A Method for Selecting and Optimizing Pocket Park Design Proposals Based on Multi-Attribute Decision Making

To address the issues of subjectivity in the selection of design schemes for pocket parks in public building environments, as well as the lack of scientific and objective decision making, a comprehensive TOPSIS method-based optimization decision model for pocket park design schemes was developed. Firstly, an evaluation index system for the pocket park design schemes was established through a literature review and expert interviews. Secondly, the Analytic Hierarchy Process (AHP) and Entropy Weight Method (EWM) were employed to determine the weight coefficients of various evaluation criteria, combining qualitative and quantitative approaches. Finally, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) algorithm was applied, constructing a weighted decision matrix for the design schemes based on each criterion. By calculating the distance between each evaluation scheme and the ideal solution, the final ranking was determined, thus completing the comprehensive evaluation and optimization of the design schemes. This model was used to assist designers in the decision-making process for scheme optimization, achieving a priority ranking of five pocket park design schemes in a district of Xi’an, and validating the objectivity, feasibility, and scientific nature of this method.