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基于多源数据的商业中心综合实力评价体系:以合肥中心城区为例

Comprehensive strength evaluation system of commercial centres based on multi-source data: a case of Hefei central city.

作者信息

Chen Jingyuan, Gan Zhiqiang, Li Dan, Zhang Yunbin, Wang Cheng, Tao Xiao, Zhu Meng

机构信息

School of Forestry and Landscape Architecture, Anhui Agricultural University, Hefei, 230000, China.

出版信息

Sci Rep. 2023 Oct 10;13(1):17082. doi: 10.1038/s41598-023-44139-x.

DOI:10.1038/s41598-023-44139-x
PMID:37816792
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10564918/
Abstract

Urban commercial centres are the most concentrated areas of economic activity. Understanding the spatial distribution pattern and comprehensive strength of urban commercial centres is important to guide the reasonable graded allocation of urban commercial space, spatial structure optimization and sustainable development of the commercial economy. Herein, mobile phone signalling data are used to identify the functional connection between recreational and residential places and local spatial autocorrelation analysis is used to identify the 24 commercial centres in the central city of Hefei. The comprehensive strength evaluation system of commercial centres is constructed from their basic conditions and customer consumption behaviours, and their comprehensive strength indices are accordingly measured and graded. The spatial distribution characteristics of commercial centres at all levels are analysed, and optimisation suggestions are made for the whole area and region. The following conclusions are drawn from the results of this study. (1) Compared to traditional single-perspective evaluations, the developed comprehensive strength evaluation system considers supply and demand perspectives for commercial centres, providing a more holistic and accurate portrayal of the strengths of various centres within a region. (2) The current commercial centres are characterised by 'large dispersion and small concentration' in spatial and hierarchical distribution. (3) The commercial centres in Hefei have formed a relatively complete 'first, second, and third level' commercial centre system, with the first level as the core and relying on the urban road system to form a network spatial connection. (4) Most of the commercial centres are concentrated in the First Ring Road, Swan Lake in the Government Affairs District and Binhu Century Town Estate, while most areas north of the Second Ring Road and Binhu New District still lack large-scale commercial centres. This study provides a technical reference for analysing urban commercial spatial structure patterns and provides decision support for optimising the spatial layout of urban commercial service functions.

摘要

城市商业中心是经济活动最为集中的区域。了解城市商业中心的空间分布格局和综合实力,对于引导城市商业空间的合理分级配置、空间结构优化以及商业经济的可持续发展具有重要意义。在此,利用手机信令数据识别休闲场所与居住场所之间的功能联系,并运用局部空间自相关分析识别合肥市中心城区的24个商业中心。从商业中心的基本条件和顾客消费行为构建商业中心综合实力评价体系,并据此测度和划分其综合实力指数。分析各级商业中心的空间分布特征,针对全域和各区域提出优化建议。通过本研究结果得出以下结论。(1)与传统的单视角评价相比,所构建的综合实力评价体系兼顾了商业中心的供给和需求视角,对区域内各商业中心的实力提供了更全面、准确的刻画。(2)当前商业中心在空间和层级分布上呈现“大分散、小集中”的特征。(3)合肥市商业中心已形成较为完整的“一、二、三级”商业中心体系,以一级为核心,并依托城市道路系统形成网络空间联系。(4)多数商业中心集中在一环路、政务区天鹅湖以及滨湖世纪城,而二环路以北大部分区域和滨湖新区仍缺乏大型商业中心。本研究为分析城市商业空间结构格局提供了技术参考,为优化城市商业服务功能的空间布局提供了决策支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e19e/10564918/3b2f26aa2138/41598_2023_44139_Fig8_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e19e/10564918/3b2f26aa2138/41598_2023_44139_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e19e/10564918/7ae73dcbf974/41598_2023_44139_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e19e/10564918/85fdb5608744/41598_2023_44139_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e19e/10564918/8645e5f1c1b5/41598_2023_44139_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e19e/10564918/94bca52aaa03/41598_2023_44139_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e19e/10564918/e03dd6bb8fc1/41598_2023_44139_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e19e/10564918/4b8b3cf79a5d/41598_2023_44139_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e19e/10564918/3b2f26aa2138/41598_2023_44139_Fig8_HTML.jpg

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本文引用的文献

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Detecting urban commercial patterns using a latent semantic information model: A case study of spatial-temporal evolution in Guangzhou, China.利用潜在语义信息模型探测城市商业格局:以中国广州的时空演变为例。
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