Show simple item record

dc.contributor.authorGeorgiev, Petkoen
dc.contributor.authorNoulas, Anastasiosen
dc.contributor.authorMascolo, Ceciliaen
dc.date.accessioned2014-09-03T08:27:32Z
dc.date.available2014-09-03T08:27:32Z
dc.date.issued2014-05-16en
dc.identifier.citationEighth International AAAI Conference on Weblogs and Social Media, 2014.en
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/245856
dc.description.abstractThe Olympic Games are an important sporting event with notable consequences for the general economic landscape of the host city. Traditional economic assessments focus on the aggregated impact of the event on the national income, but fail to provide micro-scale insights on why local businesses will benefit from the increased activity during the Games.In this paper we provide a novel approach to modeling the impact of the Olympic Games on local retailers by analyzing a dataset mined from a large location-based social service, Foursquare. We hypothesize that the spatial positioning of businesses as well as the mobility trends of visitors are primary indicators of whether retailers will rise their popularity during the event. To confirm this we formulate a retail winners prediction task in the context of which we evaluate a set of geographic and mobility metrics. We find that the proximity to stadiums, the diversity of activity in the neighborhood, the nearby area sociability, as well as the probability of customer flows from and to event places such as stadiums and parks are all vital factors. Through supervised learning techniques we demonstrate that the success of businesses hinges on a combination of both geographic and mobility factors. Our results suggest that location-based social networks, where crowdsourced information about the dynamic interaction of users with urban spaces becomes publicly available, present an alternative medium to assess the economic impact of large scale events in a city.
dc.description.sponsorshipWe acknowledge the support of Microsoft Research and EPSRC through grant GALE (EP/K019392).
dc.languageEnglishen
dc.language.isoenen
dc.publisherAAAI
dc.titleWhere Businesses Thrive: Predicting the Impact of the Olympic Games on Local Retailers through Location-based Services Dataen
dc.typeArticle
dc.description.versionThis is the published version. It is also available from AAAI at http://www.aaai.org/ocs/index.php/ICWSM/ICWSM14/paper/view/8071. Copyright © 2014, Association for the Advancement of Artificial Intelligence ( www.aaai.org ). All rights reserved.en
prism.publicationDate2014en
prism.publicationNameEighth International AAAI Conference on Weblogs and Social Media (2014)en
dc.rioxxterms.funderEPSRC
dc.rioxxterms.projectidEP/K019392
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2014-05-16en
dc.contributor.orcidMascolo, Cecilia [0000-0001-9614-4380]
rioxxterms.typeJournal Article/Reviewen
pubs.funder-project-idEPSRC (EP/K019392/1)
dc.identifier.urlhttp://www.aaai.org/ocs/index.php/ICWSM/ICWSM14/paper/view/8071en


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record