Predicting the Use of Public Transportation: A Case Study from Putrajaya, Malaysia

Author:

Borhan Muhamad Nazri12,Syamsunur Deprizon3,Mohd Akhir Norliza1,Mat Yazid Muhamad Razuhanafi1,Ismail Amiruddin2,Rahmat Riza Atiq1

Affiliation:

1. Department of Civil and Structural Engineering, Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Selangor, Malaysia

2. Sustainable Urban Transport Research Centre (SUTRA), Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Selangor, Malaysia

3. School of Civil Engineering, Linton University College, Batu 12, Mantin, 71700 Mantin, Negeri Sembilan, Malaysia

Abstract

Putrajaya is a new federal administrative capital of Malaysia which has been set to achieve a 70% share of all travels by public transport in the city area. However, the current modal split between the public transport and private transport is 15 : 85. In order to understand travelers’ willingness to use the public transport, a conceptual model has been developed to determine the factors that affect them to use the public transport instead of travelling in their own cars. Various variables such as service quality, environmental impact, attitude, and behavior intention were analyzed and tested using structural equation model (SEM). Results indicate that the service quality and attitude are found to have positive effects on the behavioral intention of taking the public transport. Other than this, this study also shows that the service quality and environmental impact have some positive influences on the attitude to using the public transport. However, environmental impact has no significant, positive, and direct effect on behavioral intention. The results of this study demonstrate that the model that was developed is useful in predicting the public transport and it could provide a more complete understanding of behavioral intention towards public transport use.

Funder

Universiti Kebangsaan Malaysia

Publisher

Hindawi Limited

Subject

General Environmental Science,General Biochemistry, Genetics and Molecular Biology,General Medicine

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