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dc.contributor.authorAjayi, Olasupo O
dc.contributor.authorBagula, Antoine B
dc.contributor.authorMaluleke, Hloniphani C
dc.contributor.authorOdun-Ayo, Isaac A
dc.date.accessioned2022-01-17T08:27:20Z
dc.date.available2022-01-17T08:27:20Z
dc.date.issued2021
dc.identifier.citationAjayi, O.O.; Bagula, A.B.; Maluleke, H.C.; Odun-Ayo, I.A. Transport Inequalities and the Adoption of Intelligent Transportation Systems in Africa: A Research Landscape. Sustainability 2021, 13, 12891. https://doi.org/ 10.3390/su132212891en_US
dc.identifier.urihttps://doi.org/ 10.3390/su132212891
dc.identifier.urihttp://hdl.handle.net/10566/7096
dc.description.abstractIntelligent Transportation Systems (ITS), also known as Smart Transportation, is an infusion of information and communication technologies into transportation. ITS are a key component of smart cities, which have seen rapid global development in the last few decades. This has in turn translated to an increase in the deployment and adoption of ITS, particularly in countries in the Western world. Unfortunately, this is not the case with the developing countries of Africa and Asia, where dilapidated road infrastructure, poorly maintained public/mass transit vehicles and poverty are major concerns. However, the impact of Westernization and “imported technologies” cannot be overlooked; thus, despite the aforementioned challenges, ITS have found their way into African cities. In this paper, a systematic review was performed to determine the state of the art of ITS in Africa. The output of this systematic review was then fed into a hybrid multi-criteria model to analyse the research landscape, identify connections between published works and reveal research gaps and inequalities in African ITS. African peculiarities inhibiting the widespread implementation of ITS were then discussed, followed by the development of a conceptual architecture for an integrated ITS for African citiesen_US
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.subjectAfrican transportationen_US
dc.subjectAHPen_US
dc.subjectSmart transportationen_US
dc.subjectBig dataen_US
dc.subjectTechnologiesen_US
dc.titleEpidemiological comparison of the first and second waves of the COVID-19 pandemic in Nigeria, February 2020-April 2021en_US
dc.typeArticleen_US


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