Josep Maria Salanova Grau, I. Toumpalidis, Emmanouil Chaniotakis, N. Karanikolas, Georgia Aifandopoulou
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引用次数: 4
Abstract
Abstract This study investigates the use of geo-referenced social media data for enhancing the transportation planning capabilities. A methodological framework is defined for the identification of the citizens’ mobility patterns using social media data, which consists of a number of check-in events that are made through the Facebook service and 1200 taxis’ floating car data for the city of Thessaloniki, during the period of February of 2016. Focus is paid on the derivation of taxi demand forecasting models using the number of check-in events through spatial statistic and analytical tools. The results illustrate the actual correlation of demand for taxis to the check-in events, while it is noted that models should take into account the temporal and spatial offset of the demand production to the check-in events. The results show that the correlation is better during the evening and night hours, since during the morning and afternoon most tips are homework based and people does not check-in at their place of work or at home.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.