Changes in urban green spaces’ value perception: A meta-analytic benefit transfer function for European cities

2021 ◽  
Vol 101 ◽  
pp. 105116
Author(s):  
Francesca Diluiso ◽  
Gianni Guastella ◽  
Stefano Pareglio
Keyword(s):  
Transfer Function ◽  
Benefit Transfer ◽  
Green Spaces ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Value Perception ◽  
European Cities

scholarly journals Reading Urban Green Morphology to Enhance Urban Resilience: A Case Study of Six Southern European Cities

2021 ◽  
Vol 13 (16) ◽  
pp. 9163
Author(s):  
Michèle Pezzagno ◽  
Barbara M. Frigione ◽  
Carla S. S. Ferreira
Keyword(s):  
Ecosystem Services ◽  
Spatial Patterns ◽  
Natural Capital ◽  
Well Being ◽  
Urban Morphology ◽  
Green Spaces ◽  
Urban Resilience ◽  
Urban Green ◽  
Urban Green Spaces ◽  
European Cities

A loss of natural capital within cities and their surrounding areas has been noticed over the last decades. Increasing development associated with higher sealing rates has caused a general loss of Urban Green Spaces (UGS) within the urban environment, whereas urban sprawl and the improvement of road networks have deeply fragmented the surrounding landscape and jeopardized ecosystems connectivity. UGS are an essential component of the urban system, and their loss has a greater impact on, e.g., ecological and hydrological processes, threatening human well-being. Different types and spatial configurations of UGS may affect their own ability to provide ecosystem services, such as biodiversity support and water regulation. Nevertheless, the study of UGS spatial patterns is a research branch poorly addressed. Moreover, UGS analyses are mainly focused on public and vast green spaces, but seldom on informal, private, and interstitial ones, returning a myopic representation of urban green areas. Therefore, this study investigates the UGS spatial patterns within six Southern European cities, using the urban morphology analysis to assess all urban vegetated lands. Results revealed three main Urban Green Spatial Patterns (UGSPs): Fragmented, Compact, and Linear Distributions. UGSPs taxonomy represents a novelty in the urban morphology field and may have important implications for the ability to provide ecosystem services and, thus, human well-being.

The role of urban green spaces in care facilities for elderly people across European cities

2017 ◽  
Vol 27 ◽  
pp. 203-213 ◽  
Author(s):  
Martina Artmann ◽  
Xianwen Chen ◽  
Cristian Iojă ◽  
Angela Hof ◽  
Diana Onose ◽  
...  
Keyword(s):  
Elderly People ◽  
Green Spaces ◽  
Urban Green ◽  
Urban Green Spaces ◽  
European Cities ◽  
Care Facilities

scholarly journals Modelling Accessibility to Urban Green Areas Using Open Earth Observations Data: A Novel Approach to Support the Urban SDG in Four European Cities

2021 ◽  
Vol 13 (3) ◽  
pp. 422
Author(s):  
Gregory Giuliani ◽  
Ekkehard Petri ◽  
Eduard Interwies ◽  
Veronika Vysna ◽  
Yaniss Guigoz ◽  
...  
Keyword(s):  
Public Space ◽  
Urban Areas ◽  
Urban Population ◽  
Low Cost ◽  
Green Spaces ◽  
Sustainable Urban Development ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Earth Observations ◽  
European Cities

Cities are recognised as key enablers for the world’s sustainable future. Urban sprawl and inefficient use of land are important issues significantly impacting the provision and use of open green spaces. The United Nations Sustainable Development Goal (SDG) indicator 11.7.1 aims at globally monitoring the amount of land that is dedicated by cities for public space. In Europe, the indicator “Share of urban population without green urban areas in their neighbourhood” is supposed to correspond to the SDG11.7.1 but is currently on-hold due to methodological issues and lack of data. Moreover, to efficiently assess public space conditions, timely and spatially disaggregated information is essential but not yet widely adopted by urban practitioners. Hereafter, we use a combination of satellite and crowdsourced Earth Observations (EO) to model physical accessibility to urban green spaces in four European cities. Findings suggest that it is technically feasible to derive information on the share of urban population without green urban areas in their neighbourhood. Results demonstrate that the proposed methodology represents a consistent, valid, reliable, low-cost, timely and continuous source of information for sustainable urban development. Open and free EO data can be a good complement to enhance official and traditional statistics on urban areas facilitating EU reporting against the SDG indicator for better comparison between EU countries.

scholarly journals The role of urban trees in reducing land surface temperatures in European cities

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Jonas Schwaab ◽  
Ronny Meier ◽  
Gianluca Mussetti ◽  
Sonia Seneviratne ◽  
Christine Bürgi ◽  
...  
Keyword(s):  
Land Surface ◽  
Urban Trees ◽  
Green Spaces ◽  
Urban Fabric ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Continental Scale ◽  
European Cities ◽  
Surface Temperatures ◽  
Land Surface Temperatures

AbstractUrban trees influence temperatures in cities. However, their effectiveness at mitigating urban heat in different climatic contexts and in comparison to treeless urban green spaces has not yet been sufficiently explored. Here, we use high-resolution satellite land surface temperatures (LSTs) and land-cover data from 293 European cities to infer the potential of urban trees to reduce LSTs. We show that urban trees exhibit lower temperatures than urban fabric across most European cities in summer and during hot extremes. Compared to continuous urban fabric, LSTs observed for urban trees are on average 0-4 K lower in Southern European regions and 8-12 K lower in Central Europe. Treeless urban green spaces are overall less effective in reducing LSTs, and their cooling effect is approximately 2-4 times lower than the cooling induced by urban trees. By revealing continental-scale patterns in the effect of trees and treeless green spaces on urban LST our results highlight the importance of considering and further investigating the climate-dependent effectiveness of heat mitigation measures in cities.

scholarly journals The Socioeconomic Welfare of Urban Green Areas and Parks; A Literature Review of Available Evidence

2021 ◽  
Vol 13 (14) ◽  
pp. 7863
Author(s):  
Antonios Kolimenakis ◽  
Alexandra D. Solomou ◽  
Nikolaos Proutsos ◽  
Evangelia V. Avramidou ◽  
Evangelia Korakaki ◽  
...  
Keyword(s):  
Literature Review ◽  
Urban Policy ◽  
Green Spaces ◽  
Future Research ◽  
Natural Environments ◽  
Exclusion Criteria ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Urban Green Areas ◽  
Green Areas

Urban green areas present a lucid example for the harmonious co-existence of the artificial and natural environments best illustrated by their interdependence and interconnection in urban spaces. Urban green areas are essential for the health and wellbeing of citizens. The present study aimed to investigate those multiple benefits for citizens that arise through the existence of urban green areas, as well as important policy dimensions that should be considered when designing the expansion of urban green spaces in urban development. The study was based on a literature review to examine for available evidence on the benefit levels derived by the existence of urban green areas. An extended literature review was followed by a structured review, based on specific inclusion and exclusion criteria, which partly followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The search was conducted in two databases, and a total of 1674 articles and abstracts were identified through the database searches. After removing 114 duplicates, 1560 records were initially screened based on title and abstract. Following inclusion and exclusion criteria, 14 articles were incorporated in the structured review and a total of 47 in the extended review. The extended literature review identified 33 additional articles examining aspects of benefits that did not fall under the pre-established inclusion and exclusion criteria used in the structured review, such as health benefits and other social parameters associated with urban green spaces. The selected studies were allocated in five principal groups according to study types: three of the them consisted of studies employing “willingness to pay” (WTP) methods, five were based on property values, two studies assigned monetary values, while another two assigned CO2 values, and, finally, two studies were based on qualitative criteria. The results indicated benefits to citizens and increased welfare levels gained by the existence of urban green areas. The conducted review revealed a number of findings and recommendations that could direct future research and urban policy. Those hints could assist local authorities as well as stakeholders in order to measure and assess the benefits of green spaces and urban parks and promote measures and programs to assist their further deployment.

Social inequalities in the associations between urban green spaces, self-perceived health and mortality in Brussels: Results from a census-based cohort study

2021 ◽  
Vol 70 ◽  
pp. 102603
Author(s):  
Lucía Rodriguez-Loureiro ◽  
Lidia Casas ◽  
Mariska Bauwelinck ◽  
Wouter Lefebvre ◽  
Charlotte Vanpoucke ◽  
...  
Keyword(s):  
Cohort Study ◽  
Social Inequalities ◽  
Perceived Health ◽  
Green Spaces ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Health And Mortality

scholarly journals Mapping Public Urban Green Spaces Based on OpenStreetMap and Sentinel-2 Imagery Using Belief Functions

2021 ◽  
Vol 10 (4) ◽  
pp. 251
Author(s):  
Christina Ludwig ◽  
Robert Hecht ◽  
Sven Lautenbach ◽  
Martin Schorcht ◽  
Alexander Zipf
Keyword(s):  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Open Data ◽  
Green Spaces ◽  
Data Sets ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Urban Quality Of Life ◽  
Shafer Theory ◽  
Sentinel 2

Public urban green spaces are important for the urban quality of life. Still, comprehensive open data sets on urban green spaces are not available for most cities. As open and globally available data sets, the potential of Sentinel-2 satellite imagery and OpenStreetMap (OSM) data for urban green space mapping is high but limited due to their respective uncertainties. Sentinel-2 imagery cannot distinguish public from private green spaces and its spatial resolution of 10 m fails to capture fine-grained urban structures, while in OSM green spaces are not mapped consistently and with the same level of completeness everywhere. To address these limitations, we propose to fuse these data sets under explicit consideration of their uncertainties. The Sentinel-2 derived Normalized Difference Vegetation Index was fused with OSM data using the Dempster–Shafer theory to enhance the detection of small vegetated areas. The distinction between public and private green spaces was achieved using a Bayesian hierarchical model and OSM data. The analysis was performed based on land use parcels derived from OSM data and tested for the city of Dresden, Germany. The overall accuracy of the final map of public urban green spaces was 95% and was mainly influenced by the uncertainty of the public accessibility model.

Sign in / Sign up

Export Citation Format

Share Document