{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T16:06:23Z","timestamp":1783526783929,"version":"3.55.0"},"reference-count":26,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2021,7,10]],"date-time":"2021-07-10T00:00:00Z","timestamp":1625875200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61702010, 61972439, 61672039"],"award-info":[{"award-number":["61702010, 61972439, 61672039"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003995","name":"Natural Science Foundation of Anhui Province","doi-asserted-by":"publisher","award":["1808085MF172"],"award-info":[{"award-number":["1808085MF172"]}],"id":[{"id":"10.13039\/501100003995","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Program in the Youth Elite Support Plan in Universities of Anhui Province","award":["gxyqZD2020004"],"award-info":[{"award-number":["gxyqZD2020004"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Urban hotspot area detection is an important issue that needs to be explored for urban planning and traffic management. It is of great significance to mine hotspots from taxi trajectory data, which reflect residents\u2019 travel characteristics and the operational status of urban traffic. The existing clustering methods mainly concentrate on the number of objects contained in an area within a specified size, neglecting the impact of the local density and the tightness between objects. Hence, a novel algorithm is proposed for detecting urban hotspots from taxi trajectory data based on nearest neighborhood-related quality clustering techniques. The proposed spatial clustering algorithm not only considers the maximum clustering in a limited range but also considers the relationship between each cluster center and its nearest neighborhood, effectively addressing the clustering issue of unevenly distributed datasets. As a result, the proposed algorithm obtains high-quality clustering results. The visual representation and simulated experimental results on a real-life cab trajectory dataset show that the proposed algorithm is suitable for inferring urban hotspot areas, and that it obtains better accuracy than traditional density-based methods.<\/jats:p>","DOI":"10.3390\/ijgi10070473","type":"journal-article","created":{"date-parts":[[2021,7,12]],"date-time":"2021-07-12T00:23:36Z","timestamp":1626049416000},"page":"473","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Urban Hotspot Area Detection Using Nearest-Neighborhood-Related Quality Clustering on Taxi Trajectory Data"],"prefix":"10.3390","volume":"10","author":[{"given":"Qingying","family":"Yu","sequence":"first","affiliation":[{"name":"School of Computer and Information, Anhui Normal University, Wuhu 241002, China"},{"name":"Anhui Provincial Key Laboratory of Network and Information Security, Anhui Normal University, Wuhu 241002, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chuanming","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer and Information, Anhui Normal University, Wuhu 241002, China"},{"name":"Anhui Provincial Key Laboratory of Network and Information Security, Anhui Normal University, Wuhu 241002, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liping","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Computer and Information, Anhui Normal University, Wuhu 241002, China"},{"name":"Anhui Provincial Key Laboratory of Network and Information Security, Anhui Normal University, Wuhu 241002, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoyao","family":"Zheng","sequence":"additional","affiliation":[{"name":"School of Computer and Information, Anhui Normal University, Wuhu 241002, China"},{"name":"Anhui Provincial Key Laboratory of Network and Information Security, Anhui Normal University, Wuhu 241002, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,7,10]]},"reference":[{"key":"ref_1","first-page":"1","article-title":"Geographical and temporal huff model calibration using taxi trajectory data","volume":"4","author":"Gong","year":"2020","journal-title":"GeoInformatica"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1007\/s00779-003-0240-0","article-title":"Using GPS to learn significant locations and predict movement across multiple users","volume":"7","author":"Ashbrook","year":"2003","journal-title":"Pers. 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