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dc.contributor.authorRout, Angela
dc.contributor.authorWillett, Wesley
dc.date.accessioned2021-02-24T17:20:37Z
dc.date.available2021-02-24T17:20:37Z
dc.date.issued2021-02-24
dc.identifier.urihttp://hdl.handle.net/1880/113114
dc.descriptionPre-print of a book chapter in title: 'Urban informatics for future cities', for the "CUPUM 17th annual conference". https://www.cupum2021.org/en_US
dc.description.abstractWe present the SmartCampus visualization tool, representing spatiotemporal data of over 200 student pathways and restpoints on a university campus. Based on our experiences with SmartCampus, we also propose a task-based framework that de-scribes how practicing urban designers (specifically, architects) can use human movement data visualizations in their work. Although extensive amounts of location data are produced daily by smartphones, existing geospatial tools are not customized to specifically support high-level urban design tasks. To help identify opportunities in urban design for visualizing human movement data from devices such as smartphones, we used our SmartCampus prototype to facilitate a series of 3 participatory design sessions (3 participants), a targeted online survey (14 participants), and semi-structured interviews (6 participants) with architectural experts. Our findings showcase the need for location analysis tools tailored to concrete urban design practices, and also highlight opportunities for Smart City researchers interested in developing domain specific, visualization tools.en_US
dc.language.isoengen_US
dc.rightsUnless otherwise indicated, this material is protected by copyright and has been made available with authorization from the copyright owner. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.en_US
dc.subjectsmartphone dataen_US
dc.subjectGPSen_US
dc.subjectdata visualizationen_US
dc.subjectarchitectureen_US
dc.subjecturban designen_US
dc.subjecttask-based frameworken_US
dc.subjecthigh-level tasksen_US
dc.title(Big) data in urban design practice: supporting high-level design tasks using a visualization of human movement data from smartphonesen_US
dc.typebook parten_US
dc.publisher.facultyScienceen_US
dc.publisher.departmentComputer Scienceen_US
dc.publisher.institutionUniversity of Calgaryen_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/38653
dc.publisher.hasversionsubmittedVersionen_US
ucalgary.item.requestcopytrueen_US
ucalgary.scholar.levelGraduateen_US
ucalgary.scholar.levelFacultyen_US


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Unless otherwise indicated, this material is protected by copyright and has been made available with authorization from the copyright owner. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.