Mengukur Respons Pengguna Bus Trans Metro Pasundan terhadap Program 'Buy the Service' menggunakan Rasch Model: Sebuah Studi Analitis
DOI:
https://doi.org/10.52596/ja.v7i1.196Keywords:
Rasch model, Pelayanan, Perkotaan, transportasi, sustainable managementAbstract
ABSTRACT
Â
This study aims to analyze the perspectives of users of Bus Trans Metro Pasundan regarding the government program "Buy the Service," which aims to provide reliable, safe, comfortable, and affordable public transportation. Employing the Rasch model approach, the research involved 30 respondents who utilize the bus service to identify the factors influencing the success of the "Buy the Service" program from the users' standpoint. The collected data provided profound insights into the users' perspectives on the Bus Trans Metro Pasundan service, indicating that the public is not accustomed to the concept of dependency on public transportation and feels that their expectations regarding the facilities have not been fully met. Overall, the findings of this study offer a credible and accurate basis for expanding perspectives and enhancing the success of the "Buy the Service" program in sustainable management.
Â
ABSTRAK
Â
Penelitian ini bertujuan untuk menganalisis perspektif pengguna Bus Trans Metro Pasundan terhadap program pemerintah "Buy the Service" yang bertujuan untuk menyediakan angkutan umum yang andal, aman, nyaman, dan terjangkau. Dengan menggunakan pendekatan model Rasch, penelitian ini melibatkan 30 responden yang menggunakan layanan bus tersebut untuk mengidentifikasi faktor-faktor yang mempengaruhi keberhasilan program, termasuk ketergantungan masyarakat, kebijakan pemerintah, dan efektivitas program. Data yang dikumpulkan memberikan wawasan mendalam mengenai perspektif pengguna terhadap layanan Bus Trans Metro Pasundan, dan menunjukkan bahwa masyarakat belum terbiasa dengan konsep ketergantungan pada moda transportasi umum dan merasa belum terpenuhi harapannya terhadap fasilitas yang ada. Hasil penelitian ini memberikan dasar yang kredibel dan akurat untuk memperluas perspektif dan meningkatkan keberhasilan program "Buy the Service" dalam pengelolaan yang berkelanjutan.
Â
References
Ahmed, Y. A., Rashid, A., & Khurshid, M. M. (2022). Investigating the Determinants of the Adoption of Solar Photovoltaic Systems—Citizen’s Perspectives of Two Developing Countries. Sustainability (Switzerland), 14(18). https://doi.org/10.3390/su141811764
Attard, M. (2023). Planning for Bus Rapid Transit in an island context. The challenges of implementing BRT in Malta. Research in Transportation Economics, 100. https://doi.org/10.1016/j.retrec.2023.101309
Bouraima, M. B., Tengecha, N. A., Stević, Ž., Simić, V., & Qiu, Y. (2023). An integrated fuzzy MCDM model for prioritizing strategies for successful implementation and operation of the bus rapid transit system. Annals of Operations Research. https://doi.org/10.1007/s10479-023-05183-y
Černý, M., Kubaľák, S., Poliaková, B., & Gogolová, M. (2021). How Can the Mobility Campaigning Help to Promote the Sustainable Mobility: Case from City of Zilina. Transport Means - Proceedings of the International Conference, 2021-Octob, 1059–1064. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123281810&partnerID=40&md5=e9d6c0a3fd12440f23dd1986f1803c67
Frutuoso, F. S., Alves, C. M. A. C., Araújo, S. L., Serra, D. S., Barros, A. L. B. P., Cavalcante, F. S. Ã., Araújo, R. S., Policarpo, N. A., & Oliveira, M. L. M. (2023). Assessing light flex-fuel vehicle emissions with ethanol/gasoline blends along an urban corridor: A case of Fortaleza/Brazil. International Journal of Transportation Science and Technology, 12(2), 447–459. https://doi.org/10.1016/j.ijtst.2022.04.001
Garcia-Arteaga, J. D., & Lotero, L. (2023). A network-based analysis to assess COVID-19 disruptions in the Bogotá BRT system. Environment and Planning B: Urban Analytics and City Science. https://doi.org/10.1177/23998083221150646
Gentile, C., Spiller, N., & Noci, G. (2007). How to Sustain the Customer Experience:. An Overview of Experience Components that Co-create Value With the Customer. European Management Journal, 25(5), 395–410. https://doi.org/10.1016/j.emj.2007.08.005
Hafiizh Nur, M. A., Hadiyoso, S., Belladina, F. B., Ramadan, D. N., & Wijayanto, I. (2020). Tracking, Arrival Time Estimator, and Passenger Information System on Bus Rapid Transit (BRT). 2020 8th International Conference on Information and Communication Technology, ICoICT 2020, 0–3. https://doi.org/10.1109/ICoICT49345.2020.9166375
Hermanto, B., & Miftahuddin, A. (2021). Tourism experience in Indonesia: A new approach using the rasch model scale. Geojournal of Tourism and Geosites, 38(4), 1051–1056. https://doi.org/10.30892/GTG.38409-743
Kee, C. P., Ahmad, F., Ibrahim, F., & Nie, K. S. (2012). Correlating graduate marketability dimensions with the measurements of university-student relationship. Asian Social Science, 8(6), 63–73. https://doi.org/10.5539/ass.v8n6p63
Klar, B., Lee, J., Long, J. A., & Diab, E. (2023). The impacts of accessibility measure choice on public transit project evaluation: A comparative study of cumulative, gravity-based, and hybrid approaches. Journal of Transport Geography, 106. https://doi.org/10.1016/j.jtrangeo.2022.103508
Lee, J., & Kim, J. (2023). Social equity analysis of public transit accessibility to healthcare might be erroneous when travel time uncertainty impacts are overlooked. Travel Behaviour and Society, 32. https://doi.org/10.1016/j.tbs.2023.100588
Meurer, J., Lawo, D., Pakusch, C., Tolmie, P., & Wulf, V. (2019). Opportunities for sustainable mobility: Re-thinking eco-feedback from a citizen’s perspective. ACM International Conference Proceeding Series, 102–113. https://doi.org/10.1145/3328320.3328391
Miftah, A. Z., Hesti, C. K., Raharjo, M. A., & Khairani, A. F. (2021). Bandung sustainable urban mobility policy - Angkot contribution on public transport emission. IOP Conference Series: Earth and Environmental Science, 673(1). https://doi.org/10.1088/1755-1315/673/1/012029
Miftahuddin, A., Hermanto, B., Raharja, S. J., & Chan, A. (2020). City brand attractiveness on tourism using rasch model approach. International Journal of Supply Chain Management, 9(2), 150–156. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085379587&partnerID=40&md5=6559f1383021d7fe2fd21f5f1afaaa79
Morales-Betancourt, R., Wilches-Mogollon, M. A., Sarmiento, O. L., Mendez Molano, D., Angulo, D., Filigrana, P., Arellana, J., Guzman, L. A., Garzon, G., Gouveia, N., Levy, P., & Diez-Roux, A. V. (2023). Commuter’s personal exposure to air pollutants after the implementation of a cable car for public transport: Results of the natural experiment TrUST. Science of the Total Environment, 865. https://doi.org/10.1016/j.scitotenv.2022.160880
Muttaqin, M. Z., & Zaini, A. K. (2018). Customer perspective of Trans Metro Pekanbaru service on corridor Pandau-Ramayana. MATEC Web of Conferences, 181. https://doi.org/10.1051/matecconf/201818110002
Neisani Samani, Z., & Alesheikh, A. A. (2019). Uncertainty modelling of citizen-centered group decision making using fuzzy-vikor case study: Site selection of healthcare services. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 42(4/W18), 809–814. https://doi.org/10.5194/isprs-archives-XLII-4-W18-809-2019
Ni, M. (2022). Digital Participation for Inclusive Growth: A Case Study of Singapore’s Collaborative Digital Governance Model. In Urban Book Series (pp. 323–337). https://doi.org/10.1007/978-3-030-96866-3_17
Ou, C., Hu, S., Luo, K., Yang, H., Hang, J., Cheng, P., Hai, Z., Xiao, S., Qian, H., Xiao, S., Jing, X., Xie, Z., Ling, H., Liu, L., Gao, L., Deng, Q., Cowling, B. J., & Li, Y. (2022). Insufficient ventilation led to a probable long-range airborne transmission of SARS-CoV-2 on two buses. Building and Environment, 207. https://doi.org/10.1016/j.buildenv.2021.108414
Sarkar, D., & Sheth, A. (2023). Public private partnership model for sustainable bus rapid transit system in Ahmedabad, India. International Journal of Construction Management, 23(7), 1233–1243. https://doi.org/10.1080/15623599.2021.1966579
Simic, V., Gokasar, I., Deveci, M., & Karakurt, A. (2022). An integrated CRITIC and MABAC based type-2 neutrosophic model for public transportation pricing system selection. Socio-Economic Planning Sciences, 80. https://doi.org/10.1016/j.seps.2021.101157
Sugiarto, S., Miwa, T., & Morikawa, T. (2017). Inclusion of latent constructs in utilitarian resource allocation model for analyzing revenue spending options in congestion charging policy. Transportation Research Part A: Policy and Practice, 103, 36–53. https://doi.org/10.1016/j.tra.2017.05.019
Sulistyorini, R., Siahaan, W. S., Antiqasari, S. N., Saraswati, Z. F., Pratama, M. A. R., Ibad, M. Z., & Ekaputra, R. A. (2022). Proposing bus transit fares: Buy the service project by ministry of transportation, Indonesia (case study from Palembang, South Sumatera). IOP Conference Series: Earth and Environmental Science, 1000(1). https://doi.org/10.1088/1755-1315/1000/1/012023