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Title:

Improving Destination Choice Modeling Using Location-Based Big Data

Document type:
Zeitschriftenaufsatz
Author(s):
Molloy, Joseph; Moeckel, Rolf
Abstract:
Citizens are increasingly sharing their location and movements through “check-ins” on location based social networks (LBSNs). These services are collecting unprecedented amounts of big data that can be used to study how we travel and interact with our environment. This paper presents the development of a long distance destination choice model for Ontario, Canada, using data from Foursquare to model destination attractiveness. A methodology to collect and process historical check-in counts has be...     »
Keywords:
destination choice; multinomial logit; MNL; Foursquare; big data; location based social networks
Journal title:
ISPRS Int. J. Geo-Inf. 6(9), 291 2017-09
Year:
2017
Journal volume:
6
Year / month:
2017-09
Quarter:
3. Quartal
Month:
Sep
Journal issue:
9
Pages contribution:
291
Language:
en
Fulltext / DOI:
doi:10.3390/ijgi6090291
WWW:
https://www.mdpi.com/2220-9964/6/9/291
Publisher:
MDPI AG
E-ISSN:
2220-9964
Date of publication:
20.09.2017
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