Intelligent Information System for Philippine Public Transport – A Big Data Framework for Urban Transportation Development
Keywords:
Big data, framework development, intelligent information system, public transportation.Abstract
The main objective of the study was to unravel the
answer on the following exploratory questions: (1) the benefit of having an Intelligent Information System for Philippine Public Transport (IISPPT) as perceived by the respondents; (2) the essential features of IISPPT as perceived by the respondents; (3) the essential inferential information of IISPPT that should be
rendered by the system; and (4) the effective framework to establish it. In undertaking this study, the exploratory method of research was employed. An extensive review of literature and studies related to the subject matter of this research combined with the inputs of the 400 respondents were the principal sources of inference used in developing the appropriate framework for IISPPT. The respondents of this research were primarily qualified by the characteristics that they are persons
who have used or are currently using the public transport facilities in the Philippines regardless of type and frequency. Based on the findings, the following conclusions were derived: (1)The IISPPT shows a valid need to be implemented; (2) It can hold a lot of possible features and that the implementation of this solution should prioritize the launch of the ability to send
alerts on public transport service interruption and advisories; (3) It can give a lot of possible inferential information and that the travel duration is currently what tops the need of the travelers; (4) The framework developed by the researcher is the most suited way considering all the factors relevant to the overall architecture.
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