Dynamics of urban green spaces : assessing spatio-temporal changes in Shenzhen (China)

2009 ◽  
Author(s):  
Man-yee, Caroline Law
Geoadria ◽  
2020 ◽  
Vol 25 (1) ◽  
pp. 53-89
Author(s):  
Darija Perković ◽  
Vuk Tvrtko Opačić

Urban green spaces, especially those in the coastal areas, are of great and multiple importance for sustainable urban and tourism development. At the same time, they are endangered by excessive construction caused by the urbanisation process. Increased urbanisation occurs as the consequence of spatial expansion of the built-up land of coastal towns due to strong littoralisation processes, but also as a consequence of an increasing coastal tourism development. Scientific research on the connection between urbanisation and tourism is conducted in various scientific areas and disciplines, representing urban green spaces mainly in a wider context, rarely as immediate objects of research. Understanding and comparison of research results are made difficult due to non-standardised methodology and terminology applied in research. Therefore, the main purpose of this paper is to provide an overview of methods applied in research of urban green spaces and, on its grounds, to select methodological approaches applicable for geographic research on urban green spaces within the context of coastal tourism development. The meaning of “urban green space” and its relationship with tourism were defined. The subject of research, terminology and classification of urban green spaces, spatial and temporal context of research, applied methodology and interpretation of results were analysed. Two most frequent methodological approaches in urban green spaces research in the context of coastal tourism development were identified: a) Comparative spatio-temporal research of transformation of urban green space due to tourism development and b) Research on attitudes and perception of urban green space users within the context of tourism development. The identified approaches are applicable in geographic research of urban green spaces, and they are based on methodological background of the positivist and humanistic- behavioural approach in contemporary geography.


2021 ◽  
Vol 13 (14) ◽  
pp. 7863
Author(s):  
Antonios Kolimenakis ◽  
Alexandra D. Solomou ◽  
Nikolaos Proutsos ◽  
Evangelia V. Avramidou ◽  
Evangelia Korakaki ◽  
...  

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.


2021 ◽  
Vol 70 ◽  
pp. 102603
Author(s):  
Lucía Rodriguez-Loureiro ◽  
Lidia Casas ◽  
Mariska Bauwelinck ◽  
Wouter Lefebvre ◽  
Charlotte Vanpoucke ◽  
...  

2021 ◽  
Vol 10 (4) ◽  
pp. 251
Author(s):  
Christina Ludwig ◽  
Robert Hecht ◽  
Sven Lautenbach ◽  
Martin Schorcht ◽  
Alexander Zipf

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.


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