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Mobility analytics: plan and improve public transportation services though a business intelligence model and dashboards

Bibliographic Details
Main Author: Barnabé, Fábio Ruben Ferreira
Publication Date: 2020
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/104278
Summary: Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
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spelling Mobility analytics: plan and improve public transportation services though a business intelligence model and dashboardsBusiness IntelligenceData WarehouseDashboardSmart CitiesSmart MobilityIntelligent Transportation System (ITS)Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceIntelligent traffic planning, the promotion of public transport and the improved interconnectedness of all road users in a city-wide communication infrastructure comprise the mobility characteristics of a smart city. Living in an era of Smart Cities emerging, we can make use of all the data available nowadays to better serve our lives with the best services. All the data generated every day by the Vehicles can be used to get a better insights to improve the quality of the available service as the creation of new routes, increase supervision on problematic areas, among others. This document intends to detail the project carried out at Carris, a public transportation company which operates Lisbon's buses, trams, and funiculars. The master thesis project aims to create a Business Intelligence solution to support planning decisions though the use of a Dashboard by presenting information about all relevant data collected on a bus daily route by the driver in order to get a better understating of a public transportation service and how can the organization improve them to rebuild schedules, create or eliminate routes, do some inspection on tickets validations inside the vehicles, etc. This project is supported by a Microsoft tool called Power BI that enables all the extraction, transformation and loading of data processes, based on an Azure SQL Data Warehouse based on Cloud services. The Business Dashboards are divided in 4 main areas inside the organization and will support Onboard Sales, Ticket validations, Route Planning and Onboard issues reported by the driver.Neto, Miguel de Castro Simões FerreiraRUNBarnabé, Fábio Ruben Ferreira2020-09-18T11:43:32Z2020-07-212020-07-21T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/104278TID:202519244enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T17:47:37Zoai:run.unl.pt:10362/104278Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:18:47.304768Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Mobility analytics: plan and improve public transportation services though a business intelligence model and dashboards
title Mobility analytics: plan and improve public transportation services though a business intelligence model and dashboards
spellingShingle Mobility analytics: plan and improve public transportation services though a business intelligence model and dashboards
Barnabé, Fábio Ruben Ferreira
Business Intelligence
Data Warehouse
Dashboard
Smart Cities
Smart Mobility
Intelligent Transportation System (ITS)
title_short Mobility analytics: plan and improve public transportation services though a business intelligence model and dashboards
title_full Mobility analytics: plan and improve public transportation services though a business intelligence model and dashboards
title_fullStr Mobility analytics: plan and improve public transportation services though a business intelligence model and dashboards
title_full_unstemmed Mobility analytics: plan and improve public transportation services though a business intelligence model and dashboards
title_sort Mobility analytics: plan and improve public transportation services though a business intelligence model and dashboards
author Barnabé, Fábio Ruben Ferreira
author_facet Barnabé, Fábio Ruben Ferreira
author_role author
dc.contributor.none.fl_str_mv Neto, Miguel de Castro Simões Ferreira
RUN
dc.contributor.author.fl_str_mv Barnabé, Fábio Ruben Ferreira
dc.subject.por.fl_str_mv Business Intelligence
Data Warehouse
Dashboard
Smart Cities
Smart Mobility
Intelligent Transportation System (ITS)
topic Business Intelligence
Data Warehouse
Dashboard
Smart Cities
Smart Mobility
Intelligent Transportation System (ITS)
description Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
publishDate 2020
dc.date.none.fl_str_mv 2020-09-18T11:43:32Z
2020-07-21
2020-07-21T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/104278
TID:202519244
url http://hdl.handle.net/10362/104278
identifier_str_mv TID:202519244
dc.language.iso.fl_str_mv eng
language eng
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instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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