Urban green and blue: Who values what and where?

Sander, Heather A.; Chang, Zhao

doi:10.1016/j.landusepol.2014.07.021

Cited by 89 publications

(41 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Furthermore, the land take-related covariates can be non-stationary. The most suitable approach to deal with non-stationary explanatory variables is represented by geographically-weighted regressions (GWRs) [64], which are based on the implementation of as many regression models as the records concerning land take. This implies as many regressions as the number of municipalities, whose estimates are based on the observations belonging to neighborhoods defined through an optimal bandwidth centered in every municipality.…”

Section: The Outcomes Of the Regression Modelmentioning

confidence: 99%

“…The optimal bandwidth is calculated by means of a fixed kernel function, or by means of an ad hoc kernel function based on the Akaike algorithm [65], or through an algorithm related to the minimization of the residuals sum of squares [66]. The optimal bandwidths identified through Akaike's or Fotheringham's algorithms are equal-sized sets of observations [64,67]. In the case of our dataset, we do not have any prior hypotheses concerning the size of the optimal neighborhood (bandwidth); on the other hand, the implementation of Akaike's and of Fotheringham's algorithms identifies large local sets of observations (close to three quarters) and the resulting estimates of the coefficients of the covariates are very similar to one another and to the global regression model.…”

Section: The Outcomes Of the Regression Modelmentioning

confidence: 99%

See 1 more Smart Citation

The Influence of Natura 2000 Sites on Land-Taking Processes at the Regional Level: An Empirical Analysis Concerning Sardinia (Italy)

Lai

Zoppi

2017

Sustainability

View full text Add to dashboard Cite

This article focuses on the role that the provisions of the Natura 2000 Network play in affecting land-taking processes by looking at the Italian region of Sardinia, where strict rules on land development have been enforced since 1993 through regional landscape plans and where an extensive Natura 2000 Network, covering nearly 19% of the regional land mass, was established in compliance with Directive 92/43/EEC on the conservation of natural habitats and of wild fauna and flora and Directive 2009/147/EC on the conservation of wild birds. The results and inferences of our study could be easily generalized to other European Union regions, provided that similar geographic datasets are available. By shedding some light on the relation between land take on the one hand, and nature conservation and landscape protection on the other, it is possible to enhance regional planning policies to prevent or hinder land-taking processes, and, by doing so, to help implementing the European Commission recommendation on no net land take by 2050 into the EU regional policies.

show abstract

Section: The Outcomes Of the Regression Modelmentioning

confidence: 99%

Section: The Outcomes Of the Regression Modelmentioning

confidence: 99%

The Influence of Natura 2000 Sites on Land-Taking Processes at the Regional Level: An Empirical Analysis Concerning Sardinia (Italy)

Lai

Zoppi

2017

Sustainability

View full text Add to dashboard Cite

show abstract

“…From an analysis of the literature, three main categories of variable can be identified: structural, environmental and territorial variables [32]. The first set of variables consists of all the variables that characterize the structural aspects of properties.…”

Section: Methodsmentioning

confidence: 99%

Canals vs. Streams: To What Extent Do Water Quality and Proximity Affect Real Estate Values? A Hedonic Approach Analysis

Bonetti

Corsi

Orsi

et al. 2016

Water

View full text Add to dashboard Cite

Abstract:The presence of and proximity to water influences human settlement decisions, because water has been able to characterize the environment and affect human health since prehistoric times. Many scholars have studied the effects of environmental amenities on the real estate market; however, only a few of them have explored the effects of water. This study stresses the role of water with a focus on the dichotomy between artificial and natural waterways (canals vs. streams), which involves managerial and qualitative differences. A hedonic approach, based on a large web scraped and geo-referenced dataset of 10,530 observations, is used to analyze the effect of water proximity and quality on residential housing prices in the province of Milan (Italy). Our main results show a significant but conflicting impact of water proximity on real estate value: reducing the canal distance, we observe an increase in the residential housing sale price, in urban more than peri-urban environments; in contrast, reducing the stream distance, our results show decreases in property value. Moreover, a significant moderating effect of water quality on distance from streams is identifiable.

show abstract

“…Brisbane home-buyers may be signalling their support for desirable features such as shadier and attractive footpaths and more walkable neighbourhoods that come with leafier streets, as suggested by Wachter and Gillen (2006). Leafy streets may further increase in value as tree cover on private property decreases (Sander and Zhao, 2015).…”

Section: Returns On Investmentmentioning

confidence: 99%

“…Most importantly, the Brisbane result was yet another example of the geographic and contextual variations in effects of street trees on property values, and an important caution against inferring results from one city, or even one neighbourhood within a city (Sander and Zhao, 2015), to estimate the property value benefits in another. The "i-Tree Streets" generic property value algorithm is currently based a 1988 study result of the effect of front yard trees on house sale price (Anderson & Cordell, 1988), then used to derive a rate for property value benefits per square metre of street tree canopy, and adjusted only by the number of street trees, their estimated annual growth in leaf area and median property price.…”

Section: Improving the Accuracy Of Property Value Benefit Measures Inmentioning

confidence: 99%

Making the case for planning and investment in green infrastructure: a case study of street trees and property value impacts in Brisbane, Australia

Plant¹

View full text Add to dashboard Cite

Trees in cities grow closest to where people live, work and travel, and offer a wide range of ecosystem services (ES). Emerging urban forest research has focused on helping communities and urban tree managers build awareness of the connections between urban forest structure, ES and the quality of human life in rapidly growing cities. Yet translation of the proliferation of urban ES scholarship to urban forest policy, planning and investment has been inconsistent. This study focuses on the robustness and relevance of measures and values of urban ES being presented to decision makers. Opportunities were identified to improve contemporary techniques for gathering and applying evidence to strengthen the case for strategic planning and investment in street trees. For example, a new approach to pre-stratification in sample survey design to account for unevenness in the density and distribution of street trees across 115 residential suburbs, in the case study city of Brisbane, Australia, was used to confirm that their goal of increasing residential footpath tree shade cover from 35 per cent in 2010 to 50 per cent by 2031 was achievable. A strong case for continuing to invest was also justified by analysing additional data about 2,299 houses that sold between 2008 and 2010, gathered from within the same 80 sample sites as the street tree sample survey.Hedonic price modelling revealed that home-buyers were willing to pay a premium for houses with 35 per cent street tree cover nearby. These premiums translated to annual property value benefits that exceeded annual costs of street tree planting and maintenance in Brisbane in 2009-10 by a ratio of between 2.06 and 2.20:1. Returns of almost AU$1 million per year to the local government and an additional AU$1-1.2 million per year to the state government in property tax revenues were also identified. This approach advances the broader use of ES valuation as both a business case development and policy revision tool.

show abstract

Urban green and blue: Who values what and where?

Cited by 89 publications

References 55 publications

The Influence of Natura 2000 Sites on Land-Taking Processes at the Regional Level: An Empirical Analysis Concerning Sardinia (Italy)

The Influence of Natura 2000 Sites on Land-Taking Processes at the Regional Level: An Empirical Analysis Concerning Sardinia (Italy)

Canals vs. Streams: To What Extent Do Water Quality and Proximity Affect Real Estate Values? A Hedonic Approach Analysis

Making the case for planning and investment in green infrastructure: a case study of street trees and property value impacts in Brisbane, Australia

Contact Info

Product

Resources

About