Improving the Slum Planning Through Geospatial Decision Support System

Abstract

ABSTRACT:In India, a number of schemes and programmes have been launched from time to time in order to promote integrated city development and to enable the slum dwellers to gain access to the basic services. Despite the use of geospatial technologies in planning, the local, state and central governments have only been partially successful in dealing with these problems. The study on existing policies and programmes also proved that when the government is the sole provider or mediator, GIS can become a tool of coercion rather than participatory decision-making. It has also been observed that local level administrators who have adopted Geospatial technology for local planning continue to base decision-making on existing political processes. In this juncture, geospatial decision support system (GSDSS) can provide a framework for integrating database management systems with analytical models, graphical display, tabular reporting capabilities and the expert knowledge of decision makers. This assists decision-makers to generate and evaluate alternative solutions to spatial problems. During this process, decision-makers undertake a process of decision research -producing a large number of possible decision alternatives and provide opportunities to involve the community in decision making. The objective is to help decision makers and planners to find solutions through a quantitative spatial evaluation and verification process. The study investigates the options for slum development in a formal framework of RAY (Rajiv Awas Yojana), an ambitious program of Indian Government for slum development. The software modules for realizing the GSDSS were developed using the ArcGIS and Community -VIZ software for Gulbarga city.

Slums from Space—15 Years of Slum Mapping Using Remote Sensing

“…While development dynamics of slums at the city scale are of particular interest for local planning and decision support [10,126], only a few studies have focused on temporal slum dynamics (when) (e.g., [10]). This could be related to challenges extracting these dynamics, in particular in terms of data availability and obtaining local knowledge.…”

Statistical analysis of land surface temperature–vegetation indexes relationship through thermal remote sensing

“…The distinguished climatic condition termed 'Urban Heat Island' (UHI) is developing in the rapidly urbanized cities (Wei et al, 2008). Kalaburagi (formerly Gulbarga) city of Karnataka is experiencing rapid urbanization that has resulted in remarkable UHI (Kumar, 2015;Shekhar, 2014). Understanding the distribution of Land Surface Temperature (LST) and its spatial variation will be helpful to decipher its mechanism and find out possible solution (Morgan et al, 1995).…”

Spatial patterns of deprivation in cities of the global south in very high resolution imagery

“…While development dynamics of slums at the city scale are of particular interest for local planning and decision support Shekhar, 2014), only a few studies have focused on temporal slum dynamics (when) (e.g., . This could be related to challenges extracting these dynamics, in particular in terms of data availability and obtaining local knowledge.…”