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Kristóf Gyódi

Biographic Data

ID4416737
NAMEKristóf Gyódi
GIVEN NAMESKristóf
FAMILY NAMEGyódi
SIGNATUREGYÓDI K
AFFILIATIONSUniversity of Warsaw
ORCID0000-0003-2999-8444
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS13
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2025
H-INDEX2
  • Barcelona as a case study for the effectiveness of short-term rental market regulations

    Open Access•Kristóf Gyódi, Joanna Mazur et al.•ARTICLE•Cities•2025•Cited by: 5•References: 2

  • The spatial patterns of Airbnb offers, hotels and attractions

    Open Access•Kristóf Gyódi•ARTICLE•Current Issues in Tourism•2024

    Airbnb has created a significant incentive to invest in real-estate with the purpose of short-term accommodation provision in touristic cities. The robust growth of Airbnb supply has been accompanied with an increasing professionalization of the platform, contributing to such challenges as overtourism and gentrification. The main aim of this analysis is to examine the spatial characteristics of Airbnb supply in Barcelona, Berlin and London, focus…

  • Informing policy with text mining

    Open Access•Kristóf Gyódi, Łukasz Nawaro et al.•ARTICLE•Quality & Quantity•2023

    This study presents an innovative text mining methodology that supports policy analysts with problem recognition, definition and selection. The empirical analysis is based on four years of online news articles published in the period 2016–2019. Using a combination of text mining methods (analysis of term-frequencies, co-occurrence and sentiment analysis), we identify trending terms and explore selected regulatory issues. The analysis demonstrates…

  • Determinants of Airbnb prices in European cities

    Open Access•Kristóf Gyódi, Łukasz Nawaro•ARTICLE•Tourism Management•2021•Cited by: 8•References: 29

    We examine the determinants of Airbnb prices in 10 major EU cities, focusing on the role of location. The results confirm that attributes related to size, quality, and location are all significant drivers of Airbnb rates. Novel indices based on TripAdvisor data are used to measure the attractiveness of neighbourhoods, and the results show a more robust impact on price than standard location variables based on selected points of interest. The anal…

  • Determinants of Airbnb prices in European cities

    Open Access•Kristóf Gyódi, Łukasz Nawaro•ARTICLE•Tourism Management•2021•Cited by: 8•References: 29

    We examine the determinants of Airbnb prices in 10 major EU cities, focusing on the role of location. The results confirm that attributes related to size, quality, and location are all significant drivers of Airbnb rates. Novel indices based on TripAdvisor data are used to measure the attractiveness of neighbourhoods, and the results show a more robust impact on price than standard location variables based on selected points of interest. The anal…

  • Barcelona as a case study for the effectiveness of short-term rental market regulations

    Open Access•Kristóf Gyódi, Joanna Mazur et al.•ARTICLE•Cities•2025•Cited by: 5•References: 2

  • Determinants of Airbnb prices in European cities

    Open Access•Kristóf Gyódi, Łukasz Nawaro•ARTICLE•Tourism Management•2021•Cited by: 8•References: 29

    We examine the determinants of Airbnb prices in 10 major EU cities, focusing on the role of location. The results confirm that attributes related to size, quality, and location are all significant drivers of Airbnb rates. Novel indices based on TripAdvisor data are used to measure the attractiveness of neighbourhoods, and the results show a more robust impact on price than standard location variables based on selected points of interest. The anal…

  • Informing policy with text mining

    Open Access•Kristóf Gyódi, Łukasz Nawaro et al.•ARTICLE•Quality & Quantity•2023

    This study presents an innovative text mining methodology that supports policy analysts with problem recognition, definition and selection. The empirical analysis is based on four years of online news articles published in the period 2016–2019. Using a combination of text mining methods (analysis of term-frequencies, co-occurrence and sentiment analysis), we identify trending terms and explore selected regulatory issues. The analysis demonstrates…

  • The spatial patterns of Airbnb offers, hotels and attractions

    Open Access•Kristóf Gyódi•ARTICLE•Current Issues in Tourism•2024

    Airbnb has created a significant incentive to invest in real-estate with the purpose of short-term accommodation provision in touristic cities. The robust growth of Airbnb supply has been accompanied with an increasing professionalization of the platform, contributing to such challenges as overtourism and gentrification. The main aim of this analysis is to examine the spatial characteristics of Airbnb supply in Barcelona, Berlin and London, focus…

  • Barcelona as a case study for the effectiveness of short-term rental market regulations

    Open Access•Kristóf Gyódi, Joanna Mazur et al.•ARTICLE•Cities•2025•Cited by: 5•References: 2

Sharing Economy and Platforms (3 works) · Transportation and Mobility Innovations (3 works) · Business (2 works) · Economics (2 works) · Political science (2 works) · Accommodation (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Attractiveness (1 works) · Computational and Text Analysis Methods (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae