Skip to main content

Passenger Characteristics and Service Factors Associated with Passenger Perception of Public Transport on the Tanjung Karang–Teluk Betung Route, Bandar Lampung, Indonesia

Author(s): Satrio Wicaksono , Fery Hendi Jaya
Author(s) information:
Program Studi Teknik Sipil, Universitas Sang Bumi Ruwa Jurai, Bandar Lampung, Lampung, Indonesia

Corresponding author

Urban public transportation plays an important role in supporting daily mobility, particularly for communities that rely on affordable and accessible transport services. However, passenger perceptions of public transportation may vary depending on socioeconomic characteristics and perceived service quality. This study examines passenger characteristics and identifies service-related factors associated with passenger perceptions of public transportation along the Tanjung Karang–Teluk Betung route in Bandar Lampung, Indonesia. A field survey was conducted from 10 to 25 June 2026 using a structured questionnaire administered to 100 public transport passengers. Respondents were recruited at and around Pasar Bawah Terminal and along the study route on selected weekdays and Sundays between 06:00 and 18:00. Descriptive statistics were used to characterize passenger demographics and travel patterns, while multiple linear regression was employed to examine the associations between passenger perceptions and eight service-related variables: fare affordability, ease of accessing public transport, waiting time, safety, comfort, service quality, service availability, and vehicle suitability. The regression model yielded an R² of 0.925 and an adjusted R² of 0.918, indicating that the eight variables collectively explained 92.5% of the variation in passenger perceptions. Fare affordability, waiting time, safety, comfort, service quality, service availability, and vehicle suitability were statistically significantly associated with passenger perceptions, whereas ease of accessing public transport was not statistically significant. The study provides route-specific empirical evidence on passenger characteristics and the service attributes influencing perceptions of conventional urban public transportation in Indonesia. The findings suggest that maintaining affordable fares should be complemented by improvements in service reliability, safety, comfort, service quality, and vehicle condition to enhance the attractiveness and continued use of public transportation in Bandar Lampung.

Abdullah, M.; Ali, N.; Hussain, S.A.; Aslam, A.B.; Javid, M.A. (2021). Measuring changes in travel behavior pattern due to COVID-19 in a developing country: A case study of Pakistan. Transport Policy, 108, 21‒33. https://doi.org/10.1016/j.tranpol.2021.04.023.

Abdullah, M.; Ali, N.; Javid, M.A.; Dias, C.; Campisi, T. (2021). Public transport versus solo travel mode choices during the COVID-19 pandemic: Self-reported evidence from a developing country. Transportation Engineering, 5, 100078. https://doi.org/10.1016/j.treng.2021.100078.

Abdullah, M.; Ali, N.; Aslam, A.B.; Javid, M.A.; Hussain, S.A. (2022). Factors affecting the mode choice behavior before and during COVID-19 pandemic in Pakistan. International Journal of Transportation Science and Technology, 11, 174‒186. https://doi.org/10.1016/j.ijtst.2021.06.005.

Gandhi, S.; Tiwari, G. (2021). Sociopsychological, instrumental, and sociodemographic determinants of travel mode choice behavior in Delhi, India. Journal of Urban Planning and Development, 147, 04021028. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000710.

AlQuhtani, S. (2022). Commuting mode choice of suburban university population and potential sustainable transportation systems: The case of Najran University. Journal of Urban Planning and Development, 148, 05022001. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000805.

Bastarianto, F.F.; Irawan, M.Z.; Choudhury, C.; Palma, D.; Muthohar, I. (2019). A tour-based mode choice model for commuters in Indonesia. Sustainability, 11, 788. https://doi.org/10.3390/su11030788.

Algers, S.; Hansen, S.; Tegner, G. (1975). Role of waiting time, comfort, and convenience in modal choice for work trip. Transportation Research Record, 534, 38‒51.

Azimi, G.; Rahimi, A.; Lee, M.; Jin, X. (2021). Mode choice behavior for access and egress connection to transit services. International Journal of Transportation Science and Technology, 10, 136‒155. https://doi.org/10.1016/j.ijtst.2020.11.004.

Cheng, L.; Chen, X.; De Vos, J.; Lai, X.; Witlox, F. (2019). Applying a random forest method approach to model travel mode choice behavior. Travel Behaviour and Society, 14, 1‒10. https://doi.org/10.1016/j.tbs.2018.09.002.

De Oña, J.; de Oña, R.; Eboli, L.; Forciniti, C.; Mazzulla, G. (2016). Transit passengers’ behavioural intentions: The influence of service quality and customer satisfaction. Transportmetrica A: Transport Science, 12, 385‒412. https://doi.org/10.1080/23249935.2016.1146365.

Ho, G.W. (2017). Examining perceptions and attitudes: A review of Likert-type scales versus Q-methodology. Western Journal of Nursing Research, 39, 674‒689. https://doi.org/10.1177/0193945916661302.

Mwale, M.; Luke, R.; Pisa, N. (2022). Factors that affect travel behaviour in developing cities: A methodological review. Transportation Research Interdisciplinary Perspectives, 16, 100683. https://doi.org/10.1016/j.trip.2022.100683.

Irfan, M.; Khurshid, A.N.; Khurshid, M.B.; Ali, Y.; Khattak, A. (2018). Policy implications of work-trip mode choice using econometric modeling. Journal of Transportation Engineering, Part A: Systems, 144, 04018035. https://doi.org/10.1061/JTEPBS.0000158.

Greene, W.H.; Hensher, D.A. (2003). A latent class model for discrete choice analysis: Contrasts with mixed logit. Transportation Research Part B: Methodological, 37, 681‒698. https://doi.org/10.1016/S0191-2615(02)00046-2.

Hörcher, D.; Tirachini, A. (2021). A review of public transport economics. Economics of Transportation, 25, 100196. https://doi.org/10.1016/j.ecotra.2021.100196.

Ali, N.; Javid, M.A.; Rahim, A. (2020). Predicting transit mode choice behavior from parents’ perspectives: A case study in Lahore, Pakistan. Jordan Journal of Civil Engineering, 14, 476‒489.

Li, L.; Wang, S.; Li, M.; Tan, J. (2018). Comparison of travel mode choice between taxi and subway regarding traveling convenience. Tsinghua Science and Technology, 23, 135‒144. https://doi.org/10.26599/TST.2018.9010059.

Guo, Y.; Peeta, S. (2020). Impacts of personalized accessibility information on residential location choice and travel behavior. Travel Behaviour and Society, 19, 99‒111. https://doi.org/10.1016/j.tbs.2019.12.007.

Aminzadegan, S.; Shahriari, M.; Mehranfar, F.; Abramović, B. (2022). Factors affecting the emission of pollutants in different types of transportation: A literature review. Energy Reports, 8, 2508‒2529. https://doi.org/10.1016/j.egyr.2022.01.161.

Jain, S.; Aggarwal, P.; Kumar, P.; Singhal, S.; Sharma, P. (2014). Identifying public preferences using multi-criteria decision making for assessing the shift of urban commuters from private to public transport: A case study of Delhi. Transportation Research Part F: Traffic Psychology and Behaviour, 24, 60‒70. https://doi.org/10.1016/j.trf.2014.03.007.

Kunhikrishnan, P.; Srinivasan, K.K. (2018). Investigating behavioral differences in the choice of distinct intermediate public transport modes for work trips in Chennai city. Transport Policy, 61, 111‒122. https://doi.org/10.1016/j.tranpol.2017.10.006.

Ali, N.; Sagmanli, S.S.; Dadashzadeh, N.; Ouelhadj, D. (2025). Modelling the mode choice behaviour of Mobility-as-a-Service (MaaS) users in the Solent of the UK. Transportation Research Interdisciplinary Perspectives, 29, 101335.

About this article

SUBMITTED: 13 September 2026
ACCEPTED: 11 October 2026
PUBLISHED: 16 October 2026
SUBMITTED to ACCEPTED: 28 days
DOI: https://doi.org/10.53623/csue.v6i2.1418

Cite this article
Wicaksono, S. ., & Fery Hendi Jaya. (2026). Passenger Characteristics and Service Factors Associated with Passenger Perception of Public Transport on the Tanjung Karang–Teluk Betung Route, Bandar Lampung, Indonesia. Civil and Sustainable Urban Engineering, 6(2), 323–341. https://doi.org/10.53623/csue.v6i2.1418
Citations
0
Share this article