城市建筑2025，Vol.22Issue(5)：121-126,6.DOI:10.19892/j.cnki.csjz.2025.05.27
基于POI数据和Doc2Vec模型的城市功能区识别和分析
Identification and Analysis of Urban Functional Areas Based on POI Data and Doc2Vec Model
摘要
Abstract
The research on the identification of urban functional areas can help optimize the urban spatial functional layout,and improve urban planning management efficiency and scientific decision-making.Big data and artificial intelligence technology provide new research perspectives and methods for the identification of urban functional areas.Based on POI data,taking Chengdu as the research area,the paper uses road network data to divide block research units,and utilizes the document vector model(Doc2Vec)to extract block feature vectors,and then uses k-means++algorithm to cluster block units.Then it uses frequency density index and enrichment factor index to analyze the functional types of different areas,and compares the results with the AutoNavi for verification.The results show that this method can accurately identify the types of urban functional areas and can provide a reference for the urban development planning of Chengdu.关键词
兴趣点/城市功能区/机器学习/成都Key words
points of interest/urban functional areas/machine learning/Chengdu分类
建筑与水利引用本文复制引用
胡灵杰..基于POI数据和Doc2Vec模型的城市功能区识别和分析[J].城市建筑,2025,22(5):121-126,6.基金项目
国家重点研发计划课题(2021YFB3900903) （2021YFB3900903）
