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Spatial data infrastructures for cities in developing countries: lessons from the Bangkok experience

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Authors
Escobar Martínez, Francisco JavierUniversity of Alcalá Author; Bishop, Ian; Karuppannan, Sadasivam; Williamson, Ian; Yates, Paul; [et al.]
Identifiers
Permanent link (URI): http://hdl.handle.net/10017/6807
DOI: 10.1016/S0264-2751(00)00004-4
Date
2000
Affiliation
Universidad de Alcalá. Departamento de Geografía
Bibliographic citation
Cities. 2000, vol 17, n. 2, p. 85-96
Keywords
Spatial data infrastructures
Geographic information systems
Developing countries
Urban
Sustainable development
Document type
info:eu-repo/semantics/article
Publisher's version
http://dx.doi.org/10.1016/S0264-2751(00)00004-4
Access rights
info:eu-repo/semantics/openAccess
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Abstract
The cities of the developing world face major problems in managing growth and their urban infrastructure. The experiences of cities in the developed world have usually proved inappropriate in developing countries and consequently new and innovative solutions are continually being explored for these cities. Geographic information systems and the underlying spatial data infrastructures appear to offer significant potential to assist in managing human settlements in developing countries. In examining the status of spatial data infrastructures in developing countries, the first part of the paper compares cities in developing countries to those in the developed world. It then highlights issues facing developing countries in establishing spatial data infrastructures to support efficient urban land management. The paper describes the Bangkok Land Information System as an example of a city attempting to use spatial information technologies to manage the urban environment. This case study, together with the experience of the authors, are used to describe generic issues involved in the development of spatial data infrastructures for cities in similar socio-economic conditions. The paper provides a technical and institutional framework for the development of spatial data infrastructures for cities in developing countries. The paper concludes by suggesting that simple, low cost, project oriented, easily maintained and user-friendly spatial information technologies have the best chance of success.
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