The use of Bluetooth for analysing spatiotemporal dynamics of human movement at mass events: A case study of the Ghent Festivities
In this paper, proximity-based Bluetooth tracking is postulated as an efficient and effective methodology for analysing the complex spatiotemporal dynamics of visitor movements at mass events. A case study of the Ghent Festivities event (1.5 million visitors over 10 days) is described in detail and...
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Veröffentlicht in: | Applied geography (Sevenoaks) 2012-03, Vol.32 (2), p.208-220 |
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creator | Versichele, Mathias Neutens, Tijs Delafontaine, Matthias Van de Weghe, Nico |
description | In this paper, proximity-based Bluetooth tracking is postulated as an efficient and effective methodology for analysing the complex spatiotemporal dynamics of visitor movements at mass events. A case study of the Ghent Festivities event (1.5 million visitors over 10 days) is described in detail and preliminary results are shown to give an indication of the added value of the methodology for stakeholders of the event. By covering 22 locations in the study area with Bluetooth scanners, we were able to extract 152,487 trajectories generated by 80,828 detected visitors. Apart from generating clear statistics such as visitor counts, the share of returning visitors, and visitor flow maps, the analyses also reveal the complex nature of this event by hinting at the existence of several mutually different visitor profiles. We conclude by arguing why Bluetooth tracking offers significant advantages for tracking mass event visitors with respect to other and more prominent technologies, and outline some of its remaining deficiencies.
► Bluetooth tracking is employed for studying spatiotemporal dynamics of a mass event. ► The trajectories of 80,828 visitors were analysed over 10 days. ► The spatiotemporal variation of crowdedness, and visit (or) characteristics are shown. ► The used methodology offers significant advantages in the context of mass events. |
doi_str_mv | 10.1016/j.apgeog.2011.05.011 |
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► Bluetooth tracking is employed for studying spatiotemporal dynamics of a mass event. ► The trajectories of 80,828 visitors were analysed over 10 days. ► The spatiotemporal variation of crowdedness, and visit (or) characteristics are shown. ► The used methodology offers significant advantages in the context of mass events.</description><identifier>ISSN: 0143-6228</identifier><identifier>EISSN: 1873-7730</identifier><identifier>DOI: 10.1016/j.apgeog.2011.05.011</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Bluetooth ; Dynamic tests ; Dynamics ; Geographical information systems ; Geographical information technology ; Mass event ; Methodology ; Movement ; Statistics ; Tracking</subject><ispartof>Applied geography (Sevenoaks), 2012-03, Vol.32 (2), p.208-220</ispartof><rights>2011 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c417t-f6b05881f152053411f012bb75f6f5af7fe8867303ca9901730fd16a5d7cde323</citedby><cites>FETCH-LOGICAL-c417t-f6b05881f152053411f012bb75f6f5af7fe8867303ca9901730fd16a5d7cde323</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.apgeog.2011.05.011$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3548,27923,27924,45994</link.rule.ids></links><search><creatorcontrib>Versichele, Mathias</creatorcontrib><creatorcontrib>Neutens, Tijs</creatorcontrib><creatorcontrib>Delafontaine, Matthias</creatorcontrib><creatorcontrib>Van de Weghe, Nico</creatorcontrib><title>The use of Bluetooth for analysing spatiotemporal dynamics of human movement at mass events: A case study of the Ghent Festivities</title><title>Applied geography (Sevenoaks)</title><description>In this paper, proximity-based Bluetooth tracking is postulated as an efficient and effective methodology for analysing the complex spatiotemporal dynamics of visitor movements at mass events. A case study of the Ghent Festivities event (1.5 million visitors over 10 days) is described in detail and preliminary results are shown to give an indication of the added value of the methodology for stakeholders of the event. By covering 22 locations in the study area with Bluetooth scanners, we were able to extract 152,487 trajectories generated by 80,828 detected visitors. Apart from generating clear statistics such as visitor counts, the share of returning visitors, and visitor flow maps, the analyses also reveal the complex nature of this event by hinting at the existence of several mutually different visitor profiles. We conclude by arguing why Bluetooth tracking offers significant advantages for tracking mass event visitors with respect to other and more prominent technologies, and outline some of its remaining deficiencies.
► Bluetooth tracking is employed for studying spatiotemporal dynamics of a mass event. ► The trajectories of 80,828 visitors were analysed over 10 days. ► The spatiotemporal variation of crowdedness, and visit (or) characteristics are shown. ► The used methodology offers significant advantages in the context of mass events.</description><subject>Bluetooth</subject><subject>Dynamic tests</subject><subject>Dynamics</subject><subject>Geographical information systems</subject><subject>Geographical information technology</subject><subject>Mass event</subject><subject>Methodology</subject><subject>Movement</subject><subject>Statistics</subject><subject>Tracking</subject><issn>0143-6228</issn><issn>1873-7730</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNp9kUFv1DAQhS0EEkvhH3DwDS4JM0kcJxyQSkULUiUu5Wx5nfGuV0kcbGelvfaX42g59_Rs6XtvNPMY-4hQImD75VTq5UD-UFaAWIIos7xiO-xkXUhZw2u2A2zqoq2q7i17F-MJABohcMeen47E10jcW_59XCl5n47c-sD1rMdLdPOBx0Un5xNNiw965MNl1pMzcbMc10nPfPJnmmhOXCc-6Rg5nfMvfuW33OicHdM6XDY85WEPx428p5jc2SVH8T17Y_UY6cN_vWF_7n883f0sHn8__Lq7fSxMgzIVtt2D6Dq0KCoQdYNoAav9XgrbWqGttNR1bd62NrrvAfPLDthqMUgzUF3VN-zTNXcJ_u-a56vJRUPjqGfya1Q99n3V5Jtl8vOLJEoJNXQSMKPNFTXBxxjIqiW4SYeLQlBbOeqkruWorRwFQmXJtm9XG-WFz46CisbRbGhwgUxSg3cvB_wDHEWazw</recordid><startdate>20120301</startdate><enddate>20120301</enddate><creator>Versichele, Mathias</creator><creator>Neutens, Tijs</creator><creator>Delafontaine, Matthias</creator><creator>Van de Weghe, Nico</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20120301</creationdate><title>The use of Bluetooth for analysing spatiotemporal dynamics of human movement at mass events: A case study of the Ghent Festivities</title><author>Versichele, Mathias ; Neutens, Tijs ; Delafontaine, Matthias ; Van de Weghe, Nico</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c417t-f6b05881f152053411f012bb75f6f5af7fe8867303ca9901730fd16a5d7cde323</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Bluetooth</topic><topic>Dynamic tests</topic><topic>Dynamics</topic><topic>Geographical information systems</topic><topic>Geographical information technology</topic><topic>Mass event</topic><topic>Methodology</topic><topic>Movement</topic><topic>Statistics</topic><topic>Tracking</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Versichele, Mathias</creatorcontrib><creatorcontrib>Neutens, Tijs</creatorcontrib><creatorcontrib>Delafontaine, Matthias</creatorcontrib><creatorcontrib>Van de Weghe, Nico</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Applied geography (Sevenoaks)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Versichele, Mathias</au><au>Neutens, Tijs</au><au>Delafontaine, Matthias</au><au>Van de Weghe, Nico</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The use of Bluetooth for analysing spatiotemporal dynamics of human movement at mass events: A case study of the Ghent Festivities</atitle><jtitle>Applied geography (Sevenoaks)</jtitle><date>2012-03-01</date><risdate>2012</risdate><volume>32</volume><issue>2</issue><spage>208</spage><epage>220</epage><pages>208-220</pages><issn>0143-6228</issn><eissn>1873-7730</eissn><abstract>In this paper, proximity-based Bluetooth tracking is postulated as an efficient and effective methodology for analysing the complex spatiotemporal dynamics of visitor movements at mass events. A case study of the Ghent Festivities event (1.5 million visitors over 10 days) is described in detail and preliminary results are shown to give an indication of the added value of the methodology for stakeholders of the event. By covering 22 locations in the study area with Bluetooth scanners, we were able to extract 152,487 trajectories generated by 80,828 detected visitors. Apart from generating clear statistics such as visitor counts, the share of returning visitors, and visitor flow maps, the analyses also reveal the complex nature of this event by hinting at the existence of several mutually different visitor profiles. We conclude by arguing why Bluetooth tracking offers significant advantages for tracking mass event visitors with respect to other and more prominent technologies, and outline some of its remaining deficiencies.
► Bluetooth tracking is employed for studying spatiotemporal dynamics of a mass event. ► The trajectories of 80,828 visitors were analysed over 10 days. ► The spatiotemporal variation of crowdedness, and visit (or) characteristics are shown. ► The used methodology offers significant advantages in the context of mass events.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.apgeog.2011.05.011</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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source | ScienceDirect Journals (5 years ago - present) |
subjects | Bluetooth Dynamic tests Dynamics Geographical information systems Geographical information technology Mass event Methodology Movement Statistics Tracking |
title | The use of Bluetooth for analysing spatiotemporal dynamics of human movement at mass events: A case study of the Ghent Festivities |
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