The Factors Influencing Satisfaction with Public City Transport: A Structural Equation Modelling Approach

Pawlasová, Pavlína

doi:10.7441/joc.2015.04.02

Cited by 23 publications

(11 citation statements)

References 6 publications

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“…Drivers' competence is the level of proficiency and expertise of transportation companies' drivers from origin to passengers' final destination (Nyongesa & Bwisa, 2014). A driver's competence encompasses his driving skills, length of driving experience and knowledge of travel routes, because only when a driver possesses these minimum capabilities will such a driver be considered competent (Pawlasova, 2015). Divers' competence is essentially important in transportation services because it defines passengers' overall perception of the quality of service offered by transportation companies.…”

Section: Drivers' Competence and Passengers' Loyaltymentioning

confidence: 99%

Service Quality and Passengers’ Loyalty of Public Transportation Companies

E.¹,

A.A.²,

E.J.³

et al. 2021

British Journal of Management and Marketing Studies

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This study examined service quality and passengers’ loyalty of public transportation companies. It was carried out to determine the effects of passengers’ safety, passengers’ comfort, drivers’ competence, travel time and vehicle cleanliness on passengers’ loyalty of public transportation companies. The study adopted cross-sectional survey research design. Primary data were obtained from 228 passengers of public road transportation companies using an adapted structured questionnaire. Data analysis was done using descriptive statistics while multiple linear regression was adopted to test the hypotheses of the study with the aid of the Statistical Package for the Social Sciences (SPSS 23) software. The findings of the study revealed that passengers’ safety, passengers’ comfort, drivers’ competence and vehicle cleanliness had significant positive effects on passengers’ loyalty of public transportation companies, while travel time had a non-significant effect on passengers’ loyalty in this regard. Therefore, the study concluded that, to a large extent, service quality has a significant positive influence on passengers’ loyalty of public transportation companies. Practical implications and suggestions for further studies were made consequently.

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Section: Drivers' Competence and Passengers' Loyaltymentioning

confidence: 99%

Service Quality and Passengers’ Loyalty of Public Transportation Companies

E.¹,

A.A.²,

E.J.³

et al. 2021

British Journal of Management and Marketing Studies

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show abstract

“…Accordingly, in an effort to overcome this problem, this study will identify the main factors that influence ridership preference in using this public transportation. Usually, various aspects can influence ridership choice in choosing public transport as the best option for them (Pawlasová, 2015;Wang & Liu, 2015;Bahreini et al, 2016). Thus, the selection of LRT as one of the main transportations is certainly based on several considerations.…”

Section: Research Backgroundmentioning

confidence: 99%

Factors Influencing Ridership Preference in Using LRT Service in Klang Valley, Malaysia

Majid

Said

Abdullah

et al. 2021

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Light Rail Transit (LRT) is one of the public transports that provides a lot of benefits to the Malaysian. Yet this consumption depends on the diverse tastes of potential ridership which are influenced by various factors. However, it is very challenging to predict significant factors influencing ridership preferences. As such, the identification of these factors is very important in ensuring this transportation service really attract ridership attention. Thus, this paper intends to identify the main factors that influence ridership preference in taking LRT transportation. 28 attributes have been identified in this research which expands from four (4) main components. Data were collected from ridership’s survey, site observations and ridership statistical data. Pearson Chi-square has been employed to justify the significant status and the influence level of each LRT attribute and component factors toward ridership preference. The results show that 23 attributes recorded a significant status (<0.00) in two (2) different directions of correlation. Overall, three (3) component factors namely i) Comfortable Service, ii) Economics and iii) Indoor Environment Conditions, have influenced and contributed to the same effect on ridership considerations, as compared to the negative effects displayed by the Site Design Attributes.

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“…Penurunan jumlah kendaraan angkutan kota ini tentunya akan menimbulkan kelebihan dan kekurangan. Kelebihannya adalah pengurangan pencemaran lingkungan dan pengurangan kebisingan (Pawlasova, 2015), sedangkan kekurangannya adalah menambah tingkat pengangguran untuk para sopir angkutan kota.…”

Section: Kesimpulanunclassified

Analisis Jumlah Kendaraan Angkutan Kota Dengan Metode Headway Dllaj Dan Bok Bep Di Masa Pandemi Covid-19

Fauzi

2021

Teknik Industri

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Kinerja transportasi online menjadi salah satu faktor penumpang memilih menggunakan transportasi online dibandingkan angkutan kota. Fenomena tersebut diduga dapat menyebabkan pengemudi angkot (angkutan kota) menggunakan waktu lebih lama untuk menunggu penumpang atau yang disebut “ngetem” dan dapat mempengaruhi meningkatnya kemacetan di Kota Bandung ditambah dengan terjadinya Pandemi Covid-19 menuntut kegiatan transportasi dibatasi paling banyak 50% dari kapasitas angkutan. Permasalahan dari fenomena tersebut diduga karena jumlah angkot lebih besar dibandingkan penumpang angkot sehingga diperlukan pengendalian jumlah angkot yang beroperasi di Kota Bandung. Pada penelitian ini bertujuan untuk mengkaji jumlah optimal angkutan kota di Kota Bandung trayek Abdul Muis - Dago, Abdul Muis - Cicaheum, dan Sederhana - Cipagalo di Masa Pandemi Covid-19. Metode penelitian yang digunakan adalah pendekatan kuantitatif data primer menggunakan konsep pada pedoman teknis penyelenggaraan angkutan penumpang umum di wilayah perkotaan dalam trayek tetap dan teratur yang dikeluarkan oleh Departemen Perhubungan RI Direktorat Jenderal Perhubungan Darat (DLLAJ) dan Biaya Operasional Kendaraan Break Event Point (BOK BEP). Hasil dari penelitian ini adalah jumlah kendaraan angkutan kota trayek Abdul Muis - Dago dengan menggunakan metode DLLAJ turun hingga 91% dan dengan menggunakan metode BOK BEP turun hingga 48%, Jumlah kendaraan angkutan kota trayek Abdul Muis - Cicaheum dengan menggunakan metode DLLAJ turun hingga 80% dan dengan menggunakan metode BOK BEP turun hingga 43%, Jumlah kendaraan angkutan kota trayek Sederhana - Cipagalo dengan menggunakan metode DLLAJ turun hingga 94% dan dengan menggunakan metode BOK BEP turun hingga 41%. Abstract[Analysis of Number of City Transport Vehicles in Bandung Citywith The Headway Method of DLLAJ and BOK BEP in The Pandemic Time of Covid-19] The performance of online transportation is one of the factors for passengers choosing to use online transportation compared to city transportation. This phenomenon is thought to cause angkot (angkutan kota) drivers to take longer to wait for passengers or what is called “ngetem” and can affect the increase in congestion in Bandung coupled with the Covid-19 pandemic, basic transportation activities are at most 50% of the transport capacity. The problem with this phenomenon is thought to be due to the larger number of angkot than angkot passengers, so it is necessary to control the number of public transportation operating in the city of Bandung. This study aims to examine the optimal number of urban transportation in the city of Bandung during The Covid19 Pandemic. The research method used is a quantitative approach to primary data using the concept of technical guidelines for the implementation of public passenger transportation in urban areas on fixed and regular routes issued by the Indonesian Ministry of Transportation, Directorate General of Land Transportation (DLLAJ) and Vehicle Operating Cost Break Event Point (BOK BEP). The results of this study are that the number of city transportation vehicles on the Abdul Muis - Dago route using the DLLAJ method has decreased by up to 91% and using the BOK BEP method has decreased by 48%, the number of city transportation vehicles on the Abdul Muis - Cicaheum route using the DLLAJ method has decreased by 80%. and by using the BOK BEP method decreased by 43%, the number of city transportation vehicles on the Simple route - Cipagalo using the DLLAJ method decreased by 94% and using the BOK BEP method decreased by 41%.Keywords: transportation; city transport; DLLAJ; BOK BEP

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The Factors Influencing Satisfaction with Public City Transport: A Structural Equation Modelling Approach

Cited by 23 publications

References 6 publications

Service Quality and Passengers’ Loyalty of Public Transportation Companies

Service Quality and Passengers’ Loyalty of Public Transportation Companies

Factors Influencing Ridership Preference in Using LRT Service in Klang Valley, Malaysia

Analisis Jumlah Kendaraan Angkutan Kota Dengan Metode Headway Dllaj Dan Bok Bep Di Masa Pandemi Covid-19

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