Open AccessDistribution Mapping and Typology of Slum Area Based on Spatial Autocorrelations in Padang City
Author(s) -
Risky Ramadhan,
Azhari Syarief
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1940/1/012080
Subject(s) - slum , typology , geography , socioeconomics , distribution (mathematics) , local government , population , spatial analysis , government (linguistics) , demography , sociology , mathematics , mathematical analysis , remote sensing , archaeology , linguistics , philosophy
The high population development of Padang City is faced with limited land for areas and its infrastructure, resulting in a dense and slum-prone environmental condition of the City. The Central Government, together with the Padang City Government, held a program aimed at rehabilitating slum areas with the KOTAKU (Kota Tanpa Kumuh) program. This policy needs to be evaluated with the identity of the distribution and typology of slum areas to see changes in the slum area spatially. This study aims to identify the distribution of slum areas and describe slum areas’ typology using spatial autocorrelation in the City of Padang. Based on the survey results, slum areas were identified in 45 (forty-five) well-known subdistrict in 11 districts with a total area of 129.16 hectares of slum areas. There are 8,282 households in slum identified areas in the City of Padang. The spatial typology of slum areas resulted in a p-value of 0.061, a z-score of 1.867, and a moran index of 0.095 with a clustered pattern. The influence of spatial dependence is presented by the distribution of Moran and sub-district in the City of Padang’s urban fringe area. This condition is supported by a result of the concentration of activities at the core of the Padang City sub-district, causing it to not develop in the urban fringes area.