Train Issues Due To Covid – 19

Authors: Adithya Thankachan
Lakshmi Vijayan
Elita Mendonca


This report analyses the possible impact of Covid-19 on the transport sector specifically the railways. We have focused on understanding the problems which are faced by the public due to restrictions on trains & hygiene facilities provided by the railway department.


To understand the underlying phenomena of the problem.

Literature Review

It states that they outlined a novel approach to study the relationship between daily mobility and the incidence of COVID-19 using the GEE method. The statistical model effectively negates the within-subject correlation of responses on dependent variables to produce unbiased parameter estimates for case count data that was not normally distributed. Either way, the study has established that there was a strong relationship between human mobility patterns and the incidence of COVID-19 in India. The test results show that although workplace-related traveling by trains is significantly associated with the dependent variable (p < 0.05), the coefficient value for predicting the relationship is negative. Importantly, the results have also highlighted the point that the spread of the coronavirus is closely related to the frequency of short-distance travel for daily needs. They have also provided some evidence to suggest that economic activities such as commuting to workplaces by railways which have preventive measures such as social distancing and wearing of masks are unlikely to increase number of new cases. (Praharaj, S., et al, 2021)

The COVID-19 pandemic has resulted in a decline in all types of business, especially the transportation and warehousing business. This research focuses on rail public transportation during the Covid-19 pandemic. To determine the effect of risk perception on planned attitudes and behaviour on intentions to travel by train. The dimensions of risk perceptions that affect attitudes during this pandemic are the perception of health risks, perceptions of psychological risks and perceptions of time risks; this is a concern of potential passengers or passengers when using public train stations and public transportation facilities. The health dimension, the psychological dimension and the time dimension have a T-value of more than 1.960 and a maximum P-value of 5%. Prospective passengers feel anxiety in using public transportation during the Covid-19 pandemic, to reduce the anxiety of prospective passengers in using public rail transportation by providing information or communication repeatedly related to novelty and quality handling of Covid-19 in rail transportation is in accordance with health protocols. Another factor that can reduce the anxiety of prospective passengers is to provide a sense of confidence to prospective passengers that using train transportation is safe. (Nurhadi et al.2021)

Data Collection

In this research, the designs of the questionnaire with 5 questions are primarily based on the experiences of the people. Likert rating scale method is used to measure the analysis. The ratings are based on strongly agree as 5, Agree as 4, Neutral as 3, Disagree as 2 and Strongly disagree as 1.
Q.1 I face lack of train provision.
Q.2 I face poor sanitation.
Q.3 I experienced crowd in trains.
Q.4 I got viral infection while traveling.
Q.5 I experienced delay in train.

Data Analysis

Q1. Q2. Q3. Q4. Q5.
Mean 3.72 3.78 3.64 2.19 3.23
Standard Deviation 1.09 1.14 1.32 1.34 1.46
Standard Error 0.11 0.11 0.13 0.13 0.14
Z=Mean-µ/SD 0.66 0.68 0.49 -0.60 0.16
Results Neutral Neutral Neutral Negative Neutral

Z-test has been used for analyzing data derived from questionnaire. The survey is conducted with a sample size of 103 people and the information is collected with the help of Google forms.

Findings and Conclusions

When confident level is at 95%
If T-stat is between 1.96 and -1.96 people are neutral
If T-stat is more than 1.96 accept the statement positively.
If T-stat is less than -1.96, reject the null and accept the alternate hypothesis but negatively.

1. From the above findings we can conclude that people are neutral
towards the lack of train provision during COVID-19.
2. From the above findings we can conclude that people are neutral
towards the question on sanitation.
3. From the above findings we can conclude that people are neutral
towards the experience of crowds in trains.
4. From the above findings we can conclude that people are disagreeing
of getting viral infections while travelling.
5. From the above findings we can conclude that people are neutral
towards the experience of delays occurred by trains.


Nurhadi, & Suryadari, R. T. (2021). Understanding changes in perceptions and behaviour of train passengers during the covid 19 pandemic. IOP Conference Series.Earth and Environmental Science, 824(1) doi:

Praharaj, S., & Han, H. (2021). Human mobility impacts on the surging incidence of COVID-19 in india. Geographical Research, doi: