Digital Transformation In Railway Ticketing:An Analysis of User Satisfaction And Ai Support

The Rapid Growth Of Digital Technologies Has Significantly Transformed The Railway Ticketing System, Replacing Traditional Methods With User-friendly Online Platforms And Mobile Applications. This Study, Titled “Digital Transformation In Railway Ticketing: An Analysis Of User Satisfaction And AI Support”, Explores The Evolving Landscape Of Digital Ticket Booking And Evaluates User Experiences In This Domain. The Primary Objectives Are To Identify The Most Commonly Used Train Ticket Booking Applications, To Examine The Level Of Satisfaction With Various Features Offered By These Apps, To Analyze The Usefulness Of Artificial Intelligence (AI) Technologies In Enhancing The Booking Experience, And To Study The Challenges Encountered By Users During The Process. The Research Highlights How AI-driven Tools, Such As Chatbots, Predictive Search, And Personalized Recommendations, Contribute To Efficiency And Convenience, While Also Addressing User Concerns Related To Technical Glitches, Payment Security, And Accessibility. By Combining User Feedback With Analytical Insights, This Study Provides A Comprehensive Understanding Of Digital Transformation In Railway Ticketing And Offers Recommendations For Improving App Usability, Reliability, And AI Integration.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-18
DOI
https://doi.org/10.5281/zenodo.17485283
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

Digital Transformation In Railway Ticketing:An Analysis of User Satisfaction And Ai Support

Zenodo (CERN European Organization for Nuclear Research)
Human-Automation Interaction and Safety
article

Digital Transformation In Railway Ticketing:An Analysis of User Satisfaction And Ai Support

article en

Abstract

The Rapid Growth Of Digital Technologies Has Significantly Transformed The Railway Ticketing System, Replacing Traditional Methods With User-friendly Online Platforms And Mobile Applications. This Study, Titled “Digital Transformation In Railway Ticketing: An Analysis Of User Satisfaction And AI Support”, Explores The Evolving Landscape Of Digital Ticket Booking And Evaluates User Experiences In This Domain. The Primary Objectives Are To Identify The Most Commonly Used Train Ticket Booking Applications, To Examine The Level Of Satisfaction With Various Features Offered By These Apps, To Analyze The Usefulness Of Artificial Intelligence (AI) Technologies In Enhancing The Booking Experience, And To Study The Challenges Encountered By Users During The Process. The Research Highlights How AI-driven Tools, Such As Chatbots, Predictive Search, And Personalized Recommendations, Contribute To Efficiency And Convenience, While Also Addressing User Concerns Related To Technical Glitches, Payment Security, And Accessibility. By Combining User Feedback With Analytical Insights, This Study Provides A Comprehensive Understanding Of Digital Transformation In Railway Ticketing And Offers Recommendations For Improving App Usability, Reliability, And AI Integration.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 40%
Human-Automation Interaction and Safety
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Digital Transformation In Railway Ticketing:An Analysis of User Satisfaction And Ai Support · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS