IDENTIFYING CENTERS AND SUBCENTERS IN THE METROPOLITAN REGION OF BELO HORIZONTE THROUGH GOOGLE PLACES OF INTEREST

Abstract This research provides novel exploration of the distribution of urban facilities in the Metropolitan Region of Belo Horizonte, to identify primary and secondary centralities. The main findings are based on a Kernel Density, using Google Places of Interest data. Primary and secondary metropolitan centers are detected in the largest municipalities in the Metropolitan Area, as well as smaller suburban subcenters in peripheral municipalities. Moreover, the analysis of five categories of facilities illustrates different centralities structures and inequalities in the distribution of different types of activities.

摘要：本研究针对贝洛奥里藏特都会区（Metropolitan Region of Belo Horizonte）的城市设施分布开展创新性探索，旨在识别区域内的主次城市中心。本研究的核心结论基于核密度（Kernel Density）分析方法，所用数据为谷歌兴趣点（Google Places of Interest）数据集。研究在都会区内的大型自治市中探测到主次都市中心，同时在外围自治市中发现了规模较小的郊区次级中心。此外，针对五类城市设施的分析揭示了不同类型活动的中心性结构差异及其空间分布不均衡性。