Purpose
The purpose of this paper is to estimate and compare the service quality of the city bus service measured by two different approaches which are subjective service quality dimensions and objective service quality dimensions.
Design/methodology/approach
The objective service quality dimensions have been estimated based on the benchmarking technique provided by the Ministry of Urban Development, India. For the analysis of subjective service quality dimensions, a questionnaire survey has been conducted to measure the users’ satisfaction and dissatisfaction about the service. The questionnaire consists of users’ socioeconomic characteristics and 23 questions related to city bus service quality dimensions. Questionnaire data have been analyzed by factor analysis, regression analysis and path analysis to find out the indicators representing subjective service quality dimensions. Finally, the overall service quality of the bus service has been determined based on both the measures.
Findings
The study indicates that the overall service quality of the bus service is different for subjective and objective analyses. While the objective measures show that the service quality is very good, the subjective measures indicate that the service is not doing well.
Research limitations/implications
The analysis of the subjective dimensions is complicated. Analysis of the subjective dimensions needed more expertise and resources than the objective analysis.
Originality/value
In this study, the estimated service quality of the bus service is more reliable than the other methods as it comprises of both operators’ perspective and passengers’ expectations from the service.
Crushing test and Impact test are very important to estimate strength and toughness characteristics of the road aggregate. Extensive experimental procedures and different sets of equipment are required for these types of aggregate testing. Therefore, the objective of the study is to investigate whether the light compaction test can be a suitable alternative for both these tests. For this experimental procedure, 60 aggregate samples were collected from different rock quarries spread along North-eastern states of India. The specifications of the aggregate samples are kept similar for all of these three test procedures. The result indicates a strong correlation of Light compaction values (LCV) with Aggregate crushing values (ACV) and Aggregate Impact Values (AIV). The R2 values for the relationship was found to be more than 0.9 for both these relationships. It indicates that the LCV can be used to closely predict the ACV and AIV. The root mean square error (RMSE) values estimated based on the actual and predicted values were also found to be low which further concrete the claim that light compaction test can be a suitable alternative for crushing test and impact test of the aggregates.
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