Nonlinear and Synergistic Effects of the Built environment on Street Vitality:The Case of Shenyang
Creating dynamic streets requires the optimization of built environments.Grounded in the understanding of the intricate concept of street vitality,this study explores the non-linear relationship between the built environment and street vitality in Shenyang,a city in the northeastern China.Employing machine learning and inter-pretability methods,it also investigates the interactive effects among various ele-ments of the built environment and provides insights into different types of street vi-tality.The findings indicate the following points:Street accessibility emerges as the predominant built environment factor influencing street vitality;Non-linear effects can be categorized into positive,negative,and irregular influences;Interactive effects exist among elements of different dimensions of street environment with street prox-imity and building density playing a predominant role;Street types are ranked by vi-tality values from high to low as follows:the high vitality-density driven type,the high vitality-convenient transportation type,the low vitality-poor design type,and the low vitality-overall inadequacy type.These street types differ significantly in the mechanism contributing to vitality.Based on these research findings,planning recom-mendations are proposed to inspire street renewal designs toward enhancing vitality.
street vitalitynonlinear relationshipmachine learningbuilt environmentmulti-source big dataNortheast old industrial city
国家科技期刊平台
NSTL
万方数据
维普
