How Twitter Works in Public Transportation: A Case Study of Bus Rapid Transit in Jakarta and Semarang

Authors

  • Surya Hidayat Bokings Muhammadiyah University of Yogyakarta
  • Achmad Nurmandi Muhammadiyah University of Yogyakarta
  • Mohammad Jafar Loilatu Muhammadiyah University of Yogyakarta

DOI:

https://doi.org/10.21512/commit.v14i2.6400

Keywords:

Twitter, Public Transportation, Bus Rapid Transit in Semarang, Bus Rapid Transit in Jakarta

Abstract

The research focuses on using social media (Twitter) as a medium for public transportation services (Bus Rapid Transit - BRT) in Semarang and Jakarta. The research uses Nvivo 12 Plus as a tool in qualitative research methods. The results show that the function regarding Twitter accounts of BRT in Semarang and Jakarta has several differences. The difference is based on information integration services, interaction information and transparency, and adaptive and responsive information services. In conclusion, the information integration on Twitter accounts of BRT in Semarang and Jakarta services works well, but a more dominant function is found in BRT in Jakarta. The Twitter account of BRT in Jakarta provides more information on transportation routes, such as the number of routes and fleets. BRT in Jakarta is a responsive account, responding to questions or mentions given by its users. The high level of activity makes the BRT Jakarta account more active. Moreover, the form of information conveyed by the Twitter account of BRT Semarang has its characteristics because it shows more the character of the region (Central Java).

Dimensions

Plum Analytics

Author Biographies

Surya Hidayat Bokings, Muhammadiyah University of Yogyakarta

Master of Government Affairs and Administration

Achmad Nurmandi, Muhammadiyah University of Yogyakarta

Master of Government Affairs and Administration

Mohammad Jafar Loilatu, Muhammadiyah University of Yogyakarta

Master of Government Affairs and Administration

References

H. Pienrasmi, “Pemanfaatan social media oleh praktisi public relations di Yogyakarta,” Jurnal Komunikasi, vol. 9, no. 2, pp. 199–210, 2015.

H. Widowati. (2019) Berapa jumlah kendaraan di DKI Jakarta? Jumlah kendaraan di Jakarta berdasarkan

jenis (2012-2018). [Online]. Available: https://databoks.katadata.co.id/datapublish/2019/08/02/berapa-jumlah-kendaraan-di-dki-jakarta

M. K. Imran, S. M. J. Iqbal, U. Aslam, and T. Fatima, “Does social media promote knowledge exchange? A qualitative insight,” Management Decision, vol. 57, no. 3, pp. 688–702, 2019.

B. P. L. Lau, S. H. Marakkalage, Y. Zhou, N. U. Hassan, C. Yuen, M. Zhang, and U.-X. Tan, “A survey of data fusion in smart city applications,” Information Fusion, vol. 52, pp. 357–374, 2019.

S. Molinillo, R. Anaya-S´anchez, A. M. Morrison, and J. A. Coca-Stefaniak, “Smart city communication via social media: Analysing residents’ and visitors’ engagement,” Cities, vol. 94, pp. 247–255, 2019.

W. J. Elving and R. M. Postma, “Social media: The dialogue myth? How organizations use social media for stakeholder dialogue,” in How Strategic Communication Shapes Value and Innovation in Society. Emerald Publishing Limited, 2017, pp. 123–141.

S. Pezanowski, A. M. MacEachren, A. Savelyev, and A. C. Robinson, “SensePlace3: A geovisual framework to analyze place–time–attribute information in social media,” Cartography and Geographic Information Science, vol. 45, no. 5, pp. 420–437, 2018.

M. H¨am¨al¨ainen, “A framework for a smart city design: Digital transformation in the Helsinki smart city,” in Entrepreneurship and the Community. Springer, 2020, pp. 63–86.

A. Camero and E. Alba, “Smart city and information technology: A review,” Cities, vol. 93, pp. 84–94, 2019.

T. Wang, A. Hussain, M. N. M. Bhutta, and Y. Cao, “Enabling bidirectional traffic mobility for its simulation in smart city environments,” Future Generation Computer Systems, vol. 92, pp. 342–356, 2019.

A. Kacem, R. Belkaroui, D. Jemal, H. Ghorbel, R. Faiz, and I. H. Abid, “Towards improving e-government services using social media-based citizen’s profile investigation,” in Proceedings of the 9th International Conference on Theory and Practice of Electronic Governance, Montevideo Uruguay, March 2016, pp. 187–190.

N. Rebernik, B. G. Maruˇsi´c, and A. Bahillo, Understanding the complexity of inclusive public space design–Reflections on the case study of Slovenia, ser. Neighbourhood & City-Between Digital and Analogue Perspectives. Lisbon: Edies Universitrias Lusfona, 2019, pp. 309–318.

P. Jaiswal and S. Hatkar, “Inclusive planning: Smart solution for city design,” International Journal on Emerging Technologies, vol. 8, no. 1, pp. 521–523, 2017.

E. Holden, K. Linnerud, and D. Banister, “Sustainable passenger transport: Back to Brundtland,” Transportation Research Part A: Policy and Practice, vol. 54, pp. 67–77, 2013.

M. Itoh, D. Yokoyama, M. Toyoda, Y. Tomita, S. Kawamura, and M. Kitsuregawa, “Visual exploration of changes in passenger flows and tweets on mega-city metro network,” IEEE Transactions on Big Data, vol. 2, no. 1, pp. 85–99, 2016.

V. Kurganov, M. Gryaznov, and A. Dorofeev, “Management of transportation process reliability based on an ontological model of an information system,” Transportation research procedia, vol. 36, pp. 392–397, 2018.

M. Stone, J. Knapper, G. Evans, and E. Aravopoulou, “Information management in the smart city,” The Bottom Line, vol. 31, no. 3/4, pp. 234–249, 2018.

H. K. Mohajan et al., “Qualitative research methodology in social sciences and related subjects,” Journal of Economic Development, Environment and People, vol. 7, no. 1, pp. 23–48, 2018.

A. B. Hamilton and E. P. Finley, “Qualitative methods in implementation research: An introduction,” Psychiatry Research, vol. 280, no. October, p. 112516, 2019.

C. Brand˜ao, “P. Bazeley and K. Jackson, qualitative data analysis with Nvivo (2nd ed.)(2013). London: Sage,” Qualitative Research in Psychology, vol. 12, no. 4, pp. 492–494, 2015.

N. H. Woolf and C. Silver, Qualitative analysis using Nvivo: The five-level QDA method. Routledge, 2017.

O. A. Shvetsova, “Smart education in high school: New perspectives in global world,” in 2017 International Conference Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS). St. Petersburg, Russia: IEEE, Sept. 24–30, 2017, pp. 688–691.

B. Fl¨ugge, Smart Mobility–Connecting Everyone: Trends, Concepts and Best Practices. Springer, 2017.

A. L. Kavanaugh, E. A. Fox, S. D. Sheetz, S. Yang, L. T. Li, D. J. Shoemaker, A. Natsev, and L. Xie, “Social media use by government:From the routine to the critical,” Government Information Quarterly, vol. 29, no. 4, pp. 480–491, 2012.

V. Grubm¨uller, K. G¨otsch, and B. Krieger, “Social media analytics for future oriented policy making,” European Journal of Futures Research, vol. 1, no. 1, p. 20, 2013.

J. S. De Oliveira Neto, “Inclusive smart cities: Theory and tools to improve the experience of people with disabilities in urban spaces,” Ph.D. dissertation, Universidade de S˜ao Paulo & Universit ´e Paris-Saclay, 2018.

R. P´erez-Delhoyo, C. Garc´ıa-Mayor, H. Mora, V. Gilart-Iglesias, and M. D. And´ujar-Montoya, “Improving urban accessibility: A methodology for urban dynamics analysis in smart, sustainable and inclusive cities,” International Journal of Sustainable Development and Planning, vol. 12, no. 3, pp. 357–367, 2017.

B. Verma, R. Snodgrass, B. Henry, B. Smith, and T. Daim, “Smart cities-an analysis of smart transportation management,” in Managing innovation in a global and digital world. Springer, 2020, pp. 367–388.

D. G. Costa, C. Duran-Faundez, D. C. Andrade, J. B. Rocha-Junior, and J. P. Just Peixoto, “Twittersensing: An event-based approach for wireless sensor networks optimization exploiting social media in smart city applications,” Sensors, vol. 18, no. 4, p. 1080, 2018.

G. Kousiouris, A. Akbar, J. Sancho, P. Ta-Shma, A. Psychas, D. Kyriazis, and T. Varvarigou, “An integrated information lifecycle management framework for exploiting social network data to identify dynamic large crowd concentration events in smart cities applications,” Future Generation Computer Systems, vol. 78, pp. 516–530, 2018.

T. M. Nisar, G. Prabhakar, and L. Strakova, “Social media information benefits, knowledge management and smart organizations,” Journal of Business Research, vol. 94, no. January, pp. 264–272, 2019.

Downloads

Published

2020-10-30
Abstract 760  .
PDF downloaded 552  .