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dc.contributor.authorMerkebe Getachew Demissieen_US
dc.contributor.authorFrancisco Antunesen_US
dc.contributor.authorCarlos Bentoen_US
dc.contributor.authorSanti Phithakkitnukoonen_US
dc.contributor.authorTitipat Sukhvibulen_US
dc.description.abstract© 2016 IEEE. In transportation planning, estimating the movement of people between a set of origins and destinations is a challenging task. This has been inferred in two way: from data on household socioeconomic attributes in each study zone or based on the characteristics of the study zones such as population, employment, number of cars, etc. However, developing these models can be difficult, especially in the developing countries where transport planners have limited budget to collect detailed transportation data. In this study, we use mobile phone data to estimate the origin-destination (OD) flows between districts of Senegal. We have developed two approaches to estimate commuting trips, recurring travel between one's place of residence and place of work, and irregular trips, which are not recurring, but found to be predominant in developing countries. The inferred OD flows from sample users are expanded using the total population from census data. The results demonstrate how mobile phone data can be used to sense movement of large portion of population more regularly and with reduced cost, especially, in circumstances where relevant data are unavailable or in poor supply.en_US
dc.subjectComputer Scienceen_US
dc.titleInferring origin-destination flows using mobile phone data: A case study of Senegalen_US
dc.typeConference Proceedingen_US
article.title.sourcetitle2016 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2016en_US of Coimbra, Centre for Informatics and Systemen_US Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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