SUSTAINABLE AND SMART CITY PLANNING USING SPATIAL DATA IN WALLONIA

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 so... Mehr ...

Verfasser: N. Stephenne
B. Beaumont
E. Hallot
E. Wolff
L. Poelmans
C. Baltus
Dokumenttyp: Artikel
Erscheinungsdatum: 2016
Reihe/Periodikum: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-4/W1, Pp 3-10 (2016)
Verlag/Hrsg.: Copernicus Publications
Schlagwörter: Technology / T / Engineering (General). Civil engineering (General) / TA1-2040 / Applied optics. Photonics / TA1501-1820
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26900662
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.5194/isprs-annals-IV-4-W1-3-2016

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.