Determining appropriate neighborhood shapes and sizes for modeling landscape satisfaction

Youssoufi, Samy; Foltête, Jean-Christophe

doi:10.1016/j.landurbplan.2012.09.005

Cited by 16 publications

(14 citation statements)

References 47 publications

(65 reference statements)

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“…Clarifying scale will make landscape research more effective and accurate [1,60]. Grain-size analysis is a differentiating factor in patterns observed in the study of the scale effect on spatial patterns, including land cover diversity metrics [20,25].…”

Section: Impact Of Grain Size On Landscape Metricsmentioning

confidence: 99%

Analysis of Landscape Patterns of Arid Valleys in China, Based on Grain Size Effect

et al. 2017

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Landscape metrics are useful tools in investigating spatial structure and in describing the heterogeneity of landscapes, but are sensitive to grain size. Thus, it is necessary to determine the appropriate grain size before researching landscape patterns. However, there have been few large-scale investigations in high-precision research about the effect of grain size on landscape patterns, especially in arid valleys in China. Thus, we selected three representative sample areas according to the basic characteristics of arid valleys, and we chose 22 grain sizes from 15 to 450 m to calculate twelve landscape metrics at the landscape level and six landscape metrics at the class level to analyze the most appropriate grain size for the arid valleys. All basins in the study area were converted to an appropriate-sized grid to analyze the landscape patterns. Our results showed that the effect of grain size on landscape metrics can be categorized as: no law, increasing, decreasing, or no change. The majority of the fitted landscape index curves were good, with high R 2 values. The most appropriate grain size at both levels was 75 m. The landscape pattern of arid valleys was scale-dependent. At the landscape level, arid valley landscape patterns changed from northwest to southeast due to topography and hydrothermal conditions. While the value of aggregation for different size classes was high, the other metrics showed significant differences due to area and degree of human activity at the class level.

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Section: Impact Of Grain Size On Landscape Metricsmentioning

confidence: 99%

Analysis of Landscape Patterns of Arid Valleys in China, Based on Grain Size Effect

et al. 2017

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“…Specifically, in analyzing the effects of neighborhood conditions on residents' satisfaction, previous studies have analyzed many variables such as: local jurisdiction effect, crime, physical decay and other activities and land uses (Greenberg, Crossney 2007); noise, green areas, naturalness and openness (Bonaiuto et al 2003;Gidlöf-Gunnarsson, Öhrström 2007;Hur et al 2010;Jong et al 2012); effects of place scale (Bonaiuto et al 2003;Lewicka 2010); perceived neighborhood social cohesion, welfare, friendliness of neighbors, ethnic, racial and economic composition (Lansing, Marans 1969;Cheung, Leung 2011); architectural-planning space, landscaping, housing services, style and condition, children's playgrounds, community halls, organization, car parks, security and disability facilities, neighborhood facilities and environment (Lansing, Marans 1969;Bonaiuto et al 2003;Salleh 2008;Youssoufi, Foltête 2013); communal services such as roads, transport services, sewer system and basic utilities within the housing area (Mohit, Azim 2012); and symbolic factors (e.g. sense of identity and prestige values) (Lansing, Marans 1969) (for further discussion, see also Zehner 1971;Türkoğlu 1997;Ukoha, Beamish 1997;Liu 1999;Westaway 2006;Stronegger et al 2010;Rioux, Werner 2011;Gupta et al 2012;oshio, urakawa 2012).…”

Section: Studies On Neighborhood Satisfactionmentioning

confidence: 99%

Are You Pleased With Your Neighborhood? A Fuzzy Cognitive Mapping-Based Approach for Measuring Residential Neighborhood Satisfaction in Urban Communities

Ferreira

2016

International Journal of Strategic Property Management

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Previous research has indicated that residents' satisfaction with neighborhood conditions helps shape attitudes and has a high impact on residential valuations. This paper reports on research that sought to analyze the relationship between neighborhood characteristics and residents' degree of satisfaction. Based on the construction of a fuzzy cognitive map (FCM), which involved residents from several high-and low-quality neighborhoods in the Central-West region of Portugal, a framework that adds value to the way key determinants of neighborhood satisfaction are identified is proposed. Because FCMs allow the understanding of the cause-and-effect relationships between factors to be improved, this framework shows that for satisfaction with the neighborhood to increase, more attention needs to be paid to positive attitudes toward subjective variables that interfere with residents' satisfaction. The results presented can provide relevant information for the effective and efficient planning and development of residential environments. Strengths and weaknesses of this proposal are also discussed.

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“…Not only did many comparable surveys already exist in other French or European cities (e.g. Bonaiuto, Fornara, & Bonnes, 2003;Ellis, Lee, & Kweon, 2006;Hur, Nasar, & Chun, 2010), but a similar survey had already been undertaken recently in the periurban areas of Besançon as part of a doctoral study (Youssoufi & Foltête, 2013).…”

Section: The Context For the Experimental Trialmentioning

confidence: 99%

“…As far as landscape quality variables for the residential environment are concerned, studies carried out in a periurban sector of Besançon have quantified the role played by certain features of the landscape in personal residential satisfaction (Youssoufi & Foltête, 2013). A thousand households were questioned about their degree of satisfaction with the landscape, and the study revealed the importance attributed by individuals to the amount of woodland within 1700 m of their home and to the amount of residential buildings within a distance of a 100 m. The presence of woodland is viewed positively, but the presence of other housings is viewed negatively.…”

Section: Pair Comparisonmentioning

confidence: 99%

Conception and use of an individual-based model of residential choice in a planning decision process. Feedback from an experimental trial in the city of Besançon, France

Tannier

Hirtzel

Stephenson

et al. 2016

Progress in Planning

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International audienceIn this paper, we present an experimental trial involving the use of a complex spatial simulation platform to support a planning decision process in the city of Besançon (eastern France). In medium-sized towns across France, households with children are leaving to settle in periurban areas, and Besançon is no exception. Under those circumstances, the political objective of the Besançon City authority is to keep middle- and high-income households with children within the city. The simulation platform MobiSim was used in this context to explore the possible outcomes of spatial planning policies, set by both the Greater Besançon authority (Besançon and the surrounding periurban communities) and the city of Besançon, on residential migrations over a 20 year period. MobiSim integrates several models representing demographic, social, economic, and spatial processes. Modelled entities are individuals and dwellings. Rules determine how individuals form households. Other rules locate dwellings in buildings

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Determining appropriate neighborhood shapes and sizes for modeling landscape satisfaction

Cited by 16 publications

References 47 publications

Analysis of Landscape Patterns of Arid Valleys in China, Based on Grain Size Effect

Analysis of Landscape Patterns of Arid Valleys in China, Based on Grain Size Effect

Are You Pleased With Your Neighborhood? A Fuzzy Cognitive Mapping-Based Approach for Measuring Residential Neighborhood Satisfaction in Urban Communities

Conception and use of an individual-based model of residential choice in a planning decision process. Feedback from an experimental trial in the city of Besançon, France

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