{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,12]],"date-time":"2024-09-12T04:32:43Z","timestamp":1726115563445},"reference-count":47,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2019,10,23]],"date-time":"2019-10-23T00:00:00Z","timestamp":1571788800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1634641"],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Transactions in GIS"],"published-print":{"date-parts":[[2020,2]]},"abstract":"Abstract<\/jats:title>Understanding diverse characteristics of human mobility provides profound knowledge of urban dynamics and complexity. Human movements are recorded in a variety of data sources and each describes unique mobility characteristics. Revealing similarity and difference in mobility data sources facilitates grasping comprehensive human mobility patterns. This study introduces a new method to measure similarities on two origin\u2013destination (OD) matrices by spatially extending an image\u2010assessment tool, the structural similarity index (SSIM). The new measurement, spatially weighted SSIM (SpSSIM), utilizes weight matrices to overcome the SSIM sensitivity issue due to the ordering of OD pairs by explicitly defining spatial adjacency. To evaluate SpSSIM, we compared performances between SSIM and SpSSIM with resampling the orders of OD pairs and conducted bootstrapping to test the statistical significance of SpSSIM. As a case study, we compared OD matrices generated from three data sources in San Diego County, CA: U.S. Census\u2010based Longitudinal Employer\u2013Household Dynamics Origin\u2013Destination employment statistics, Twitter, and Instagram. The case study demonstrated that SpSSIM was able to capture similarities of mobility patterns between datasets that\u00a0varied by distance. Some regions showed local dissimilarity while the global index indicated they were similar. The results enhance the understanding of complex mobility patterns from various datasets, including social media.<\/jats:p>","DOI":"10.1111\/tgis.12590","type":"journal-article","created":{"date-parts":[[2019,10,24]],"date-time":"2019-10-24T04:00:37Z","timestamp":1571889637000},"page":"104-122","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Similarity measurement on human mobility data with spatially weighted structural similarity index\u00a0(SpSSIM)"],"prefix":"10.1111","volume":"24","author":[{"ORCID":"http:\/\/orcid.org\/0000-0001-8883-8817","authenticated-orcid":false,"given":"Chanwoo","family":"Jin","sequence":"first","affiliation":[{"name":"Department of Geography San Diego State University San Diego California USA"},{"name":"Department of Geography University of California Santa Barbara Santa Barbara California USA"},{"name":"Center for Human Dynamics in the Mobile Age San Diego California USA"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-4173-7773","authenticated-orcid":false,"given":"Atsushi","family":"Nara","sequence":"additional","affiliation":[{"name":"Department of Geography San Diego State University San Diego California USA"},{"name":"Center for Human Dynamics in the Mobile Age San Diego California USA"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-4246-0470","authenticated-orcid":false,"given":"Jiue\u2010An","family":"Yang","sequence":"additional","affiliation":[{"name":"Calit2\/Qualcomm Institute University of California San Diego La Jolla California USA"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-3421-486X","authenticated-orcid":false,"given":"Ming\u2010Hsiang","family":"Tsou","sequence":"additional","affiliation":[{"name":"Department of Geography San Diego State University San Diego California USA"},{"name":"Center for Human Dynamics in the Mobile Age San Diego California USA"}]}],"member":"311","published-online":{"date-parts":[[2019,10,23]]},"reference":[{"key":"e_1_2_9_2_1","volume-title":"Proceedings of the 39th Australasian Transport Research Forum","author":"Behara K. 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