Publication:
Pedestrian tracking in outdoor spaces of a suburban university campus for the investigation of occupancy patterns

dc.contributor.authorGöçer, Özgür
dc.contributor.authorGöçer, K.
dc.contributor.authorÖzcan, Barış
dc.contributor.authorBakovic, M.
dc.contributor.authorKıraç, Mustafa Furkan
dc.contributor.departmentComputer Science
dc.contributor.departmentArchitecture
dc.contributor.ozuauthorGÖÇER, Özgür
dc.contributor.ozuauthorKIRAÇ, Mustafa Furkan
dc.contributor.ozugradstudentÖzcan, Barış
dc.date.accessioned2020-08-21T07:00:50Z
dc.date.available2020-08-21T07:00:50Z
dc.date.issued2019-02
dc.description.abstractThe design of a livable and comfortable environment has been one of the main aims of sustainable university campus design. The creation of outdoor spaces for accommodating amenities has a positive effect on users with regard to various physiological and psychological aspects. Knowing how daily activity patterns and pedestrian movements are distributed across space is important for assessing whether or not human use and design plans are in fact successful. The aim of this study is to determine occupancy patterns and pedestrian routes in outdoor spaces during different seasons at a sustainable university campus by using spatial statistical analyses that involve ANN, MC and SDE. To perform these analyses, the researchers attempted to use a pedestrian tracking method from camera surveillance to aggregate the required data by conducing a longitudinal study. The data that were aggregated by pedestrian tracking was visualized with the use of a spatio-temporal mapping method in GIS. Logistic GWR was performed to seek the relationship between occupancy pattern (clustered distribution) and design layout of open spaces, comprising the variables of proximity to the attraction centers/entrances, and visual integration. The results confirmed that occupants prefer to use the areas that have high visual integration value and are close to attraction centers.
dc.description.sponsorshipTÜBİTAK
dc.identifier.doi10.1016/j.scs.2018.11.006
dc.identifier.endpage142
dc.identifier.issn2210-6707
dc.identifier.scopus2-s2.0-85057449252
dc.identifier.startpage131
dc.identifier.urihttp://hdl.handle.net/10679/6798
dc.identifier.urihttps://doi.org/10.1016/j.scs.2018.11.006
dc.identifier.volume45
dc.identifier.wos000455274500012
dc.language.isoeng
dc.peerreviewedyes
dc.publicationstatusPublished
dc.publisherElsevier
dc.relation.ispartofSustainable Cities and Society
dc.relation.projectinfo:eu-repo/grantAgreement/TUBITAK/1001 - Bilimsel ve Teknolojik Araştırma Projelerini Destekleme Programı/115Y225
dc.relation.publicationcategoryInternational Refereed Journal
dc.rightsrestrictedAccess
dc.subject.keywordsPedestrian tracking
dc.subject.keywordsSpatio-temporal mapping
dc.subject.keywordsOutdoor spaces
dc.subject.keywordsOccupancy pattern
dc.subject.keywordsSustainable campus
dc.subject.keywordsLogistic geographically weighted regression
dc.titlePedestrian tracking in outdoor spaces of a suburban university campus for the investigation of occupancy patterns
dc.typearticle
dspace.entity.typePublication
relation.isOrgUnitOfPublication85662e71-2a61-492a-b407-df4d38ab90d7
relation.isOrgUnitOfPublication90b26182-c9cb-45ba-8961-d43ebaafde63
relation.isOrgUnitOfPublication.latestForDiscovery85662e71-2a61-492a-b407-df4d38ab90d7

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