Article: Sensitivity analysis of urban planning using random forests and transformers: a case study of residential area renovation Journal: International Journal of Information and Communication Technology (IJICT) 2025 Vol.26 No.8 pp.35 - 48 Abstract: Currently, residential area renovation in urban planning is facing many problems. Traditional sensitivity analysis methods are often difficult to handle. Therefore, this article proposes a comprehensive method that combines random forest and transformer models. Firstly, the random forest algorithm is used to evaluate the feature importance of multidimensional influencing factors in residential area renovation and identify key influencing factors; subsequently, leveraging the advantages of the transformer model, the complex nonlinear relationships and spatiotemporal dependencies between key factors were processed, improving the accuracy and interpretability of sensitivity analysis. Through empirical analysis, the effectiveness and superiority of this method in sensitivity analysis of residential area renovation have been verified, providing more scientific and accurate decision support for urban planning. Research has shown that the combination of random forest and transformer can provide a new approach for sensitivity analysis in complex planning tasks. Inderscience Publishers - linking academia, business and industry through research

Title: Sensitivity analysis of urban planning using random forests and transformers: a case study of residential area renovation

Authors: Zhusong Deng; Ling Pi; Jie Li; Chengyuan Wang

Addresses: College of Civil Engineering and Architecture, Xinyu University, Xinyu 338004, China ' College of Civil Engineering and Architecture, Xinyu University, Xinyu 338004, China ' College of Civil Engineering and Architecture, Xinyu University, Xinyu 338004, China ' College of Civil Engineering and Architecture, Xinyu University, Xinyu 338004, China

Abstract: Currently, residential area renovation in urban planning is facing many problems. Traditional sensitivity analysis methods are often difficult to handle. Therefore, this article proposes a comprehensive method that combines random forest and transformer models. Firstly, the random forest algorithm is used to evaluate the feature importance of multidimensional influencing factors in residential area renovation and identify key influencing factors; subsequently, leveraging the advantages of the transformer model, the complex nonlinear relationships and spatiotemporal dependencies between key factors were processed, improving the accuracy and interpretability of sensitivity analysis. Through empirical analysis, the effectiveness and superiority of this method in sensitivity analysis of residential area renovation have been verified, providing more scientific and accurate decision support for urban planning. Research has shown that the combination of random forest and transformer can provide a new approach for sensitivity analysis in complex planning tasks.

Keywords: random forest; transformer; city planning; sensitivity analysis.

DOI: 10.1504/IJICT.2025.145725

International Journal of Information and Communication Technology, 2025 Vol.26 No.8, pp.35 - 48

Received: 10 Feb 2025
Accepted: 19 Feb 2025
Published online: 16 Apr 2025 *

Title: Sensitivity analysis of urban planning using random forests and transformers: a case study of residential area renovation

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