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Spatial Distribution and Location Characteristics of Airbnb in Seoul, Korea
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Spatial Distribution and Location Characteristics of Airbnb in Seoul, Korea (2019)Spatial Distribution and Location Charact…Urban Transformations as an Indicator of Unsustainability in the P2P Mass Tourism Phenomenon: The Airbnb Case in Spain through Three Case Studies (2018)Urban Transformations as an I…Airbnb and the rent gap: Gentrification through the sharing economy (2018)Airbnb and the rent gap: Gent…When Tourists Move In: How Should Urban Planners Respond to Airbnb? (2017)When Tourists Move In: How Sh…The Rise of the Sharing Economy: Estimating the Impact of Airbnb on the Hotel Industry (2017)The Rise of the Sharing Econo…The eruption of Airbnb in tourist cities: Comparing spatial patterns of hotels and peer-to-peer accommodation in Barcelona (2017)The eruption of Airbnb in tou…Is home sharing driving up rents? Evidence from Airbnb in Boston (2017)Is home sharing driving up re…Who Benefits from the "Sharing" Economy of Airbnb? 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References

  • 2007Methods to account for spatial autocorrelation in the analysis of species distributional data: a review3,430 cited
  • 2017The Rise of the Sharing Economy: Estimating the Impact of Airbnb on the Hotel Industry2,374 cited
  • 2013Airbnb: disruptive innovation and the rise of an informal tourism accommodation sector1,853 cited
  • 2018Airbnb and the rent gap: Gentrification through the sharing economy888 cited
  • 2017The eruption of Airbnb in tourist cities: Comparing spatial patterns of hotels and peer-to-peer accommodation in Barcelona676 cited
  • 2017When Tourists Move In: How Should Urban Planners Respond to Airbnb?540 cited
  • 2017Is home sharing driving up rents? Evidence from Airbnb in Boston413 cited
  • 2016Who Benefits from the "Sharing" Economy of Airbnb?275 cited
  • 2011Estimating O–D travel time matrix by Google Maps API: implementation, advantages, and implications240 cited
  • 2011How do hotels choose their location? Evidence from hotels in Beijing197 cited
  • 2014The influence of neighborhood environment and household travel interactions on school travel behavior: an exploration using geographically-weighted models90 cited
  • 2018Urban Transformations as an Indicator of Unsustainability in the P2P Mass Tourism Phenomenon: The Airbnb Case in Spain through Three Case Studies88 cited

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  • 2022A global-scale analysis of the sharing economy model – an AirBnB case study

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35 cited
  • 2022Analyzing the influence of short-term rental platforms on housing affordability in global urban destination neighborhoods34 cited
  • 2022Spatial distribution of Airbnb and its influencing factors: A case study of Suzhou, China32 cited
  • 2023The spatial patterns of Airbnb offers, hotels and attractions: are professional hosts taking over cities?28 cited
  • 2020Understanding the Implementation of Airbnb in Urban Contexts: Towards a Categorization of European Cities23 cited
  • 2021Do the flipped impacts of hotels matter to the popularity of Airbnb?20 cited
  • 2021Characteristics and influencing factors of Airbnb spatial distribution in China’s rapid urbanization process: A case study of Nanjing18 cited
  • 2022The spatial distribution of Airbnb providers in Brussels: different drivers for different types of hosts?16 cited
  • 2023Inside Airbnb titles: The location choices of listings from Chinese hosts' advertising expressions13 cited
  • 2024Built environment and airbnb spatial distribution in Hong Kong: A case study considering the spatial heterogeneity and multiscale effects12 cited
  • 2021An analysis of the distribution and price determinants of Airbnb rentals in Malta11 cited
  • 2021The impact of Instagram on Airbnb’s listing prices in the city of Barcelona11 cited
  • 2024Does Airbnb raise local rent in Seoul? Spatial 2SLS model approach9 cited
  • 2023Unveiling the Socio-Economic Fragility of a Major Urban Touristic Destination through Open Data and Airbnb Data: The Case Study of Bologna, Italy9 cited