Evaluation of Community Commercial Space Design Experience and Optimization Strategy Based on KANO Model

Abstract

This paper takes a community commercial space as the research object, analyzes the demand preferences of community consumers and adopts the KANO model as the analysis framework to obtain the satisfaction and importance indexes of different demands of community residents. According to the content and characteristics of varying levels of the request, we propose ideas and suggestions for the optimization of community commercial spaces. The study found that consumers pay more attention to the need for service facilities category. The diversity of business types and the comfort of space are important factors affecting satisfaction with community commercial spaces. Finally, two optimization proposals are made for the space environment, such as optimizing the physical environment of retail spaces and improving support facilities. Two optimization proposals are made for space services, such as the product of “warm” community services and the product of diversified and intelligent business formats. Ultimately, this provides a reference for improving the quality of residents’ consumption experience and perfecting the optimal design of community commercial spaces.

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