Abstract:
As UN-HABITAT highlighted urban squatting is one of the major issues that facing by
the developing countries. It is well known fact that tenure insecurity that results from
urban squatting hiders the economic progress of a country. It has predicted that the
issue of tenure insecurity become severe in coming decades. Urban squatting mainly
results from human-spatial relations govern by the market forces. However, expansion
of squatting cannot only be deducted to market forces, other socio-economic relations
associated with urban spaces such as inadequate land policies, mismanagement of
public lands and attitudes of people are also contributing to this end. This makes urban
squatting is a difficult issue to handle. Econometric models, however, the above human
relations have largely neglected and hence they lead for ineffective decision making.
Lack of understanding of the impacts of policy implication is another issue that face by
the policy makers. Therefore, understanding the total-element relations and their
dynamics within the context of urban land tenure is imperative for effective policy
implication. In the current study, a literature review has been conducted to identify the
socio-economic factors that are affecting on the expected benefits from land resources.
This has led to identify the major elements of land tenure security that can be
influenced by the human-spatial relations. Perceived uncertainty associated with
expected benefits from those elements, however, is determined through interaction of
three worlds, namely, world of social structure, world of perceptual structures and
world of cognitive structures, and are codetermined within large autopietic system.
Self-congruity theories, social structural theories, as well as cognitive science theories
were use to define an analytical framework for the above interactions. This framework
and the econometric model on utility of land tenure were then utilized to define an
agent-based simulation model for land tenure security-utility dynamic model. The
outcome of the model shows that total-element relations, sociometric, econometric,
and cognitive structures of agents are imperative for successful policy implication.
