Journal
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
Volume 9, Issue 8, Pages 551-564Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/15568318.2013.826312
Keywords
gravity model; location-based social networking; origin-destination estimation
Funding
- National Key Basic Research Development Program of China [2012CB725405]
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The development of sustainable mobility solutions calls for significant advances in travel demand data collection beyond the long-term static planning data usually available at planning agencies. This paper proposes a combined clustering, regression, and gravity model to estimate an origin-destination (OD) matrix for non-commuting trips based on Foursquare user check-in data in the Chicago urban area. The estimated OD matrix is found to be similar to the ground-truth OD matrix obtained from CMAP (Chicago Metropolitan Agency for Planning). The potential applications for generating day-of-the-week and dynamic bihourly OD patterns from Foursquare data are also illustrated.
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