Hotel Booking Cancellation Analytics on Imbalanced Data

Cai Yuxuan, Hsu Tuan-Chun, Jin Zhuofan, Tan Chian Wen Melvin, Vivek Goyal and Zheng Yijun ()
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Cai Yuxuan: Nanyang Technological University
Hsu Tuan-Chun: Nanyang Technological University
Jin Zhuofan: Nanyang Technological University
Tan Chian Wen Melvin: Nanyang Technological University
Vivek Goyal: Nanyang Technological University
Zheng Yijun: Nanyang Technological University

A chapter in Tourism Analytics Before and After COVID-19, 2023, pp 97-117 from Springer

Abstract: Abstract In this study, we look at the impact of COVID on different travel sectors and how can we contribute to the recovery of this sector using Analytics. We focus our study on reducing the cancellation of hotel bookings in the Portugal region. We performed data cleaning, processing, and visualization to gain an understanding of this problem and observe how travelling plans evolve over the years. We created a prediction model for hotel room cancellation and applied different machine learning algorithms to predict possible cancellations. We also looked at feature engineering and saw how these models can be used to find out important features that contribute towards the prediction of room cancellations. We further analyze these factors in more depth to understand what exactly is leading to hotel room cancellations. This study also proposes recommendations for hotel operators to adopt in the future when the pandemic situation improves to recover from losses in the past period.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-19-9369-5_7

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DOI: 10.1007/978-981-19-9369-5_7

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