Abstract
Simulating population distribution and land use changes in space and time offer opportunities for smart city planning. It provides a holistic and dynamic vision of fast changing urban environment to policy makers. Impacts, such as environmental and health risks or mobility issues, of policies can be assessed and adapted consequently. In this paper, we suppose that “Smart” city developments should be sustainable, dynamic and participative. This paper addresses these three smart objectives in the context of urban risk assessment in Wallonia, Belgium. The sustainable, dynamic and participative solution includes (i) land cover and land use mapping using remote sensing and GIS, (ii) population density mapping using dasymetric mapping, (iii) predictive modelling of land use changes and population dynamics and (iv) risk assessment. The comprehensive and long-term vision of the territory should help to draw sustainable spatial planning policies, to adapt remote sensing acquisition, to update GIS data and to refine risk assessment from regional to city scale.
Highlights
The “Smart” management and planning of a city are emerging strategies to mitigate the challenges and strengthen the opportunities caused by urban population growth (2%/yr worldwide (WorldBank, 2014)) and rapid urbanization (Chourabi et al, 2012)
For Wallonia application, we propose to integrate socio-economic datasets to the land cover map to translate it to a functional land use map compatible with the COSW in order to update this map
Results obtained by the methods proposed in the third section are seen as sufficiently efficient for a Walloon application from land use / land cover (LULC) and population mapping to simulation
Summary
The “Smart” management and planning of a city are emerging strategies to mitigate the challenges and strengthen the opportunities caused by urban population growth (2%/yr worldwide (WorldBank, 2014)) and rapid urbanization (Chourabi et al, 2012). Urbanization is reaching unprecedented levels around the world. 73% of European citizens are urban and this ratio reaches an even more impressive value in Belgium with 98% (WorldBank, 2014). Urbanization increases pressures on multiple sectors and activities impacting human living, working and natural environments. It brings opportunities to develop new shortand long-term smart, efficient and sustainable management and planning strategies. Developing reliable and precise land use classes and population distribution datasets for analysing and predicting health and environmental risks, the topic of this paper, refers to these strategies
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