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In the past, research on space use was predicated on selective samples and labour-intense fieldwork, mainly through direct observations that were often inaccurate through necessity. Computer vision technology allows space use to be monitored, represented, and quantified in ways not considered before, minimising errors and bias that can affect reliability and validity. The careful use of the technological potential of computer vision opens up new ways of identifying phenomena, becoming aware of systematic patterns and regularities and inquiring further into the degree of congruence between the physical organisation of layouts and patterns of space use. <\/jats:p>","DOI":"10.1177\/0265813515599512","type":"journal-article","created":{"date-parts":[[2015,8,4]],"date-time":"2015-08-04T01:49:25Z","timestamp":1438652965000},"page":"830-856","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Computer vision of mobility: towards a space-use analysis method"],"prefix":"10.1177","volume":"42","author":[{"given":"Ana","family":"Tom\u00e9","sequence":"first","affiliation":[{"name":"CERIS\u2014Civil Engineering Research and Innovation for Sustainability, ICIST\u2014Instituto de Engenharia de Estruturas, Territ\u00f3rio e Constru\u00e7\u00e3o, Department of Civil Engineering, 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