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Titel:

Improving Destination Choice Modeling Using Location-Based Big Data

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
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...     »
Stichworte:
destination choice; multinomial logit; MNL; Foursquare; big data; location based social networks
Zeitschriftentitel:
ISPRS Int. J. Geo-Inf. 6(9), 291 2017-09
Jahr:
2017
Band / Volume:
6
Jahr / Monat:
2017-09
Quartal:
3. Quartal
Monat:
Sep
Heft / Issue:
9
Seitenangaben Beitrag:
291
Sprache:
en
Volltext / DOI:
doi:10.3390/ijgi6090291
WWW:
https://www.mdpi.com/2220-9964/6/9/291
Verlag / Institution:
MDPI AG
E-ISSN:
2220-9964
Publikationsdatum:
20.09.2017
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