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Travelers’ Attitudes Toward Mobile Application–Based Public Transport Services in Lahore

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  • Muhammad Ashraf Javid
  • Nazam Ali
  • Syed Arif Hussain Shah
  • Muhammad Abdullah

Abstract

Many cities in developing countries are facing challenges of providing quality public transport facilities to the public. The demand-responsive transport (DRT) initiatives in some cities have helped in providing transportation alternatives to the travelers, and in filling the gap between demand and supply. Recently introduced DRT initiatives in Lahore included the mobile app-based Airlift and Swvl bus services. This article is aimed at evaluating the travelers’ attitudes toward mobile application (app)–based DRT services in Lahore with the help of a questionnaire survey. A questionnaire was designed consisting of travelers’ personal and travel information and their perceptions on selected attributes of Airlift and Swvl bus services. A total of 440 samples were collected through interviews. An exploratory factor analysis (EFA) revealed three factors of service quality, that is, Accessibility and Scheduling Attributes (ASA), Instrumental Attributes (IA), and Service Attraction Attributes (SAA). The results of Structural Equation Modeling (SEM) showed that the ASA, IA, and SAA are significant determinants of travelers’ attitudes toward the existence of Airlift and Swvl bus services in Lahore. These factors have strong correlations with travelers’ intentions to use Airlift and Swvl services in the future. The waiting time at a stop, travelers’ income, vehicle ownership, trip purpose, and profession are also significant in determining the travelers’ attitudes and preferences with app-based public transport services. These findings would be helpful for the service providers and transport planners for making appropriate policies to improve the quality of these services.

Suggested Citation

  • Muhammad Ashraf Javid & Nazam Ali & Syed Arif Hussain Shah & Muhammad Abdullah, 2021. "Travelers’ Attitudes Toward Mobile Application–Based Public Transport Services in Lahore," SAGE Open, , vol. 11(1), pages 21582440209, January.
    • Handle: RePEc:sae:sagope:v:11:y:2021:i:1:p:2158244020988709
    DOI: 10.1177/2158244020988709
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    Cited by:

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    2. Mirela-Catrinel Voicu & Adina Bărbulescu & Denisa Abrudan, 2022. "On a City Guide App Model," Sustainability, MDPI, vol. 14(23), pages 1-17, November.
    3. Yulong Pei & Songmin Ran & Wanjiao Wang & Chuntong Dong, 2023. "Bus-Passenger-Flow Prediction Model Based on WPD, Attention Mechanism, and Bi-LSTM," Sustainability, MDPI, vol. 15(20), pages 1-20, October.
    4. Katarzyna Solecka & Marcin Kiciński, 2022. "A Multi-Criteria Evaluation of Applications Supporting Public Transport Users," Energies, MDPI, vol. 15(10), pages 1-25, May.
    5. Junyong Jang & Yongbin Cho & Juntae Park, 2024. "Bus Route Sketching: A Multimetric Analysis from the User’s and Operator’s Perspectives," Sustainability, MDPI, vol. 16(16), pages 1-19, August.
    6. Shaghayegh Rahnama & Adriana Cortez & Andres Monzon, 2024. "Navigating Passenger Satisfaction: A Structural Equation Modeling–Artificial Neural Network Approach to Intercity Bus Services," Sustainability, MDPI, vol. 16(11), pages 1-33, May.

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