Ageing Design of Urban Park Landscape Based on Computer Virtual Simulation Technology

Area of Science:

• Environmental Science
• Urban Planning
• Computer Science

Background:

• Urban parks are crucial for public health and well-being in increasingly crowded cities.
• Assessing landscape quality requires comprehensive data on influential factors and user perception.
• Digital tools and simulations are essential for modern landscape design and evaluation.

Purpose of the Study:

• To develop a predictive model for urban park landscape aesthetics using artificial neural networks (ANN).
• To identify key factors influencing landscape aesthetic assessment in urban parks.
• To create a decision support system for urban park design and planning.

Main Methods:

• Utilized a Learning Vector Quantization Artificial Neural Network (LVQANN) model.
• Integrated user viewpoints with ANN modeling for aesthetic quality assessment.
• Employed MATLAB software (2018b) with its ANN toolbox for simulation and model development.
• Developed a digital landscape model using computer-aided design (CAD) and virtual simulation.

Main Results:

• The LVQANN model achieved high performance metrics: 89.23% accuracy, 87.34% sensitivity, and 78.93% recall.
• The model effectively prioritizes significant factors influencing landscape aesthetic assessment.
• The developed system demonstrates superior performance compared to existing models.

Conclusions:

• ANN modeling, combined with user perspectives, provides a robust method for evaluating urban park aesthetics.
• The developed decision support system aids in creating visually significant and ideal urban park landscapes.
• This approach enhances the planning and design of urban green spaces for improved public welfare.