Who lives in greener neighborhoods? The distribution of street greenery and its association with residents’ socioeconomic conditions in Hartford, Connecticut, USA

Li, Xiaojiang; Zhang, Chuanrong; Li, Weidong; Kuzovkina, Yulia A.; Weiner, Daniel

doi:10.1016/j.ufug.2015.07.006

Cited by 161 publications

(106 citation statements)

References 37 publications

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“…It is interesting to note that these benefits are reflected in the distribution of greened spaces in different types of neighbourhoods. For example, it has been shown that people with higher incomes tend to live in places with more street greenery [22]. An explanation is that greater income can allow the purchase of larger residential plots with the associated larger scope for planting of trees, shrubs and lawns with the associated benefits of higher levels of tranquillity.…”

Section: Discussionmentioning

confidence: 99%

The effects of “greening” urban areas on the perceptions of tranquillity

Watts

2017

Urban Forestry & Urban Greening

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Tranquil environments can provide relief from stresses of everyday of life and can be considered restorative environments. This paper considers the effects of "greening" urban environments to enhance tranqui llity and ultimately well-being and health benefits. A number of studies have been conducted at the Bradford Centre for Sustainable Environments at the University of Bradford which have examined the effects of natural features on ratings of tranquillity. These include quantifying the effects of the percentage of natural and contextual features and soundscape quality on rated tranquillity. Recently the resulting prediction equation TRAPT (Tranquillity Rating Prediction Tool) has been used to examine a number of scenarios including city parks and square s, country parks and moorland areas and validated using tranquillity ratings made by visitors to these green spaces and their reported levels of relaxation. In this paper TRAPT is used for predicting tranquillity in city squares of different sizes, to examine rated tranquillity behind natural (green) and manufactured noise barriers and to predict changes in urban streets of introducing avenues of trees, hedges and grass verges. Using such scenarios this paper demonstrates how the application of TRAPT can enable changes in tranquillity to be estimated. This can provide planners, environmentalists, civic leaders and concerned citizens with a further tool to guide improvements in the urban environment by "greening" measures and noise reduction of various kinds and to help counter threats such as over development, tree removal or traffic densification that might threaten existing benefits. 242 words

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Section: Discussionmentioning

confidence: 99%

The effects of “greening” urban areas on the perceptions of tranquillity

Watts

2017

Urban Forestry & Urban Greening

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“…Third, this method can significantly reduce labour and save time because most of the procedures are completed with Python scripts. Fourth, street view images could be suitable supplements to remote sensing images for the vertical dimension, and have a high resolution for streetscape studies [37]. Finally, street view images represent low-cost datasets for researchers compared with high-resolution remote sensing images.…”

Section: The Advantages Of Using Street View Images and Computer Visionmentioning

confidence: 99%

“…These techniques and methodologies can be powerful supplements to remote sensing images in urban landscape studies, and can produce high-resolution and precise pictures of street-visible greenery at the regional or city level [34,38,39]. The GVI offers a link between visual perception and socio-economic data at the block level, and Li's studies have proven this notion [36,37]. In addition, using computer vision algorithms can aid in quantitative batch processing, offering clear efficiency improvements and reducing labour [40,41].…”

Section: Introductionmentioning

confidence: 99%

Impacts of Street-Visible Greenery on Housing Prices: Evidence from a Hedonic Price Model and a Massive Street View Image Dataset in Beijing

Zhang

Dong

2018

IJGI

122

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Street greenery is a component of urban green infrastructure. By forming foundational green corridors in urban ecological systems, street greenery provides vital ecological, social, and cultural functions, and benefits the wellbeing of citizens. However, because of the difficulty of quantifying people's visual perceptions, the impact of street-visible greenery on housing prices has not been fully studied. Using Beijing, which has a mature real estate market, as an example, this study evaluated 22,331 transactions in 2014 in 2370 private housing estates. We selected 25 variables that were classified into three categories-location, housing, and neighbourhood characteristics-and introduced an index called the horizontal green view index (HGVI) into a hedonic pricing model to measure the value of the visual perception of street greenery in neighbouring residential developments. The results show that (1) Beijing's homebuyers would like to reside in residential units with a higher HGVI; (2) Beijing's homebuyers favour larger lakes; and (3) Beijing's housing prices were impacted by the spatial development patterns of the city centre and multiple business centres. We used computer vision to quantify the street-visible greenery and estimated the economic benefits that the neighbouring visible greenery would have on residential developments in Beijing. This study provides a scientific basis and reference for policy makers and city planners in road greening, and a tool for formulating street greening policy, studying housing price characteristics, and evaluating real estate values.

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“…The same statistics are reported in the right two columns. The bottom diamond reports the overall mean effect size and its standard error Berland and Hopton, 2014; Bruton and Floyd, 2014; Davis et al, 2012; Duncan et al, 2014; Harvey and Varuzzo, 2013; Heynen, 2003; Landry and Pu, 2010; Li et al, 2015; Lovasi et al, 2013; Lowry et al, 2012; Nowak, 1991; Perkins et al, 2004; Pham et al, 2011; Phelps, 2012; Romolini et al, 2013; Schwarz et al, 2011; Shakeel and Conway, 2014; Sorrensen et al, 2015; Thornton et al, 2016; Troy et al, 2007; Ulloa, 2015; Yngve, 2016; Zhang et al, 2008.…”

Section: Figmentioning

confidence: 99%

The relationship between urban forests and race: A meta-analysis

Watkins

Gerrish

2018

Journal of Environmental Management

111

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There is ample evidence that urban trees benefit the physical, mental, and social health of urban residents. The environmental justice hypothesis posits that environmental amenities are inequitably low in poor and minority communities, and predicts these communities experience fewer urban environmental benefits. Some previous research has found that urban forest cover is inequitably distributed by race, though other studies have found no relationship or negative inequity. These conflicting results and the single-city nature of the current literature suggest a need for a research synthesis. Using a systematic literature search and meta-analytic techniques, we examined the relationship between urban forest cover and race. First, we estimated the average (unconditional) relationship between urban forest cover and race across studies (studies = 40; effect sizes = 388). We find evidence of significant race-based inequity in urban forest cover. Second, we included characteristics of the original studies and study sites in meta-regressions to illuminate drivers of variation of urban forest cover between studies. Our meta-regressions reveal that the relationship varies across racial groups and by study methodology. Models reveal significant inequity on public land and that environmental and social characteristics of cities help explain variation across studies. As tree planting and other urban forestry programs proliferate, urban forestry professionals are encouraged to consider the equity consequences of urban forestry activities, particularly on public land.

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Who lives in greener neighborhoods? The distribution of street greenery and its association with residents’ socioeconomic conditions in Hartford, Connecticut, USA

Cited by 161 publications

References 37 publications

The effects of “greening” urban areas on the perceptions of tranquillity

The effects of “greening” urban areas on the perceptions of tranquillity

Impacts of Street-Visible Greenery on Housing Prices: Evidence from a Hedonic Price Model and a Massive Street View Image Dataset in Beijing

The relationship between urban forests and race: A meta-analysis

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