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dc.contributor.authorŠimara, Evacs
dc.contributor.authorKilnarová, Pavlacs
dc.contributor.authorPalacký, Jiřícs
dc.contributor.authorVašut, Radkacs
dc.date.accessioned2021-02-22T15:56:21Z
dc.date.available2021-02-22T15:56:21Z
dc.date.issued2020-11-09cs
dc.identifier.citationTRANSPORTATION RESEARCH RECORD. 2020, vol. 2675, issue 2, p. 187-197.en
dc.identifier.issn0361-1981cs
dc.identifier.other161963cs
dc.identifier.urihttp://hdl.handle.net/11012/196350
dc.description.abstractThis paper presents experimental research of the automatic data collection on the characteristics of pedestrians in public spaces. Three case studies in the streets of the pedestrian zone in the centre of Brno, a typical representative of a medium-large city in Central Europe, were selected for the demonstration of the proposed method. Data was observed in two ways: (i) automatic data collection, with the use of a data-logger on the principle of a minicomputer employing measurement of the intensity of the Wi-Fi signal from mobile devices, and (ii) in-situ observation. Data obtained by in-situ observation was collected to compare and verify the corresponding values of automatic collection. The research framework of the paper takes in the determination of exact values that can best define the character of walking behaviour in the given locality with a view to the conventions of previously published works, such as: (i) the number of pedestrians N; (ii) speed u; (iii) flow q; and (iv) density k. The results obtained demonstrate that the proposed method is suitable for projects of a larger scale, rather than monitoring a single street. A limiting factor to its application is the increasing density of the street network, which reduces the accuracy of the method. The data may make a valuable contribution towards the determination of long-term trends in mostly frequently used routes to walk through city centres. Data on numbers of visitors is valuable from the viewpoint of assessing the quality of time spent in the public space in cities.en
dc.formattextcs
dc.format.extent187-197cs
dc.format.mimetypeapplication/pdfcs
dc.language.isoencs
dc.publisherSAGE Publications Ltdcs
dc.relation.ispartofTRANSPORTATION RESEARCH RECORDcs
dc.relation.urihttps://doi.org/10.1177/0361198120961096cs
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalcs
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/cs
dc.subjectPedestriansen
dc.subjectSpeeden
dc.subjectDensityen
dc.subjectAutomatic Wi-Fi data collectionen
dc.titleUsing Wi-Fi Signals from Mobile Devices to Determine Characteristics of Pedestrian Behavior in Public Spacesen
thesis.grantorVysoké učení technické v Brně. Fakulta architektury. Ústav prostorové tvorbycs
thesis.grantorVysoké učení technické v Brně. Fakulta architektury. Ústav urbanismucs
sync.item.dbidVAV-161963en
sync.item.dbtypeVAVen
sync.item.insts2021.02.22 16:56:20en
sync.item.modts2021.02.22 16:16:08en
dc.coverage.issue2cs
dc.coverage.volume2675cs
dc.identifier.doi10.1177/0361198120961096cs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/0361-1981/cs
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionacceptedVersionen


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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International