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Spatial Inequalities in Bengaluru
Sustainable Cities
IIHS

THE CHALLENGE

Research on inequalities within Indian cities is constrained by the lack of spatial data at adequate resolution. The Census of India, while providing information on households and populations across a wide range of variables, does not provide data at spatial resolutions below the scale of a ward. But wards are highly heterogeneous entities and ward level data can provide a very misleading picture of the inequalities which exist at the neighbourhood scale. The first part of this project will develop new methods for fine scale analysis of socio-economic inequalities within Bengaluru.

Bengaluru faces multiple challenges on the water management front. Its piped water supply system is inadequate in terms of network coverage and quantity of supply. Among neighbourhoods which are connected to the water supply network, there is considerable variation in volume and frequency of water supply. As a result, the city relies on groundwater for more than half its water use. Meanwhile, rapid urban growth, which ignored the realities of local hydrology, has led to the disruption of the natural drainage channels and the lake system of the city. This in turn has made many parts of the city vulnerable to flooding. The second part of this project will focus on understanding various types of water related inequalities in Bengaluru. 

OUR APPROACH

We will develop a method for statistically downscaling ward level Census data to the resolution of 30mX30m raster cells. Based on existing research, we hypothesize that neighbourhoods with similar physical characteristics tend to have households with similar socio-economic characteristics. We will use a combination of earth observation data and infrastructure and land use data to analyse the physical characteristics of neighbourhoods. The census data downscaling will rely on this neighbourhood scale analysis of physical characteristics. This downscaled data will form the basis for the spatial analysis of socio-economic inequalities across Bengaluru. 

In the second part of the research, we will use this downscaled census data in combination with other datasets and qualitative research to explore various issues related to urban water supply and urban hydrology in Bengaluru. This will enable us to answer questions about access to piped water supply and groundwater dependence, evaluate the vulnerability of specific neighbourhoods to urban flooding and to develop new interventions for addressing urban spatial inequality.
Research questions and objectives:

  1. Develop a method for statistically downscaling ward level census data to the resolution of 30mX30m raster cells. 
  2. What is the extent of spatial inequality in domestic piped water supply across neighbourhoods? How did this spatial inequality arise and what institutional and governance processes perpetuate it?
  3. What is the extent of groundwater dependence at a neighbourhood level in Bengaluru? How does it impact public health outcomes and land markets?
  4. Are specific types of neighbourhoods systematically more exposed to urban floods in Bengaluru? If so, what historical and socio-economic processes have led to this?