Factors Influencing Continuous Data Collection for a Public Safety Crowdsourcing Smart City Project

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dc.contributor.authorBosha, Elizabeth
dc.date.accessioned2025-06-20T12:16:03Z
dc.date.available2025-06-20T12:16:03Z
dc.date.issued2015
dc.descriptionMasters Theses
dc.description.abstractMore than 50% of the world's population are now living in cities. The trend towards urbanisation has placed an enormous strain on the limited resources and services available to citizens in these cities. As more people live in cities, public safety issues also increase. These issues include crime, natural disasters and accidents. In order to effectively manage the limited resources as well as reduce the public safety issues in a city, the smart city approach can be implemented. A smart city makes use of technology to collect data from the citizens in order to make more efficient use of existing resources. This study focuses specifically on East London, South Africa, a developing country, and argues that currently there is no existing crowdsourcing system that can be used by the city to continuously collect public safety information from citizens for continuous data collection in order to improve public safety.
dc.identifier.citationBosha,E.(2015).Factors Influencing Continuous Data Collection for a Public Safety Crowdsourcing Smart City Project.Alice: University of Fort Hare
dc.identifier.urihttp://hdl.handle.net/20.500.11837/2894
dc.language.isoen
dc.publisherUniversity of Fort Hare
dc.relation.ispartofseriesN/A
dc.subjectSOCIAL SCIENCES::Statistics, computer and systems science::Informatics, computer and systems science::Computer and systems science
dc.titleFactors Influencing Continuous Data Collection for a Public Safety Crowdsourcing Smart City Project
dc.typeThesis

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