Mobile Public Transportation Application: Factors Influencing Urban Rail Transit Passengers' Use

Authors

  • Saraswaty Nur Husnina Universiti Teknologi Malaysia
  • Safizahanin Mokhtar Universiti Teknologi Malaysia
  • Muhammad Zaly Shah Muhammad Hussein Universiti Teknologi Malaysia
  • Zuhra Junaida Mohamad Husny Hamid Universiti Teknologi Malaysia
  • Gobi Krishna Sinniah Universiti Teknologi Malaysia
  • Nabila Abdul Ghani Universiti Teknologi Malaysia

DOI:

https://doi.org/10.33736/jcshd.4395.2022

Keywords:

mobile public transportation application usage, urban mobility, urban rail transit

Abstract

This paper thoroughly explored and discussed the factors that affect Mobile Public Transportation Applications usage among urban rail transit passengers. To do so, a model known as the Unified Theory of Acceptance and Use of Technology (UTAUT) was chosen to determine the significant factors influencing mobile application usage among passengers in Klang Valley, Malaysia. During its primary data collection, an online survey was deployed to 109 passengers using an online survey platform. According to the modal split analysis, most female students and private-sector employees aged 18-29 years use the Mobile Public Transportation Application with route projection during an emergency, depending on the mobile application facilitating conditions. Moreover, based on the factors analysis' result, facilitating conditions are an essential factor compared to the other constructs. However, the study's findings might be biased towards a certain age and gender group due to its respondent reach. Therefore, an equal number of respondents in various age and gender groups is highly recommended for future research to fully grasp the factors that may affect passengers using the Mobile Public Transportation Application in urban mobility.

References

Altay, B. C., & Okumuş, A. (2021). User adoption of integrated mobility technologies: The case of multimodal trip-planning apps in Turkey. Research in Transportation Business & Management, 43, 100706. https://doi.org/10.1016/j.rtbm.2021.100706

Aziz, R. C., & Rahim, M. A. (2019). Behavioural Intention to Use Travel Mobile. February 2020, 9–16.

Bian, J., Li, W., Zhong, S., Lee, C., Foster, M., & Ye, X. (2022). The end-user benefits of smartphone transit apps: a systematic literature review. Transport Reviews, 42(1), 82–101. https://doi.org/10.1080/01441647.2021.1950864

Chen, O. B., & Shafinaz Ahmad Nazar. (2021). Exploring Factors Influencing E-Hailing Services in Klang Valley, Malaysia. International Journal of Business and Economy, 3, 32–46.

Crowson, M. (2020). Hierarchical multiple regression using SPSS (February 2020). Retrieved from https://www.youtube.com/watch?v=RyDteu6E7HY&ab_channel=MikeCrowson

Goal 11 | Department of Economic and Social Affairs. (n.d.). United Nations. Retrieved June 13, 2021, from https://sdgs.un.org/goals/goal11

Kang, S. (2014). Factors influencing intention of mobile application use. International Journal of Mobile Communications, 12(4), 360-379. https://doi.org/10.1504/IJMC.2014.063653

Khoo, H. L., Low, Y. C., & Lee, A. S. H. (2022). User Mode Choice Behavior in Public Transportation: A Systematic Literature Review. Journal of Engineering, 34(1), 11–28. https://doi.org/10.17576/jkukm-2022-34(1)-02

Madhuwanthi, R. A. M., Marasinghe, A., Rajapakse, R. P. C. J., Dharmawansa, A. D., & Nomura, S. (2016). Factors Influencing to Travel Behavior on Transport Mode Choice. International Journal of Affective Engineering, 15(2), 63-72. https://doi.org/10.5057/ijae.ijae-d-15-00044

Madigan, R., Louw, T., Wilbrink, M., Schieben, A., & Merat, N. (2017). What influences the decision to use automated public transport? Using UTAUT to understand public acceptance of automated road transport systems. Transportation Research Part F: Traffic Psychology and Behaviour, 50, 55-64. https://doi.org/10.1016/j.trf.2017.07.007

Matyas, M. (2020). Opportunities and barriers to multimodal cities: lessons learned from in-depth interviews about attitudes towards mobility as a service. European Transport Research Review, 12(1), 7. https://doi.org/10.1186/s12544-020-0395-z

Ministry of Transportation (Malaysia). (2019). Bilangan penumpang bagi perkhidmatan pengangkutan Rel, 2019 [Number of passengers for rail transport services, 2019]. In Statistik Rel 2019. https://www.mot.gov.my/en/Statistik Rel/2019 4 - SUKU IV 2019/Jadual 2.9 Q4 2019.pdf

Moovit Public Transit Index. (n.d.). Moovit Insights. Retrieved June 13, 2021, from https://moovitapp.com/insights/en/Moovit_Insights_Public_Transit_Index-countries

Ortuzar, J. de D., & Willumsen, L. G. (2006). Modelling Transport (Third). John Wiley & Sons, LTD.

Prasarana. (2020). Pulse by Prasarana. IOS App Store. Retrieved from https://apps.apple.com/my/app/pulse-by-prasarana/id1545938705#see-all/reviews

Santoso, B. S., & Siregar, S. L. (2018). Factors affecting use behavior to use transportation services applications using Unified Theory of Acceptance and Use of Technology (UTAUT) 2 model. Jurnal Ilmiah Informatika Komputer, 23(2), 80–94. https://doi.org/10.35760/ik.2018.v23i2.2350

Shaheen, S., Martin, E., Cohen, A., Musunuri, A., & Bhattacharyya, A. (2016). Mobile Apps and Transportation: A Review of Smartphone Apps and A Study of User Response to Multimodal Traveler Information. Retrieved from https://escholarship.org/uc/item/6m332192

Siuhi, S., & Mwakalonge, J. (2016). Opportunities and challenges of smart mobile applications in transportation. Journal of Traffic and Transportation Engineering (English Edition), 3(6), 582–592. https://doi.org/10.1016/j.jtte.2016.11.001

Sun, Y., Liu, C., & Zhang, C. (2021). Mobile technology and studies on transport behavior: A literature analysis, integrated research model, and future research agenda. Mobile Information Systems, 2021, 1–24. https://doi.org/10.1155/2021/9309904

Travel Forecasting. (2022). Mode Choice. Travel Behaviour. Retrieved from https://tfresource.org/topics/Mode_choice.html

Venkatesh, Morris, Davis, & Davis. (2003). User acceptance of information technology: toward a unified view. MIS Quarterly, 27(3), 425. https://doi.org/10.2307/30036540

Watkins, M. W. (2018). Exploratory factor analysis: A guide to best practice. Journal of Black Psychology, 44(3), 219–246. https://doi.org/10.1177/0095798418771807

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Published

2022-09-30

How to Cite

Husnina, S. N., Mokhtar, S., Muhammad Hussein, M. Z. S., Mohamad Husny Hamid, Z. J., Sinniah, G. K., & Abdul Ghani, N. (2022). Mobile Public Transportation Application: Factors Influencing Urban Rail Transit Passengers’ Use. Journal of Cognitive Sciences and Human Development, 8(2), 179–198. https://doi.org/10.33736/jcshd.4395.2022

Issue

Vol. 8 No. 2 (2022): Journal of Cognitive Sciences and Human Development

Section

Articles

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