浙江大学学报（理学版）2025，Vol.52Issue(2)：172-188,17.DOI:10.3785/j.issn.1008-9497.2025.02.002
基于MAUP效应的城市活力与建成环境的非线性关系
Nonlinear relationship between urban vitality and built environment based on MAUP effects:A case study of the Xi'an city
摘要
Abstract
Elucidating how the built environment influences urban vitality at the micro-scale is crucial for precisely guiding the implementation direction of refined urban planning in the context of urban renewal on existing land.However,most existing studies have often overlooked the differential mechanisms and nonlinear relationships of the built environment's impact on urban vitality at the micro-scale.This paper takes the central urban area of Xi'an City as the study area,employs multi-source data,and integrates machine learning algorithms with the Shapley Additive Explanations(SHAP)interpretability method at the street and block levels to explore the nonlinear effects of the built environment on urban vitality.The results indicate that:(1)The spatial distribution characteristics of urban vitality in the central urban area of Xi'an City are generally similar at the street and block levels,exhibiting a gradient pattern of decreasing vitality from the center to the periphery.There are slight differences in the distribution of vitality hotspots between the street and block levels,indicating spatial heterogeneity.(2)Among the built environment elements that affect the urban vitality of the central urban area of Xi'an City,global integration makes the highest relative contribution at the street level,whereas at the block level,the number of POI categories is the most influential.(3)The built environment exerts a nonlinear influence on urban vitality in the central urban area of Xi'an City.Among the common core elements affecting the vitality of streets and blocks,factors such as sky openness and subway accessibility exhibit fundamentally consistent threshold effects at both the street and block levels.Conversely,factors like the number of POI categories,floor area ratio,and green visual index show varying effects at these two levels.Built environment factors exert an interactive influence on urban vitality.At the street level,subway accessibility is the dominant element,while at the block level,it is the number of POI categories.Based on these findings,relevant planning suggestions are proposed to enhance the interaction and coordinated development between streets and blocks and to improve urban vitality.关键词
建成环境/城市活力/机器学习/阈值效应/西安市Key words
built environment/urban vitality/machine learning/threshold effect/Xi'an city分类
土木建筑引用本文复制引用
任嫄,段兆雯,霍豫,李开宇..基于MAUP效应的城市活力与建成环境的非线性关系[J].浙江大学学报（理学版）,2025,52(2):172-188,17.基金项目
陕西省社会科学基金项目(2020D045) （2020D045）
西安外国语大学研究生科研基金项目(2024SS047). （2024SS047）
