Abstract As urbanization grows, we may expect that slums will tend to grow even faster. Kalaburagi is a second tier city and an important commercial hub for the Hyderabad-Karnataka region located in the north eastern part of Karnataka state. It attracts the rural folk from neighbouring districts and the city is undergoing rapid changes in terms of population growth as well as in the degree of urbanization due to which the slum population is increasing. There are 60 slums that account for 11% of city's population. This study aims to contribute some sustainable methodologies for better execution of slum development programs to advance the living conditions of slum dwellers. Slum ontology has been built to identify slums from very high-resolution satellite data that will benefit all stakeholders. The developed ontology was validated with field survey and the help of field photographs, the physical and socio-economic conditions were documented. As per the slum ontology, basic inputs for the Cellular Automata (CA) model were identified and criteria maps with scores were generated. The suitability map was created by giving appropriate weight to the factors. When the slum map prepared based on slum ontology was overlaid on the final results, the CA model output has given reliable results regarding current slum distribution and also a hint of the possible occurrence of slums in the future. Since the proposed land use plan for 2021 has been finalized by the Urban Local Body (ULB), the suitable area for developing affordable housing stock was suggested for preventing slums from arising. The Spatial Decision Support System (SDSS) was built for selecting slum development options. The design and running of the SDSS model were demonstrated with one case study – Borabai nagar slum to enable the ULB to apply the approach to other slum areas for effective implementation of slum development programs.

中文翻译：

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贫民窟的有效管理——以印度卡纳塔克邦卡拉布拉吉市为例

摘要 随着城市化进程的推进，我们可以预期贫民窟的增长速度会更快。卡拉布拉吉是位于卡纳塔克邦东北部的海得拉巴-卡纳塔克邦地区的二线城市和重要的商业中心。它吸引了来自邻近地区的农村居民，并且由于贫民窟人口的增加，城市在人口增长和城市化程度方面正在发生快速变化。有60个贫民窟，占全市人口的11%。本研究旨在为更好地执行贫民窟发展计划以改善贫民窟居民的生活条件提供一些可持续的方法。贫民窟本体旨在从非常高分辨率的卫星数据中识别贫民窟，这将使所有利益相关者受益。开发的本体通过实地调查和实地照片的帮助进行验证，记录了物理和社会经济条件。根据贫民窟本体论，确定了元胞自动机 (CA) 模型的基本输入，并生成了带有分数的标准图。适宜性图是通过对因素赋予适当的权重来创建的。当基于贫民窟本体准备的贫民窟地图叠加在最终结果上时，CA模型输出给出了关于当前贫民窟分布的可靠结果，也暗示了未来可能出现的贫民窟。由于 2021 年拟议的土地使用计划已由城市地方机构 (ULB) 完成，因此建议开发经济适用房的合适区域以防止出现贫民窟。空间决策支持系统 (SDSS) 是为选择贫民窟开发方案而构建的。SDSS 模型的设计和运行通过一个案例研究——Borabai nagar 贫民窟进行了展示，使 ULB 能够将该方法应用于其他贫民窟地区，以有效实施贫民窟发展计划。