University of Twente Student Theses


Collaborative slum mapping in the developing countries: A case of Kampala City, Uganda

Mpanga, Blessings Hautmann Grey (2012) Collaborative slum mapping in the developing countries: A case of Kampala City, Uganda.

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Abstract:Proliferation of slums in developing countries exerts enormous pressure on land and infrastructure services. As such, uncontrolled growth and sprawl renders slum mapping difficult for planners such that most slums have not been effectively mapped. The lack of maps contributes to various problems affecting the urban poor also because developing countries are often poor and technologically challenged such that they find it extremely difficult to accurately map slum settlements in detail. There are several web-based collaborative mapping tools that can be used to map slums in a cost-effective manner. The objective of this paper is to determine the effectiveness Google Map Maker (GMM) in the collaborative slum mapping for the production of spatial data. The GMM aims at improving the Google Mapdata through the expert knowledge of local citizens acquiring high-quality data to be published and used by everybody. The study assesses the effectiveness of the GMM in collaborative slum mapping by looking at (i) different web-based collaborative, mapping methods and tools (ii) analysis of users` requirements for the GMM slum maps (iii) identifying factors that lead to, or prevent potential stakeholder participation in collaborative slum mapping and (iv) assessing the current quality of web-based collaborative mapping. The outcome of the study indicates that the GMM can be used in conjunction with other collaborative mapping tools. Also, because of its flexibility, a lot of stakeholders are willing to participate in collaborative slum mapping to generate the slum map data needed by several slum map users. Features mapped in the GMM tool, undergo moderation process to unsure that the data generated is accurate and trustworthy. Voluntary mapping, political interference, lack of training and eviction threats negatively affects collaborative slum mapping. Key words: Google Map Maker, Stakeholder, Collaborative mapping, slums, unplanned settlements
Item Type:Essay (Master)
Faculty:ITC: Faculty of Geo-information Science and Earth Observation
Programme:Geoinformation Science and Earth Observation MSc (75014)
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