Resettlement programmes have been implemented by many governments and organisations to relocate people from the hazard areas to other safe places where they are expected to have normal or better lives. However, often the resettled communities face numerous difficulties while going through the relocation process and beyond. It appears that many social and humanitarian problems exists in most of the resettlement programmes (Menoni and Pesaro, 2008). It has been often found that the social, economic and humanitarian problems faced by resettlement communities are linked with the spatial aspects of the resettlement area (Dikmen, 2002; Corsellis and Vitale, 2005; Muggah, 2008). In order to mitigate the severity of those issues in conducting a potential resettlement programme, the information of vulnerable hazard communities must be prepared for the resettlement plan. However, the limitation of the data, i.e. spatial and non-spatial data, of the vulnerable hazard
communities plays an important role to delay the post-disaster reduction tasks. An attempt to obtain and develop the dataset potential for post-disaster risk reduction proceed with the resettlement programme requires a comprehensive statement of situations during the disaster occurrence in the hazard community. Therefore, this paper presents a technique identifying the relationships between spatial and nonspatial
data essential to the post-disaster risk reduction at the local scale. The obtain information
derives from the deep insight interviews of affected people regarding issues associated with spatial aspects in a disaster event. The explored issues regarding the interrelationship between socioeconomic issues and spatial conditions were presented in cognitive maps showing the complexity of those issues in a resettlement programme. As the outcome of the paper, it presents the developed spatail database for resettlement programmes in local communities vulnerable to debris-flow disasters. The explored result of this paper is expected to apply with the resettlement programme in order to prevent the misleading resettlement programmes and also accelerate the post-disaster risk reduction for vulnerable hazard communities effectively
