Object-Based Spatial Analysis of Airbnb Homes in Istanbul

This study investigates the sociocultural and functional organization of residential interiors in Istanbul through an object-based spatial analysis. Utilizing a dataset of over 46,780 photographs from 1,968 Airbnb listings in Istanbul, the research employs computational methods, specifically web scraping with Python for data acquisition, and advanced computer vision and artificial intelligence models (MiniCPM-V:8B and LLaVA-Llama3:8B) for identifying objects and mapping their spatial relationships. The study aims to reveal how the interconnections between objects within distinct room types–dining room, kitchen, living room, bathroom, and bedroom–shape spatial integration and influence daily life activities. Key findings demonstrate the central role of the dining table in dining rooms through strong connections with chairs, the critical function of the sink in kitchens linked to preparation areas and appliances, the dominant relationship between the coffee table and sofa in living rooms reflecting comfort and social interaction, and the distinct functional priorities of hygiene in bathrooms and comfort in bedrooms. The analysis reveals that the spatial structure of domestic environments in Istanbul is increasingly characterized by object clusters and user-object interactions, moving beyond traditional physical boundaries. These findings underscore the significant influence of cultural values, hospitality practices, and social interaction patterns on the spatial configuration and integration of contemporary homes, offering insights into the evolving nature of domestic space in an urban context. Received: 20 March 2025 | Revised: 23 June 2025 | Accepted: 11 July 2025 Conflicts of Interest The author declares that he has no conflicts of interest to this work. Data Availability Statement Data are available on request from the corresponding author upon reasonable request. Author Contribution Statement Mansur Beştaş: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing – original draft, Writing – review & editing, Visualization, Supervision, Project administration.

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Publication Details

Journal
Journal of Computational and Cognitive Engineering
Published
2025-08-28
DOI
https://doi.org/10.47852/bonviewjcce52025749
Citations
1
Primary Topic
Sharing Economy and Platforms
Type
article
Field-Weighted Citation Impact
2.07
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article

Object-Based Spatial Analysis of Airbnb Homes in Istanbul

Mansur Beştaş
1 citations
Journal of Computational and Cognitive Engineering
Sharing Economy and Platforms
2.07
article

Object-Based Spatial Analysis of Airbnb Homes in Istanbul

Mansur Beştaş
article en
1 citations

Abstract

This study investigates the sociocultural and functional organization of residential interiors in Istanbul through an object-based spatial analysis. Utilizing a dataset of over 46,780 photographs from 1,968 Airbnb listings in Istanbul, the research employs computational methods, specifically web scraping with Python for data acquisition, and advanced computer vision and artificial intelligence models (MiniCPM-V:8B and LLaVA-Llama3:8B) for identifying objects and mapping their spatial relationships. The study aims to reveal how the interconnections between objects within distinct room types–dining room, kitchen, living room, bathroom, and bedroom–shape spatial integration and influence daily life activities. Key findings demonstrate the central role of the dining table in dining rooms through strong connections with chairs, the critical function of the sink in kitchens linked to preparation areas and appliances, the dominant relationship between the coffee table and sofa in living rooms reflecting comfort and social interaction, and the distinct functional priorities of hygiene in bathrooms and comfort in bedrooms. The analysis reveals that the spatial structure of domestic environments in Istanbul is increasingly characterized by object clusters and user-object interactions, moving beyond traditional physical boundaries. These findings underscore the significant influence of cultural values, hospitality practices, and social interaction patterns on the spatial configuration and integration of contemporary homes, offering insights into the evolving nature of domestic space in an urban context. Received: 20 March 2025 | Revised: 23 June 2025 | Accepted: 11 July 2025 Conflicts of Interest The author declares that he has no conflicts of interest to this work. Data Availability Statement Data are available on request from the corresponding author upon reasonable request. Author Contribution Statement Mansur Beştaş: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing – original draft, Writing – review & editing, Visualization, Supervision, Project administration.

Journal of Computational and Cognitive EngineeringVol. 4(4)
Bitlis Eren University (TR)
Openalex Percentile: Top 10%
Sharing Economy and Platforms
2.07
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