Karasteristik Sistem Pelayanan Angkutan Perkotaan Di Kota Makassar

Studi Kasus:Angkutan Mikrolet

Authors

  • Nisa Rusdin Program Studi Perencanaan Wilayah dan Kota, Fakultas Teknik, Universitas Bosowa
  • Kamran Aksa Program Studi Perencanaan Wilayah dan Kota, Fakultas Teknik, Universitas Bosowa
  • Nur Syam Program Studi Perencanaan Wilayah dan Kota, Universitas Islam Negeri Alauddin Makassar

DOI:

https://doi.org/10.35965/jups.v5i3.633

Keywords:

Transportation, Microlet, Urban Transportation Service System

Abstract

This study aims to determine the characteristics of the microlet transportation service system in Makassar City (Makassar Mall - Perumnas Antang Route) and the optimization strategy for microlet transportation using qualitative and quantitative methods. Data collection was carried out through field observation activities, documentation, interviews and questionnaires. The data obtained were then analyzed using quantitative and qualitative descriptive analysis based on the targets based on the regulations of the Minister of Transportation No. 98 of 2013 concerning the Urban Transportation Service System. From the variables used, it shows that there are five variables that need to be optimized for the microlet transportation service system

References

Abbas, A. H., Izadinia, N., & Hamidian, N. (2024). The Effect Of Auditor Personality Characteristics On Auditing Quality In Companies Listed On The Iraq Stock Exchange.International Journal Of Economics And Finance Studies. https://doi.org/10.34109/ijefs.202416314

Aderibigbe, O. O. A. (2022). Adoption of integrated transport system for sustainable transport planning and development.Journal of Inclusive Cities and Built Environment. https://doi.org/10.54030/2788-564x/2022/cp1v2a9

Anund, A., Forward, S., & Sjörs Dahlman, A. (2023). Seat belt usage in buses - An observation study of usage and travellers’ perspectives.Accident Analysis & Prevention. https://doi.org/10.1016/j.aap.2023.107138

Ash Shiddiqi, A. A., Sutjiningsih, D., Tjahjono, T., Darmajanti, L., & Suprayoga, G. B. (2022). Evaluating Sustainable Transport Indicators for Metropolitan Areas in Developing Countries: The Case of Greater Jakarta.The Open Transportation Journal. https://doi.org/10.2174/18744478-v16-e2206130

Canaway, R., Boyle, D., Manski-Nankervis, J.-A., & Gray, K. (2022). Identifying primary care datasets and perspectives on their secondary use: a survey of Australian data users and custodians.BMC Medical Informatics and Decision Making. https://doi.org/10.1186/s12911-022-01830-9

Chawuthai, R., Sumalee, A., & Threepak, T. (2023). GPS Data Analytics for the Assessment of Public City Bus Transportation Service Quality in Bangkok.Sustainability. https://doi.org/10.3390/su15075618

Filippov, B. P. (2022).Variable Analysis. https://doi.org/10.1017/9781108867788.008

Geraldini, S., Bruschi, A., Bellotti, G., & Taramelli, A. (2021). User Needs Analysis for the Definition of Operational Coastal Services.Water. https://doi.org/10.3390/W13010092

Heimann, K., Boelsbjerg, H. B., Allen, C., van Beek, M., Suhr, C., Lübbert, A., & Petitmengin, C. (2022). The lived experience of remembering a ‘good’ interview: Micro-phenomenology applied to itself.Phenomenology and The Cognitive Sciences. https://doi.org/10.1007/s11097-022-09844-4

Jirwankar, B. S. (2022). Extrapolations and catalysts in relation to the COVID-19 epidemic and implications on viable urban transport.International Journal of Research Publication and Reviews. https://doi.org/10.55248/gengpi.2022.3.3.9

Kerzhner, T. (2022). Is informal transport flexible?Journal of Transport and Land Use. https://doi.org/10.5198/jtlu.2022.2213

Kurniawan, E., & Tjhin, V. U. (2023). Measuring geospatial information system success on individual performance impact.Indonesian Journal of Electrical Engineering and Computer Science. https://doi.org/10.11591/ijeecs.v30.i2.pp1128-1139

Kursar, Z. O. (2023).Introduction to Transportation Systems Technology and Integrated Management. https://doi.org/10.1007/978-981-99-1517-0_1

Lee, J., & Yoon, Y. (2021). Indicators development to support intelligent road infrastructure in urban cities.Transport Policy. https://doi.org/10.1016/J.TRANPOL.2021.10.009

Lestari, P. W., Triwibowo, A., & Hendrawati, L. S. (2023). COVID-19 Prevention in Public Transport: A Qualitative Study.Jurnal Ilmu Kesehatan Masyarakat: The Indonesian Journal of Public Health. https://doi.org/10.26553/jikm.2022.13.2.362-375

Nguyen-Phuoc, D. Q., Tran, A. T. P., Nguyen, T., Le, P. T., & Su, D. N. (2021). Investigating the complexity of perceived service quality and perceived safety and security in building loyalty among bus passengers in Vietnam – A PLS-SEM approach.Transport Policy. https://doi.org/10.1016/J.TRANPOL.2020.12.010

Nykonchuk, V. (2022). Research of Passenger Transport Service System by Quality Indicators.Centralʹnoukraïnsʹkij Naukovij Vìsnik. https://doi.org/10.32515/2664-262x.2022.5(36).2.246-253

Paramita, D., Laksmiyanti, E., Xian, G. E., Graciani, C., Dewanda, R., Olda, P., & Salsabilla, H. R. (2023).Development of Mutualism Settlement Along the Railway Towards a Sustainable City. https://doi.org/10.59260/penvid.2023.27372502

Ricento, T. (2021).The Researcher and the Researched. https://doi.org/10.1007/978-3-030-76453-1_2

Shenjin, C., & Chuanchun, Z. (2021, May 28). Research on Public Transportation Information Service System Based on Intelligent Perception.International Conference on Artificial Intelligence. https://doi.org/10.1109/AIID51893.2021.9456557

Sinha, S., Swamy, H. M. S., & Modi, K. (2020). User Perceptions of Public Transport Service Quality.Transportation Research Procedia. https://doi.org/10.1016/J.TRPRO.2020.08.121

Strobel, K. (2023). Appropriate Key Performance Indicators for Evaluating Integrated Passenger-Freight Transport.Lecture Notes in Intelligent Transportation and Infrastructure. https://doi.org/10.1007/978-3-031-23721-8_103

Tucho, G. T. (2022). A review on the socio-economic impacts of informal transportation and its complementarity to address equity and achieve sustainable development goals.Journal of Engineering and Applied Science. https://doi.org/10.1186/s44147-022-00074-8

Vavrova, L., Jordova, R., Vácha, O., & Foltynova, H. B. (2023). Development of public transport perception by its users during the pandemic: qualitative study from Czechia.Transactions on Transport Sciences. https://doi.org/10.5507/tots.2022.022

Wong, R. C. P., Yang, L., & Szeto, W. Y. (2023). Comparing passengers’ satisfaction with fixed-route and demand-responsive transport services: Empirical evidence from public light bus services in Hong Kong.Travel Behaviour and Society. https://doi.org/10.1016/j.tbs.2023.100583

Zeimpekis, V., Madas, M. A., Pasupuleti, V., Thuraka, B., Kodete, C. S., & Malisetty, S. (2024).Enhancing Supply Chain Agility and Sustainability through Machine Learning: Optimization Techniques for Logistics and Inventory Management. https://doi.org/10.3390/logistics8030073

Żochowska, R., Kłos, M. J., Soczówka, P., & Pilch, M. (2022). Assessment of Accessibility of Public Transport by Using Temporal and Spatial Analysis.Sustainability. https://doi.org/10.3390/su142316127

Published

2025-07-31