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Methodological Approach for the Definition of Urban Tourist Patterns Through Data Mining

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Advances in Tourism, Technology and Systems

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 345))

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Abstract

Electronic fare payment systems have gained much popularity around the world. These systems adopt a convenient and almost instantaneous payment process for public transport while also gathering data regarding onboard transactions in public transport. Much information about public transport passengers can be extracted, such as travel patterns, activities performed, and travel behavior. Despite the continuous growth of studies regarding these systems, there is still a lack of research to understand occasional passengers’ movement, such as tourists. This work presents the state of the art in these areas and presents a proposal to explore AFC data to understand the mobility profiles of tourists. This manuscript represents an advance in the literature and opens doors to the definition of policies to promote less visited places and mobility services adapted to tourists’ needs, resulting in a positive impact on the city’s economy and the overall enjoyment of the city for tourists.

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Acknowledgements

This work is financed by Portuguese national funds through FCT—Fundação para a Ciência e Tecnologia, under the project UIDB/05422/2020.

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Authors and Affiliations

  1. Capgemini, Porto, Portugal

    João Manuel Gonçalves

  2. Faculdade de Engenharia, Universidade Do Porto, Porto, Portugal

    Marta Campos Ferreira & Teresa Galvão Dias

  3. CEOS.P, Porto Accounting and Business School, Polytechnic of Porto, Porto, Portugal

    Maria José Angélico Gonçalves

Authors
  1. João Manuel Gonçalves
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  2. Marta Campos Ferreira
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  3. Teresa Galvão Dias
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  4. Maria José Angélico Gonçalves
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Corresponding author

Correspondence to Maria José Angélico Gonçalves .

Editor information

Editors and Affiliations

  1. Porto Accounting and Business School, Polytechnic Institute of Porto, São Mamede de Infesta, Portugal

    João Vidal Carvalho

  2. Inst. of Acct. & Admin.of Porto (ISCAP), Polytechnic Institute of Porto, S. Mamede de Infesta, Portugal

    António Abreu

  3. School of Hospitality and Tourism, Polytechnic Institute of Porto, Vila do Conde, Portugal

    Pedro Liberato

  4. Department of Accounting, School of Management, EAFIT University, Medellín, Colombia

    Alejandro Peña

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Gonçalves, J.M., Ferreira, M.C., Dias, T.G., Gonçalves, M.J.A. (2023). Methodological Approach for the Definition of Urban Tourist Patterns Through Data Mining. In: Carvalho, J.V., Abreu, A., Liberato, P., Peña, A. (eds) Advances in Tourism, Technology and Systems. Smart Innovation, Systems and Technologies, vol 345. Springer, Singapore. https://doi.org/10.1007/978-981-99-0337-5_46

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