Does Daily Travel Pattern Disclose People’s Preference? Gan, Mingxin Gao, Ling Han, Yang 2017-12-28T00:35:18Z 2017-12-28T00:35:18Z 2018-01-03
dc.description.abstract Existing studies normally focus on extracting temporal or periodical patterns of people’s daily travel for location based services. However, people’s characteristics and preference are actually paid much more attention by business. Therefore, how to capture characteristics from their daily travel patterns, is an interesting question. In order to address the research question, we first develop two basic measures in terms of repetitiveness of travel and then two advanced measures, to capture people’s activity of daily travel, and the colorfulness of lifestyle, respectively. Incorporating historical trajectories, with real-time positions from a location-based social network (LBSN), i.e. Foursquare, we conduct statistical analysis for people’s travel patterns in US cities. Finally, we illustrate people’s profiles of travel patterns and lifestyles. Results show that people’s preference can be inferred from the developed activity and colorfulness measures. Those findings demonstrate that proposed measures are supposed to be effectively adopted for researchers on travel pattern analysis and preference analysis, and further give suggestions to individuals for location-based decision making.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2018.045
dc.identifier.isbn 978-0-9981331-1-9
dc.language.iso eng
dc.relation.ispartof Proceedings of the 51st Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject IT Enabled Collaboration for Development
dc.subject daily travel pattern,location-based social network,recurrence ratio,preference analysis,lifestyle
dc.title Does Daily Travel Pattern Disclose People’s Preference?
dc.type Conference Paper
dc.type.dcmi Text
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