The diffused city of the Italian North-East: identification of urban dynamics using cellular automata urban models

Besussi, Elena; Cecchini, Arnaldo; Rinaldi, E

doi:10.1016/s0198-9715(98)00022-2

Cited by 32 publications

(20 citation statements)

References 16 publications

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“…Except for the models developed by Besussi et al (1998) and Jenerette and Wu (2001), most models show some relaxation. Yet, some models present more important modifications.…”

Section: Balance Between Realism and Preservation Of Ca Featuresmentioning

confidence: 89%

“…Type-I rules are strictly orthodox transition rules, in the sense that the state of a cell is a function of the cell's current state and the state of its neighbors, which can be implemented by means of simple rules, based exclusively on the number of neighboring cells of each land use (Jenerette and Wu, 2001;Yüzer, 2004), or of more complex rules (Besussi et al, 1998;Stevens and Dragicevic, 2007;Ward et al, 2000) (Table 1).…”

Section: Analysis Of Urban Ca Modelsmentioning

confidence: 99%

See 1 more Smart Citation

Cellular automata models for the simulation of real-world urban processes: A review and analysis

Santé

García

Miranda

et al. 2010

Landscape and Urban Planning

627

292

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“…Except for the models developed by Besussi et al (1998) and Jenerette and Wu (2001), most models show some relaxation. Yet, some models present more important modifications.…”

Section: Balance Between Realism and Preservation Of Ca Featuresmentioning

confidence: 89%

Section: Analysis Of Urban Ca Modelsmentioning

confidence: 99%

Cellular automata models for the simulation of real-world urban processes: A review and analysis

Santé

García

Miranda

et al. 2010

Landscape and Urban Planning

627

292

View full text Add to dashboard Cite

“…The focus of the models presented within the literature is diverse covering urban growth in different geographical contexts including China (Wu and Webster 1998;Li and Yeh 2000), Brazil (Almeida et al 2002), the United States (Batty and Xie 1994;Clarke et al 1997) and Italy (Besussi et al 1998). They also focus on different aspects of urban growth, such as land-use change patterns (White and Engelen 1993;, inner city urban growth (Wu 1998c), and constrained sustainable urban expansion and agricultural land loss (Li and Yeh 2000), and for evaluating different urban planning objectives of urban growth (Ward et al 2000).…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Cellular Automata Urban Growth Model (FCAUGM) for the City of Riyadh, Saudi Arabia. Part 1: Model Structure and Validation

Al-Ahmadi

Heppenstall

Hogg

et al. 2009

Appl. Spatial Analysis

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Managing and modelling urban growth is a multi-faceted problem. Cities are now recognised as complex systems through which non-linear processes, emergence and self-organisation occur. The design of a system that can handle these complexities is a challenging prospect. This paper presents an urban planning application for the city of Riyadh, Saudi Arabia. At the core of the application is a Fuzzy Cellular Automata Urban Growth Model (FCAUGM) which is generally capable of simulating the complexities of urban growth. The chief components of the model are outlined and quantitative and qualitative methods of validation are described. The results of the validation show that the model is to a large extent successful at replicating the spatial patterns over time for Riyadh although closer examination reveals several minor anomalies which cannot readily be explained. The authors conclude that the model offers significant benefits for simulating urban growth and change, for urban planning and decision-support for policy makers and others, but further research will be necessary on methods of validating and interpreting the detailed results.

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“…Urban parks and green spaces offer a variety of economic, environmental and social function values (BedimoRung et al, 2005;Byrne and Wolch, 2009;Cohen et al, 2007;Ulrich and Addoms, 1981;Wolch et al, 2014), providing important space-filling elements in shaping the form and layout of cities (Batty and Longley, 1994;Davies et al, 2008;Longley et al, 1992). From an analytic standpoint, proximity to parks has been widely adopted as one of the key driving factors in constructing models to simulate the complex and dynamic processes of urban land use and landscape changes using spatially explicit cellular automata (CA) (Besussi et al, 1998;Haase and Schwarz, 2009;Jenerette and Wu, 2001;Stevens and Dragicevic, 2007) and agent-based model approaches (Haase and Schwarz, 2009;Loibl et al, 2007). The potential impacts of urban forms on public health outcomes has long been recognized in the literature, with more recent studies ascertaining the positive correlation between urban sprawl and the increased likelihood of obesity-related diseases (e.g., high blood pressure, diabetes, and cardiovascular disease) (Alfonzo et al, 2014;Badland et al, 2014;McCann and Ewing, 2003).…”

Section: Urban Parks and Planning Contextmentioning

confidence: 99%

Rethinking planning for urban parks: accessibility, use and behaviour

Wang¹

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Public parks and green spaces are important health promoting facilities for urban dwellers, which can bring about improved health outcomes, diminished racial tensions and reduced public stress. Access to urban parks and green spaces is purported to be associated with the development of social capital, increased community wellbeing and inclusive neighbourhoods. It is within this context that recent decades have witnessed increasing efforts in measuring and modelling park accessibility in cities.Previous studies, however, found significant inconsistency between subjectively (perceived) and objectively (geographic) measured accessibility, indicating the need to examine existing conceptualisation of park accessibility, especially at the individual perceptual level.The accessibility concept has been developed as a multi-dimensional construct that requires a more adequate understanding about its influential factors and dimensions. Existing measures of accessibility have been limited to the concept's physical and temporal dimensions, leaving other relevant factors such as social conditions and personal constraints, including perceptions, largely unexplored. This research argues for the relevance of socio-personal factors to realistically assess accessibility to urban public parks. There is also a need to clarify how accessibility influences an individual's decision-making process that ultimately leads to human behaviour of park use or nonuse, as psychological study of behavioural intentions to use parks has rarely been investigated.Following a correlational research design and cross-sectional validation approach, this research was proposed to fill these knowledge gaps.The research involved both processes of model development and model validation. Two models were proposed in this study: an expanded theory of planned behavioural (TPB) model and an integrated model of park accessibility. The first model aims to identify the role of park accessibility in influencing individual behavioural intentions towards park use and non-use. The model was developed based on the theory of planned behaviour, with three additional variables included (i.e., perceived park accessibility, geographic proximity, and past use) to compare their relative importance in influencing park use intentions. The second model was proposed based on the critical literature review of the accessibility concept. The model consists of five dimensions, including both physical and socio-personal variables that were identified as being associated with urban park access and use.Both models were empirically tested using questionnaire survey data collected from two cities of different socio-cultural settings: Brisbane (Australia) and Zhongshan (China). Within each city, iii sampling was carefully designed to represent residents of different socioeconomic backgrounds with an aim of modelling the differences between population groups. Data were analysed quantitatively using statistical methods and spatial analytical techniques. Key findings from this study incl...

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The diffused city of the Italian North-East: identification of urban dynamics using cellular automata urban models

Cited by 32 publications

References 16 publications

Cellular automata models for the simulation of real-world urban processes: A review and analysis

Cellular automata models for the simulation of real-world urban processes: A review and analysis

A Fuzzy Cellular Automata Urban Growth Model (FCAUGM) for the City of Riyadh, Saudi Arabia. Part 1: Model Structure and Validation

Rethinking planning for urban parks: accessibility, use and behaviour

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