Research on the Impact of Dynamic Pricing on Revenue Based on Airbnb Data

Wenjia Zhang

2025

Abstract

Airbnb, as a globally leading short-term rental platform, faces unique challenges in pricing due to the diversity of its listings, including variations in location, amenities, and host preferences. To address these challenges, Airbnb has introduced a calendar-based visualization tool and a machine learning-driven tool to maximize hosts' revenue. However, the empirical impact of dynamic pricing-particularly its differential effects across room types-remains understudied. To get figure out that, this research used linear regression to quantify the impact of dynamic pricing on revenue and find out how it had differential effects across room types. This study addressed two core questions: How significant is the revenue gap between dynamic pricing and fixed pricing strategies? Does dynamic pricing exert varying impacts on revenue across different room types? Taking Chicago as an example, the article finds that dynamic pricing can increase annual income by 30% and shows no significant difference in the degree to which different room types affect income from dynamic pricing.

Paper Citation

in Harvard Style

Zhang W. (2025). Research on the Impact of Dynamic Pricing on Revenue Based on Airbnb Data. In Proceedings of the 2nd International Conference on E-commerce and Modern Logistics - Volume 1: ICEML; ISBN 978-989-758-775-7, SciTePress, pages 711-716. DOI: 10.5220/0013852800004719

in Bibtex Style

@conference{iceml25,
author={Wenjia Zhang},
title={Research on the Impact of Dynamic Pricing on Revenue Based on Airbnb Data},
booktitle={Proceedings of the 2nd International Conference on E-commerce and Modern Logistics - Volume 1: ICEML},
year={2025},
pages={711-716},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013852800004719},
isbn={978-989-758-775-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on E-commerce and Modern Logistics - Volume 1: ICEML
TI - Research on the Impact of Dynamic Pricing on Revenue Based on Airbnb Data
SN - 978-989-758-775-7
AU - Zhang W.
PY - 2025
SP - 711
EP - 716
DO - 10.5220/0013852800004719
PB - SciTePress