Surveying Models in Urban Land Studies

Silva, Elisabete; Wu, Ning

doi:10.1177/0885412211430477

Cited by 47 publications

(21 citation statements)

References 50 publications

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“…Some articles present their main features and propose a review and a classification (Simmonds et al, 1999;Wegener, 1994;Wegener, 2004;Batty, 2009;Iacono et al, 2008). Others present the existing models in line with different frameworks (Hunt et al, 2005;Silva and Wu, 2012), their application to territories (Feldman et al, 2009;Lautso et al, 2004;Gayda et al, 2005;Sustaincity, 2013) or their historical development (Simmonds and Feldman, 2007). Theoretical issues are also debated, Jin and Wegener (2013) and Anas (2013) for example discuss equilibrium and the evolution towards more dynamic modeling.…”

Section: Introductionmentioning

confidence: 99%

“…As a result, they are primarily considered as research objects. The gap between lab application and operational use for planning practice is still to be filled (Wegener, 2011;Silva and Wu, 2012;Brömmelstroet and Bertolini, 2008;Aashto, 2007;Nguyen-Luong, 2012). Thus we still need to better understand how LUTIs are currently used, the barriers to their practical use and how they could better inform planning decisions and transport policies in practice.…”

Section: Introductionmentioning

confidence: 99%

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Making land use – Transport models operational tools for planning: From a top-down to an end-user approach

Saujot¹,

Lapparent²,

Arnaud³

et al. 2016

Transport Policy

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Land Use and Transport Integrated models (LUTIs) are promising approaches for urban planning. There is large literature describing their technical architectures or using them in various scientific contexts. Yet little attention has been paid to expectations of practitioners (planners) and to the operational use of such models. The gap between lab application and operational use for planning practice is still to be filled. We shed light on what would make them definitely accepted and more used by planners to evaluate a range of urban and transport policies. In addition to literature review and our own experience dealing with urban planning agencies, we have interviewed different types of end users in France to identify their motivations and barriers to use LUTI models. The results show demand for a far more bottom-up oriented approach: the models should consider objectives and general needs of end users to live up to their expectations. Only a closer collaboration between modelers and end users, and more efforts to integrate modeling into urban planning, will make LUTIs considered as relevant approaches. Key words: Land Use and Transport Integrated models; Planning support system, Planning practice Highlights: A gap between theory and practice has to be filled for LUTI modeling. This effort to make LUTI operational tools is more critical than technical improvements. Academics should build up on more bottom-up approaches, based on end-users expectations and resources. Calibration and validation procedures should be harmonized, improved and adapted to specific LUTI use.1

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Making land use – Transport models operational tools for planning: From a top-down to an end-user approach

Saujot¹,

Lapparent²,

Arnaud³

et al. 2016

Transport Policy

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“…However, it was not until the 1990s that these efforts began to thrive (Batty et al 2012;Wu and Silva 2010). A result of these computer models has been a shift from strongly deterministic ways of representing urban systems to more complex adaptive forms that more easily adjust to actual conditions and include more stochastic and heterogeneous characteristics, when dealing with urban land use dynamics (Silva and Wu 2012). However, few simulation models of internal urban land changes that could result the development of creative industries exist.…”

Section: Introductionmentioning

confidence: 99%

Incorporating GIS data into an agent-based model to support planning policy making for the development of creative industries

Liu¹,

Silva²,

Qian³

2016

J Geogr Syst

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This paper presents an extension to the agent-based model ''Creative Industries Development-Urban Spatial Structure Transformation'' by incorporating GIS data. Three agent classes, creative firms, creative workers and urban government, are considered in the model, and the spatial environment represents a set of GIS data layers (i.e. road network, key housing areas, land use). With the goal to facilitate urban policy makers to draw up policies locally and optimise the land use assignment in order to support the development of creative industries, the improved model exhibited its capacity to assist the policy makers conducting experiments and simulating different policy scenarios to see the corresponding dynamics of the spatial distributions of creative firms and creative workers across time within a city/ district. The spatiotemporal graphs and maps record the simulation results and can be used as a reference by the policy makers to adjust land use plans adaptively at different stages of the creative industries' development process.

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“…Schwarz et al (2010) provided a general review of 21 urban models where they found no models were specifically designed for urban shrinkage studies (a process that is marked by the decline of urban population and economic growth). The most recent review was by Silva and Wu (2012) who classified 64 CA urban models based on their level of analysis, the spatio-temporal scale, and tasks performed. These aforementioned reviews focus on the selection of CA models and gave less attention to the selection of factors based on the transition rules.…”

Section: Introductionmentioning

confidence: 99%

Cellular Automata for Urban Growth Modelling:

Wahyudi

Liu

2016

IRSPSD International

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Abstract:Urban growth modelling has attracted considerable attention over the past two decades. This article reviews the driving factors that have been identified and studied in cellular automata (CA); one of the popular methods in urban growth modelling. Over a hundred articles published between 1993 and 2012 were selected and reviewed. We extracted the driving factors from CA transition rules and arranged them in a list. The list contributes to early spatial research for the selection of factors in CA models. Our analyses show that studies between 1993 and 2000 mainly focused on using earth's physical factors in predicting urban growths, while recent studies combined them with socioeconomic factors, resulting with models with a greater number of inputs. Nevertheless, the human-behaviour factors impacting urban growth were generally under-represented. Geographically, more applications of the CA urban growth models have been seen in the developed countries compared with those in the developing countries, suggesting substantial work is needed to address issues in understanding and modelling rapid urban growth processes in developing countries.

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Surveying Models in Urban Land Studies

Cited by 47 publications

References 50 publications

Making land use – Transport models operational tools for planning: From a top-down to an end-user approach

Making land use – Transport models operational tools for planning: From a top-down to an end-user approach

Incorporating GIS data into an agent-based model to support planning policy making for the development of creative industries

Cellular Automata for Urban Growth Modelling:

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