Research on the Design of Urban Furniture Smart Service Station System for Historic Neighborhoods
This study aims to explore methods for optimizing the system design of urban furniture smart service stations in historic districts,with the goal of enhancing the quality of living environments and showcasing the cultural characteristics of these areas.Based on the theory of product system service,it investigates the spatial quality of urban furniture and the frequency of tourists'use of urban furniture in historic districts based on the PSPL method.It then analyzes the user behaviours by means of the SAPAD model and derive the general meaning clusters by mining the correlation matrix clustering meaning hierarchy analysis.Finally,it computes the weights of the general meaning clusters by means of the AHP method and sorts them to form the final core meaning clusters.According to the above core meaning clusters,a secondary mapping of behaviour-object and product is formed,and based on this,a smart service station system for urban furniture in historic districts is constructed.Through the design practice of core meaning cluster-user behaviour-object demand-product module remapping,we hope to provide design methods and practice cases for urban furniture in China's historic districts.
historic neighborhoodsurban furnituresmart service stationsuser behavior
NETL
NSTL
万方数据
