Expansion of Lisbon’s Docked Bike-Sharing System: Spatial and Temporal Analysis of Bike-Sharing Use in Lisbon for System Expansion

Bibliographic Details
Main Author: Garcia, Eva Frade
Publication Date: 2024
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/174588
Summary: Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Risk Analysis and Management
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network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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spelling Expansion of Lisbon’s Docked Bike-Sharing System: Spatial and Temporal Analysis of Bike-Sharing Use in Lisbon for System ExpansionBusiness IntelligenceGeographic Information SystemsSpatial AnalysisBike-Sharing SystemsSustainable MobilitySDG 3 - Good health and well-beingSDG 9 - Industry, innovation and infrastructureSDG 11 - Sustainable cities and communitiesSDG 13 - Climate actionDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da InformaçãoDissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Risk Analysis and ManagementThe implementation and utilization of bike-sharing systems represents a sustainable alternative for city residents and visitors in the urban environment. This study uses the case of Lisbon's Docked Bike-Sharing System, GIRA, to analyse and construct a possible expansion of the system. Data was collected on daily usage patterns, trip characteristics, bike detections, GIRA dock occupancy, existing public transportation, bicycle lanes, and points of interest in the city. Geographic Information Systems were then used for spatial analysis of bike-sharing station locations. Their integration with the factors previously mentioned incorporated in a weighed Multi-Criteria Decision-Making approach, allowed the development of a suitability map for new station locations. The research then employed a Business Intelligence approach, building a dimensional model with the data gathered, and carrying out a quantitative analysis relying on data visualization in a final dashboard. The results of this research include an indepth understanding of bike sharing in Lisbon, including usage patterns, and integration with existing transportation networks and points of interest. Through the results of the spatial analysis, 18 new stations were proposed around Lisbon for system improvement.Neto, Miguel de Castro Simões FerreiraJardim, João Bruno Morais de SousaRUNGarcia, Eva Frade2024-11-05T11:59:41Z2024-10-282024-10-28T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/174588TID:203776240enginfo: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:RCAAP2025-01-13T01:41:15Zoai:run.unl.pt:10362/174588Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T19:12:51.688155Repositórios 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 Expansion of Lisbon’s Docked Bike-Sharing System: Spatial and Temporal Analysis of Bike-Sharing Use in Lisbon for System Expansion
title Expansion of Lisbon’s Docked Bike-Sharing System: Spatial and Temporal Analysis of Bike-Sharing Use in Lisbon for System Expansion
spellingShingle Expansion of Lisbon’s Docked Bike-Sharing System: Spatial and Temporal Analysis of Bike-Sharing Use in Lisbon for System Expansion
Garcia, Eva Frade
Business Intelligence
Geographic Information Systems
Spatial Analysis
Bike-Sharing Systems
Sustainable Mobility
SDG 3 - Good health and well-being
SDG 9 - Industry, innovation and infrastructure
SDG 11 - Sustainable cities and communities
SDG 13 - Climate action
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
title_short Expansion of Lisbon’s Docked Bike-Sharing System: Spatial and Temporal Analysis of Bike-Sharing Use in Lisbon for System Expansion
title_full Expansion of Lisbon’s Docked Bike-Sharing System: Spatial and Temporal Analysis of Bike-Sharing Use in Lisbon for System Expansion
title_fullStr Expansion of Lisbon’s Docked Bike-Sharing System: Spatial and Temporal Analysis of Bike-Sharing Use in Lisbon for System Expansion
title_full_unstemmed Expansion of Lisbon’s Docked Bike-Sharing System: Spatial and Temporal Analysis of Bike-Sharing Use in Lisbon for System Expansion
title_sort Expansion of Lisbon’s Docked Bike-Sharing System: Spatial and Temporal Analysis of Bike-Sharing Use in Lisbon for System Expansion
author Garcia, Eva Frade
author_facet Garcia, Eva Frade
author_role author
dc.contributor.none.fl_str_mv Neto, Miguel de Castro Simões Ferreira
Jardim, João Bruno Morais de Sousa
RUN
dc.contributor.author.fl_str_mv Garcia, Eva Frade
dc.subject.por.fl_str_mv Business Intelligence
Geographic Information Systems
Spatial Analysis
Bike-Sharing Systems
Sustainable Mobility
SDG 3 - Good health and well-being
SDG 9 - Industry, innovation and infrastructure
SDG 11 - Sustainable cities and communities
SDG 13 - Climate action
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
topic Business Intelligence
Geographic Information Systems
Spatial Analysis
Bike-Sharing Systems
Sustainable Mobility
SDG 3 - Good health and well-being
SDG 9 - Industry, innovation and infrastructure
SDG 11 - Sustainable cities and communities
SDG 13 - Climate action
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
description Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Risk Analysis and Management
publishDate 2024
dc.date.none.fl_str_mv 2024-11-05T11:59:41Z
2024-10-28
2024-10-28T00:00:00Z
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/10362/174588
TID:203776240
url http://hdl.handle.net/10362/174588
identifier_str_mv TID:203776240
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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