{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,4]],"date-time":"2026-01-04T08:08:03Z","timestamp":1767514083642,"version":"build-2065373602"},"reference-count":52,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2024,9,17]],"date-time":"2024-09-17T00:00:00Z","timestamp":1726531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Natural Science General Program of Jiangsu Provincial Higher Education Institutions","award":["24KJB560010"],"award-info":[{"award-number":["24KJB560010"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>In the face of diverse chronic pressures and increased factor mobility, the resilience of urban internal network structures has become a cutting-edge research topic. This study utilizes 2019 mobile signaling big data to construct employment and recreational flow networks among 101 townships and streets within Nanjing City. Based on the characteristics of these network structures, the resilience of the network structure is measured from the perspectives of density, symmetry, and transmissibility through interruption simulation techniques. The results show that the intensity of population mobility within Nanjing presents a general decay from the central urban area to the outer layers. In the employment scenario, cross-river population mobility is more frequent, while in the recreational scenario, the natural barrier effect of the Yangtze River is prominent. Due to the concentration of employment centers and high spatial heterogeneity, the employment flow network exhibits greater vulnerability to sudden shocks. Townships and streets with weighted degree values ranking around 60 and 80 are of great importance for maintaining the normal operation of both employment and recreational flow networks. Strengthening the construction of resilient parks and village planning within resilient cities can enhance the risk resistance of employment and recreational flow networks.<\/jats:p>","DOI":"10.3390\/ijgi13090331","type":"journal-article","created":{"date-parts":[[2024,9,18]],"date-time":"2024-09-18T00:51:43Z","timestamp":1726620703000},"page":"331","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Urban Internal Network Structure and Resilience Characteristics from the Perspective of Population Mobility: A Case Study of Nanjing, China"],"prefix":"10.3390","volume":"13","author":[{"given":"Zherui","family":"Li","sequence":"first","affiliation":[{"name":"Department of Urban Planning, College of Architecture, Nanjing Tech University, Nanjing 211816, China"},{"name":"Urban and Rural Planning Big Data Lab, Nanjing Tech University, Nanjing 211816, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wen","family":"Chen","sequence":"additional","affiliation":[{"name":"Future Laboratory, Tsinghua University, Haidian District, Beijing 100084, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8958-1803","authenticated-orcid":false,"given":"Wei","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Economics, E. J. Ourso College of Business, Louisiana State University, Baton Rouge, LA 70808, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhe","family":"Cui","sequence":"additional","affiliation":[{"name":"Beijing Municipal Institute of City Planning and Design, Beijing 100045, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,9,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.compenvurbsys.2015.02.005","article-title":"Combining smart card data and household travel survey to analyze jobs-housing relationships in Beijing","volume":"53","author":"Long","year":"2015","journal-title":"Comput. Environ. 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