{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T00:57:37Z","timestamp":1780361857690,"version":"3.54.1"},"reference-count":48,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2023,8,4]],"date-time":"2023-08-04T00:00:00Z","timestamp":1691107200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key R&amp;D Program of China","award":["2021YFB3900904"],"award-info":[{"award-number":["2021YFB3900904"]}]},{"name":"National Key R&amp;D Program of China","award":["42071452"],"award-info":[{"award-number":["42071452"]}]},{"name":"National Key R&amp;D Program of China","award":["2022JJ20059"],"award-info":[{"award-number":["2022JJ20059"]}]},{"name":"National Key R&amp;D Program of China","award":["2023CXQD013"],"award-info":[{"award-number":["2023CXQD013"]}]},{"name":"National Nature Science Foundation of China","award":["2021YFB3900904"],"award-info":[{"award-number":["2021YFB3900904"]}]},{"name":"National Nature Science Foundation of China","award":["42071452"],"award-info":[{"award-number":["42071452"]}]},{"name":"National Nature Science Foundation of China","award":["2022JJ20059"],"award-info":[{"award-number":["2022JJ20059"]}]},{"name":"National Nature Science Foundation of China","award":["2023CXQD013"],"award-info":[{"award-number":["2023CXQD013"]}]},{"name":"Hunan Provincial Natural Science Foundation of China","award":["2021YFB3900904"],"award-info":[{"award-number":["2021YFB3900904"]}]},{"name":"Hunan Provincial Natural Science Foundation of China","award":["42071452"],"award-info":[{"award-number":["42071452"]}]},{"name":"Hunan Provincial Natural Science Foundation of China","award":["2022JJ20059"],"award-info":[{"award-number":["2022JJ20059"]}]},{"name":"Hunan Provincial Natural Science Foundation of China","award":["2023CXQD013"],"award-info":[{"award-number":["2023CXQD013"]}]},{"name":"Central South University Innovation-Driven Research Program","award":["2021YFB3900904"],"award-info":[{"award-number":["2021YFB3900904"]}]},{"name":"Central South University Innovation-Driven Research Program","award":["42071452"],"award-info":[{"award-number":["42071452"]}]},{"name":"Central South University Innovation-Driven Research Program","award":["2022JJ20059"],"award-info":[{"award-number":["2022JJ20059"]}]},{"name":"Central South University Innovation-Driven Research Program","award":["2023CXQD013"],"award-info":[{"award-number":["2023CXQD013"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The travel source\u2013sink phenomenon is a typical urban traffic anomaly that reflects the imbalanced dissipation and aggregation of human mobility activities. It is useful for pertinently balancing urban facilities and optimizing urban structures to accurately sense the spatiotemporal ranges of travel source\u2013sinks, such as for public transportation station optimization, sharing resource configurations, or stampede precautions among moving crowds. Unlike remote sensing using visual features, it is challenging to sense imbalanced and arbitrarily shaped source\u2013sink areas using human mobility trajectories. This paper proposes a density-based adaptive clustering method to identify the spatiotemporal ranges of travel source\u2013sink patterns. Firstly, a spatiotemporal field is utilized to construct a stable neighborhood of origin and destination points. Then, binary spatiotemporal statistical hypothesis tests are proposed to identify the source and sink core points. Finally, a density-based expansion strategy is employed to detect the spatial areas and temporal durations of sources and sinks. The experiments conducted using bicycle trajectory data in Shanghai show that the proposed method can accurately extract significantly imbalanced dissipation and aggregation events. The travel source\u2013sink patterns detected by the proposed method have practical reference, meaning that they can provide useful insights into the redistribution of bike-sharing and station resources.<\/jats:p>","DOI":"10.3390\/rs15153874","type":"journal-article","created":{"date-parts":[[2023,8,4]],"date-time":"2023-08-04T09:28:04Z","timestamp":1691141284000},"page":"3874","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Sensing Travel Source\u2013Sink Spatiotemporal Ranges Using Dockless Bicycle Trajectory via Density-Based Adaptive Clustering"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9136-9764","authenticated-orcid":false,"given":"Yan","family":"Shi","sequence":"first","affiliation":[{"name":"Department of Geo-Informatics, Central South University, Changsha 410006, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0428-5982","authenticated-orcid":false,"given":"Da","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Geo-Informatics, Central South University, Changsha 410006, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaolong","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Geo-Informatics, Central South University, Changsha 410006, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bingrong","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Geo-Informatics, Central South University, Changsha 410006, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen","family":"Ding","sequence":"additional","affiliation":[{"name":"Department of Geo-Informatics, Central South University, Changsha 410006, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shijuan","family":"Gao","sequence":"additional","affiliation":[{"name":"Department of Geo-Informatics, Central South University, Changsha 410006, China"},{"name":"Information and Network Center, Central South University, Changsha 410006, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,8,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"101676","DOI":"10.1016\/j.compenvurbsys.2021.101676","article-title":"Urban Morphology and Traffic Congestion: Longitudinal Evidence from US Cities","volume":"89","author":"Wang","year":"2021","journal-title":"Comput. 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