摘要
上海是中国咖啡门店最为密集的城市之一,咖啡店空间的时空演变在一定程度上反映了城市功能结构调整与消费行为变迁。本文系统分析了2014—2024年上海市咖啡店的空间格局演变及其影响因素。结果显示,(1)咖啡店整体布局由“单核多点”向“主核引领、多元分散”转变,呈现由中心城区向近郊区域的圈层式扩张趋势。(2)不同业态类型在布局逻辑上存在显著差异:大型咖啡店倾向于集聚于交通便捷、商务密集与高学历人口集聚区,体现出效率导向和功能性依附特征;而中小型咖啡店更偏好文化氛围浓厚、景观资源丰富的街区,展现出较强的场景适应性与生活嵌入性。(3)通过多元线性回归与空间滞后模型对比发现,商务办公楼和冷饮店是两类咖啡门店共同的重要影响因素,研究生人口比例和地铁站数量主要影响大型门店,风景名胜数量对中小型门店影响显著。研究揭示了咖啡门店在城市内部多元功能区中的空间依附差异,对完善城市消费设施布局、推动生活圈更新与文化空间建设具有参考价值。
Shanghai ranks among China’s densest coffee-shop cities,and its spatiotemporal evolution reflects urban function restructuring and shifts in consumer behavior.From an evolutionary geography perspective,this study examines spatial pattern changes and influencing factors of coffee shops in Shanghai from 2014 to 2024.Results reveal a shift from a“monocentric with scattered nodes”layout to a“core-led,multi-centered”structure,with concentric expansion from core to suburbs.Large-scale coffee shops cluster in areas with high accessibility,intense commercial activity,and educated populations—an efficiencyoriented,functionally dependent pattern.Small-and medium-sized shops favor neighborhoods rich in cultural atmosphere and scenic resources,showing scene adaptability and residential embeddedness.OLS and spatial lag models identify office building density and dessert shop concentration as significant for both types;postgraduate population share and metro station density mainly affect large-scale shops;scenic spot density influences smaller shops,which also exhibit spatial diffusion effects.These findings underscore differentiated spatial dependencies across urban functional zones and offer implications for optimizing consumption facilities,renewing living circles,and enhancing cultural spatial planning.
作者
张起扬
谭文洁
李仙德
Zhang Qiyang;Tan Wenjie;Li Xiande
出处
《全球城市研究(中英文)》
2025年第2期30-48,150,151,共21页
Global Cities Research
关键词
咖啡店
上海
空间格局
影响因素
空间滞后模型
Coffee Shops
Shanghai
Spatial Pattern
Influencing Factors
Spatial Lag Model
