Why Public Bus is a Less Attractive Mode of Transport: A Case Study of Putrajaya, Malaysia

Borhan, Muhamad Nazri; Ibrahim, Ahmad Nazrul Hakimi; Syamsunur, Deprizon; Rahmat, Riza Atiq Abdullah O.K.

doi:10.3311/pptr.9228

Cited by 56 publications

(51 citation statements)

References 23 publications

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“…The use of private transport in Malaysia is relatively high compared to other cities, such as London (10%), Singapore (36%), and Hong Kong (26%) [2]. However, the use of private cars causes serious problems, such as traffic accidents, congestion, global warming, and pollution [3,4]. Numerous sustainable transport modes, such as car sharing, carpooling, cycling, park and ride, walking, and public transport, have been proposed to overcome the serious problems caused by the use of private transport [5].…”

Section: Introductionmentioning

confidence: 99%

Understanding Users’ Intention to Use Park-and-Ride Facilities in Malaysia: The Role of Trust as a Novel Construct in the Theory of Planned Behaviour

2020

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This research aimed to use the extended theory of planned behaviour (TPB) to determine whether it can explain users' intention to use the bus-based park-and-ride (P&R) facilities in Putrajaya, Malaysia. This research introduced a new predictor related to the use of P&R facilities, namely trust. The survey involved 437 respondents. A structural equation model is used to show that trust positively influence the attitude and perceived behavioural control (PBC) towards the use of P&R facilities. However, the intention to use P&R facilities is not profoundly influenced by trust and subjective norm. Results also revealed that attitude, subjective norm, and PBC have a strong positive influence on the intention to use P&R facilities. In addition, several policy recommendations are discussed in this study. All things considered, the theory of planned behaviour was able to predict users' intention to use P&R facilities in Malaysia. It is hoped that this research would increase researchers' interest in conducting further investigation in this field and that the model is beneficial to service providers in helping them identify the factors that increase the number of P&R users.

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Section: Introductionmentioning

confidence: 99%

Understanding Users’ Intention to Use Park-and-Ride Facilities in Malaysia: The Role of Trust as a Novel Construct in the Theory of Planned Behaviour

2020

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“…However, it is not easy to change as there are different factors that may influent their choice of mode of transport. Take a public bus for example, travel time, frequency of bus service, safety and information about the service are among the factors that can potentially influence the public's decision on choosing bus as the mode of transport [8]. Unfortunately, the transport system in Malaysia leaves a lot to be desired.…”

Section: Introductionmentioning

confidence: 99%

Predict Arrival Time by Using Machine Learning Algorithm to Promote Utilization of Urban Smart Bus

Noor¹,

N²,

Kolandaisamy³

et al. 2020

Preprint

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The impact of the accurate estimated time of arrival (ETA) is often overlooked by bus operators. By providing accurate ETA to riders, it gives them the impression of bus services is efficient and reliable and this promotes higher ridership in the long run. This research project aims to predict bus arrival time by using the Support Vector Regression (SVR) model which is based on the same theory as the Support Vector Machine (SVM). Urban City Bus data covering part of the Petaling Jaya area (route name PJ03) is used in this research work. Features related to traffic such as travel duration, a distance of the road, weather and operation at peak or non-peak hour have been used as input in the training of the SVR model. By using kernel trick and specifying optimum parameters, all the features in higher dimensions are efficiently calculated and the SVR model achieves convergence. The model is evaluated with the test set of data split from the original dataset. The experimental result indicates the SVR model displays good prediction ability with its low average error on the prediction result. However, weather data has not been influential to the prediction model as the results of the model trained with and without weather data show a negligible difference.

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“…Improving the supply quality of public bus transportation systems is influential in the enhancement of passenger gratification. It is correlated with the assessment of various criteria related to transport quality, service quality and tractability [2][3][4][5][6][7]. In recent years, the majority of research has focused on passenger gratification in different transportation fields [8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Sustainable Urban Transport Development by Applying a Fuzzy-AHP Model: A Case Study from Mersin, Turkey

Moslem

Duleba

2019

Urban Science

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Sustainable development decisions generally require citizen participation in the decision process to avoid public resistance and objections in the long term. Because of the involvement of non-experts, the uncertainty of the decision is increased, and this must be considered in the decision-making process. This paper aims to introduce a sustainable urban transport development problem in which citizens are involved to allow them to express their preferences for improving certain elements of the public bus system. To mitigate the uncertainty of the non-expert evaluations, a fuzzy-analytic hierarchy process (AHP) model has been created and applied. Since the objective of the research is to provide a suitable framework for transport development tenders, only the criteria weights have to be determined; thus, an alternative level has not been applied. The model has been tested on the urban bus transport system of a large Turkish city: Mersin. Based on the application, citizen preference weights could be associated with certain elements of the supply quality; thus, government development source allocation decisions could be supported. The fuzzy-AHP model ensures that the final development implications will meet public demand for bus system improvement in the city.

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Why Public Bus is a Less Attractive Mode of Transport: A Case Study of Putrajaya, Malaysia

Abstract: Abstract

Cited by 56 publications

References 23 publications

Understanding Users’ Intention to Use Park-and-Ride Facilities in Malaysia: The Role of Trust as a Novel Construct in the Theory of Planned Behaviour

Understanding Users’ Intention to Use Park-and-Ride Facilities in Malaysia: The Role of Trust as a Novel Construct in the Theory of Planned Behaviour

Predict Arrival Time by Using Machine Learning Algorithm to Promote Utilization of Urban Smart Bus

Sustainable Urban Transport Development by Applying a Fuzzy-AHP Model: A Case Study from Mersin, Turkey

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