基于POI数据的长沙市生活性服务业空间格局研究
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摘要
生活性服务业是服务经济的重要组成部分,其合理布局对发展城市经济、满足居民消费需求具有重要作用。基于长沙市六区POI数据,运用核密度分析、熵指数、频数密度分析及空间聚类等方法研究长沙市生活性服务业的空间格局特征,发现长沙市生活性服务业的分布具有以下特点:1)主要受交通及城市规划指向性影响,沿交通主干道集聚分布,整体布局呈"一核四轴多极"且空间分布与人口集中度联系紧密,东西差异明显,东部多而密集、西部少而分散;2)不同类型的生活性服务业分布特征各异,在空间形态上主要表现为"单核心"、"双核心"和"多核心"等;3)其功能多样性布局呈现以五一广场为核心的"中心-外围"结构特征,功能多样且混合程度高的区域位于城市中心,城市边缘区生活性服务业集聚性较弱且多为单一功能或者双功能混合区。
Consumer service industry is an important part of service economy,and its rational distribution plays an important role in developing urban economy and meeting the consumption demand of residents.As an important point data representing urban spatial facilities, poi is a new data source to study the characteristics of urban spatial pattern. Based on poi data, the spatial pattern of consumer service industry in Changsha was studied by using the methods of kernel density analysis, entropy index, frequency density analysis and spatial clustering. It is found that the consumer service industry of Changsha is mainly influenced by traffic and urban planning. The whole distribution is "one core, four axes, multi-polarity", and the spatial distribution is closely related to population concentration, and the difference between east and west is obvious;The distribution characteristics of different types of consumer service industry are different, which are mainly "single core", "double core" and "multi-core" in spatial form. The distribution of functional diversity is characterized by the central periphery structure at the core of the Wuyi Square. The areas with diverse functions and high degree of mixing are located in the central city, and the consumer service industry in the peripheral area is weak and most of them are single-function or dualfunction mixed areas.
Consumer service industry is an important part of service economy,and its rational distribution plays an important role in developing urban economy and meeting the consumption demand of residents.As an important point data representing urban spatial facilities, poi is a new data source to study the characteristics of urban spatial pattern. Based on poi data, the spatial pattern of consumer service industry in Changsha was studied by using the methods of kernel density analysis, entropy index, frequency density analysis and spatial clustering. It is found that the consumer service industry of Changsha is mainly influenced by traffic and urban planning. The whole distribution is "one core, four axes, multi-polarity", and the spatial distribution is closely related to population concentration, and the difference between east and west is obvious;The distribution characteristics of different types of consumer service industry are different, which are mainly "single core", "double core" and "multi-core" in spatial form. The distribution of functional diversity is characterized by the central periphery structure at the core of the Wuyi Square. The areas with diverse functions and high degree of mixing are located in the central city, and the consumer service industry in the peripheral area is weak and most of them are single-function or dualfunction mixed areas.
引文
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[17]禹文豪,艾廷华.核密度估计法支持下的网络空间POI点可视化与分析.测绘学报,2015,44(01):82-90.
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[2]Frank R.The ABC's of site selection:How to pick winners and avoid losers.Bloomington:Xlibris,2010.
[3]Talukdar D,Gauri D K,Grewal D.An empirical analysis of the extreme cherry picking behavior of consumers in the frequently purchased goods market.Journal of Retailing,2010,86(4):337-355.
[4]Singleton A D,Dolega L,Riddlesden D,et al.Measuring the spatial vulnerability of retail centres to online consumption through a framework of e-resilience.Geoforum,2016,69(2):5-18.
[5]宁越敏.上海市区商业中心区位的探讨.地理学报,1984,39(2):163-172.
[6]吴郁文,谢彬,骆慈广,等.广州市城区零售商业企业区位布局的探讨.地理科学,1988,8(3):208-217.
[7]刘致良.中国餐饮业地理集聚及其变化趋势.统计与决策,2007(10):92-94.
[8]赵媛,黄秋昊.基于GIS技术的城市酒店空间分布研究.数量经济技术经济研究,2003(08):155-158.
[9]浩飞龙,王士君,冯章献,等.基于POI数据的长春市商业空间格局及行业分布.地理研究,2018,37(02):366-378.
[10]徐薛艳,龙涛,孙雪飞.上海中心城区海外游客兴趣点(POI)时空分布特征研究.世界地理研究,2018,27(5):147-156.
[11]许昕,赵媛.南京市养老服务设施空间分布格局及可达性评价——基于时间成本的两步移动搜索法.现代城市研究,2017(02):2-11.
[12]徐冬,黄震方,吕龙,等.基于POI挖掘的城市休闲旅游空间特征研究——以南京为例.地理与地理信息科学,2018,34(01):59-64+70+3.
[13]王珏晗,周春山.广州市商业型健身房空间分布及其影响因素.热带地理,2018,38(01):120-130.
[14]洪涛,等.中国生活服务业发展报告(2011).北京:经济管理出版社,2011.
[15]杨振山,龙瀛,Douay Nicolas,等.大数据对人文-经济地理学研究的促进与局限.地理科学进展,2015,34(04):410-417.
[16]李江苏,梁燕,王晓蕊.基于POI数据的郑东新区服务业空间聚类研究.地理研究,2018,37(01):145-157.
[17]禹文豪,艾廷华.核密度估计法支持下的网络空间POI点可视化与分析.测绘学报,2015,44(01):82-90.
[18]吴康敏,张虹鸥,王洋,等.广州市多类型商业中心识别与空间模式.地理科学进展,2016,35(08):963-974.
[19]张延吉,秦波,唐杰.城市建成环境对居住安全感的影响——基于全国278个城市社区的实证分析.地理科学,2017,37(09):1318-1325.
[20]池娇,焦利民,董婷,等.基于POI数据的城市功能区定量识别及其可视化.测绘地理信息,2016,41(02):68-73.