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<p>Through the corresponding investigation and analysis, this paper derives the evaluation indexes of the coupling degree of coordination between the protection of historical neighborhoods and tourism development, establishes the weight of each index through the entropy method, conducts the mathematical and statistical analysis of the data, and applies them to the coupling relationship between the protection of historical neighborhoods and the development of modern functions, and constructs the coupling degree of coordination evaluation model to evaluate the relationship between the two. The results show that the commercial/residential interface ratios of Sanfangqixiang, Langzhong, and Zhouzhuang in the sample historic districts are 0.67, 0.88, and 049. In the type structure of the sample districts’ businesses, retail businesses account for 50% or less, catering businesses account for 36%-57%, and specialty businesses account for less at present. Langzhong and Nanluoguxiang have the best coupled and coordinated development of historic district protection and tourism development, with coupled coordination degrees of 1.968 and 1.956, respectively. Therefore, this paper uses the coupled coordination evaluation model to explore the coordinated development of historic district protection and modern functions and to continuously adjust and optimize the integration strategy for sustainable development.</p>
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Through the corresponding investigation and analysis, this paper derives the evaluation indexes of the coupling degree of coordination between the protection of historical neighborhoods and tourism development, establishes the weight of each index through the entropy method, conducts the mathematical and statistical analysis of the data, and applies them to the coupling relationship between the protection of historical neighborhoods and the development of modern functions, and constructs the coupling degree of coordination evaluation model to evaluate the relationship between the two. The results show that the commercial/residential interface ratios of Sanfangqixiang, Langzhong, and Zhouzhuang in the sample historic districts are 0.67, 0.88, and 049. In the type structure of the sample districts’ businesses, retail businesses account for 50% or less, catering businesses account for 36%-57%, and specialty businesses account for less at present. Langzhong and Nanluoguxiang have the best coupled and coordinated development of historic district protection and tourism development, with coupled coordination degrees of 1.968 and 1.956, respectively. Therefore, this paper uses the coupled coordination evaluation model to explore the coordinated development of historic district protection and modern functions and to continuously adjust and optimize the integration strategy for sustainable development.

Strategies for Integrating Historic District Preservation and Modern Functions in Urban Renewal

Applied Mathematics and Nonlinear Sciences

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

Through the corresponding investigation and analysis, this paper derives the evaluation indexes of the coupling degree of coordination between the protection...

Strategies for Integrating Historic District Preservation and Modern Functions in Urban Renewal

Online veröffentlicht: 05. Juli 2024

Seitenbereich: -

Eingereicht: 06. März 2024

Akzeptiert: 20. Mai 2024

DOI: https://doi.org/10.2478/amns-2024-1631

Schlüsselwörter
Entropy value method, Coupling coordination degree, Evaluation model, Integration strategy

© 2024 Hongxu Bian et al., published by Sciendo

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

Strategies for Integrating Historic District Preservation and Modern Functions in Urban Renewal

Online veröffentlicht: 05. Juli 2024

Seitenbereich: -

Eingereicht: 06. März 2024

Akzeptiert: 20. Mai 2024

DOI: https://doi.org/10.2478/amns-2024-1631

SchlüsselwörterEntropy value method, Coupling coordination degree, Evaluation model, Integration strategy

© 2024 Hongxu Bian et al., published by Sciendo

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

Schlüsselwörter
Entropy value method, Coupling coordination degree, Evaluation model, Integration strategy