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基于大数据的长三角城市群核心要素边界可视化及评价

Big Data-based Evaluation and Visualization Boundaries of the Yangtze River Delta Urban Agglomeration Core Elements

【作者】 金波;

【导师】 李文驹;

【作者基本信息】 浙江大学 , 建筑学, 2021, 硕士

【摘要】 城市群发展受到多要素影响,传统意义下的要素边界属虚拟边界,较难界定大数据背景下,要素的界定和可视化成为可能,并为复杂的城市群研究提供了技术支撑。本文重点将大数据核心技术应用于城市群研究,以长三角城市群为例,采用多源数据、多视角展开的形式,对长三角城市群人口、产业、生态、公共资源等要素进行综合评价,以此界定城市群多核心要素下的边界并针对性提出发展建议。利用大数据技术采集各类信息,数据来源主要包含全国统计年鉴数据、百度POI数据、企查查以及客套网企业信息、空气质量历史数据、百度迁徙数据等,分别反应了长三角地区综合实力、基础设施建设水平、产业优势和企业聚类、绿色发展水平、人口宏观流动的现状。通过多源数据标准化结果,结合熵权法、主成分分析、间断点分析等分析方法,以BI、GI等软件将多核心要素边界可视化呈现。整合多要素标准化和边界可视化结果,可见长三角城市群发展已经在处在较为成熟的网络形态阶段。虽然城市群内部存在明显的地域间差异,包括人口、经济、社会基础设施等优势资源会向几大都市圈聚集,但随着一体化进程的不断推进,各城市、地区均处于提升的态势,部分落后的边界城市在政策推动下得到基础设施建设等发展红利。综合评价长三角城市群内部177个区县的发展状态,针对其状态提出未来发展建议通过大数据视角下的长三角城市群研究今后的相关研究提供一个可行的范式。

【Abstract】 The development of urban agglomerations is affected by multiple factors.The element boundary in the traditional sense is a virtual boundary.Under the background of big data,it is difficult to define and visualize the elements.It also provides technical support for the research of complex urban agglomerations.This article focuses on applying the core technology of big data to the study of urban agglomerations.Taking the Yangtze River Delta urban agglomeration as an example,it uses multi-source data and multi-perspective development to comprehensively evaluate the population,industry,ecology,and public resources of the Yangtze River Delta urban agglomeration.,In order to define the boundary under the multi-core elements of the urban agglomeration and make targeted development suggestions.Big data technology is used to collect all kinds of information.The data sources mainly include national statistical yearbook data,Baidu POI data,enterprise search and Kedao network enterprise information,air quality historical data,Baidu migration data,etc.,which respectively reflect the comprehensive strength of the Yangtze River Delta region,The level of infrastructure construction,industrial advantages and enterprise clustering,the level of green development,and the status quo of population macro-flow.Through multi-source data standardization results,combined with analysis methods such as entropy weight method,principal component analysis,and discontinuous point analysis,the boundaries of multi-core elements are visualized with BI,GI and other software.Integrating the results of multi-element standardization and boundary visualization,it can be seen that the development of the Yangtze River Delta urban agglomeration is already at a relatively mature stage of network formation.Although there are obvious regional differences within the urban agglomeration,advantageous resources including population,economy,and social infrastructure will gather in several metropolitan areas,but with the continuous advancement of the integration process,all cities and regions are in an upward trend.Some backward border cities have received development dividends such as infrastructure construction under the promotion of policies.Comprehensively evaluate the development status of 177 districts and counties within the Yangtze River Delta City Group,and propose future development suggestions based on their statusThrough the research of the Yangtze River Delta urban agglomeration from the perspective of big data,future related research provides a feasible paradigm.

  • 【网络出版投稿人】 浙江大学
  • 【网络出版年期】2022年 01期
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