A Methodology of Participative Socio-spatial Data Collecting for Urban Poor in Jakarta

Abstract

Programs specifically targeted to alleviate poverty in Jakarta are not effective due to the difficulty in achieving accurate baseline statistics and demographic data. No database or data collection method exists yet which is easily updatable, and properly represents the existing socio-spatial conditions. A participatory method of baseline data collection and management is needed as a bottom-up channel for targeted beneficiaries to be responsible in -collecting/ -inputting/ -viewing/ -updating their own data. In addition to increasing the program's effectiveness, participatory in data collection is designated for awareness in the communities. The rapid mapping technique is a combination of GPS (Global Positioning System), followed by an automated representation of settlement architecture / landscape visualization technique as an appending value. The above methodology will be used in three urban poor kampungs in Jakarta as study cases. This paper will provide qualitative descriptive analysis of how the participatory socio-spatial open-source data at the local scale can be a tool of engagement in critical dialogues such as; Disaster preparedness and response, spatial environmental planning, and housing programs at the city scale.