Content area
Low-impact development (LID) practices are critical for mitigating urban stormwater runoff and alleviating flood risks. The strategic placement of LID facilities is paramount to optimizing their efficacy within urban landscapes. This study conducts a comprehensive bibliometric analysis of LID-related literature over the past decade, utilizing data visualization tools to elucidate key disciplines, publication trends, and the prevalence of various optimization algorithms. We delve into the application of multi-objective optimization (MOO) algorithms in LID facility layout, examining their practical applications, theoretical underpinnings, and case studies. The paper also scrutinizes the strengths and limitations of these algorithms, proposing future research trajectories that leverage MOO to enhance LID’s role in urban stormwater management.
Details
Scientific visualization;
Urban environments;
Stormwater management;
Algorithms;
Facilities management;
Optimization;
Storm runoff;
Urban runoff;
Environmental risk;
Multiple objective analysis;
Water management;
Stormwater runoff;
Decision making;
Plant layout;
Collaboration;
Computer science;
Trends;
Floods;
Landscape architecture;
Keywords;
Water quality;
Bibliometrics;
Legal documents;
Planning;
Genetic algorithms;
Water resources;
Runoff;
Linear programming;
Optimization algorithms;
Green infrastructure
1 Beijing Forestry University, School of Information Science and Technology, Beijing, China (GRID:grid.66741.32) (ISNI:0000 0001 1456 856X)
2 Beijing Forestry University, School of Landscape Architecture, Beijing, China (GRID:grid.66741.32) (ISNI:0000 0001 1456 856X)
3 Beijing BLDJ Landscape Architecture Institute Co., LTD, Beijing, China (GRID:grid.66741.32)