A review of big data applications in studies of urban green space

Li, Wenpei1,2; Song, Yang3; Herr, Christiane M.2; Stouffs, Rudi1

2024-11-01

10.1016/j.ufug.2024.128524

URBAN FORESTRY & URBAN GREENING   影响因子和分区

1618-8667

1610-8167

Big data has garnered substantial attention from urban researchers and policymakers, offering new perspectives for assessing the urban environment and supplementing traditional datasets. The increasing number of studies analyzing urban green space (UGS) topics using multiple sources of big data necessitates an in-depth review to guide future research. Existing reviews often narrow their focus to a single type of big data and offer limited coverage of UGS topics. In contrast, this review comprehensively synthesizes 445 UGS articles using three widely used types of big data, aiming to identify ongoing research trends and current gaps to inform future studies in this field. Based on bibliometric and thematic analyses, we identified five key topics: UGS assessment, human psychosocial responses to UGS, ecosystem services of UGS, UGS benefits, and UGS management tools. Research observations are summarized from a procedural perspective. Issues include the impacts of inherent big data limitations, challenges in using different data sources, and difficulties in explaining conclusions. Opportunities span from exploring new topics, developing methods to reduce biases, and applying advanced computational approaches. This review contributes to the current knowledge of UGS research using big data by synthesizing various types of big data, analyzing methodologies from new perspectives, and summarizing observations, issues and opportunities across multiple dimensions. It provides a reference for future UGS studies that apply big data.

Big data Future opportunities Systematic review Urban green space

SCI ; SSCI

英语

其他

Plant Sciences ; Environmental Sciences & Ecology ; Forestry ; Urban Studies

Plant Sciences ; Environmental Studies ; Forestry ; Urban Studies

WOS:001327932500001

ELSEVIER GMBH

Web of Science

1.Natl Univ Singapore, Dept Architecture, Singapore, Singapore
2.Southern Univ Sci & Technol, Sch Design, Shenzhen, Peoples R China
3.Texas A&M Univ, Dept Landscape Architecture & Urban Planning, College Stn, TX USA

Li, Wenpei,Song, Yang,Herr, Christiane M.,et al. A review of big data applications in studies of urban green space[J]. URBAN FORESTRY & URBAN GREENING,2024,101.

Li, Wenpei,Song, Yang,Herr, Christiane M.,&Stouffs, Rudi.(2024).A review of big data applications in studies of urban green space.URBAN FORESTRY & URBAN GREENING,101.

Li, Wenpei,et al."A review of big data applications in studies of urban green space".URBAN FORESTRY & URBAN GREENING 101(2024).