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Street Landscape Planning and Design Guided by Artificial Intelligence Interactive Experience

As an important part of the city, urban streets have always played an active role in carrying public needs and optimizing public living spaces. They are also important to open public spaces in the city. In addition, with technology integration and life, the interactive experience of artificial intel...

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Autores principales: Xie, Jun, Wang, Dandan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9427214/
https://www.ncbi.nlm.nih.gov/pubmed/36052045
http://dx.doi.org/10.1155/2022/3146637
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author Xie, Jun
Wang, Dandan
author_facet Xie, Jun
Wang, Dandan
author_sort Xie, Jun
collection PubMed
description As an important part of the city, urban streets have always played an active role in carrying public needs and optimizing public living spaces. They are also important to open public spaces in the city. In addition, with technology integration and life, the interactive experience of artificial intelligence (AI) in Street View is gradually increasing. A streetscape planning and design method based on AI interactive experience is proposed. CSiXRevit 2022 software builds street simulation models for better street planning and design. Street digital imaging technology is used to analyze the original streetscape. Landscape features are integrated with the street model. Based on intelligent technology, urban landscape design is studied, and AI interactive experience is analyzed. Analytic hierarchy process (AHP) and AI technology evaluate the effect of landscape design. Firstly, AHP is used to construct the evaluation index system of the rural landscape design effect, and the index weight is determined. Back propagation neural network (BPNN) is used to construct an evaluation model of landscape design effect. Three indexes of target, project, and indicator layer are used to evaluate the effect of rural landscape design. The results show that (1) the variety and richness of streetscapes in the survey area should be increased. Interactive buildings should be placed on the street. (2) The comprehensive evaluation score of the street landscape is 0.60, and the design effect is excellent. The comprehensive evaluation values of the three project layers are 0.65, 0.48, and 0.67, respectively. The data show that the carrying capacity index of the study area is the best, and the vitality index is the weakest. Therefore, when designing the street landscape, the economic development has been strengthened by attracting investment, introducing large-scale exhibition shops, increasing street income, strengthening the construction of street public facilities, and paying attention to the public street experience. This work can provide references for related streetscape designs.
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spelling pubmed-94272142022-08-31 Street Landscape Planning and Design Guided by Artificial Intelligence Interactive Experience Xie, Jun Wang, Dandan Comput Intell Neurosci Research Article As an important part of the city, urban streets have always played an active role in carrying public needs and optimizing public living spaces. They are also important to open public spaces in the city. In addition, with technology integration and life, the interactive experience of artificial intelligence (AI) in Street View is gradually increasing. A streetscape planning and design method based on AI interactive experience is proposed. CSiXRevit 2022 software builds street simulation models for better street planning and design. Street digital imaging technology is used to analyze the original streetscape. Landscape features are integrated with the street model. Based on intelligent technology, urban landscape design is studied, and AI interactive experience is analyzed. Analytic hierarchy process (AHP) and AI technology evaluate the effect of landscape design. Firstly, AHP is used to construct the evaluation index system of the rural landscape design effect, and the index weight is determined. Back propagation neural network (BPNN) is used to construct an evaluation model of landscape design effect. Three indexes of target, project, and indicator layer are used to evaluate the effect of rural landscape design. The results show that (1) the variety and richness of streetscapes in the survey area should be increased. Interactive buildings should be placed on the street. (2) The comprehensive evaluation score of the street landscape is 0.60, and the design effect is excellent. The comprehensive evaluation values of the three project layers are 0.65, 0.48, and 0.67, respectively. The data show that the carrying capacity index of the study area is the best, and the vitality index is the weakest. Therefore, when designing the street landscape, the economic development has been strengthened by attracting investment, introducing large-scale exhibition shops, increasing street income, strengthening the construction of street public facilities, and paying attention to the public street experience. This work can provide references for related streetscape designs. Hindawi 2022-08-23 /pmc/articles/PMC9427214/ /pubmed/36052045 http://dx.doi.org/10.1155/2022/3146637 Text en Copyright © 2022 Jun Xie and Dandan Wang. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Xie, Jun
Wang, Dandan
Street Landscape Planning and Design Guided by Artificial Intelligence Interactive Experience
title Street Landscape Planning and Design Guided by Artificial Intelligence Interactive Experience
title_full Street Landscape Planning and Design Guided by Artificial Intelligence Interactive Experience
title_fullStr Street Landscape Planning and Design Guided by Artificial Intelligence Interactive Experience
title_full_unstemmed Street Landscape Planning and Design Guided by Artificial Intelligence Interactive Experience
title_short Street Landscape Planning and Design Guided by Artificial Intelligence Interactive Experience
title_sort street landscape planning and design guided by artificial intelligence interactive experience
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9427214/
https://www.ncbi.nlm.nih.gov/pubmed/36052045
http://dx.doi.org/10.1155/2022/3146637
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