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A Framework to Probe Uncertainties in Urban Cellular Automata Modelling Using a Novel Framework of Multilevel Density Approach: A Case Study for Wallonia Region, Belgium
Chakraborty, Anasua; Ahmed Mustafa; Hichem Omrani et al.
2023In Intelligence for Future Cities
Peer reviewed
 

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Keywords :
Uncertainty analysis; Urban CA modelling; Urban densification
Abstract :
[en] Urban expansion models are widely used to understand, analyze and predict any peculiar scenario based on input probabilities. Modelling and uncer-tainty are concomitant, and can occur due to reasons ranging from–discrepancies in input variables, unpredictable model parameters, spatio-temporal variability between observations, or malfunction in linking model variables under two different spatio-temporal scenarios. However, uncertainties often occur because of the interplay of model elements, structures, and the quality of data sources employed; as input param-eters influence the behavior of cellular automaton (CA) models. Our study aims to address these uncertainties. While most studies consider neighborhood effects, timestep and spatial resolution, our study uniquely focuses on the susceptibility of multi density classes and varying cell size on uncertainty. Hence this chapter offers a theoretical elucidation of the concepts, sources, and strategies for managing uncer-tainty under various criteria as well as an algorithm for enumerating the model’s accuracy for Wallonia, Belgium.
Precision for document type :
Critical notes/Edition
Disciplines :
Architecture
Civil engineering
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Chakraborty, Anasua  ;  Université de Liège - ULiège > Urban and Environmental Engineering
Ahmed Mustafa
Hichem Omrani
Teller, Jacques  ;  Université de Liège - ULiège > Département ArGEnCo > LEMA (Local environment management and analysis)
Language :
English
Title :
A Framework to Probe Uncertainties in Urban Cellular Automata Modelling Using a Novel Framework of Multilevel Density Approach: A Case Study for Wallonia Region, Belgium
Publication date :
02 June 2023
Main work title :
Intelligence for Future Cities
Publisher :
Springer Nature Switzerland
ISBN/EAN :
978-3-03-131746-0
978-3-03-131745-3
Peer reviewed :
Peer reviewed
Additional URL :
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
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since 14 June 2023

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