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September 10, 2025

Geospatial Analysis of Airbnb Data: Understanding Distribution Patterns, User Satisfaction, and Economic Impacts in Major Global Cities

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Authors

EDEriksena DinajEMEgla MansiEpoka UniversityNFNerajda FeruniAlbanian University

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Implication

Mixed-method approach uncovers factors influencing user satisfaction and economic impacts in urban areas.

Key Points

  • Airbnb listings cluster around central urban areas, enhancing user satisfaction due to improved amenities and host interaction.
  • Findings show that amenities significantly influence user satisfaction, leading to increased economic impacts in local housing markets.
  • Quantitative geospatial analysis combined with qualitative insights provides a comprehensive view of short-term rental dynamics.
  • Research highlights the varying economic implications of Airbnb, informing hosts, urban planners, and policymakers for sustainable growth.

Cite This Study

Dinaj et al. (2024) studied this question.

synapsesocial.com/papers/68c199ee9b7b07f3a061bb5ahttps://doi.org/10.31410/itema.2024.131
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1The Impact of Airbnb on Long-Term Rental Markets in San Francisco: A Geospatial Analysis Using Multiscale Geographically Weighted Regression2024 · 5 citations
  2. 2Analyzing patterns in Airbnb listing prices and their classification in London through geospatial distribution analysis2024 · 3 citations
  3. 3Spatial dynamics of Airbnb: Locational factors in birth and survival2025 · 2 citations
  4. 4Airbnb and Urban Housing Dynamics: Economic and Social Impacts in Greece2024 · 7 citations
  5. 5How Words Shape Neighborhood Appeal: Analyzing Naples Through Airbnb2025