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

Author(s): Eriksena Dinaj, Egla Mansi, Nerajda Feruni
Subject(s): Social Sciences
Published by: Udruženje ekonomista i menadžera Balkana
Keywords: Airbnb; Geospatial analysis; User satisfaction; Economic impact; Urban planning; Sustainable growth
Summary/Abstract: This study considers the geospatial dynamics of Airbnb listings across nine major cities globally, considering the impact of location, amenities, and host status on user satisfaction and economic outcomes. Using a mixed-method approach that combines mostly quantitative geospatial analysis with qualitative insights, this study reveals the distribution patterns of Airbnb listings, factors that affect user satisfaction, and the economic implications of short-term rentals. Results from this study clearly show the importance of amenities and host interaction in enhancing the experience and bringing out clustering of listings around central urban areas, while it also shows the varying impact of Airbnb on local economies and housing markets. The current research fills this gap by providing a comprehensive geospatial view for hosts, urban planners, and policymakers making efforts for the sustainable growth of short-term rentals.

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