Understanding recreation demands and visitor characteristics of urban green spaces: A use of the zero-inflated negative binomial model

2021 ◽  
Vol 65 ◽  
pp. 127332 ◽  
Author(s):  
Hyerin Kim ◽  
Yasushi Shoji ◽  
Takahiro Tsuge ◽  
Tetsuya Aikoh ◽  
Koichi Kuriyama
2020 ◽  
Vol 10 (1) ◽  
Author(s):  
H.M.L.P. Karunarathne ◽  
U.A.D.P. Gunawardena

Urban green spaces could bring cities and their inhabitants with vitality in terms of ecological, social, and economic benefits. Recognising and estimation of economic values of parks is important for their sound management and for justification of the current use over various alternative uses. Non recognition of values of the services of such green spaces may lead to unsound management and degradation resulting in depriving urban communities of those benefits. Viharamahadevi Urban Park is the oldest and largest park in Colombo which offers recreation and green space to the inhabitants and visitors of the city. The purpose of this study is to estimate the recreational value of the Park using Individual Travel Cost Method (ITCM). Visitors of Viharamahadevi Urban Park selected using purposive sampling method were interviewed with a structured questionnaire. Data on visitation frequencies, preferences for park characteristics and socio economic parameters were collected using face-to-face interviews. In order to cater for the data issues of the ITCM, a zero truncated negative binomial regression analysis was performed in estimating the demand function. Results indicate that household income and the enjoyment of the visitors significantly and positively determine the number of visits made by the people. The annual social welfare generated from the recreational value of the Viharamahadevi Park is LKR 55.7 billion. The estimated value will be able to provide significant guidance towards future park management decisions.


2019 ◽  
Vol 47 (2) ◽  
pp. 287-305 ◽  
Author(s):  
Eghbal Zandkarimi ◽  
Abbas Moghimbeigi ◽  
Hossein Mahjub ◽  
Reza Majdzadeh

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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