Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMerkebe Getachew Demissieen_US
dc.contributor.authorSanti Phithakkitnukoonen_US
dc.contributor.authorTitipat Sukhvibulen_US
dc.contributor.authorFrancisco Antunesen_US
dc.contributor.authorRui Gomesen_US
dc.contributor.authorCarlos Bentoen_US
dc.description.abstract© 2000-2011 IEEE. A rise in population, along with urbanization, has been causing an increase in demand for urban transportation services in the sub-Saharan Africa countries. In these countries, mobility of people is mainly ensured by bus services and a large-scale informal public transport service, which is known as paratransit (e.g., car rapides in Senegal, Tro Tros in Ghana, taxis in Uganda and Ethiopia, and Matatus in Kenya). Transport demand estimation is a challenging task, particularly in developing countries, mainly due to its expensive and time-consuming data collection requirements. Without accurate demand estimation, it is difficult for transport operators to provide their services and make other important decisions. In this paper, we present a methodology to estimate passenger demand for public transport services using cell phone data. Significant origins and destinations of inhabitants are extracted and used to build origin-destination matrices that resemble travel demand. Based on the inferred travel demand, we are able to reasonably suggest strategic locations for public transport services such as paratransit and taxi stands, as well as new transit routes. The outcome of this study can be useful for the development of policies that can potentially help fulfill the mobility needs of city inhabitants.en_US
dc.subjectComputer Scienceen_US
dc.titleInferring Passenger Travel Demand to Improve Urban Mobility in Developing Countries Using Cell Phone Data: A Case Study of Senegalen_US
article.title.sourcetitleIEEE Transactions on Intelligent Transportation Systemsen_US
article.volume17en_US of Coimbra, Centre for Informatics and Systemen_US Mai Universityen_US de Coimbra, Faculdade de Ciencias e Tecnologiaen_US
Appears in Collections:CMUL: Journal Articles

Files in This Item:
There are no files associated with this item.

Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.