Harnessing Artificial Intelligence for Enhancing Passenger Experience in Pakistan Railways: A Service Science Perspective

Clicks: 7
ID: 334381
2025
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #606 of 1,064 articles by views in Annals of Human and Social Sciences

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 1,064 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
The present research seeks to investigate the potential of Artificial Intelligence (AI) in improving the Pakistan Railways (PR) passenger experience in terms of operational efficiency, safety, and service quality. Pakistan Railways has been plagued by ongoing issues of delays, ticket shortage, safety issues, and all these factors decrease passenger satisfaction. Global evidence is available that daily services can be enhanced with AI in predictive maintenance, scheduling, safety, and customer-focused services. Qualitative conceptual research design was used, making use of literature review and secondary data analysis to put forward a framework for integrating AI in PR. The results indicate that AI applications enhance predictive maintenance, decrease delays, streamline scheduling, increase safety, and offer personalized passenger services. These results as a whole enhance satisfaction, loyalty, and efficiency. PR must adopt AI through phased pilot projects, enhance technical capacity, undertake stakeholder engagement, and obtain long-term funding for sustainable integration.
Reference Key
imported_1793227194_6ae279bacc052 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Shama Sadaqat Yaseen
Are you one of these authors? Claim your profile
Journal Annals of Human and Social Sciences
Year 2025
DOI
10.35484/ahss.2025(6-III)43
URL
https://ojs.ahss.org.pk/journal/article/view/1061
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.