Investigating the Key Factors Affecting Public Transport Ridership in Developing Countries through Structural Equation Modeling

Mudassir Ahmad, Izza Anwer (), Muhammad Irfan Yousuf, Muhammad Ashraf Javid, Nazam Ali, Giovanni Tesoriere and Tiziana Campisi ()
Additional contact information
Mudassir Ahmad: Department of Transportation Engineering and Management, University of Engineering and Technology Lahore, Lahore 54890, Pakistan
Izza Anwer: Department of Transportation Engineering and Management, University of Engineering and Technology Lahore, Lahore 54890, Pakistan
Muhammad Irfan Yousuf: Department of Computer Science, University of Engineering and Technology Lahore, Lahore 54890, Pakistan
Muhammad Ashraf Javid: Faculty of Engineering, Sohar University, Sohar 311, Oman
Nazam Ali: Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong 999077, China
Giovanni Tesoriere: Department of Engineering and Architecture, University of Enna Kore, 94100 Enna, Italy
Tiziana Campisi: Department of Engineering and Architecture, University of Enna Kore, 94100 Enna, Italy

Sustainability, 2024, vol. 16, issue 11, 1-25

Abstract: Every country requires efficient public transportation to reduce the reliance on motor vehicles, decrease harmful emissions and noise pollution, and, most importantly, provide accessible transportation for urban populations with limited resources. Yet, several challenges hinder the efficiency of the public transportation system, affecting factors like daily ridership, infrastructure, revenue, and operations. Therefore, this research investigated barriers and their impact on the daily ridership of rail transit services, especially in densely populated areas characterized by high automobile usage, inadequate pedestrian facilities, and limited connectivity to other transportation modes. To accomplish this goal, a self-administered questionnaire was developed, and a survey was conducted to collect responses from commuters at various public transport hubs. Structural equation modeling (SEM) was used to analyze data gathered from a sample of 1000 participants. The findings from the SEM model indicated a positive correlation between Instrumental Attractiveness (IA) and Facility Design and Operation (FDO) with daily travel. Conversely, Service and Information (SI) along with Environmental Comfort (EC) exhibited a negative correlation with daily travel. Private sector employees without personal vehicles and a monthly income below fifty thousand exhibited a strong preference for public transport. Individuals with higher incomes who owned vehicles showed lower preferences towards public transport usage. The main contributors to low ridership in public transport included poor connectivity with metro and feeder buses, lack of availability of discount tickets, insufficient seating at stations, and inadequate route map information. Gasoline prices have a notable impact on daily ridership too, as higher fuel prices tend to attract more travelers to use public transport. The ridership data demonstrate a positive trend in response to increased gasoline prices. The findings from this study are useful for transportation engineers, practitioners, planners, and policymakers.

Keywords: mass transit service; public transport; structural equation modelling; travel behavior (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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