<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>With the rapid development of internationalization and urban construction, the urban linguistic landscape has become an area of great interest. The purpose of this paper is to explore the data analysis method of urban visual linguistic landscape based on line-of-sight orientation and to optimize the design of urban linguistic landscape based on an improved genetic algorithm. The basic visual analysis unit and the viewable area analysis unit of the linguistic landscape are proposed to quantify the visual characteristic indexes and the optimal view distance of the linguistic landscape. At the same time, the viewable spatial point set analysis unit is used to obtain the view accessibility of the language landscape. Finally, the linguistic landscape optimization model was evaluated and analyzed for application effects. The results show that through the optimized design of 10 linguistic spots in H City National Forest Park, the average score of each spot evaluation is 3.48, and the full score ratio is 63.18%. The urban language landscape optimization model proposed in this paper can effectively improve the aesthetics and visual sensitivity of the urban language landscape.</p>
</abstract>

With the rapid development of internationalization and urban construction, the urban linguistic landscape has become an area of great interest. The purpose of this paper is to explore the data analysis method of urban visual linguistic landscape based on line-of-sight orientation and to optimize the design of urban linguistic landscape based on an improved genetic algorithm. The basic visual analysis unit and the viewable area analysis unit of the linguistic landscape are proposed to quantify the visual characteristic indexes and the optimal view distance of the linguistic landscape. At the same time, the viewable spatial point set analysis unit is used to obtain the view accessibility of the language landscape. Finally, the linguistic landscape optimization model was evaluated and analyzed for application effects. The results show that through the optimized design of 10 linguistic spots in H City National Forest Park, the average score of each spot evaluation is 3.48, and the full score ratio is 63.18%. The urban language landscape optimization model proposed in this paper can effectively improve the aesthetics and visual sensitivity of the urban language landscape.

Data Analysis of Linguistic Landscape in the Context of “Internationalization +” Urban Construction

Applied Mathematics and Nonlinear Sciences

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

With the rapid development of internationalization and urban construction, the urban linguistic landscape has become an area of great interest. The purpose of...

Data Analysis of Linguistic Landscape in the Context of “Internationalization +” Urban Construction

Online veröffentlicht: 15. Okt. 2023

Seitenbereich: -

Eingereicht: 14. Dez. 2022

Akzeptiert: 25. Apr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00621

Schlüsselwörter
Into genetic algorithm, Viewable domain analysis, Optimal sight distance, Spatial viewable point

© 2023 Hui Kong, published by Sciendo

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

Data Analysis of Linguistic Landscape in the Context of “Internationalization +” Urban Construction

Online veröffentlicht: 15. Okt. 2023

Seitenbereich: -

Eingereicht: 14. Dez. 2022

Akzeptiert: 25. Apr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00621

SchlüsselwörterInto genetic algorithm, Viewable domain analysis, Optimal sight distance, Spatial viewable point

© 2023 Hui Kong, published by Sciendo

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

Schlüsselwörter
Into genetic algorithm, Viewable domain analysis, Optimal sight distance, Spatial viewable point