Luojia-01夜光数据和“点轴发育”理论支持下的夜间经济集聚区定量识别与分类方法

doi:10.12082/dqxxkx.2022.220097

地球信息科学学报 ›› 2022, Vol. 24 ›› Issue (11): 2141-2152.doi: 10.12082/dqxxkx.2022.220097

• 地球信息科学理论与方法 • 上一篇下一篇

Luojia-01夜光数据和“点轴发育”理论支持下的夜间经济集聚区定量识别与分类方法

王琳¹^,²^,³^,⁴(), 钟泓文¹, 许章华¹^,³^,⁴(), 王武林¹

1.福州大学环境与安全工程学院，福州 350116
2.福州大学遥感信息工程研究所，福州 350116
3.福建省水土流失遥感监测评估与灾害防治重点实验室，福州 350116
4.福州大学地理与生态环境研究院，福州 350116

收稿日期:2022-03-06 修回日期:2022-04-09 出版日期:2022-11-25 发布日期:2023-01-25
通讯作者: *许章华（1985— ），男，福建福州人，博士，教授，主要从事资源环境遥感、国土空间规划与GIS应用研究。E-mail: fafuxzh@163.com
作者简介:王琳（1981— ），男，福建福州人，博士，副教授，主要从事区域和城市发展，环境与资源遥感研究。E-mail: wanglin@fzu.edu.cn
基金资助:
国家自然科学基金重点支持项目(U2005205);国家自然科学基金面上项目(42071300);福建省自然科学基金面上项目(2020J01504);中国博士后面上基金项目(2018M630728);晋江市福大科教园区发展中心科研项目(2019-JJFDKY-17);3S技术与资源优化利用福建省高校重点实验室开放课题(fafugeo201901)

Quantitative Identification and Classification of the Nighttime Economic Agglomeration based on the Luojia-01 NTL Data and Pole-Axis Theory

WANG Lin¹^,²^,³^,⁴(), ZHONG Hongwen¹, XU Zhanghua¹^,³^,⁴(), WANG Wulin¹

1. College of Environment and Safety Engineering, Fuzhou University, Fuzhou 350116, China
2. Institute of Remote Sensing Information Engineering, Fuzhou University, Fuzhou 350116, China
3. Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Protection, Fuzhou University, Fuzhou 350116, China
4. Academy of Geography and Ecological Environment, Fuzhou University, Fuzhou 350116, China

Received:2022-03-06 Revised:2022-04-09 Online:2022-11-25 Published:2023-01-25
Contact: XU Zhanghua
Supported by:
National Natural Science Foundation of China(U2005205);National Natural Science Foundation of China(42071300);Fujian Province Natural Science Foundation Project(2020J01504);China Postdoctoral Science Foundation(2018M630728);Research Project of Jinjiang Fuzhou University Science and Education Park Development Center(2019-JJFDKY-17);Open Fund of University Key Lab for Geomatics Technology & optimize Resource Utilization in Fujian Province(fafugeo201901)

摘要/Abstract

摘要：

“夜间经济”蕴含巨大的消费潜能和市场空间，夜间经济集聚区作为其载体，其准确识别、合理分类和科学布局是发展夜间经济的切入点和主要抓手，更是夜间经济可持续发展的保障。本文在“点轴发育、定量识别”的认知框架下，在定量表达夜间经济活力测度的基础上，利用焦点统计和ISO聚类分析方法提取和识别夜间经济集聚中心和集聚区，并根据区位熵及其变异系数对识别结果进行类型划分，克服了目前夜间经济实践中存在的集聚区范围划定主观随意、类型标准不一的问题，为夜间经济定量化研究开辟了新的思路。研究表明：① 相较于DMPS/OLS及NPP-VIIRS等夜光遥感数据，Luojia1-01数据的空间分辨率高，溢出效应低，更适合于“夜间经济区”这种小尺度的精细化研究。② 夜间灯光和兴趣点数据是夜间社会活力和功能活力的良好表征，其综合影响可通过夜间经济活力测度来定量表达；③ 上海推出的12个地标性夜生活集聚区中，有11个被识别，识别率达91.7%；④ 根据集聚区的功能结构差异，可将其划分为非平衡发展-起步型、平衡发展-起步型、非平衡发展-成熟型、平衡发展-成熟型4种类型，该分类方式具有普适性；⑤ 在起步阶段，上海中心城区夜间经济集聚区主导功能为购物、餐饮；在成熟阶段，其特色发展方向为住宿、科教文化和体育休闲功能。四大集聚区类型在空间分布上形成明显的圈层结构。

关键词: 夜间经济集聚区, “点-轴系统”理论, Luojia-01夜间灯光数据, 兴趣点（Point of Interest, POI）, 迭代自组织（Iterative self-organization，ISO）聚类分析

Abstract:

Nighttime economy contains huge consumption potential and market space. As the carrier of nighttime economy, accurate identification, reasonable classification, and scientific layout of nighttime economic agglomeration is important for the sustainable development of nighttime economy. Under the cognitive framework named "point-axis development and quantitative identification", and based on quantification of nighttime economic vitality, focal statistics and ISODATA are used to extract and identify nighttime economic agglomeration centers and agglomeration in this study. According to the location quotient and its coefficient, the nighttime economic agglomeration is classified. This process overcomes the problems of chaotic zoning and classification standards for nighttime economic agglomeration and introduces a new idea for the quantitative research of nighttime economy. The results show that: (1) Compared with DMPS/ OLS and NPP- VIIRS, Luojia1-01 data have high spatial resolution and low spillover effect, which is more suitable for small-scale study of "nighttime economic agglomeration"; (2) Nighttime light and POI data are good representations of nighttime social vitality and functional vitality, and their combined effects can be quantitatively expressed through the night economic vitality; (3) Of the 12 landmark nightlife agglomerations launched in Shanghai, 11 are identified with a recognition rate of 91.7%; (4) According to the functional structure, nighttime agglomerations can be divided into four types: unbalanced developing - start-up type, balanced developing - start-up type, unbalanced developing - maturation type, and balance developing - maturation type. The classification method is universal; (5) In the development stage, shopping and catering are the main functions of the agglomeration area. In the advanced stage, main functions turn to accommodation, sports and fitness, culture and education, and leisure and entertainment. These four types of nighttime agglomerations form an obvious circle structure spatially.

Key words: nighttime economic agglomeration, Pole-Axis theory, Luojia-01 Nighttime Lights (NTL) data, Point of Interest (POI), Iterative Self-organizing Data Analysis Techniques Algorithm (ISODATA)

王琳, 钟泓文, 许章华, 王武林. Luojia-01夜光数据和“点轴发育”理论支持下的夜间经济集聚区定量识别与分类方法[J]. 地球信息科学学报, 2022, 24(11): 2141-2152.DOI:10.12082/dqxxkx.2022.220097

WANG Lin, ZHONG Hongwen, XU Zhanghua, WANG Wulin. Quantitative Identification and Classification of the Nighttime Economic Agglomeration based on the Luojia-01 NTL Data and Pole-Axis Theory[J]. Journal of Geo-information Science, 2022, 24(11): 2141-2152.DOI:10.12082/dqxxkx.2022.220097

图/表 15

图1

表1

图2

表2

夜间经济集聚区类型划分

集聚区类型	变异系数CV及区位熵Q值	备注
平衡发展-起步型	$C V ≤ C V s$ 且 $Q - ≤ 1$	各类业态专业化水平相近且水平相对较低
平衡发展-成熟型	C $V ≤ C V s$ 且 $Q - > 1$	各类业态专业化水平相近且水平相对较高
非平衡发展-起步型	$C V ＞ C V s$ 且 $Q ≤ 1$	各类业态专业化水平差异较大，且尚无业态发展到成熟阶段
非平衡发展-成熟型	$C V ＞ C V s$ 且存在 $Q > 1$	各类业态专业化水平差异较大，且至少存在一类业态发展到成熟阶段

表2

图3

表3

图4

表4

图5

表5

图6

表6

图7

表7

夜间经济集聚区类型及其功能专业化水平

类型	集聚区	$Q -$	$C V$	功能专业化水平	典型代表
平衡发展-起步型	5	0.68	0.65	餐饮、购物功能高于该集聚区平均水平	陕西南路商圈
	7	0.76	0.58	购物、体育休闲功能高于该集聚区平均水平	上海火车站商圈
平衡发展-成熟型	2	1.02	0.09	科教文化、住宿功能高于该集聚区平均水平	中山公园商圈
	3	1.06	0.21	科教文化、住宿功能高于该集聚区平均水平	徐家汇商圈、徐家汇公园
	4	1.05	0.11	餐饮、科教文化、体育休闲功能高于该集聚区平均水平	静安寺商圈
	6	1.15	0.18	科教文化、体育休闲、住宿功能高于该集聚区平均水平	南京西路商圈
	8	1.07	0.13	体育休闲、住宿功能高于该集聚区平均水平	新天地商圈
	9	1.01	0.09	住宿功能高于该集聚区平均水平	四川北路商业街
	10	1.00	0.13	购物、体育休闲功能高于该集聚区平均水平	人民广场商圈、南京东路步行街、外滩
非平衡发展-起步型	1	0.97	0.30	餐饮、体育休闲功能高于区域平均水平	新虹桥商圈
	11	0.85	0.24	购物功能高于区域平均水平	豫园商圈、十六铺
	13	0.84	0.35	餐饮、购物功能高于区域平均水平	陆家嘴
	14	0.92	0.36	餐饮、体育休闲功能高于区域平均水平	世纪大道商圈
非平衡发展-成熟型	12	1.02	0.27	餐饮、科教文化、体育休闲功能高于区域平均水平	五角场商圈
	15	1.10	1.31	购物、体育休闲功能高于平区域均水平	东方体育中心

表7

图8

参考文献 42

[1]	靳泓, 应文. 城市夜间经济研究综述[J]. 灯与照明, 2018, 42(1):26-30.
	[ Jin H, Ying W. A review of night-time economic research[J]. Light & Lighting, 2018, 42(1):26-30. ] DOI:10.3969/j.issn.1008-5521.2018.01.007 doi: 10.3969/j.issn.1008-5521.2018.01.007
[2]	周继洋. 夜间经济是促进经济发展的新引擎[J]. 中国国情国力, 2020(5):54-57.
	[ Zhou J Y. Night economy is a new engine to promote economic development[J]. China National Conditions and Strength, 2020(5):54-57. ] DOI:10.13561/j.cnki.zggqgl.2020.05.017 doi: 10.13561/j.cnki.zggqgl.2020.05.017
[3]	Talbot D, Böse M. Racism, criminalization and the development of night-time economies: Two case studies in London and Manchester[J]. Ethnic and Racial Studies, 2007, 30(1):95-118. DOI:10.1080/01419870601006579 doi: 10.1080/01419870601006579
[4]	Pennay A, Miller P, Busija L, et al. 'Wide-awake drunkenness'? Investigating the association between alcohol intoxication and stimulant use in the night-time economy[J]. Addiction, 2015, 110(2):356-65. DOI:10.1111/add.12742 doi: 10.1111/add.12742 pmid: 25220360
[5]	Farrimond H, Body K, Fleischer D. Reconfiguring the violent encounter? Preloading, security staff and breathalyser use in the night-time economy[J]. International Journal of Drug Policy, 2018, 56:108-115. DOI:10.1016/j.drugpo.2018.03.008 doi: S0955-3959(18)30078-1 pmid: 29625368
[6]	Talbot D. Regulation and racial differentiation in the construction of Night-time economies: A London case study[J]. Urban Studies, 2004, 41(4):887-901. DOI:10.1080/0042098042000194160 doi: 10.1080/0042098042000194160
[7]	Holton M. Examining student's night-time activity spaces: identities, performances, and transformations[J]. Geographical Research, 2017, 55(1):70-79. DOI:10.1111/1745-5871.12187 doi: 10.1111/1745-5871.12187
[8]	Brands J, Van Aalst I, Schwanen T. Safety, surveillance and policing in the night-time economy: (Re)turning to numbers[J]. Geoforum, 2015, 62:24-37. DOI:10.1016/j.geoforum.2015.03.008 doi: 10.1016/j.geoforum.2015.03.008
[9]	McArthur J, Robin E, Smeds E. Socio-spatial and temporal dimensions of transport equity for London's night time economy[J]. Transportation Research Part A: Policy and Practice, 2019, 121:433-443. DOI:10.1016/j.tra.2019.01.024 doi: 10.1016/j.tra.2019.01.024
[10]	梁强, 张建文. 新时代天津夜间经济发展环境与路径选择[J]. 城市, 2019(5):51-60.
	[ Liang Q, Zhang J W. The environment and path choice of Tianjin's night economic development in the new era[J]. City, 2019(5):51-60. ] DOI:10.3969/j.issn.1005-278X.2019.05.007 doi: 10.3969/j.issn.1005-278X.2019.05.007
[11]	程小敏. 中国城市美食夜间经济的消费特点与升级路径研究[J]. 消费经济, 2020, 36(4):11-21.
	[ Cheng X M. Study on consumption characteristics and upgrading path of urban night-time food economy in China[J]. Consumer Economics, 2020, 36(04):11-21. ]
[12]	来有为. 上海夜间经济的发展特征、存在的主要问题及相关政策建议[J]. 上海经济, 2019(5):5-14.
	[ Lai Y W. Development characteristics, the main problems and the relevant suggestions of Shanghai’s night-time economy[J]. Shanghai Economy, 2019(5):5-14. ] DOI:CNKI:SUN:SJIN.0.2019-05-002 doi: CNKI:SUN:SJIN.0.2019-05-002
[13]	Lin V S, Qin Y, Ying T, et al. Night-time economy vitality index: Framework and evidence[J]. Tourism Economics, 2021. https://doi.org/10.1177/13548166211042970. DOI:10.1177/13548166211042970 doi: 10.1177/13548166211042970
[14]	Zhou L, Shi Y, Zheng J. Business circle identification and spatiotemporal characteristics in the main urban area of Yiwu City based on POI and night-time light data[J]. Remote Sensing, 2021, 13(24): 5153. DOI:10.3390/rs13245153 doi: 10.3390/rs13245153
[15]	刘前媛, 范梦雪, 徐本营. 夜间经济集聚区功能业态结构及多样性研究[C]// 面向高质量发展的空间治理——2021中国城市规划年会论文集(14区域规划与城市经济).成都, 2021:394-405.
	[ Liu Q, Fan M, Xu B. Study on functional business structure and diversity of night economic agglomeration area[J]. Space governance for high-quality development- 2021 China Urban Planning Annual Conference (14Regional planning and urban economy). Chengdu, 2021: 394-405. ] DOI:10.26914/c.cnkihy.2021.028078 doi: 10.26914/c.cnkihy.2021.028078
[16]	曾磊鑫, 刘涛, 杜萍. 基于多源数据的夜间经济时空分布格局研究方法[J]. 地球信息科学学报, 2022, 24(1):38-49. doi: 10.12082/dqxxkx.2022.210212
	[ Zeng L X, Liu T, Du P. Research method of temporal and spatial distribution pattern of night-time economy based on multi-source data[J]. Journal of Geo-information Science, 2022, 24(1):38-49. ] DOI:10.12082/dqxxkx.2022.210212 doi: 10.12082/dqxxkx.2022.210212
[17]	柳富满, 刘嗣明, 朱媛媛. 武汉市夜间经济载体空间分布格局研究[J/OL]. 华中师范大学学报(自然科学版):1-15 [2022-03-23]. http://kns.cnki.net/kcms/detail/42.1178.N.20220307.1852.004.html.
	[ Liu F, Liu S, Zhu Y. The spatial distribution pattern of nighttime economy carriers in Wuhan[J/OL]. Journal of Central China Normal University(Natural Sciences):1-15 [2022-03-23]. http://kns.cnki.net/kcms/detail/42.1178.N.20220307.1852.004.html.]
[18]	师满江, 蒲沫桥. 基于多源数据的城市夜间经济圈空间格局及优化策略研究[C]// 面向高质量发展的空间治理——2021中国城市规划年会论文集(14区域规划与城市经济).成都, 2021:643-654.
	[ Shi M, Pu M. Research on the space pattern and optimization strategy of urban night economic circle based on multi-source data[J]. Space governance for high-quality development- 2021 China Urban Planning Annual Conference (14 regional planning and urban economy). Chengdu, 2021: 643-654. ] DOI:10.26914/c.cnkihy.2021.028104 doi: 10.26914/c.cnkihy.2021.028104
[19]	江苏省文化和旅游厅. 关于印发江苏省省级夜间文旅消费集聚区建设指南和评价指标(试行)的通知[EB/OL]. http://wlt.jiangsu.gov.cn/art/2020/9/2/art_48959_9482670.html, 2020-09-02.
	[ Jiangsu Provincial Department of Culture and Tourism. Notice on the issuance of guidelines and evaluation indicators (trial) for the construction of provincial-level night-time cultural and tourism consumption clusters in Jiangsu Province[EB/OL]. http://wlt.jiangsu.gov.cn/art/2020/9/2/art_48959_9482670.html, 2020-09-02. ]
[20]	胡华. 夜态城市[D]. 天津: 天津大学, 2008.
	[ Hu H. The evening-night time city[D]. Tianjin: Tianjin University, 2008. ] DOI:10.7666/d.y1532158 doi: 10.7666/d.y1532158
[21]	李志平, 现代服务业集聚区形成和发展的动力机制研究[D]. 上海: 同济大学, 2008.
	[ Li Z P. Study on the formation and development dynamism of modern service industries agglomeration districts[D]. Shanghai: Tongji University, 2008. ] DOI:CNKI:CDMD:1.2009.022397 doi: CNKI:CDMD:1.2009.022397
[22]	陆大道. 论区域的最佳结构与最佳发展——提出“点-轴系统”和“T”型结构以来的回顾与再分析[J]. 地理学报, 2001, 56(2):127-135. doi: 10.11821/xb200102001
	[ Lu D D. An analysis of spatial structure and optional regional development[J]. Acta Geographic Sinica, 2001, 56(2):127-135. ]
[23]	陆大道. 关于“点-轴”空间结构系统的形成机理分析[J]. 地理科学, 2002, 22(1):1-6.
	[ Lu D D. Formation and dynamics of the “Pole-Axis” spatial system[J]. Scientia Geographic Sinica, 2002, 22(1):1-6. ] DOI:10.3321/j.issn:0375-5444.2001.02.001 doi: 10.3321/j.issn:0375-5444.2001.02.001
[24]	刘卫东, 陆大道. 新时期我国区域空间规划的方法论探讨——以“西部开发重点区域规划前期研究”为例[J]. 地理学报, 2005(6):16-24.
	[ Liu W d, Lu D D. Methodological basis for manking regional spatial planning in China in the new era: A preliminary study based on planning of key economic regions in developing western China[J]. Acta Geographic Sinica, 2005(6):16-24. ] DOI:10.3321/j.issn:0375-5444.2005.06.002 doi: 10.3321/j.issn:0375-5444.2005.06.002
[25]	王亚飞, 樊杰. 基于中国主体功能区划的国家与省级点-轴结构解析[J]. 地理研究, 2019, 38(7):1651-1663. doi: 10.11821/dlyj020181114
	[ Wang Y F, Fan J. Spatial analysis of national-provincial Pole-Axis structure based on major function zoning in China[J]. Geographical Research, 2019, 38(7):1651-1663. ] DOI:CNKI:SUN:DLYJ.0.2019-07-009 doi: 10.11821/dlyj020181114
[26]	陆玉麒, 董平. 中国主要产业轴线的空间定位与发展态势——兼论点-轴系统理论与双核结构模式的空间耦合[J]. 地理研究, 2004, 23(4):521-529.
	[ Lu Y Q, Dong P. The spatial location and development situation of major industrial axes in China: a discussion on the coupling of Pole axis Theory and Dual nuclei Structure pattern[J]. Geographical Research, 2004, 23(4):521-529. ] DOI:CNKI:SUN:DLYJ.0.2004-04-012 doi: 10.11821/yj2004040013
[27]	梁泽, 黄姣, 韦飞黎, 等. 基于夜光遥感影像与百度POI数据的中国城市群空间范围识别方法[J]. 地理研究, 2020, 39(1):92-102. doi: 10.11821/dlyj020181002
	[ Liang Z, Huang J, Wei F L, et al. Identifying the spatial range of urban agglomeration in China based on night light remote sensing and POI data[J]. Geographical Research, 2020, 39(1):92-102. ] DOI:CNKI:SUN:DLYJ.0.2020-01-009 doi: CNKI:SUN:DLYJ.0.2020-01-009
[28]	钟林生, 曾瑜皙, 肖练练, 等. 呼伦贝尔农垦旅游资源空间特征及其发展模式[J]. 科学通报, 2018, 63(17):1740-1751.
	[ Zhong L S, Zeng Y X, Xiao L L, et al. Spatial characteristics of tourism resources and the development pattern in jurisdiction of Hulunbuir agricultural reclamation group[J]. China Science Bulletin, 2018, 63(17):1740-1751. ] DOI:CNKI:SUN:KXTB.0.2018-17-015 doi: CNKI:SUN:KXTB.0.2018-17-015
[29]	余柏蒗, 王丛笑, 宫文康, 等. 夜间灯光遥感与城市问题研究:数据,方法,应用和展望[J]. 遥感学报, 2021, 25(1):342-364.
	[ Yu B L, Wang C X, Gong W K, et al. Nighttime light remote sensing and urban studies: data, methods, applications, and prospects[J]. National Remote Sensing Bulletin, 2021, 25(1):342-364. ] DOI:10.11834/jrs.20211018 doi: 10.11834/jrs.20211018
[30]	钟士恩, 章锦河, 孙晋坤. 基于遗产保护与旅游发展综合评价的古镇型旅游目的地差异化发展路径研究——以江苏省为例[J]. 地理研究, 2015, 34(7):1380-1393. doi: 10.11821/dlyj201507016
	Zhang J H, Sun J K, et al. The diversified development of historic towns based on the integrated evaluation system of heritage conservation and tourism development in Jiangsu[J]. Geographical Research, 2015, 34(7):1380-1393. ] DOI:10.11821/dlyj201507016 doi: 10.11821/dlyj201507016
[31]	Steiner R L. Traditional shopping centers. Access: Research at the University of California Transportation center, 1998, 12:8-13.
[32]	孙宗耀, 翟秀娟, 孙希华, 等. 基于POI数据的生活设施空间分布及配套情况研究——以济南市内五区为例[J]. 地理信息世界, 2017, 24(1):65-70.
	[ Sun Z Y, Zhai X J, Sun X H, et al. Study on spatial distribution and matching situation of living facilities based on POI-taking five districts of Ji'nan as a case[J]. Geomatics World, 2017, 24(1):65-70. ] DOI:10.3969/j.issn.1672-1586.2017.01.013 doi: 10.3969/j.issn.1672-1586.2017.01.013
[33]	汤国安, 杨昕. ArcGIS地理信息系统空间分析实验教程[M]. 北京: 科学出版社, 2012:343-345.
	[ Tang G A, Yang X. ArcGIS Spatial Analysis Experiment Tutorial[M]. Beijing: Science Press, 2012,343-345. ]
[34]	张海平, 周星星, 汤国安, 等. 基于GIS场模型的城市餐饮服务热点探测及空间格局分析[J]. 地理研究, 2020, 39(2):354-369. doi: 10.11821/dlyj020181104
	[ Zhang H P, Zhou X X, Tang G A, et al. Hotspot discovery and its spatial pattern analysis for catering service in cities based on field model in GIS[J]. Economic Perspectives, 2020, 39(2):354-369. ] DOI:CNKI:SUN:DLYJ.0.2020-02-011 doi: CNKI:SUN:DLYJ.0.2020-02-011
[35]	FENG Z, PENG J, WU J S. Using DMSP/OLS Nighttime Light Data and K-Means Method to Identify Urban-Rural Fringe of Megacities[J]. Habitat International, 2020, 103:102227. DOI:10.1016/j.habitatint.2020.102227 doi: 10.1016/j.habitatint.2020.102227
[36]	浩飞龙, 施响, 白雪, 等. 多样性视角下的城市复合功能特征及成因探测:以长春市为例[J]. 地理研究, 2019, 38(2):247-258. doi: 10.11821/dlyj020170705
	[ Hao F L, Shi X, Bai X, et al. Geographic detection and multifunctional land use from the perspective of urban diversity: A case study of Changchun[J]. Geographical Research, 2019, 38(2):247-258. ] DOI:10.11821/dlyj020170705 doi: 10.11821/dlyj020170705
[37]	李涛, 刘家明, 王磊, 等. 中国外商旅游饭店业投资的空间动态差异与驱动要素解析[J]. 地理学报, 2017, 72(10):1904-1919. doi: 10.11821/dlxb201710013
	[ Li T, Liu J M, Wang L, et al. Spatial difference in international investment in hotels and its driving factors in China[J]. Acta Geographic Sinica, 2017, 72(10):1904-1919. ] DOI:10.11821/dlxb201710013 doi: 10.11821/dlxb201710013
[38]	上海市商务委员会. 关于上海推动夜间经济发展的指导意见[EB/OL]. https://sww.sh.gov.cn/gnmygl/20191115/0023-247278.html, 2019-04-23.
	[ Shanghai Municipal Commission of Commerce. Guiding Opinions on Shanghai's Promotion of Nighttime Economic Development[EB/OL]. https://sww.sh.gov.cn/gnmygl/20191115/0023-247278.html, 2019-04-23. ]
[39]	彭燕, 何国金, 张兆明, 等. 中国区域Landsat地表反射率产品[J]. 中国科学数据(中英文网络版), 2020, 5(4):57-66.
	[ Peng Y, He G J, Zhang Z M, et al. Landsat surface reflectance products over China[J]. China Scientific Data, 2020, 5(4):57-66. ] DOI: 10.11922/csdata.2020.0032.zh doi: 10.11922/csdata.2020.0032.zh
[40]	闫庆武, 厉飞, 李玲. 基于2种夜间灯光影像亮度修正指数的城市建成区提取研究[J]. 地球信息科学学报, 2020, 22(8):1714-1724. doi: 10.12082/dqxxkx.2020.200128
	[ Yan Q W, Li F, Li L. Research on built-up area extraction via brightness correction indexes based on two kinds of nighttime light images[J]. Journal of Geo-information Science, 2020, 22(8):1714-1724. ] DOI:10.12082/dqxxkx.2020.200128 doi: 10.12082/dqxxkx.2020.200128
[41]	王毓乾, 王紫锟, 邓志杰, 等. 兴趣点,夜光遥感和微博签到的空间耦合分析——以北京市为例[J]. 遥感信息, 2019, 34(6):18-26.
	[ Wang Y Q, Wang Z K, Deng Z J, et al. Spatial coupling analysis between POI, luminous remote sensing and Weibo sign-in data: a case study of Beijing[J]. Remote Sensing Information, 2019, 34(6):18-26. ] DOI:10.3969/j.issn.1000-3177.2019.06.004 doi: 10.3969/j.issn.1000-3177.2019.06.004
[42]	上海市人民政府. 全力打响“上海购物”品牌加快建设国际消费中心城市三年行动计划(2021-2023年)[EB/OL]. 2021-07-30. https://www.shanghai.gov.cn/nw12344/20210730/0fff15a63bc34820a372c23a0ce5a87e.html.
	[ Shanghai Municipal People's Government. Three-Year Action Plan to Launch the Shanghai Shopping Brand and Accelerate the Construction of an International Consumption Center City(2021-2023)[EB/OL]. 2021-07-30. https://www.shanghai.gov.cn/nw12344/20210730/0fff15a63bc34820a372c23a0ce5a87e.html. ]

	功能要素类型
	餐饮	购物	住宿	体育休闲	科教文化
权重值	0.2573	0.4420	0.0721	0.0783	0.1503

功能要素类型	POI子类	数量/个	比例/%
餐饮功能	中餐厅、外国餐厅、快餐厅、休闲餐饮场所、咖啡厅、茶艺馆、冷饮店、糕饼店、甜品店、其他餐饮场所	69 004	24.37
购物功能	商场、便利店、家电电子卖场、超级市场、花鸟鱼虫市场、家居建材市场、综合市场、文化用品店、体育用品店、特色商业街、服装鞋帽皮具店、专卖店、特殊买卖场所、个人用品店、其他购物场所	128 238	45.29
住宿功能	宾馆酒店、旅馆招待所、其他住宿场所	20 979	7.41
体育休闲功能	运动场馆、高尔夫相关、娱乐场所、度假疗养场所、休闲场所、影剧院、其他体育休闲场所	21 262	7.51
科教文化功能	图书馆、文化宫、展览馆、博物馆、科技馆、美术馆、会展中心、培训机构、传媒机构、艺术团体、其他科教文化场所	43 638	15.41

夜间经济集聚中心等级	集聚中心数量	占比/（%）	平均活力值
第1级	12	3.13	0.49
第2级	26	6.77	0.24
第3级	60	15.63	0.13
第4级	111	28.91	0.07
第5级	175	45.57	0.03

类别序号	夜间经济活力强度平均值	夜间经济活力起伏度平均值
1	0.02	0.04
2	0.06	0.09
3	0.10	0.18
4	0.16	0.38
5	0.34	0.68

上海地标性夜生活集聚区	识别结果
五角场-大学路	属于集聚区12
思南公馆-复兴公园	识别为集聚中心（二级）
豫园	属于集聚区11
浦东滨江富都-船厂	属于集聚区13
吴江路-张园	属于集聚区6
静安寺	属于集聚区4
黄浦滨江外滩	属于集聚区10
新天地-158坊	属于集聚区8
人民广场-南京路	属于集聚区10
衡复地区	识别为集聚中心（三级）
吴中路	识别为集聚中心（三级）
环大宁马戏城	未被识别，周边有大宁国际商业广场等三级集聚中心

Luojia-01夜光数据和“点轴发育”理论支持下的夜间经济集聚区定量识别与分类方法

Quantitative Identification and Classification of the Nighttime Economic Agglomeration based on the Luojia-01 NTL Data and Pole-Axis Theory

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 15

参考文献 42

相关文章 0

Metrics

本文评价

推荐阅读 0