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Ofertas Turísticas em Lisboa e Porto: uma análise comparativa
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Resumo(s)
No contexto da crescente importância do turismo para a economia portuguesa, é essencial
compreender como as principais cidades do país se posicionam em termos de oferta turística,
transporte público e mobilidade suave. O presente trabalho realiza uma análise comparativa
entre Lisboa e Porto focada no equilíbrio entre alojamentos, restaurantes, atrações turísticas
e infraestruturas urbanas de suporte. O objetivo é fornecer uma visão clara, destacando os
pontos fortes e as áreas que necessitam de intervenção.
É proposto um Coeficiente Integrado de Turismo e Dinâmica Urbana, que integra dados sobre
a qualidade e quantidade de alojamentos, restaurantes e atrações turísticas, juntamente com
dados sobre transporte público e mobilidade suave. Os dados foram obtidos de fontes
públicas e processados com recurso a inteligência artificial assente em algoritmos de machine
learning, considerando uma ponderação aderente à realidade observada nas duas cidades.
O estudo reforça que a competitividade turística não depende apenas da quantidade de
atrações, mas também da eficácia das infraestruturas que apoiam o turismo. Consolidar estes
dados e disponibilizá-los de forma acessível permitirá não só orientar decisões de viagem, mas
também apoiar políticas públicas que promovam um turismo mais sustentável e inclusivo.
In the context of the growing importance of tourism for the portuguese economy, it is essential to understand how the country's main cities are positioned in terms of tourism offer, public transport and soft mobility. and urban infrastructure. This paper carries out a comparative analysis between Lisbon and Porto, focusing on the balance between accommodation, restaurants, tourist attractions and supporting urban infrastructure. The aim is to provide a clear overview, highlighting the strengths and areas that are relevant for intervention. The proposed Integrated Coefficient of Tourism and Urban Dynamics integrates data on the quality and quantity of accommodation, restaurants and tourist attractions, together with data on public transport and soft mobility. The data were obtained from public sources and processed using artificial intelligence based on machine learning algorithms, considering a weighting that adheres to the reality observed in both cities. The study reinforces that tourism competitiveness does not depend only on the quantity of attractions, but also on the effectiveness of the infrastructures that support tourism. Consolidating this data and making it available in an accessible way will not only guide travel decisions, but also support public policies that promote more sustainable and inclusive tourism.
In the context of the growing importance of tourism for the portuguese economy, it is essential to understand how the country's main cities are positioned in terms of tourism offer, public transport and soft mobility. and urban infrastructure. This paper carries out a comparative analysis between Lisbon and Porto, focusing on the balance between accommodation, restaurants, tourist attractions and supporting urban infrastructure. The aim is to provide a clear overview, highlighting the strengths and areas that are relevant for intervention. The proposed Integrated Coefficient of Tourism and Urban Dynamics integrates data on the quality and quantity of accommodation, restaurants and tourist attractions, together with data on public transport and soft mobility. The data were obtained from public sources and processed using artificial intelligence based on machine learning algorithms, considering a weighting that adheres to the reality observed in both cities. The study reinforces that tourism competitiveness does not depend only on the quantity of attractions, but also on the effectiveness of the infrastructures that support tourism. Consolidating this data and making it available in an accessible way will not only guide travel decisions, but also support public policies that promote more sustainable and inclusive tourism.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
Palavras-chave
Lisboa Porto Competitividade Turística Dinâmica Urbana Machine Learning Tourism Competitiveness Urban Dynamics SDG 8 - Trabalho decente e crescimento economico SDG 11 - Cidades e comunidades sustentáveis