Identification and Prediction of Community Deprivation
2014
Nam, Kwang-u | Cho, Eui Soo | Kwon, Il Hwa | Yang, Jung-Hun
This paper proposes a framework for identifying and predicting community deprivation, which includes the system of management and analysis. The management system focuses on the query modules for data analysis, such as geographic area, administrative region, and unit of measurement. The query module for geographic area addresses income, employment, health and disability, living conditions, and housing. The query module for administrative region focuses on levels of organization, such as district, dong, and tong in Korea. The query module for unit of measurement covers the values, rankings, and deciles used to present the data. The analytic system plays a key role in identifying and predicting deprivation. The identification process consists of two calculations: the area index and the index of multi-deprivation. The area index involves the allocation of weights, the calculation of ranks, and the transformation of the index distribution through factor analysis. The second step involves obtaining the area index, rankings, and geographic distribution of indices using the weights employed by the 2004 index of multi-deprivation in the UK. The community index of multi-deprivation is finally calculated after weighting the values for each area. The results of this study should help decision makers and planner actively respond to changes by identifying turning points in the growth and decline of communities.
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