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

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Resumo:The 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.
Autores principais:Garcia, Eva Frade
Assunto: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
Ano:2024
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso aberto
Instituição associada:Universidade Nova de Lisboa
Idioma:inglês
Origem:Repositório Institucional da UNL
Descrição
Resumo:The 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.