An assessment of mobile network big data-based insights for transport planning in Sri Lanka

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dc.contributor.authorMaldeniya, MKDT
dc.contributor.authorLokanathan, S
dc.contributor.authorKumarage, AS
dc.contributor.editorGunaruwan, TL
dc.date.accessioned2022-04-25T07:00:50Z
dc.date.available2022-04-25T07:00:50Z
dc.date.issued2016-06
dc.descriptionWith increasing urbanisation and the accompanying trends in human mobility and traffic patterns, Sri Lanka is entering an era that demands greater flexibility and responsiveness from the local transport planning apparatus. The recent global data revolution has seen large transaction-generated datasets being leveraged to understand large-scale patterns in human behaviour. Transaction-generated mobile phone network data is one of the few forms of data with sufficient coverage of the population of Sri Lanka that provides an opportunity to apply similar techniques. The paper assesses the potential of this data for delivering insights that can enhance the traditional transport planning process in Sri Lanka through a series of analyses that quantifies and interprets human movement in urban regions.en_US
dc.identifier.citationMaldeniya, M.K.D.T., Lokanathan, S., & Kumarage, A.S. (2016). An assessment of mobile network big data-based insights for transport planning in Sri Lanka [Extended Abstract]. In T.L. Gunaruwan (Ed.), Proceedings of 1st International Conference on Research for Transport and Logistics Industry 2016 (pp. 21-23). Sri Lanka Society of Transport and Logistics. https://slstl.lk/r4tli-2016/en_US
dc.identifier.conference1st International Conference on Research for Transport and Logistics Industry 2016en_US
dc.identifier.departmentDepartment of Transport and Logistics Managementen_US
dc.identifier.emailamalk@uom.lken_US
dc.identifier.facultyEngineeringen_US
dc.identifier.pgnospp. 21-23en_US
dc.identifier.placeColomboen_US
dc.identifier.proceedingProceedings of 1st Conference on Research for Transport and Logistics Industry 2016en_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/17689
dc.identifier.year2016en_US
dc.language.isoenen_US
dc.publisherSri Lanka Society for Transport and Logisticsen_US
dc.relation.urihttps://slstl.lk/r4tli-2016/en_US
dc.subjectUrban transport planningen_US
dc.subjectBig dataen_US
dc.subjectCall detail recorden_US
dc.titleAn assessment of mobile network big data-based insights for transport planning in Sri Lankaen_US
dc.typeConference-Extended-Abstracten_US

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