{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T01:25:28Z","timestamp":1760232328783,"version":"build-2065373602"},"reference-count":99,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2022,10,21]],"date-time":"2022-10-21T00:00:00Z","timestamp":1666310400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"The Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation Ministry of Natural Resources","award":["KF-2020-05-073"],"award-info":[{"award-number":["KF-2020-05-073"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The metropolitan circle is the basic unit of regional competition. Enhancing the connection between cities in the metropolitan circle and optimizing the spatial layout of the metropolitan circle is one of the goals of regional high-quality development in the new era. Therefore, it is of great significance to analyze the spatial network structure of the metropolitan circle. Taking Hangzhou metropolitan circle as an example, this study used web crawler technology to obtain data in multiple Internet big data platforms; used centrality analysis, flow data model, and social network analysis to construct the network connection matrix of human flow, goods flow, capital flow, information flow, and traffic flow; and explored the spatial network structure of the metropolitan circle. The results showed that the node intensity of the metropolitan circle presented a distribution pattern of strong in the east and weak in the west. The network connections of each county under the action of different element flows were different, and the skeleton of the integrated flow network connections showed a starfish-shaped feature. Hangzhou, Jiaxing, Huzhou, and Shaoxing cities had strong group effects in goods flow and traffic flow, while Quzhou and Huangshan cities had relatively independent cohesive subgroups in human flow and information flow. This study can provide useful references for regional development and spatial planning implementation.<\/jats:p>","DOI":"10.3390\/rs14205266","type":"journal-article","created":{"date-parts":[[2022,10,24]],"date-time":"2022-10-24T10:09:23Z","timestamp":1666606163000},"page":"5266","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Exploring Spatial Network Structure of the Metropolitan Circle Based on Multi-Source Big Data: A Case Study of Hangzhou Metropolitan Circle"],"prefix":"10.3390","volume":"14","author":[{"given":"Jing","family":"Zhang","sequence":"first","affiliation":[{"name":"Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China"},{"name":"Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qi","family":"Hao","sequence":"additional","affiliation":[{"name":"Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinming","family":"Chen","sequence":"additional","affiliation":[{"name":"Territorial Consolidation Center in Zhejiang Province, Department of Natural Resources of Zhejiang Province, Hangzhou 310007, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Congmou","family":"Zhu","sequence":"additional","affiliation":[{"name":"Department of Land Resources Management, Zhejiang Gongshang University, Hangzhou 310018, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ling","family":"Zhang","sequence":"additional","affiliation":[{"name":"Zhejiang Shuzhi Space Planning Design Co., Ltd., Hangzhou 310000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mengjia","family":"Hong","sequence":"additional","affiliation":[{"name":"Zhejiang Shuzhi Space Planning Design Co., Ltd., Hangzhou 310000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiexia","family":"Wu","sequence":"additional","affiliation":[{"name":"Beijing Presky Technology Co., Ltd., Beijing 100195, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muye","family":"Gan","sequence":"additional","affiliation":[{"name":"Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,10,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Taylor, P.J., and Derudder, B. 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