Enhancing Tourist Awareness and Preferences Through eBECA: A Digital Empowerment Approach

This study explores the influence of social media information, knowledge and attitude on tourist awareness and preference for eBECA an electric trishaw-based mobility intervention created to enhance sustainable urban tourism in Melaka. The study adopts a quantitative methodology for this purpose, survey data were collected from 212 participants who are familiar with smart tourism systems. Results of the statistical test namely correlation and regression show that the information, knowledge and attitude towards social media jointly account for 86.4% of variation in tourist preference. The results imply that tourists’ knowledge and preferences are heavily affected by their exposure to digital information and positive environmental attitudes. Additionally, digital literacy and promotion of sustainable mobility websites like eBECA increase tourists’ intension in adopting green transportation modes. It adds to the literature on smart tourism by showing that digital literacy and technology-based strategies can encourage environmentally friendly travel behavior. Suggestions are made to clawback soft power by linking up social media engagement, education on sustainability and inclusive digital design in aid of more robust tourist judgements, and sustainable tourism development in heritage cities.

eBECA, Tourist Preference

1. Ali, N. M. B., Hamzah, S. F. M., Kamaruddin, K., Noor, H. M., & Borhanuddin, R. I. (2018). Service quality from Islamic perspective and its connection with customer satisfaction with public transportation sector in Terengganu. Proceedings of the 1st Economics and Business International Conference 2017 (EBIC 2017). https://doi.org/10.2991/ebic-17.2018.49 [Google Scholar] [Crossref]

2. Aniramu, T., Aniramu, O., Olawale, J., Okebugwu, J., & Odelola, R. (2025). Assessment of sustainable tourism and tourist satisfaction using importance performance analysis and regression method. Sustainable Environment, 11(1). https://doi.org/10.1080/27658511.2025.2469988 [Google Scholar] [Crossref]

3. Avcı, İ., & Koca, M. (2024). Intelligent Transportation System Technologies, challenges and security. Applied Sciences, 14(11), 4646. https://doi.org/10.3390/app14114646 [Google Scholar] [Crossref]

4. Barros, V. G. (2012). Transportation choice and tourists’ behaviour. Tourism Economics, 18(3), 519–531. https://doi.org/10.5367/te.2012.0123 [Google Scholar] [Crossref]

5. Basallo, M. L. B. (2025). Tourism Trends in Barili, Cebu (2023–2024): Balancing visitor growth with environmental sustainability. International Journal of Environmental Sciences, 11(7s), 337–355. https://doi.org/10.64252/kt0k9k13 [Google Scholar] [Crossref]

6. Bausch, T., Peluso, A. M., Bursa, B., Mailer, M., & Amegah, M. L. (2024). Determinants encouraging tourists to use public transport in their vacation destination. International Journal of Tourism Research, 26(5). https://doi.org/10.1002/jtr.2791 [Google Scholar] [Crossref]

7. Bekele, H., & Raj, S. (2024). Digitalization and digital transformation in the tourism industry: a bibliometric review and research agenda. Tourism Review, 80(4), 894–913. https://doi.org/10.1108/tr-07-2023-0509 [Google Scholar] [Crossref]

8. Chavan, N. S., Piramanayagam, S., Perampalli, N. N., Kn, H., & Ambali, A. P. (2025). A Scoping Review protocol on senior tourists’ accommodation preferences. F1000Research, 14, 852. https://doi.org/10.12688/f1000research.169592.1 [Google Scholar] [Crossref]

9. Chi, N. T. K., & Phuong, V. H. (2021). Studying tourist intention on city tourism: the role of travel motivation. International Journal of Tourism Cities, 8(2), 497–512. https://doi.org/10.1108/ijtc-03-2021-0042 [Google Scholar] [Crossref]

10. Geçikli, R. M., Turan, O., Lachytová, L., Dağlı, E., Kasalak, M. A., Uğur, S. B., & Guven, Y. (2024). Cultural Heritage Tourism and Sustainability: A Bibliometric analysis. Sustainability, 16(15), 6424. https://doi.org/10.3390/su16156424 [Google Scholar] [Crossref]

11. Gunawan, A. I., Najib, M. F., & Setiawati, L. (2020). The effect of Electronic Word of Mouth (e-WoM) on social media networking. IOP Conference Series Materials Science and Engineering, 830(3), 032002. https://doi.org/10.1088/1757-899x/830/3/032002 [Google Scholar] [Crossref]

12. Hadinejad, A., Moyle, B. D., Kralj, A., Noghan, N., Scott, N., & Gardiner, S. (2024). Visitor attitude to tourism destinations: a critical review and future research agenda. Asia Pacific Journal of Tourism Research, 29(9), 1096–1112. https://doi.org/10.1080/10941665.2024.2380043 [Google Scholar] [Crossref]

13. Hashim, Z., & Ismail, W. R. (2017). Self-drive tourism route in Terengganu: An application of goal programming model. Sains Humanika, 9(1-5), 1–9. https://doi.org/10.11113/sh.v9n1-5.1176 [Google Scholar] [Crossref]

14. Hu, Y., Lu, Y., Kuang, T., Hu, Y., Lu, Y., & Kuang, T. (2025). How does tourism information quality affect tourists’ intention to visit Portugal: integrating the heuristic-systematic model with the theory of planned behavior. Humanities and Social Sciences Communications, 12(1). https://doi.org/10.1057/s41599-025-06052-8 [Google Scholar] [Crossref]

15. Hussain, K., Alam, M. M. D., Malik, A., Tarhini, A., & Balushi, M. K. A. (2024). From likes to luggage: The role of social media content in attracting tourists. Heliyon, 10(19), e38914. https://doi.org/10.1016/j.heliyon.2024.e38914 [Google Scholar] [Crossref]

16. Martins, W. S., Martins, M., & Morais, E. P. (2025). Exploring the Influence of Social Media on Tourist Decision-Making: Insights from Cape Verde. Tourism and Hospitality, 6(1), 45. https://doi.org/10.3390/tourhosp6010045 [Google Scholar] [Crossref]

17. Musa, H., Abdullah, A. R., Hamidi, H. Z., Othman, M. N., & Azmi, F. R. (2025). Enhancing Sustainable Heritage tourism: Adoption and impacts of Electric BECA (EBECA) technology in Malaysia’s cultural cities. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.5105534 [Google Scholar] [Crossref]

18. Musa, H., Abdullah, A. R., Othman, M. N., Halil, N. H. A., Rashid, N., & Masrom, N. R. (2024). Fostering tourism resilience: Analyzing the characteristics of EBECA innovation and its diffusion in business continuity management. In Lecture notes in networks and systems (pp. 446–457). https://doi.org/10.1007/978-3-031-55911-2_44 [Google Scholar] [Crossref]

19. Musa, H., Abdullah, A. R., Othman, M. N., Rashid, N., & Azmi, F. R. (2025). Innovating Urban Tourism in the Asia-Pacific: Evaluating Tourist-Centric Enhancements to EBECA Services in Malaysia. International Journal of Research and Innovation in Social Science, IX(IX), 6286–6297. https://doi.org/10.47772/ijriss.2025.909000514 [Google Scholar] [Crossref]

20. Pilgreen, D. G., Cho, S. J., Zou, S., & Viren, P. P. (2024). The role of objective and subjective knowledge in tourists’ environmentally conscious travel decisions. Consumer Behavior in Tourism and Hospitality, 20(1), 1–15. https://doi.org/10.1108/cbth-05-2024-0154 [Google Scholar] [Crossref]

21. Rahman, F. A., Utami, M. P., Rahmayanti, F., Adnyana, M. B., & Syarrafah, M. (2025). Encouraging Tourism Revival: An Analysis of the Impact of Online Promotion and Service Quality On Visiting Decisions at Nglanggeran Tourism Village Post-Pandemic. Proceeding International Conference on Tourism and Communication, 1(1), 74–88. https://doi.org/10.33649/ictc.v1i1.579 [Google Scholar] [Crossref]

22. Sarker, N. M., & Al-Muaalemi, M. A. (2022). Sampling Techniques for Quantitative Research. In Principles of Social Research Methodology (pp. 221–234). https://doi.org/10.1007/978-981-19-5441-2_15 [Google Scholar] [Crossref]

23. Smith, A., Robbins, D., & Dickinson, J. E. (2018). Defining sustainable transport in rural tourism: Experiences from the New Forest. Journal of Sustainable Tourism, 27(2), 258–275. [Google Scholar] [Crossref]

24. Wicaksono, T., & Marhadi, N. (2025). Understanding tourist preferences for sustainable tourism practice in Central Europe. Journal of Tourism and Economic, 7(2), 109–118. https://doi.org/10.36594/jtec/qsp9wk69 [Google Scholar] [Crossref]

25. Wu, D. (2025). A Study on Cross-Cultural Analysis of Social Media Data and Leisure Travel Preference Prediction Supported by Cluster Analysis Algorithm. J. COMBIN. MATH. COMBIN. COMPUT, 127, 5899-5926. [Google Scholar] [Crossref]

26. Zhang, Y., Papp-Váry, Á., & Szabó, Z. (2025). Digital engagement and visitor satisfaction at World Heritage Sites: A study on interaction, authenticity, and recommendations in Coastal China. Administrative Sciences, 15(3), 110. https://doi.org/10.3390/admsci15030110 [Google Scholar] [Crossref]

27. Kamyod, C., Arwatchananukul, S., Aunsri, N., Saengrayap, R., Tontiwattanakul, K., Prahsarn, C., Trongsatitkul, T., Lerslerwong, L., Mahajan, P., Kim, C., Wu, D., & Chaiwong, S. (2025). IOT-Based system for Real-Time monitoring and AI-Driven energy consumption prediction in fresh fruit and vegetable transportation. Sensors, 25(24), 7475. https://doi.org/10.3390/s25247475 [Google Scholar] [Crossref]

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