The Role of Spatial Analysis in Resettlement Programmes

RICS, COBRA 2010, London, 2010

Pantip Piyatadsananon, Dilanthi Amaratunga, and Kaushal Keraminiyage

“Number of victims from the disaster has been dramatically increasing around the world. This
phenomenon causes a very high demand of emergency and temporary shelters on particular basis
including the need of permanent houses in resettlement programmes. Noticeably, those resettlement
programmes have shown the success and failure of their activities. For instance, plenty communities
have been forced by governments to abandon their lands to the new locations for safety purpose.
Inevitably, many suffered people have to stay in the provided areas because they have no place to go
(Gall, 2004). Furthermore, there are abundant cases in which people move back to their original land.
Certainly, those failures have shown from the total change of life patterns and styles which cause
people many difficulties (Dikmen, 2002). These results show the unsuccessful resettlement
programmes which require a better solution. According to the previous works, vulnerable hazard areas
have been rarely studied in term of people behaviours correlated between the spatial and social
aspects. Based on the resettlement paradigm, building a new settlement site better, safer and suitable
for suffered people from disaster, traditional lifestyle of people in communities has to be carefully
studied before setting a displacement or resettlement plan. Spatial analysis model with employing
several scenes of high-resolution images is an effective tool proposed in this study. The applications
of spatial analysis techniques in resettlement programmes are introduced to present a crucial
integration between human behaviours in hazard areas and the relevant factors. Prescriptive method is
employed to describe the current situations due to the advantage of this method in studying the
complexity of human behaviours. This study is an initial part of literature review associated with the
application of spatial analysis in resettlement programme. An expected outcome of this study is a
framework to develop a model for simulating the human interaction between the spatial and nonspatial
parameters. Apart from this study, the designed spatial and non-spatial database in geoinformatics
will be suggested to set some factor criteria in the next step of this study. Eventually, this
study will be beneficial to other case studies with the similar contexts.”

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