Volume IV-4/W1
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W1, 3-10, 2016
https://doi.org/10.5194/isprs-annals-IV-4-W1-3-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W1, 3-10, 2016
https://doi.org/10.5194/isprs-annals-IV-4-W1-3-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  05 Sep 2016

05 Sep 2016

SUSTAINABLE AND SMART CITY PLANNING USING SPATIAL DATA IN WALLONIA

N. Stephenne1, B. Beaumont1,2, E. Hallot1, E. Wolff2, L. Poelmans3, and C. Baltus4 N. Stephenne et al.
  • 1ISSeP, Remote Sensing and Geodata Unit, 4000 Liège, rue du Chéra, 200, Belgium
  • 2ANAGEO, IGEAT-ULB, 1050 Bruxelles, Av. F.D. Roosevelt, CP 130/03, Belgium
  • 3VITO, Environmental Modelling Unit, 2400 Mol, Boeretang, 200, Belgium
  • 4Service Public de Wallonie - DGO3, 5100 Namur, Av. Prince de Liège, 15, Belgium

Keywords: Smart City, Population Density Mapping, Land Use Mapping, Spatial Modelling, Risk Management, WebGIS

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.