[en] With the increase in population, urban areas are becoming densely occupied, with building expanding
vertically and horizontally. Thus, leading to construction of new housing units within the existing built
up area resulting into urban densification. This paper examines and evaluates the static and dynamic
drivers for urban densification using Multinomial Regression Model (MLR). The model is developed,
calibrated and validated for the area of Brussels capital region, Flemish Brabant and Wallonia Brabant
of Belgium. The 100 x 100 built up maps were generated from Belgian Cadastral (CAD) data for the
years 2010 and 2016 and grouped into four classes namely, non-urban, low-density, medium-density
and high-density. Modelling includes socio-economic, accessibility and topographical drivers to
analyse the potential drivers for densification. The findings show that all drivers have significant
variations to each level of density classes and thus facilitates a huge scope for planners and policy
makers to execute various urban development strategies.
Disciplines :
Architecture Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Chakraborty, Anasua ; Université de Liège - ULiège > Urban and Environmental Engineering
Language :
English
Title :
IMPACT OF STATIC AND DYNAMIC DRIVERS ON URBAN DENSIFICATION
Publication date :
2021
Event name :
The 2021 European Colloquium on Theoretical and Quantitative Geography
