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<p>This study accurately assessed the overall ecological landscape condition of the city through the environmental landscape pattern index, and specifically explored the NP, LSI, and PD indices of construction land, cultivated land, forest land, grassland, water, and other land. Adopting advanced artificial intelligence and virtual reality technologies, this paper successfully constructs a 3D visualization scene of the urban landscape, which provides a vivid and intuitive perspective for urban planning. Further, based on the planning and design framework of urban landscape ecosystem, this paper clarifies the ecological evaluation elements and landscape design indexes, and uses VR technology to optimize the design of environmental aspects of urban streets. By establishing an optimization strategy database, this paper conducts an in-depth correlation analysis between the optimization scheme’s design indicators and evaluation factors. Comparing the comprehensive ecosystem service area before and after optimization, the results show that applying VR technology in ecological landscape design is highly effective. The integrated ecosystem service area before and after optimization increased from 7611.72m² to 8039.51m², of which the integrated ecosystem service area of “general” grade increased by 324.03m², showing the best effect of ecological optimization. The research in this paper provides scientific basis and technical support for ecological landscape design and new ideas and methods for future urban environmental planning and construction.</p>
</abstract>

This study accurately assessed the overall ecological landscape condition of the city through the environmental landscape pattern index, and specifically explored the NP, LSI, and PD indices of construction land, cultivated land, forest land, grassland, water, and other land. Adopting advanced artificial intelligence and virtual reality technologies, this paper successfully constructs a 3D visualization scene of the urban landscape, which provides a vivid and intuitive perspective for urban planning. Further, based on the planning and design framework of urban landscape ecosystem, this paper clarifies the ecological evaluation elements and landscape design indexes, and uses VR technology to optimize the design of environmental aspects of urban streets. By establishing an optimization strategy database, this paper conducts an in-depth correlation analysis between the optimization scheme’s design indicators and evaluation factors. Comparing the comprehensive ecosystem service area before and after optimization, the results show that applying VR technology in ecological landscape design is highly effective. The integrated ecosystem service area before and after optimization increased from 7611.72m² to 8039.51m², of which the integrated ecosystem service area of “general” grade increased by 324.03m², showing the best effect of ecological optimization. The research in this paper provides scientific basis and technical support for ecological landscape design and new ideas and methods for future urban environmental planning and construction.

Trends and Prospects of Ecodesign in Urban Landscape Design in the Context of Artificial Intelligence

College of Art and Design, Zhengzhou University of Economics and Business

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This study accurately assessed the overall ecological landscape condition of the city through the environmental landscape pattern index, and specifically...

Trends and Prospects of Ecodesign in Urban Landscape Design in the Context of Artificial Intelligence

Pubblicato online: 26 feb 2024

Pagine: -

Ricevuto: 08 gen 2024

Accettato: 16 gen 2024

DOI: https://doi.org/10.2478/amns-2024-0414

Parole chiave
Virtual reality technology, Landscape pattern index, Three-dimensional visualization, Urban landscape design

© 2024 Sisui Cai, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Trends and Prospects of Ecodesign in Urban Landscape Design in the Context of Artificial Intelligence

Pubblicato online: 26 feb 2024

Pagine: -

Ricevuto: 08 gen 2024

Accettato: 16 gen 2024

DOI: https://doi.org/10.2478/amns-2024-0414

Parole chiaveVirtual reality technology, Landscape pattern index, Three-dimensional visualization, Urban landscape design

© 2024 Sisui Cai, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
Virtual reality technology, Landscape pattern index, Three-dimensional visualization, Urban landscape design