scholarly journals Gender and Age Do Matter: Exploring the Effect of Passengers’ Gender and Age on the Perception of Light Rail Transit Service Quality in Kuala Lumpur, Malaysia

2021 ◽  
Vol 13 (2) ◽  
pp. 990
Author(s):  
Ahmad Nazrul Hakimi Ibrahim ◽  
Muhamad Nazri Borhan ◽  
Nur Izzi Md. Yusoff ◽  
Amiruddin Ismail ◽  
Muhamad Razuhanafi Mat Yazid ◽  
...  
Keyword(s):  
Service Quality ◽  
Public Transportation ◽  
Service Providers ◽  
Sustainable Transportation ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Kuala Lumpur ◽  
Passenger Satisfaction ◽  
Gender And Age

Light rail transit (LRT) is a sustainable transportation mode that ensures sustainable environmental, economic, and social development. Generally, the rate of public transportation usage in many parts of the world remains low compared to private vehicles. There is a need to understand passengers’ perception of public transportation service quality to enhance passenger satisfaction and increase ridership. Thus, this study used the Kuala Lumpur LRT service as a case study to investigate the effect of a passenger’s gender and age on their perception of the LRT service quality and their overall satisfaction. This survey involved 417 respondents. The outcome of factor analysis indicated that eight factors—i.e., signage, comfort, speediness, safety, ticketing service, facilities, staff service, and provision of information—influenced passenger satisfaction. The results of the Mann–Whitney U test and Kruskal–Wallis test indicated that the factors influencing passenger satisfaction significantly varied across a passenger’s gender and age. A more in-depth and comprehensive analysis using the ordered logit model and segmentation approach proved that provision of information, comfort, staff service, and facilities were critical determiners of passenger satisfaction in most segments. Safety factors and ticketing services had no impact on overall passenger satisfaction. The findings of this research could help LRT service providers, researchers, and policymakers formulate effective strategies for enhancing passenger satisfaction and increase the ridership for LRT services.

scholarly journals Factors Influencing Passengers’ Satisfaction with the Light Rail Transit Service in Alpha Cities: Evidence from Kuala Lumpur, Malaysia Using Structural Equation Modelling

Mathematics ◽  
2021 ◽  
Vol 9 (16) ◽  
pp. 1954
Author(s):  
Ahmad Nazrul Hakimi Ibrahim ◽  
Muhamad Nazri Borhan ◽  
Muhamad Razuhanafi Mat Yazid ◽  
Riza Atiq Rahmat ◽  
Sotaro Yukawa
Keyword(s):  
Structural Equation ◽  
Service Providers ◽  
Perceived Value ◽  
Perceived Quality ◽  
Light Rail ◽  
Rail Transit ◽  
Kuala Lumpur ◽  
Policy Makers ◽  
Effective Strategies ◽  
Passenger Satisfaction

Policy makers and service providers must have a good understanding of the determinants of passengers’ satisfaction with light rail transit (LRT) in order to be able to formulate effective strategies that ensure passenger satisfaction, which would in turn help to retain existing passengers and attract new ones. This is seen as the most important determinant of the long-term financial performance of LRT service. In this context, the present study seeks to establish the influence of passenger expectation, perceived quality and perceived value on their satisfaction with the service provided. A total of 417 responses from a self-administrated questionnaire were collected from LRT passengers in Kuala Lumpur, Malaysia. The proposed model was tested using a structural equation model. The results proved the significant and direct effect of perceived quality and perceived value on passenger satisfaction. Of the factors, perceived quality is the most critical construct determining the satisfaction level of LRT passengers. The present study concludes by deriving the theoretical and managerial implications on the field of transport. This study provides beneficial information which helps service providers, authorities, policy makers, planners, and researchers formulate effective strategies to increase the use of LRT service, especially in Kuala Lumpur, Malaysia, and other alpha and metropolitan cities in general.

scholarly journals Service Quality of Addis Ababa Light Rail Transit: Passengers’ Views and Perspectives

2020 ◽  
Vol 6 (4) ◽  
pp. 231-243
Author(s):  
Adane Obsie ◽  
Mintesnot Woldeamanuel ◽  
Berhanu Woldetensae
Keyword(s):  
Factor Analysis ◽  
Service Quality ◽  
User Satisfaction ◽  
Local Governments ◽  
Service Providers ◽  
Addis Ababa ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit

AbstractUnderstanding the service quality of public transportation based on users’ perception is an important input for local governments and transit service providers in their planning efforts to improve system performance. Using the Addis Ababa Light Rail Transit (AALRT) as a case, this study aims to examine service users' views and perspectives by using 18 quality attributes. Factor analysis and ordered logit model were employed for this study. Factor analysis with principal components was used to extract the most important factors of satisfaction from the 18 attributes. The results showed that safety and security, ticketing system, travel information, crowdedness, frequency, cleanliness, and comfort are the most important factors influencing user satisfaction. The level of importance of these factors varies depending on different socioeconomic and travel characteristics of AALRT users. Riders who use the light rail at afternoon peak hours, have high household income and short travel duration, and use LRT for shopping purposes have a negative perception regarding the crowdedness, frequency, ticketing, and information system of the AALRT. Passengers with longer travel distance, those who use the AALRT frequently, and full- or part-time workers and students have a positive perception towards several attributes of the system.

scholarly journals Sex Disparity in Satisfaction and Loyalty towards Urban Rail Transit: A Survey of Light Rail Transit (LRT) Passengers in Kuala Lumpur, Malaysia

2021 ◽  
Vol 13 (3) ◽  
Author(s):  
Ahmad Nazrul Hakimi Ibrahim ◽  
◽  
Muhamad Nazri Borhan ◽  
Keyword(s):  
Urban Rail Transit ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Kuala Lumpur ◽  
Correlation Test ◽  
Passenger Satisfaction ◽  
Significant Difference ◽  
Sex Disparity ◽  
Spearman’S Correlation

The aim of this study is to explore the effect of sex disparity on passenger satisfaction and loyalty to the light rail transit (LRT) services in Kuala Lumpur, Malaysia. A total of 417 responses from a self-administrated questionnaire were analyzed using non-parametric tests, namely Mann-Whitney U test and Spearman’s correlation test. Based on the Mann-Whitney U test, results showed a significant difference between male and female LRT passengers in terms of their satisfaction and loyalty. In addition, the Spearman’s correlation test proved a significant and positive relationship between passengers’ sex, satisfaction and loyalty. Finally, future suggestions were made based on the findings reported in this study.

scholarly journals Understanding People’s Acceptance of Light Rail Transit in Bandung and Its Determinant Factors

2019 ◽  
Vol 10 (3) ◽  
pp. 201-209
Author(s):  
Raisha Shadrina ◽  
Yuliani Dwi Lestari
Keyword(s):  
Public Transportation ◽  
Sustainable Transportation ◽  
Light Rail ◽  
Rail Transit ◽  
Successful Implementation ◽  
Survey Questionnaire ◽  
Current Transport ◽  
Light Rail Transit ◽  
Determinant Factors ◽  
Home Location

The aim of this research was to verify the readiness of Bandung people in accepting Light Rail Transit (LRT) as the new transport option. Through a survey questionnaire with various respondent backgrounds, the researchers applied statistical analysis using ANOVA to compare the acceptance between the group of gender, age, occupation, income, home location, mobility pattern, and current transport. As the extension, the research also explored the factor determining people’s priority in choosing transport and showing attributes (comfort, security and safety, exclusivity, time travel, cost, flexibility, facility, and accessibility). The result reveals that there are no differences between-group comparisons in accepting LRT as the new transport. In analyzing the determinant factors, the result shows that passengers tend to value security and comfort for their daily activities in choosing public transportation. Meanwhile, the exclusivity and facility are considered undesirable for passengers in deciding to take public transportation for travel. LRT is considered as a mode transport that provides sustainable transportation value. The readiness of passenger and market environment to the sustainable transportation option is important to maintain the successful implementation of the LRT project in Bandung.

Estimation of the Environmental Load Caused by Introducing Light Rail Transit Using an Urban Transportation Simulator

2013 ◽  
Vol 295-298 ◽  
pp. 669-672
Author(s):  
Nozomi Kudo ◽  
Hideo Nakamura
Keyword(s):  
Public Transportation ◽  
Urban Transportation ◽  
Light Rail ◽  
Rail Transit ◽  
Environmental Load ◽  
Light Rail Transit ◽  
Low Carbon ◽  
Modal Shift

A modal shift from automobiles is imperative in the transportation field for realizing a low-carbon society. We have developed a simulator that can quantitatively assess the effect of a modal shift by simulating track-based public transportation, such as LRT (Light Rail Transit), and automobile transportation. This paper presents an example in which we used the simulator to calculate the effect in a case where track-based transportation is implemented.

scholarly journals The effect of service attributes’ hierarchy on passengers’ segmentation. A light rail transit service case study

2016 ◽  
Author(s):  
Francisco Javier Diez de los Rios Mesa ◽  
Rocío De Oña López ◽  
Juan De Oña López
Keyword(s):  
Service Quality ◽  
Clustering Algorithm ◽  
Latent Class ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Quality Factors ◽  
Analytical Technique ◽  
Transit Service ◽  
Satisfaction Rates

Market segmentation can help transit operators to identify groups of passengers that share particular characteristics and specific needs and requirements about the service. Traditionally, socioeconomic variables have been used to perform a simple segmentation, although satisfaction rates about service attributes were not similar among individuals belonging to a group. Cluster analysis emerges as a novel analytical technique for extracting passengers’ profiles. This paper investigates passengers’ profiles at the metropolitan Light Rail Transit service of Seville (Spain). Latent Class Clustering algorithm is applied and satisfaction rates about different service quality attributes are considered for the segmentation. Particularly, two different cluster analyses are accomplished: first level, with only socioeconomic attributes; and second level, with eight service quality factors and socioeconomic attributes. The service quality factors are obtained through a principal component analysis, at which, the large number of attributes describing the service is reduced into constructs underlying them. Equivalent satisfaction rates are calculated for these service factors. Then, homogeneous groups of passengers are obtained. Additionally, the main differences among cluster are identified.DOI: http://dx.doi.org/10.4995/CIT2016.2016.3844

scholarly journals Passenger Flows Estimation of Light Rail Transit (LRT) System in Izmir, Turkey Using Multiple Regression and ANN Methods

1970 ◽  
Vol 24 (1) ◽  
pp. 1-14
Author(s):  
Mustafa Özuysal ◽  
Gökmen Tayfur ◽  
Serhan Tanyel
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Multiple Regression ◽  
Public Transportation ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Passenger Flow ◽  
Feed Forward Back Propagation ◽  
Artificial Neural

Passenger flow estimation of transit systems is essential for new decisions about additional facilities and feeder lines. For increasing the efficiency of an existing transit line, stations which are insufficient for trip production and attraction should be examined first. Such investigation supports decisions for feeder line projects which may seem necessary or futile according to the findings. In this study, passenger flow of a light rail transit (LRT) system in Izmir, Turkey is estimated by using multiple regression and feed-forward back-propagation type of artificial neural networks (ANN). The number of alighting passengers at each station is estimated as a function of boarding passengers from other stations. It is found that ANN approach produced significantly better estimations specifically for the low passenger attractive stations. In addition, ANN is found to be more capable for the determination of trip-attractive parts of LRT lines.   Keywords: light rail transit, multiple regression, artificial neural networks, public transportation

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