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Jurnal Transportasi, Logistik, dan Aviasi Abnus Publisher

Culture-Based Factors Influencing Public Transportation Use: An Extended Theory of Planned Behavior

2024-01-30
Published
117-126
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OPEN
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Prima Widiyanto
Trisakti Institute of Transportation and Logistics, Jakarta, Indonesia
Abstract

Purpose: This study proposes a conceptual model to explain Indonesian public transportation use intention by adding culture-based variables to the TPB framework using a SOR approach.

Research Methodology: A qualitative systematic literature review with comparative analysis was conducted, reviewing twelve empirical TPB-based public transportation studies. A bibliometric meta-analysis of 275 articles using the keyword “cultural public transportation” highlighted the scarcity of culture-integrated studies.

Results: The review indicates contradictory findings in previous TPB studies, particularly for subjective norms, descriptive norms, and perceived behavioral control. None incorporated Hofstede’s cultural dimensions as explanatory variables. The meta-analysis confirms that cultural aspects are rarely considered in public transportation research. Based on these gaps, a conceptual model is proposed where culture-based public transportation functions as a SOR stimulus, shaping attitudes, subjective norms, and perceived behavioral control, which in turn determine use intention.

Conclusions: Culture-based public transportation provides a theoretically coherent and empirically unaddressed extension of TPB for Indonesia’s multicultural context. The model introduces a culturally sensitive demand-side stimulus to improve system design and strengthen behavioral intention formation mechanisms.

Limitations: The study is conceptual and does not empirically test the proposed model; hypotheses require validation through surveys with culturally diverse Indonesian users.

Contributions: This research contributes to transportation behavior theory and urban mobility policy by proposing the first integrated culture-TPB-SOR model, defining culture-based public transportation constructs, and generating a seven-hypothesis agenda for empirical testing.

Culture-Based Public Transportation Hofstede Cultural Dimensions Public Transportation Intention SOR Model Theory of Planned Behavior
How to Cite
Widiyanto, P. (2024). Culture-Based Factors Influencing Public Transportation Use: An Extended Theory of Planned Behavior. Jurnal Transportasi, Logistik, Dan Aviasi, 3(2), 117-126. https://doi.org/10.52909/jtla.v3i2.260
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References
  1. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
  2. Al-Mohannadi, M., Awwaad, R., Furlan, R., Grosvald, M., Al-Matwi, R., & Isaifan, R. J. (2023). Sustainable status assessment of the transit-oriented development in Doha’s Education City. Sustainability, 15(3), 1913. https://doi.org/10.3390/su15031913
  3. Ambak, K., Kasvar, K. K., Daniel, B. D., Prasetijo, J., & Abd Ghani, A. R. (2016). Behavioral intention to use public transport based on theory of planned behavior. MATEC Web of Conferences, 47, 03008. https://doi.org/10.1051/matecconf/20164703008
  4. American Public Transportation Association. (2007). Public transportation: Benefits for the 21st century [APTA].
  5. Arimbawa, I. K., & Suryawan, R. F. (2022). Role of operations officers in enhancing on-time delivery performance at Lion Parcel Jakarta: A review. Jurnal Transportasi, Logistik, dan Aviasi, 2(1), 24–36. https://doi.org/10.52909/jtla.v2i1.94
  6. Austin, E., Ward, N., Otto, J., Green, K., & Watson, H. (2022). Assessing the impact of culture: A systematic analysis of culture-based interventions and evaluations. Frontiers in Future Transportation, 3, 917915. https://doi.org/10.3389/ffutr.2022.917915
  7. Badan Pusat Statistik. (2020). Jumlah kendaraan bermotor di Indonesia.
  8. Badan Pusat Statistik. (2022). Penduduk Indonesia 2022.
  9. Bamberg, S., Ajzen, I., & Schmidt, P. (2007). Choice of travel mode in the theory of planned behavior: The roles of past behavior, habit, and reasoned action. Basic and Applied Social Psychology, 29(4), 374–387. https://doi.org/10.1080/01973530701641749
  10. Barbera, F. L., & Ajzen, I. (2020). Control interactions in the theory of planned behavior: Rethinking the role of subjective norm. Europe’s Journal of Psychology, 16(3), 401. https://doi.org/10.1002/jts5.83
  11. Bosnjak, M., Ajzen, I., & Schmidt, P. (2020). The theory of planned behavior: Selected recent advances and applications. Europe’s Journal of Psychology, 16(3), 352. https://doi.org/10.5964/ejop.v16i3.3107
  12. Chen, C.-F., & Chao, W.-H. (2011). Habitual or reasoned? Using the theory of planned behavior, technology acceptance model, and habit to examine switching intentions toward public transit. Transportation Research Part F: Traffic Psychology and Behaviour, 14(2), 128–137. https://doi.org/10.1016/j.trf.2010.11.006
  13. Creswell, M. (2020). Sawyer’s theory of social causation: A critique. Philosophy of the Social Sciences.
  14. Donald, I. J., Cooper, S. R., & Conchie, S. M. (2014). An extended theory of planned behaviour model of the psychological factors affecting commuters’ transport mode use. Journal of Environmental Psychology, 40, 39–48. https://doi.org/10.1016/j.jenvp.2014.03.003
  15. Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Harcourt Brace Jovanovich.
  16. Eriksson, L., & Forward, S. E. (2011). Is the intention to travel in an environmentally friendly way determined by moral norms or economic motives? Transportation Research Part F: Traffic Psychology and Behaviour, 14(3), 147–158.
  17. Fu, X., & Juan, Z. (2017). Exploring the psychosocial factors associated with public transportation usage and examining the ’gendered’ difference. Transportation Research Part A: Policy and Practice, 103, 70–82. https://doi.org/10.1016/j.tra.2017.05.017
  18. Hagger, M. S., Cheung, M. W. L., Ajzen, I., & Hamilton, K. (2022). Perceived behavioral control moderating effects in the theory of planned behavior: A meta-analysis. Health Psychology, 41(2), 155. https://doi.org/10.1037/hea0001153
  19. Hamilton, K., van Dongen, A., & Hagger, M. S. (2020). An extended theory of planned behavior for parent-for-child health behaviors: A meta-analysis. Health Psychology, 39(10), 863. https://doi.org/10.1037/hea0000940
  20. Hasan, H. (2022). Ethics work in increase performance employees in the aviation industry. Jurnal Transportasi, Logistik, dan Aviasi, 2(1), 55–62. https://doi.org/10.52909/jtla.v2i1.99
  21. Hendiyana, A., Endah, D., Immamah, E., & Nurhayati, N. (2022). Analysis of Malaysia Airlines check-in service process at Soekarno–Hatta International Airport during COVID-19 pandemic. Jurnal Transportasi, Logistik, dan Aviasi, 2(1), 37–54. https://doi.org/10.52909/jtla.v2i1.98
  22. Hernawan, M. A., Pramudya, M. Y., & Warsito, T. (2023). Profitability analysis of Jakarta–Makassar round-trip route using Garuda B737-800NG aircraft in 2019. Jurnal Transportasi, Logistik, dan Aviasi, 2(2), 104–125. https://doi.org/10.52909/jtla.v1i1.41
  23. Hofstede, G. (1980). Culture’s consequences: International differences in work-related values. SAGE Publications.
  24. Hofstede, G., & Minkov, M. (2010). Cultures and organizations: Software of the mind (3rd ed.). McGraw-Hill.
  25. Ibrahim, A. N. H., Borhan, M. N., & Rahmat, R. A. O. (2020). Understanding users’ intention to use park-and-ride facilities in Malaysia: The role of trust as a novel construct in the theory of planned behaviour. Sustainability, 12(6), 2484. https://doi.org/10.3390/su12062484
  26. IQAir. (2019). Air quality in Indonesia. https://www.iqair.com/indonesia
  27. Kementerian Pendidikan dan Kebudayaan. (2016). Keberagaman budaya Indonesia. Kemendikbud.
  28. Kim, M. J., Lee, C. K., & Jung, T. (2020). Exploring consumer behavior in virtual reality tourism using an extended stimulus-organism-response model. Journal of Travel Research, 59(1), 69–89. https://doi.org/10.1177/0047287518818915
  29. Kıymalıoğlu, A., Özbük, R. M. Y., Ünal, D. A., Dirlik, O., & Akar, N. (2024). Unpacking sustainable packaging through the stimulus-organism-response model: A systematic literature review. Sage Open, 14(4), 21582440241302320. https://doi.org/10.1177/21582440241302320
  30. Lesmini, L., & Fadhlurrahman, D. R. (2023). Performance analysis of quay container cranes in loading and unloading operations at Koja Terminal. Jurnal Transportasi, Logistik, dan Aviasi, 2(2), 63–77. https://doi.org/10.52909/jtla.v1i1.38
  31. Lo, S. H., van Breukelen, G. J. P., Peters, G.-J. Y., & Kok, G. (2016). Commuting travel mode choice among office workers: Comparing an extended theory of planned behavior model between regions and organizational sectors. Travel Behaviour and Society, 4, 1–10. https://doi.org/10.1016/j.tbs.2015.11.002
  32. Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. MIT Press.
  33. Mishra, M. K., Kesharwani, A., Gautam, V., & Sinha, P. (2022). Stimulus-organism-response (SOR) model application in examining the effectiveness of public service advertisements. International Journal of Business, 27(2), 1–17. https://doi.org/10.55802/ijb.027(2).005
  34. Ng, W., & Phuong, N. (2021). A model of intention to use public transportation: An extended theory of planned behaviour with environmentally concerned variables. Research in Transportation Business Management, 41, 100635.
  35. Pandita, S., Mishra, H. G., & Chib, S. (2021). Psychological impact of COVID-19 crises on students through the lens of stimulus-organism-response (SOR) model. Children and Youth Services Review, 120, 105783. https://doi.org/10.1016/j.childyouth.2020.105783
  36. Parmenas, N. H., Susanto, P. C., & Perwitasari, E. P. (2023). Evaluation model for talent management implementation in trucking companies. Jurnal Transportasi, Logistik, dan Aviasi, 2(2), 90–103. https://doi.org/10.52909/jtla.v1i1.40
  37. Putri, A. B., Farda, M., Santosa, S. P., Dirgahayani, P., Suthanaya, P. A., Andani, I. G. A., et al. (2021). Study of public transport development in South Bali districts: Potential public transport mode. International Journal of Sustainable Transportation Technology, 4(1), 9–21. https://doi.org/10.31427/IJSTT.2021.4.1.2
  38. Rozenkowska, K. (2023). Theory of planned behavior in consumer behavior research: A systematic literature review. International Journal of Consumer Studies, 47(6), 2670–2700. https://doi.org/10.1111/ijcs.12970
  39. Shaaban, K., & Maher, A. (2019). Using the theory of planned behavior to predict the use of public transit in Qatar. Transportation Research Procedia, 44, 289–298.
  40. Shaheen, Z. (2022). WeChat’s effect on online purchase intention of fast moving consumer goods. International Journal of Asian Business and Information Management (IJABIM), 13(1), 1–25. https://doi.org/10.4018/IJABIM.302249
  41. Susanto, P. C., Pahala, Y., & Setyowati, T. M. (2023). Shipping connectivity as a pioneer of logistics distribution system supporting success of sea toll program. Jurnal Transportasi, Logistik, dan Aviasi, 2(2), 126–142. https://doi.org/10.52909/jtla.v1i1.42
  42. Syaharuddin, S., Susanto, H., & Putra, M. A. H. (2020). Portrait of community economic activities in the river as a learning resources on social studies with local culture-based. The Innovation of Social Studies Journal, 1(2), 178–187. https://doi.org/10.20527/iis.v1i2.2095
  43. United States Environmental Protection Agency. (2020). Fast facts on transportation greenhouse gas emissions.
  44. Widiyanto, P., Aranza, F., & Hernawan, M. A. (2023). The impact of service quality and price on customer loyalty of freight transport companies. Jurnal Transportasi, Logistik, dan Aviasi, 2(2), 78–89. https://doi.org/10.52909/jtla.v1i1.39
  45. World Bank. (2022). Indonesia urban population.
  46. Wu, Y., Yang, F., & Pan, T. (2023). Research on the design of bus stops in Shenyang under the perspective of regional culture. Journal of Asian Institute of Low Carbon Design, 2023(1), 187. https://doi.org/10.69368/jailcd.20230039
  47. Yuriev, A., Dahmen, M., Paillé, P., Boiral, O., & Guillaumie, L. (2020). Pro-environmental behaviors through the lens of the theory of planned behavior: A scoping review. Resources, Conservation and Recycling, 155, 104660. https://doi.org/10.1016/j.resconrec.2019.104660
  48. Zailani, S., Iranmanesh, M., Sean, C. K., & Jumadi, H. (2016). Barriers of biodiesel adoption by transportation companies: A case of Malaysian transportation industry. Sustainability, 8(5). https://doi.org/10.3390/su11030931
  49. Zhu, B., Kowatthanakul, S., & Satanasavapak, P. (2020). Generation Y consumer online repurchase intention in Bangkok: Based on stimulus-organism-response (SOR) model. International Journal of Retail & Distribution Management, 48(1), 53–69. https://doi.org/10.1108/IJRDM-04-2018-0071
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How to Cite

Widiyanto, P. (2024). Culture-Based Factors Influencing Public Transportation Use: An Extended Theory of Planned Behavior. Jurnal Transportasi, Logistik, Dan Aviasi, 3(2), 117-126. https://doi.org/10.52909/jtla.v3i2.260
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