Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India

Research Article

Application and Decision Support of Multi-Objective Optimization Algorithm in Urban Landscape Planning

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342645,
        author={Jiao  Xu},
        title={Application and Decision Support of Multi-Objective Optimization Algorithm in Urban Landscape Planning},
        proceedings={Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India},
        publisher={EAI},
        proceedings_a={ICSETPSD},
        year={2024},
        month={1},
        keywords={multi-objective optimization urban landscape landscape planning decision support},
        doi={10.4108/eai.17-11-2023.2342645}
    }
    
  • Jiao Xu
    Year: 2024
    Application and Decision Support of Multi-Objective Optimization Algorithm in Urban Landscape Planning
    ICSETPSD
    EAI
    DOI: 10.4108/eai.17-11-2023.2342645
Jiao Xu1,*
  • 1: Department of Art and Design, Shaanxi Fashion Engineering University, Xi’an 712046, Shaanxi, China
*Contact email: 15010220140@xs.hnit.edu.cn

Abstract

In a city, the urban landscape is a very important part. If foreign tourists come, the urban landscape will be their first impression of the city. Therefore, the planning and design of the urban landscape is very important. There are certain defects in the traditional urban landscape, such as not beautiful enough, poor environmental quality and so on. In order to better guide the urban landscape planning and design, this article uses the multi-objective optimization algorithm, taking a certain district of a city as an example, based on the ArcGIS platform, simulates the landscape planning of the district, and evaluates the planning scheme combined with the sensitivity analysis method. The results show that the reasonable layout of landscape planning in this area can improve the quality of urban environment, improve the quality of life of residents, increase employment opportunities, increase fiscal revenue, and achieve the purpose of optimizing urban functions and rationally allocating urban resources. The experimental results show that the urban landscape designed by applying the multi-objective optimization algorithm has the highest praise rate of 89.6% in terms of quality of life.