Surat, Beas Cleanest Railways Stations in Country

Among the 332 A category stations Beas in Punjab, Gandhidham in Gujarat and Vasco-Da-Gama in Goa are top three clean stations.

Published: 17th March 2016 09:13 PM  |   Last Updated: 17th March 2016 09:13 PM   |  A+A-


NEW DELHI: Gujarat’s Surat and Rakjot railway stations and Bilaspur in Chhattisgarh has topped the list of 75 A1 category platforms on criteria of cleanliness of stations based on passenger feedback. Chennai Central was ranked 31 in the list.

Among the 332 A category stations Beas in Punjab, Gandhidham in Gujarat and Vasco-Da-Gama in Goa are top three clean stations.

This survey was commissioned under the ‘Swach Rail, Swachh Bharat Abhiyan’ with the objective of measuring the passengers’ satisfaction as regards to cleanliness at station premises.

Commissioned by the Environment & Housekeeping Management Directorate, Railway Board, the survey was conducted by Indian Railways Catering and Tourism Corporation (IRCTC) through a private agency.

The survey continued over the course of 21 days (16 Jan – 5 Feb 2016) at 407 major railways stations (75 A1 category and 332 A category stations). For every A1 category station 400 passengers were targeted for interview while in every A category station 300 passengers were targeted for interview.

During this survey more than 134,000 passengers gave their feedback on different parameters of cleanliness at the station premises. In the feedback analysis, cleanliness levels were classified into five categories (from Level 1 to Level 5) denoting decreasing levels of cleanliness.

Every passenger was asked to rate the station’s cleanliness on 40 different cleanliness parameters as well as rate his overall satisfaction with the station’s cleanliness. The rating was taken on a scale of 1 to 5 where 1 stood for ‘Poor’ and 5 for ‘Excellent’.

For every station, a summation of passenger’s ratings on each parameter was carried out and divided by applicable number of passengers (for each station) to arrive at the average mean score for the station on each parameter.

Importance of each parameter in passenger’s overall satisfaction with the station’s cleanliness was derived by a regression analysis. Finally, all weighted parameter scores were added to arrive at the final rating for each of the 407 stations. This final rating score was then spread on a scale of 0 to 1000.


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