviour and investigates its effect with regards to Private and Community housing in sub-postcode E1.1 and E1.7 London. The research goals are to:
1. Evaluate the relations between individual’s identity, community needs and residential dynamics.
2. Characterize intercultural communication between Sub-groups at the individual building and city level.
3. Evaluate the dynamic processes marking the residential distribution of minorities as of 1995, both in Private and Community housing.
4. Examine the impact of cross-race/ethnicity variation and inter-sect relations on spatial distribution processes.
5. Examine the influence of individual-community and individual-leader relationships within the Bangladeshi Muslim community on residential choices and internal structure of residential areas.
6. Investigate Bangladeshi Muslim society territorial expansion mechanisms into “others” territories.

A description of the work performed since the beginning of the project (Please see Attached)
The detailed work plan is determined by the objective of the project and its sub-goals. By now, the project meets its practical arrangement and had been achieved its sub-goals. There were no critical problems, although alternative research directions were present in the course of the project. Mainly, the new conceptual model had developed, and the case of the undocumented minorities (which are 31% of the area population) was emphasized (attached).
The comprehensive approach allows investigation of the interaction between households and their environments,
the relationship between the attributes and behaviour of individuals and, conversely, the impact of social structure
on individual households and the global attributes of social groups. The research emphasizes the importance of indepth organization and complements the current methodology for understanding residential dynamics.

Goal (1-4m)
Explain the relations between individual’s identity, community needs and residential dynamics.
Deliverables
1. Finish literature research elaboration of the theoretical framework of the project (about 18 papers).
2. Analyse 150-170 in-depth Interviews: compare between stated and revealed preferences in the households level (p.1.2.4) by an empirical and facts oriented model of coherence, differences and hierarchical structures.
3. Establish formal rules of interaction between the individual householder and his sect/group.
4. Assess spatial interactions between individual householders and the group/sect by tables and time-space maps.
5. Produce spatial distribution’s maps for Sub Postcodes E1.1 and E1.7 (1995, 2000, 2006, and 2012) that reveal how sub-groups organize the space in a way that matches their needs.

Goal (4-6m)
Broaden the understanding of the impact of cross-race/ethnicity variation and inter-sect relations on the spatial distribution processes.
Deliverables
1. Reveal mechanisms of cooperation that are based on exploiting group-specific social codes
2. Define (mapping and stat. analysis) the mutual codes – those who serve the area’s residents – and the codes those operate at the level of the group alone.

Goal (8-12m)
Spotlighting in high resolution the role of group versus individual residential behaviour and investigates its effect with regards to Private and Community housing through more updated cutting edge methods and modelling.
Deliverables
1. Evaluate residential patterns by the correlation between sub-group and its density at Private and Community housing.
2. Evaluate the dynamic processes marking the residential distribution of minorities as of 1995, both at Private and Community housing.
3. Capture and manage digital social data, design and produce visual outputs of irregular high density in the individual apartment, building and the neighbourhood level
4. Analyse data about the Bangladeshi Muslim society territorial expansion mechanisms into “others” territories

Goal (13-16m)
Explain how the factors that stretching existing resources reinforce each other and affect the creation of multidimensional segregation.
Deliverables
1. Assess the impact of the “informal” users on urbanity with regards to Private and Community housing
2. Simulate residential patterns by assessing the difficulties of entering/living: Could this mechanism recognize when a group disintegrates and behave as individuals? Could this mechanism be used to measure levels of collectivism and individualism?

Goal (17-19)
Broaden the understanding of spatial mechanisms that occur in dense inner-city neighbourhoods shared by differing groups and religious communities.
Deliverables
1. Produce maps and measurements of the spatial groups’ processes by high-resolution and multidisciplinary tools such as design, capture, statistical analyse of the Socio-spatial referenced data.
2. Make comparisons between various groups enable the applicant to examine the ways enclaves are established, expand, and influence the city structure.
3. Implement simulations of residential dynamics to examine the spatial affect of latent orders that determine residential dynamics.

Goal (20-24)
Economic assessment of the impact of group forces on residential decisions.
Deliverables
1. Analyse data about the impact of group behaviour on spatial-cultural conflicts while addressing the economic factor.
2. Produce high resolution Study of these processes using GIS technologies and digital social science.

A description of the main results achieved so far
Characterize inter cultural communication between Sub-groups at the individual building and city level.
Reveal mechanisms that stretching resources at different levels.
Recognize latent orders that determine residential dynamics of minorities.
Modelling in high resolution the spatial interactions between households at the individual and group levels.

The expected final results and their potential impact and use
The importance of the project and the social and political impact the research’s results will offer many possibilities. The project is highly relevant for UK and other EU Countries, offers in-depth knowledge and expertise with the socio-economic impact of minorities on the spatial environment. As this project is relevance for the situation of other ethnic minorities in Europe, other groups may become interested in using the unique data or joining the research effort.
The research deepened links and collaborations with other high profile organizations, European councils and institutions on the basis of common interests. Expanding the spatial inquiry into aspects of poverty, competition over territory, security challenges and integration impacts on immigration policies, created publications and collaborations, further strengthen and deepen ties within Europe, LRFs, and Assoc. countries.
In particular, the project has the potential of creating links that could be maintained long beyond the lifetime of the proposed project, increasing the potential for future cooperation and mobility of future students and post-doctoral researchers between Poland and UK. The project could also advance the state of the art by trigger a chain reaction on the trend of multidisciplinary socio-spatial analysis, and becoming one of the most successful projects in the new science of smart cities. This will be perfectly in line with the ambition expressed by the member states of the EU, to become one of the most competitive knowledge-based economies in the world.