A systematic review of urban green space research over the last 30 years: A bibliometric analysis

被引:59
作者
Farkas, Jeno Zsolt [1 ]
Hoyk, Edit [1 ,2 ]
de Morais, Mariana Batista [3 ]
Csomos, Gyorgy [4 ]
机构
[1] Ctr Econ & Reg Studies, Great Plain Res Dept, 3 Rakocz Ut, H-6000 Kecskemet, Hungary
[2] John von Neumann Univ, 10 Izsak Ut, H-6000 Kecskemet, Hungary
[3] Univ Debrecen, Doctoral Sch Earth Sci, Egyet Ter 1, H-4032 Debrecen, Hungary
[4] Univ Debrecen, Dept Civil Engn, 2-4 Otemeto Ut, H-4028 Debrecen, Hungary
基金
匈牙利科学研究基金会;
关键词
Urban green space; Urban forest; Bibliometric analysis; Keyword cluster; Keyword burst; VOS Viewer; ENVIRONMENTAL JUSTICE; PHYSICAL-ACTIVITY; STRESS RECOVERY; CHINESE CITIES; PUBLIC-HEALTH; PARKS; URBANIZATION; AFFORESTATION; BENEFITS; DEFORESTATION;
D O I
10.1016/j.heliyon.2023.e13406
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Worldwide, due to rapid urbanization, the provision of urban green spaces (UGSs) has become a primary goal of urban planning. As such, research on the benefits, effects, and challenges of UGSs has gained widespread attention among scholars. This paper comprehensively analyzes three decades of UGS research and its evolution; it conducts a bibliometric analysis of approximately 4000 articles and reviews from the Web of Science platform to discover the patterns and trends characterizing UGS research over time. We found that the pioneers of initial UGS research were the United States and Canada, whereas recently the European Union and China have become the global engines of research in the field. UGS research initially focused on studying urban forests, gradually shifting toward green spaces located in inner urban areas. Early on, researchers investigated UGSs (i.e., urban forests) from an ecological perspective. However, the most current research phase focuses on the social aspects of UGSs, characterized by such keywords as environmental justice and accessibility. Furthermore, the introduction of geographic information systems (GIS) has given new impetus to the evolution of UGS research and has remained the most used technological advancement besides remote sensing techniques. As the social aspects of UGS research have gained importance, new research methods have been employed, such as machine learning, big data and social media data analysis, and artificial intelligence, most recently.
引用
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页数:14
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