Urban Chances: City growth and the sustainability .. (CHANCE2SUSTAIN)
Urban Chances: City growth and the sustainability challenge; Comparing fast growing cities in growing economies
Date du début: 1 avr. 2010,
Date de fin: 31 juil. 2014
In this programme we want to examine how governments and citizens in cities with differing patterns of urban economic growth make use of participatory(or integrated) spatial knowledge management to direct urban governance towards more sustainable development (SD). Participatory spatial knowledge management is the main concept we use to study this issue, as it reflects a strategic resource, which all stakeholders can contribute to urban governance processes towards SD. It includes both expert knowledge and several forms of non-expert knowledge, such as knowledge from (working) experience (tacit), embedded sectoral knowledge, and social (or community-based) knowledge at the neighbourhood and city-wide level. Participatory processes of urban planning and management are strategic in eliciting these forms of spatially disaggregated (of specific) knowledge, which are usually not acknowledged in top-down, expert-driven models of urban governance and planning. Utilizing participatory spatial knowledge can make urban governance and planning more effective and gain wider acceptance, by incorporating both expert and local community knowledge. Although participatory spatial knowledge management is increasingly used in urban planning processes, its success depends on external political and economic conditions. A legal framework providing for fiscal decentralisation and funding, for instance, is a strategic support. The influence of various external conditions has not yet been analysed much locally, and certainly not comparatively across different socio-political contexts, although it is a strategic question, given the inherent trade-offs and potential political conflicts in combining environmental, social and economic goals (within SD). Therefore, our programme focuses on nine cities with contrasting economic and political conditions, with the main scientific objective of developing a model on participatory spatial knowledge management to direct urban governance to SD.
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