Proceedings of the 1st Engineering Data Analytics and Management Conference (EAMCON 2025)

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Beyond the Stay: Data-Driven Insights into Airbnb Market Dynamics and Traveler Preferences

Authors
Shreyas Kurane1, *, Prateek Hosur1, Aditya Aski1, Krishna patel1, Rajashri Khanai1, Ryan Dias1, Niranjan Muchandi1, Salma Shahapur1, Prathamesh Redekar1
1Department of Computer Science and Engineering (AI), KLE Technological University, Dr. M. S. Sheshgiri College of Engineering and Technology, Belagavi, India
*Corresponding author. Email: 02fe23bci013@kletech.ac.in
Corresponding Author
Shreyas Kurane
Available Online 31 December 2025.
DOI
10.2991/978-94-6463-978-0_58How to use a DOI?
Keywords
Airbnb; Machine Learning(ML); Pricing Optimization; Exploratory Data Analysis
Abstract

Airbnb has transformed the world travel and accommodation market by offering flexible and low-cost short-term rentals. Yet, comprehending the intricate price and demand patterns and customer behavior remains a significant challenge among hosts, tourists, and investors. In this study, an Exploratory Data Analysis (EDA) framework is utilized to derive spatiotemporal and behavioral patterns from Airbnb datasets, followed by prediction using machine learning models. Preprocessing of data, feature engineering, and dimension reduction (PCA) enhance model explainability and accuracy. Among the experimented models, ensemble learning methods like CatBoost exhibited the highest accuracy of about 83% for both price estimation and demand classification. These results present implementable directions for host strategy optimization, identification of profitable markets for investors, and improved customer satisfaction.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 1st Engineering Data Analytics and Management Conference (EAMCON 2025)
Series
Advances in Engineering Research
Publication Date
31 December 2025
ISBN
978-94-6463-978-0
ISSN
2352-5401
DOI
10.2991/978-94-6463-978-0_58How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Shreyas Kurane
AU  - Prateek Hosur
AU  - Aditya Aski
AU  - Krishna patel
AU  - Rajashri Khanai
AU  - Ryan Dias
AU  - Niranjan Muchandi
AU  - Salma Shahapur
AU  - Prathamesh Redekar
PY  - 2025
DA  - 2025/12/31
TI  - Beyond the Stay: Data-Driven Insights into Airbnb Market Dynamics and Traveler Preferences
BT  - Proceedings of the 1st Engineering Data Analytics and Management Conference (EAMCON 2025)
PB  - Atlantis Press
SP  - 688
EP  - 696
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-978-0_58
DO  - 10.2991/978-94-6463-978-0_58
ID  - Kurane2025
ER  -