EXPERIENCE OF USING UTS (Unreserved ticket system) App.

AUTHORS

  1. Madhura Bhat (PGDM-3408)
  2. Raj Kataria ( PGDM – 3704)
  3. Dishev Mehrotra (PGDM-3816)
  4. Averi Hazra (PGDM-1287)

 

INTRODUCTION

In these modern days, each and every person wants to be mobilised. UTS app is basically the officially mobile ticketing application which allows train travellers to book unreserved tickets of suburban railways using their smartphone.With such a fast paced life people don’t have the time to stand in the queues for tickets. So we want to know how Mumbai people experienced the use of  UTS app in their busy schedule.

OBJECTIVES

This survey was conducted to understand about the experience and preferences regarding Online ticket booking through UTS App .It was also conducted to know about why people prefers online ticket booking in Mumbai. It aims to promote three “C” Cashless transactions, contact less transaction and Customer convenience.

LITERATURE REVIEW:

REVIEW 1

Although recent updates in the app like availability paper-less tickets in all of Mumbai Suburban Area, offline download of paperless tickets, integration of payment gateways like Mobikwik, Paytm are introduced, it still hasn’t been able to make the ticketing process any better because the added features do not fulfill their purpose yet. This can be seen through the ratings and reviews of the users of the app in the month of February, 2017..

REVIEW 2

it will give a new ticketing experience to people and will also contribute to a cashless economy and it would be safer for users to carry the tickets and payment details in their phones rather than carrying cash, credit/debit cards etc. With the growing popularity of smart phones and mobile wallets, this is the right time to introduce this technology so that people also become familiar with it and adapt to it. This will improve the overall service provided to passenger. The system can be further developed for various features such as seasonal pass, send booked tickets to family, friends etc. Users could be notified through SMS or E-mail about the ticket bookings for confirmation. 12. REFERENCES [1] Wikipedia (2017). “Mumbai.

 

DATA COLLECTION:

AS per the problem we have collected the data by the following questionnaire and with the help of SPSS software we made an analysis.

STATEMENT 1: I use UTS app to save my time.

STATEMENT 2 : The paperless journey is my top priority.

STATEMENT 3 : I like the cash back offers for recharge of R-wallets.

STATEMENT 4 : I can easily View my booking history.

STATEMENT 5 :I prefer online booking whenever possible.

 

DATA ANALYSIS

Frequencies

One-Sample Statistics
  N Mean Std. Deviation Std. Error Mean
Q1 100 0.68 0.737 0.074
Q2 100 1.08 1.022 0.102
Q3 101 0.89 0.915 0.091
Q4 101 1.08 0.935 0.093
Q5 101 1.17 0.917 0.091

 

One-Sample Test
Test Value = 0
t df Sig. (2-tailed) Mean Difference 95% Confidence Interval of the Difference
Lower Upper
Q1 9.228 99 0.000 0.680 0.53 0.83
Q2 10.570 99 0.000 1.080 0.88 1.28
Q3 9.783 100 0.000 0.891 0.71 1.07
Q4 11.604 100 0.000 1.079 0.89 1.26
Q5 12.800 100 0.000 1.168 0.99 1.35

 

CONCLUSIONS

Based on the analysis, we conclude that,

  • People prefer paperless journey to save time.
  • It would be safer for users to carry the tickets and payment details in their phones rather than carrying cash, credit/debit cards etc.
  • The system can be further developed for various features such as seasonal pass, send booked tickets to family, friends etc.
  • Smooth ticketing experience to both, the commuters as well as the railway staff.
  • With the growing popularity of smart phones and mobile wallets, this is the right time to introduce this technology so that people also become familiar with it and adapt to it.
  • REFRENCES: Center for Railway Information System, Passenger Reservation System.http://cris.org.in/CRIS/Projects/PRS.
  • Wikipedia (2017). “Mumbai Suburban Railway”https://en.wikipedia.org/wiki/Mumbai_Suburba n_Railway#cite_note-2 [2] News18.com (2016)
  • “Online Ticket Booking System for Mumbai Local Trains”-IT Dept, SIES GST, Sector V, Nerul, Navi Mumbai [4] Wikipedia (2017).
  • Lakshmi Sudha Kondaka, Shweta Salian, Nayonika Roy, Nivedita Sarma. International Journal of Computer Applications, February 2016.
  • Man Mohan Swarup, Abhiram Dwivedi, Chanchal Sonkar, Rajendra Prasad, Monark Bag, Vrijendra Singh “A QR Code Based Processing For Dynamic and Transparent Seat Allocation in Indian Railway” Cyber Law and Information Security Division, Indian Institute of Technology, Allahabad, India