1. Consumption quintiles in household sample
 2. Water source use by distance from city center
3. Household information integrated with high resolution satellite data
 | Objective
Enhance analysis of urban social, economic and environmental problems and support information based urban management. Methodology
This project implemented four comprehensive urban household surveys in Indian cities. Each household's geographic location was captured using handheld geographic positioning system (GPS) receivers. This allows visualization of spatial patterns of survey variables (Fig.1). It also enables policy analysts to integrate the household data with other GIS data—public services, sources of pollution, land use planning maps—and to re-aggregate survey data geographically. For instance, instead of showing use of different sources of water for wards, one can investigate how their prevalence changes by distance from city center (Fig.2). Household locations can also be integrated with high resolution satellite data—an invaluable resource for urban planning that also provides contextual information for urban research applications (Fig.3). Results
Georeferencing of survey data increases the range of analyses that can be done with the information at a marginal additional cost. Survey results have been disseminated in the four cities, and the research papers linked below provide examples of the use of spatially referenced data to map survey results and to generate new indicators for use in formal econometric modeling. Links
This research has been supported by the DFID funded Urban Knowledge Generation and Toolkits Program and the World Bank's Development Research Group. |
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