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Updated: Jun 15, 2025

Design and Construction of an Urban Runoff Research Facility
Published on: August 8, 2014
Data and methods for assessing urban green infrastructure using GIS: A systematic review.
Xiaomian Wu1, Jianquan Liu1, Yukun Hou2
1College of Art, Suzhou University of Science and Technology, Suzhou, China.
Geographic Information Systems (GIS) enhance Urban Green Infrastructure (UGI) planning. Assessments now integrate diverse data, AI, and interdisciplinary approaches, emphasizing inclusivity for sustainable urban development.
Area of Science:
- Urban Planning and Environmental Science
- Geographic Information Systems (GIS) applications in environmental management
Background:
- Urban Green Infrastructure (UGI) planning, construction, and optimization benefit from Geographic Information Systems (GIS) assessments.
- A comprehensive review is needed to clarify research methods, scope, trends, and challenges in GIS-based UGI development.
Purpose of the Study:
- To synthesize research on GIS-based UGI assessments from 2020-2024.
- To identify key focus areas, data sources, analytical methods, and objectives.
- To reveal trends in interdisciplinarity and challenges in GIS-based UGI research.
Main Methods:
- Systematic literature review synthesizing findings from Web of Science (WOS) and Scopus databases.
- Analysis of 20 selected articles focusing on scope, data, models, analyses, and objectives of GIS-based UGI assessments.
- Examination of trends in accessibility, ecosystem services, resilience, environmental justice, social benefits, and aesthetics.
Main Results:
- GIS-based UGI assessments increasingly focus on accessibility, ecosystem services, resilience, environmental justice, social benefits, and aesthetics.
- Integration of diverse data and AI has improved assessment comprehensiveness and data analysis.
- Significant increase in interdisciplinarity, incorporating methods from ecology, computer science, urban planning, sociology, and aesthetics.
Conclusions:
- GIS is crucial for empirical UGI planning and sustainable urban development.
- While AI and diverse data enhance assessments, inclusive field research with urban residents is vital.
- Interdisciplinary approaches are essential for comprehensively addressing ecological, social, economic, and humanistic factors in UGI development.
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