PUBLIC TRANSPORT IMAGE POSITIONING USING MULTIDIMENSIONAL SCALING AND CORRESPONDENCE ANALYSIS

Authors

  • Zamalia Mahmud Center of Statistical and Decision Science Studies, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
  • Nor Hidayah Hassim Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

DOI:

https://doi.org/10.11113/jt.v78.10032

Keywords:

Express bus services, customers’ satisfaction, Multidimensional Scaling (MDS), Correspondence Analysis (CA)

Abstract

There is still a great demand for public transportation in Malaysia and express buses are no exception. In order to stay competitive, bus companies must position their image and provide a better service for their customers. This study is intended to identify the position of express buses based on customers’ satisfaction towards the service quality by using Multidimensional Scaling (MDS) and Correspondence Analysis (CA). It is also intended to identify the presence or availability of the services/features/appearances provided by the bus company. Data were collected from 142 passengers using convenience sampling at an undisclosed Express Bus Terminal in Klang Valley. The bus companies included in this study were SExpress, KTB, MExpress, MahExpress, DExpress and CExpress. Multidimensional scaling was used to compare the position of the express buses based on the customers’ satisfaction towards the service quality while correspondence analysis was used to investigate the presence or availability of the services/features/appearances provided by the bus company. Results of the analysis show that KTB has the best performance in terms of its responsiveness and assurance in the service quality whereas SExpress has strong association with empathy service quality. MahExpress performed comparatively well on the tangible service quality. MahExpress is associated with “on board entertainment†and “comfortable ride†whereas MExpress is associated with “more leg space in the busâ€. SExpress and KTB are highly competitive because passengers in the cluster perceived similar services/features regarding “driver informs passengers when the bus arrives at respective bus stations†and “bus has comfortable seatsâ€. In conclusion, both methods have created perceptual maps that illustrate the product positions and their attributes which is important to facilitate marketing of the products and services.

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Published

2016-12-15

How to Cite

PUBLIC TRANSPORT IMAGE POSITIONING USING MULTIDIMENSIONAL SCALING AND CORRESPONDENCE ANALYSIS. (2016). Jurnal Teknologi, 78(12-3). https://doi.org/10.11113/jt.v78.10032