Reference : Urban Development as a Continuum: A Multinomial Logistic Regression Approach
Parts of books : Contribution to collective works
Engineering, computing & technology : Multidisciplinary, general & others
http://hdl.handle.net/2268/183276
Urban Development as a Continuum: A Multinomial Logistic Regression Approach
English
El Saeid Mustafa, Ahmed Mohamed mailto [Université de Liège > Département Argenco : Secteur A&U > LEMA (Local environment management and analysis) >]
Cools, Mario mailto [Université de Liège > Département Argenco : Secteur A&U > Transports et mobilité >]
Saadi, Ismaïl mailto [Université de Liège > Département Argenco : Secteur A&U > Transports et mobilité >]
Teller, Jacques mailto [Université de Liège > Département Argenco : Secteur A&U > Urbanisme et aménagement du territoire >]
20-Jun-2015
Computational Science and Its Applications – ICCSA 2015, Part III
Gervasi, Osvaldo
Murgante, Beniamino
Misra, Sanjay
Gavrilova, Marina L.
Rocha, Ana Maria Alves Coutinho
Torre, Carmelo
Taniar, David
Apduhan, Bernady O.
Springer
Lecture Notes in Computer Science, 9157
729-744
Yes
978-3-319-21469-6
Cham
Switzerland
[en] urban development ; driving forces ; multinomial logistic regression model ; cadastral data ; urban densities
[en] Urban development is a complex process influenced by a number of driving forces, including spatial planning, topography and urban economics. Identifying these drivers is crucial for the regulation of urban development and the calibration of predictive models. Existing land-use models generally consider urban development as a binary process, through the identification of built versus non-built areas. This study considers urban development as a continuum, characterized by different level of densities, which can be related to different driving forces.
A multinomial logistic regression model was employed to investigate the effects of drivers on different urban densities during the past decade in Wallonia, Belgium. Sixteen drivers were selected from sets of driving forces including accessibility, geophysical features, policies and socioeconomic factors.
It appears that urban development in Wallonia is remarkably influenced by land-use policies and accessibility. Most importantly, our results highlight that the impact of different drivers varies along with urban density.
LEMA
The research was funded through the ARC grant for Concerted Research Actions, financed by the Wallonia-Brussels Federation
ARC - Floodland
Researchers ; Professionals ; Students ; General public ; Others
http://hdl.handle.net/2268/183276
10.1007/978-3-319-21470-2_53
http://link.springer.com/chapter/10.1007/978-3-319-21470-2_53#

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