Mapping research priorities for green and public urban space in the UK

Bell, Simon; Montarzino, Alicia; Travlou, Penny

doi:10.1016/j.ufug.2007.03.005

Cited by 72 publications

(43 citation statements)

References 2 publications

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“…There are various classification typologies for green spaces, which vary between eight and nine categories depending on the classification criteria (Bell et al, 2007;Panduro and Veie, 2013).…”

Section: Green Space Data and Indicatorsmentioning

confidence: 99%

Relationship between green space-related morphology and noise pollution

Margaritis

Kang

2017

Ecological Indicators

117

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Green spaces have been proved to have a positive effect on traffic noise pollution in the local scale; however their effects have not been explored on the urban level. This paper investigates the effects of green space-related parameters from a land cover viewpoint on traffic noise pollution in order to understand to what extent greener cities can also be quieter. A triple level analysis was conducted in the agglomeration, urban and kernel level including various case study cities across Europe. The green space parameters were calculated based on land cover data available in a European scale, while traffic noise data were extracted from online noise maps and configured in noise indices. In the first level 25 agglomerations were investigated, six of which were further analyzed in the urban and kernel levels. It was found that the effect of green spaces on traffic noise pollution varies according to the scale of analysis. In the agglomeration level, there was no significant difference in the cluster of the higher green space index and the percentage of people exposed in the lowest (55-59 dB(A)) or the highest noise band of more than 70 dB(A). In the urban level it was found that lower noise levels can possibly be achieved in cities with a higher extent of porosity and green space coverage. Finally, in the kernel level a Geographically Weighted Regression (GWR) analysis was conducted for the identification of correlations between noise and green. Strong correlations were identified between 60% and 79%, while a further cluster analysis combined with land cover data revealed that lower noise levels were detected in the cluster with higher green space coverage. At last, all cities were ranked according to the calculated noise index.

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Section: Green Space Data and Indicatorsmentioning

confidence: 99%

Relationship between green space-related morphology and noise pollution

Margaritis

Kang

2017

Ecological Indicators

117

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“…European research mirrors that in North America (Twiss et al, 2003), prompted by observational discoveries (Kaplan & Kaplan, 1983;Ulrich, 1984). Some explore the notion that 'greening the city' may prolong life (Takano et al, 2003) but support data are poor, and Bell et al (2007) note that while green space mapping has been well covered by planning and socio-economic analyses, there has been little focus on health and welfare.…”

Section: Can Collaborative Processes Facilitate Creative Design?mentioning

confidence: 99%

Transitioning to resilience and sustainability in urban communities

Collier

Nedović‐Budić

Aerts

et al. 2013

Cities

210

115

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Publication informationCities, 32 : S21-S28, Supplement 1Publisher Elsevier Link to online versionhttp://www.sciencedirect.com/science/article/pii/S0264275113 00036X Item record/more information http://hdl.handle.net/10197/4326 Publisher's statementThis is the author's version of a work that was accepted for publication in Cities. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Transitioning to resilience and sustainability in urban communities AbstractThe challenges of rapid urban growth and societal change will require mechanisms for efficient transitioning to an embedded resilience. This has become central to the exploration of methods for achieving truly sustainable urban growth. However, while transitioning and resilience are useful descriptors, they can be abstract or conflicting ideals and their meanings obscured by a lack of concrete examples, both being barriers to many planning objectives. In this paper, we hold a lens over key issues in transitioning to resilience in urban areas by outlining emerging challenges that may offer directions towards operationalising how cities might transition to a more resilient future, while ensuring that communities are at the center of the process.The emerging and challenging areas -geospatial ICT, green infrastructure planning, novel design using collaborative responses, climate planning, limiting urban sprawl and short-circuit economic approaches -are explored as viable facets for devising and sustaining urban transition strategies. We conclude with a discussion on the need for developing a synergistic approach in practice to facilitate transition.

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“…For example, one study may employ a two-type greenspace typology (Barbosa et al 2014) that is incomparable to another study that employs a nineteen-type greenspace typology (Bell et al 2007). Further, while two studies may employ the same label to describe their greenspace type, the type may vary between studies.…”

Section: Introductionmentioning

confidence: 99%

“…Last, how studies observe these characteristics can also vary. For example, the "amenity" characteristic could be the count (Sugiyama et al 2010), diversity (Ibes 2015), or qualities of greenspace amenities (Bell et al 2007). Despite the challenges of classifying greenspace, it remains theoretically important given that multiple studies suggest residents prefer particular greenspace types (Brown et al 2014;Korpela et al 2010;Sugiyama et al 2010), and that residents are willing to pay higher property prices to live closer to particular greenspace types (Anderson & West 2006;Ham et al 2012;Panduro & Veie 2013;Saphores & Li 2011).…”

Section: Introductionmentioning

confidence: 99%

A spatial analytic approach for classifying greenspace and comparing greenspace social equity

Kimpton

2017

Applied Geography

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Urban planners frequently adhere to 'park minimum standards' to ensure that public health and environmental benefits associated with greenspace are socially equitable. These standards denote the extent and placement of greenspaces, but rarely consider their form and function. Arguably, an inclusive evaluation of greenspace social equity requires the comparison of greenspace types. To address if greenspace types are socially equitable, I develop a novel spatial analytic approach that classifies 4,265 greenspaces according to twelve functional, physical characteristics. I then compare the social equity of these greenspace types using multiple operationalizations of social equity (provision, accessibility, and population pressure) throughout 4,524 neighborhoods in a capital city in Australia. I find that greenspace social equity varies for each of these types. For example, results reveal that affluent households have an abundance of amenity rich greenspaces and few amenity poor ones. Further, by comparing across multiple social equity operationalizations, I find that affluent households may have a deficit of the amenity poor greenspace type, but live closer to this type.These findings confirm that employing a greenspace typology and multiple social equity operationalizations can deepen our understanding of the association between social equity and greenspace provision. This spatial analytic approach is both adaptable for examining other urban land use types, and portable to other urban contexts, and can aid urban planners, researchers, and policy makers to understand how to improve the social equity of publicly beneficial greenspace types.

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Mapping research priorities for green and public urban space in the UK

Cited by 72 publications

References 2 publications

Relationship between green space-related morphology and noise pollution

Relationship between green space-related morphology and noise pollution

Transitioning to resilience and sustainability in urban communities

A spatial analytic approach for classifying greenspace and comparing greenspace social equity

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