Analysis of barriers to perceived service quality in Ghana: Students’ perspectives on bus mobility attributes
Abstract
The quality of bus transport to school and its synergistic effects on school attendance, quality teaching, and learning are best measured using experiences and perceptions of users. The study sought to investigate 43 obstacles to the delivery of quality bus service via 20 selected private schools in the Sunyani Municipality, Ghana. The survey was an exploratory case study which focused on the use of a questionnaire. Survey participants of 403 students were selected to respond, using the probability sampling technique. Descriptive statistics were used to define essential socio-demographic and bus service-related characteristics and their effects on schoolchildren's mobility decision-making as well as academic work. Exploratory factor analysis was used to construct four latent factors which describe obstacles to perceived service quality (PSQ) delivery. The theoretical factor structure of the data was tested using confirmatory factor analysis in AMOSS 23. Simultaneously, path analysis was employed to investigate the direct and indirect effects of barriers to PSQ in the private schools' transport system. The principal component analysis highlighted four constructs as barriers to bus PSQ in the municipality: (1) perceived scheduling and routing barriers, (2) perceived safety and bus attribute barriers, (3) pedestrian and bus stop facilities barriers and (4) efficiency, effectiveness, and equity-related barriers. We recommend that Private School Authorities and Municipal Board of Education adopt policies and draft operational safety and guideline manuals that clarify acceptable bus service delivery benchmarks and performance indicators for schools. © 2020 Elsevier Ltd
Author(s)
Stephen Agyeman
Year
2020
Countries
Ghana
Language
English
Research Method
Quantitative
Article Type
Peer-Reviewed Articles
Keywords
Private schools | Education policy | Infrastructure | Equity | Student attendance | Primary education | Excel Import
Source Link
Full Citation Style
Research Team
Stephen Agyeman
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