Profiling Sri Lankan cyclists using cluster analysis

dc.contributor.authorJayasena, P.
dc.contributor.authorSamarasekara, G.N.
dc.contributor.authorUdayanga, S.
dc.contributor.authorKankanamge, C.E.
dc.contributor.editorGunaruwan, T. L.
dc.date.accessioned2025-01-31T04:07:52Z
dc.date.available2025-01-31T04:07:52Z
dc.date.issued2024
dc.description.abstractCycling is recognized as a sustainable and healthy mode of transportation. Cycling has been declining over the years in Sri Lanka. Understanding the cycling behaviours is important to encourage cycling. This study analyzes information regarding cyclists, which are purposes of cycling, frequency of cycling for the particular purpose and the approximate cycling distance per trip. The results obtained from the Two-Step Cluster method resulted in two clusters leading to two cyclists’ profiles. The largest cluster is shopping oriented, which consists of individuals using cycling on several days a week for shopping purposes and also recreation and getting to or from public transport stops purposes mostly. The smallest cluster consists of commuter cyclists who are daily cycling users for the purposes of getting to and from school/ university and work. The findings can be informed to transportation authorities in developing interventions and enhance cycling infrastructure, focusing the obtained cycling profiles to promote sustainable transportation systems in Sri Lanka.en_US
dc.identifier.conferenceResearch for Transport and Logistics Industry Proceedings of the 9th International Conferenceen_US
dc.identifier.departmentDepartment of Town & Country Planningen_US
dc.identifier.departmentDepartment of Transport Management & Logistics Engineeringen_US
dc.identifier.emailpiumiisharajayasena@gmail.comen_US
dc.identifier.emailgangas@sjp.ac.lken_US
dc.identifier.emailsajith@wyb.ac.lken_US
dc.identifier.emailellawala@cee.ruh.ac.lk
dc.identifier.facultyEngineeringen_US
dc.identifier.issn2513-2504
dc.identifier.pgnospp. 90-92en_US
dc.identifier.placeColombo, Sri Lankaen_US
dc.identifier.proceedingProceedings of the International Conference on Research for Transport and Logistics Industryen_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/23325
dc.identifier.year2024en_US
dc.language.isoenen_US
dc.publisherSri Lanka Society of Transport and Logisticsen_US
dc.subjectCyclingen_US
dc.subjectBehaviouren_US
dc.subjectPerception;en_US
dc.subjectProfiles;en_US
dc.subjectSri Lanka.en_US
dc.titleProfiling Sri Lankan cyclists using cluster analysisen_US
dc.typeConference-Full-texten_US

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