Cars, trees, and house prices: Evaluation of the residential environment as a function of numbers of cars and trees in the street

Staats, Henk; Swain, Ritwik

doi:10.1016/j.ufug.2019.126554

Cited by 13 publications

(9 citation statements)

References 34 publications

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“…The results of the present study align with those obtained by traditional authors such as Kaplan and colleagues [55], but also with more recent studies [56,57], where subjects, when exposed to photographic stimuli, in general preferred urban scenes with trees/nature over images lacking these characteristics. The results of the present study also corroborate those of Staats, Swain and Cars [58] where subjects rated urban buildings more favourably when they were set in a natural context. This preference might be attributed to the restorative effects and benefits of vegetation on physical and psychological health [59,60] and the self-perceived restorative effect of vegetation [61].…”

Section: Discussionsupporting

confidence: 88%

Strategic Design Approaches for Eliciting the Perception of ‘Prestige’ in Housing Consumers

Montañana,

Nolé,

Llinares

2024

Buildings

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In the current real estate landscape, there is a growing trend to focus on adding value to products to address the customer’s affective/emotional perspective, his/her perceptions of the ‘Prestige’ of properties being crucial for his/her final assessments of the products. This study delves into the design elements that shape perceptions of ‘Prestige’ using Kansei engineering in 235 participants who evaluated various real estate promotions through: (1) a set of 60 adjectives and (2) reason for purchase (residence or investment). A first factor analysis of the set of adjectives yielded 15 independent axes. A subsequent linear regression indicated that the ‘Prestige’ axis was among the four most important factors in/drivers of property purchase decisions. In the second phase, 62 design elements (and their respective categories) of real estate promotions were identified to establish 16 groups. A linear regression determined that Information presentation and Building were the groups of elements with the greatest impact on subjects’ perceptions of ‘Prestige’. A subsequent Univariate General Linear Model analysis identified the design elements significant for each group, such as Development type and Building shape, respectively. Finally, a Bonferroni post hoc test identified the important categories in each identified design element as Facing blocks and Stepped.

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Section: Discussionsupporting

confidence: 88%

Strategic Design Approaches for Eliciting the Perception of ‘Prestige’ in Housing Consumers

Montañana,

Nolé,

Llinares

2024

Buildings

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“… 5 , 11 , 12 , 30 , 31 These associations may be due to the fact that green and blue spaces are highly valued, especially in urban areas, and proximity to natural environments and private greenery may increase house prices. 32 – 34 Another possible explanation could be that there is less green infrastructure investment in low SES and minority race areas than in other areas. 35 We note that associations of SES measures with NDVI and NatureScore in urban tracts were weakest for %

.…”

Section: Discussionmentioning

confidence: 99%

Racial, Ethnic, and Socioeconomic Disparities in Multiple Measures of Blue and Green Spaces in the United States

Klompmaker

Hart

Bailey³

et al. 2023

Environ Health Perspect

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Background: Several studies have evaluated whether the distribution of natural environments differs between marginalized and privileged neighborhoods. However, most studies restricted their analyses to a single or handful of cities and used different natural environment measures. Objectives: We evaluated whether natural environments are inequitably distributed based on socioeconomic status (SES) and race/ethnicity in the contiguous United States. Methods: We obtained SES and race/ethnicity data (2015–2019) for all U.S. Census tracts. For each tract, we calculated the Normalized Different Vegetation Index (NDVI) for 2020, NatureScore (a proprietary measure of the quantity and quality of natural elements) for 2019, park cover for 2020, and blue space for 1984–2018. We used generalized additive models with adjustment for potential confounders and spatial autocorrelation to evaluate associations of SES and race/ethnicity with NDVI, NatureScore, park cover, and odds of containing blue space in all tracts ( ) and in urban tracts ( ). To compare effect estimates, we standardized NDVI, NatureScore, and park cover so that beta coefficients presented a percentage increase or decrease of the standard deviation (SD). Results: Tracts with higher SES had higher NDVI, NatureScore, park cover, and odds of containing blue space. For example, urban tracts in the highest median household income quintile had higher NDVI [44.8% of the SD (95% CI: 42.8, 46.8)] and park cover [16.2% of the SD (95% CI: 13.5, 19.0)] compared with urban tracts in the lowest median household income quintile. Across all tracts, a lower percentage of non-Hispanic White individuals and a higher percentage of Hispanic individuals were associated with lower NDVI and NatureScore. In urban tracts, we observed weak positive associations between percentage non-Hispanic Black and NDVI, NatureScore, and park cover; we did not find any clear associations for percentage Hispanics. Discussion: Multiple facets of the natural environment are inequitably distributed in the contiguous United States. https://doi.org/10.1289/EHP11164

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“…For the present work, 471 healthy and well-established individual trees belonging to 13 temperatures compared to surface materials with high albedo. We were interested in identifying species-specific and also surface-specific trends and thus did not control tree age, canopy size or any environmental parameter, except time of day and that no meaningful rainfall had occurred in the days preceding our data collections.…”

Section: Tree Morphological Measurementsmentioning

confidence: 99%

“…For the present work, 471 healthy and well-established individual trees belonging to 13 1. Figure 1 shows examples of common tree species and surface types that were examined in the study.…”

Section: Tree Morphological Measurementsmentioning

confidence: 99%

“…It was estimated that urban trees in the United States reduce the national residential energy consumption by 7.2% per year and provide a reduction of 38.8 million MWh of electricity (worth USD 4.7 billion) [11]. The presence of trees is also linked with higher property values [12][13][14]. As a direct effect on the human body, tree shade alters the perceived temperature which depends more on radiation and less on convection of heat from the local environment [15].…”

Section: Introductionmentioning

confidence: 99%

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Temperature Reduction in Urban Surface Materials through Tree Shading Depends on Surface Type Not Tree Species

T.U.N.

Tjoelker

Pfautsch

2020

Forests

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Trees play a vital role in urban cooling. The present study tested if key canopy characteristics related to tree shade could be used to predict the cooling potential across a range of urban surface materials. During the austral summer of 2018–2019, tree and canopy characteristics of 471 free-standing trees from 13 species were recorded across Greater Sydney, Australia. Stem girth and tree height, as well as leaf area index and ground-projected crown area was measured for every tree. Surface temperatures were recorded between noon (daylight saving time) and 3:00 p.m. under the canopy of each tree in the shade and in full sun to calculate the temperature differential between adjacent sunlit and shaded surfaces (∆Ts). The limited control over environmental parameters was addressed by using a large number of randomly selected trees and measurement points of surface temperatures. Analyses revealed that no systematic relationship existed among canopy characteristics and ∆Ts for any surface material. However, highly significant differences (p < 0.001) in ∆Ts existed among surface materials. The largest cooling potential of tree shade was found by shading bark mulch (∆Ts = −24.8 °C ± 7.1), followed by bare soil (∆Ts = −22.1 °C ± 5.5), bitumen (∆Ts = −20.9 °C ± 5.8), grass (∆Ts = −18.5 °C ± 4.8) and concrete pavers (∆Ts = −17.5 °C ± 6.0). The results indicate that surface material, but not the tree species, matters for shade cooling of common urban surfaces. Shading bark mulch, bare soil or bitumen will provide the largest reductions in surface temperature, which in turn results in effective mitigation of radiant heat. This refined understanding of the capacity of trees to reduce thermal loads in urban space can increase the effectiveness of urban cooling strategies.

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Cars, trees, and house prices: Evaluation of the residential environment as a function of numbers of cars and trees in the street

Cited by 13 publications

References 34 publications

Strategic Design Approaches for Eliciting the Perception of ‘Prestige’ in Housing Consumers

Strategic Design Approaches for Eliciting the Perception of ‘Prestige’ in Housing Consumers

Racial, Ethnic, and Socioeconomic Disparities in Multiple Measures of Blue and Green Spaces in the United States

Temperature Reduction in Urban Surface Materials through Tree Shading Depends on Surface Type Not Tree Species

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