Title: Landscape perception analysis and design optimisation of urban parks supported by multimodal data
Authors: Yifei Zhang
Addresses: Department of Media and Design, GuiZhou Vocational Technology, College of Electronics and Information, Kaili 556000, China
Abstract: City parks are increasingly crucial in improving inhabitants' quality of life as well as other factors given the fast worldwide urbanisation. But as urban population density rises, the classic landscape design of urban parks has proved challenging to satisfy the ever varied needs of people. This work presents a multimodal data fusion-based landscape perception analysis and design optimisation method for urban parks, so building a comprehensive landscape perception model that can effectively capture the multidimensional traits of park environments and their effect on visitor experience, so solving these problems. Both tests reveal that multimodal data fusion greatly increases the comprehensiveness and accuracy of landscape perception. Although this study has achieved great progress, there are still certain constraints including the restricted capacity to react to dynamic data in real time; so, future studies will concentrate on addressing these issues and optimising the research approach.
Keywords: multimodal data fusion; urban park; landscape perception; intelligent optimisation.
DOI: 10.1504/IJICT.2025.147467
International Journal of Information and Communication Technology, 2025 Vol.26 No.26, pp.33 - 50
Received: 14 May 2025
Accepted: 25 May 2025
Published online: 16 Jul 2025 *