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A Citizen Centered Perspective on Smart Mobility: Identifying Key Factors through the Technology Acceptance Model

Authors

  • Aqsa Mehmood

    Institute of Geographical Information Systems (IGIS), National University of Science and Technology (NUST), Islamabad, Pakistan
    Author

  • Ali Tahir

    Institute of Geographical Information Systems (IGIS), National University of Science and Technology (NUST), Islamabad, Pakistan
    Author

  • Salman Atif

    Institute of Geographical Information Systems (IGIS), National University of Science and Technology (NUST), Islambad, Pakistan
    Author

  • Ejaz Hussain

    Institute of Geographical Information Systems (IGIS), National University of Science and Technology (NUST), Islamabad, Pakistan
    Author

  • Farrukh Baig

    Interdisciplinary Research Center for Sustainable Energy Systems (IRC-SES), King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia
    Author

  • Hafiz Syed Hamid Arshad

    Department of City and Regional Planning, University of Management and Technology (UMT), Lahore, Pakistan
    Author

DOI:

https://doi.org/10.22581/muet1982.0471

Keywords:

Smart Citizens, TAM, Transport Apps, Smart Mobility Services, Smart Transportation System

Abstract

Smart cities are increasingly leveraging technology to improve urban living and meet the growing demands of their populations. The adoption of innovative technologies, such as mobile-based smart urban mobility services, plays a pivotal role in this transformation. This research aims to apply the Technology Acceptance Model (TAM) to examine the key factors influencing citizens' intentions to adopt mobile-based mobility service apps in Lahore, Pakistan. A paper-based survey was conducted across six neighborhoods representing high-, medium-, and low-income groups, yielding 500 responses. Structural Equation Modelling (SEM) via SmartPLS4 indicates that Perceived Usefulness, Perceived Ease of Use, Habit, and Perceived Security Risk collectively explain 74.7% (R2 = 0.747) of user intention of citizens to adopt Smart Mobility Services (e.g., Mobile Application-based ride hailing) with all paths statistically significant (p < 0.001). Furthermore, the relationships among the variables have been explained using structural equation modelling (SEM). Based on these findings, this study provides valuable insights into the proposed approach to build smart citizens and increase well-being and quality of life. Findings provide useful insights for developing marketing strategies to improve the uptake of mobile-based mobility service applications among citizens.

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References

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Published

2026-07-01

Issue

Vol. 45 No. 3 (2026): July Issue

Section

Articles

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Copyright (c) 2026 Mehran University Research Journal of Engineering and Technology

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How to Cite

A Citizen Centered Perspective on Smart Mobility: Identifying Key Factors through the Technology Acceptance Model. (2026). Mehran University Research Journal of Engineering and Technology, 45(3), 25-36. https://doi.org/10.22581/muet1982.0471

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