High-resolution integrated modelling of the spatial dynamics of urban and regional systems

By R. White, Guy Engelen. 2000

675 citations recorded by the source corpus.

Subfields: Building and Construction, Computational Theory and Mathematics, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/10f7df8a31426768cd36ac299fcdc463c736196f

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In Building and Construction

In Computational Theory and Mathematics

In Global and Planetary Change

Citations in the corpus

Urban sustainability in developing countries’ megacities: modelling and predicting future urban growth in Lagos (2003, background): “Since the pioneer work of Tobler (1970), several approaches have been proposed for modifying standard cellular automata (CA) in order to make them suitable for urban simulation (Batty and Longley, 1986, 1987; Cecchini and Viola, 1990; White and Engelen, 1993; Itami, 1994; White et al., 1997; Wu, 199”
Cellular Automata and Urban Simulation: Where Do We Go from Here? (2001, background): “Ideally the connection between the two sets of models would be tightly integrated and seamless, but a hybrid approach could also constitute a suite of models, already been made (Benenson, 1999; White and Engelen, 2000), and modular simulation architectures are paving the way for these hybrids.”
A systematic review of dynamics in climate risk and vulnerability assessments (2017, methodology): “As for the dynamics of exposure, whilst several studies used landuse simulation tools, also other non-climate literature can offer insights and tools for future spatial change (e.g. Verburg et al 2002, White and Engelen 2000).”
A method to analyse neighbourhood characteristics of land use patterns (2004, methodology): “Others have argued that human activities are influenced by a wider space making a flexible definition of the neighbourhood essential (White & Engelen, 2000).”
Land use change modelling: current practice and research priorities (2004, methodology): “In the application for the Netherlands (White and Engelen 2000) national level projections for population and sectoral economic activity are translated to 40 urban-centred economic regions (COROPs) where they are converted via productivity functions into regional demands for cell space for the land ”
An agent-based approach to model future residential pressure on a regional landscape (2009, background): “This allows simulation of the complex interactions between agents and between agents and their environment (White and Engelen 2000; Parker et al. 2003; Matthews et al. 2007).”