Proceedings of the Conference on Social and Sustainable Innovation in Technology & Engineering (SASI-ITE 2025)

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Big Data-Driven Innovations in Hospitality and Tourism: Enhancing Accessibility and Personalized Travel Experiences

Authors
Tanmay Mendhey1, *
1Department of Hospitality Management and Human Gastronomy, San Ignacio University, Miami, FL, USA
*Corresponding author. Email: tanmaytammy1993@gmail.com
Corresponding Author
Tanmay Mendhey
Available Online 31 December 2025.
DOI
10.2991/978-94-6463-940-7_14How to use a DOI?
Keywords
Data Analytics; Inclusive Tourism; Travel Accessibility; User- Generated Content; Sentiment Analysis; Predictive Modeling; AI-Powered Systems; Hospitality Industry; Service Personalization; Policy Innovation
Abstract

The rapid advancement of data analytics has revolutionized the tourism and hospitality sectors, transforming them from labor- intensive models into insight-driven industries. While existing research emphasizes the influence of large-scale data analysis on general tourism trends, its role in addressing the needs of travelers with disabilities remains underexplored. This study investigates how intelligent data applications can enhance travel accessibility by analyzing both structured and unstructured information, including user-generated content, social media discourse, booking behaviors, and sentiment analysis. Furthermore, it explores how analytics-driven insights can inform service personalization, infrastructure optimization, and policy development for inclusive tourism. As global aging populations grow and disability prevalence increases, identifying accessibility-focused travel patterns presents a vital opportunity for businesses and decision-makers. By leveraging predictive modeling, machine learning, and AI-powered systems, the hospitality industry can better serve travelers with diverse needs, enhancing both user satisfaction and economic viability. This paper offers a novel lens on the convergence of intelligent data systems, accessibility, and tourism, and provides strategic recommendations for fostering a more inclusive travel landscape.

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 Conference on Social and Sustainable Innovation in Technology & Engineering (SASI-ITE 2025)
Series
Advances in Intelligent Systems Research
Publication Date
31 December 2025
ISBN
978-94-6463-940-7
ISSN
1951-6851
DOI
10.2991/978-94-6463-940-7_14How 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  - Tanmay Mendhey
PY  - 2025
DA  - 2025/12/31
TI  - Big Data-Driven Innovations in Hospitality and Tourism: Enhancing Accessibility and Personalized Travel Experiences
BT  - Proceedings of the Conference on Social and Sustainable Innovation in Technology & Engineering (SASI-ITE 2025)
PB  - Atlantis Press
SP  - 182
EP  - 202
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-940-7_14
DO  - 10.2991/978-94-6463-940-7_14
ID  - Mendhey2025
ER  -