Analysis of movement patterns based on origin-destination matrix

Authors

  • Yan Radhinal Urban and Regional Study Program, Department of Architecture, Faculty of Engineering, Universitas Tadulako, Palu, Central Sulawesi 94148, Indonesia
  • Rheni Susanti Urban and Regional Planning Study Program, Faculty of Science and Technology, Universitas Muhammadiyah Bulukumba, Bulukumbe District, South Sulawesi 92511, Indonesia
  • Sulfa Ahriani Urban and Regional Planning Study Program, Faculty of Science and Technology, Universitas Muhammadiyah Bulukumba, Bulukumbe District, South Sulawesi 92511, Indonesia

Keywords:

destination origin matrix (MAT), land use, movement patterns

Abstract

Background: Transportation is a crucial element in the development of a region. The commonly used planning model is the trip distribution model, which is represented in the form of a Destination Origin Matrix (MAT). This study examines transportation and traffic patterns in North Sinjai District, focusing on origin–destination movements. It highlights the role of the Destination Origin Matrix (MAT) in modeling mobility, planning transport systems, and understanding socio-economic and land use influences on movement. Methods: This research was conducted in North Sinjai District, an urban area divided into seven zones based on community activity centers: trade and services, settlements, education, offices, health, worship, and public spaces. The study mapped origin–destination movements and assessed regional function management using literature review, observation, questionnaires, and interviews. The study in North Sinjai District involved 300 respondents across seven zones. Findings: Results show adults dominated respondents, with students as the largest occupational group. Private motorcycles were the most used vehicles. Health zones had the highest origin movements, trade and services zones the highest destinations, while residential and public spaces were the lowest. Desire Line analysis indicated strong interactions between health, offices, and trade zones, guiding land use management priorities and infrastructure allocation. Conclusion: The study indicates that strategic planning of regional transport flows, especially through the Destination Origin Matrix, can identify sector-specific needs, highlighting the requirement for enhanced infrastructure in the health zone. Novelty/Originality of this article: The novelty of this research lies in applying a detailed Destination Origin Matrix at a sub-district urban scale to guide resource allocation for specific community activity zones, particularly addressing health sector demand.

References

Akbar, M., Nababan, D. S., & Kholid, M. I. (2020). Analisis pola bangkitan lalu lintas dengan menggunakan metode matriks asal-tujuan. Mustek Anim Ha, 9(02), 56-66. https://doi.org/10.35724/mustek.v9i02.3317

Ansusanto, J. D. (2013). Model asal tujuan orang dalam pergerakan harian di Kota Yogyakarta. In Seminar Nasional IX-Teknik Sipil ITS Surabaya.

Apriliansyah, T., & Herman, H. (2015). Perkiraan distribusi pergerakan penumpang di Provinsi Jawa Barat berdasarkan asal tujuan transportasi nasional. RekaRacana: Jurnal Teknik Sipil, 1(1), 29. https://doi.org/10.26760/rekaracana.v1i1.29

Astutik, H. P. (2020). Pergerakan distribusi matrik asal tujuan transportasi barang internal di Provinsi Daerah Istimewa Yogyakarta. Jurnal Kacapuri: Jurnal Keilmuan Teknik Sipil, 3(2), 8-15. https://doi.org/10.31602/jk.v3i2.4063

Kadarisman, M., Gunawan, A., & Ismiyati, I. (2015). Implementasi kebijakan sistem transportasi darat dan dampaknya terhadap kesejahteraan sosial di jakarta. Jurnal Manajemen Transportasi & Logistik (JMTransLog), 2(1), 59-78. https://doi.org/10.54324/j.mtl.v2i1.129

Kumaat, M. (2013). Analisis bangkitan dan tarikan pergerakan penduduk berdasarkan data matriks asal tujuan Kota Manado. Jurnal Tekno Sipil, 11(58). https://doi.org/10.35793/jts.v11i58.4293

Palindang, W., Rogi, O. H., & Rate, J. V. (2020). Analisis kebijakan transportasi Kota Tomohon berdasarkan pola pergerakan masyarakat sebagai indikator struktur ruang kota. Sabua: Jurnal Lingkungan Binaan dan Arsitektur, 9(1), 82-93. https://doi.org/10.35793/sabua.v9i1.31729

Pangestuti, E. (2021). Prosedur penyelesaian hukum terhadap pelanggaran lalu lintas dalam KUHP. Yustitiabelen, 7(1), 72-93. https://doi.org/10.36563/yustitiabelen.v7i1.321

Risnawati, R. (2022). Efektivitas teknik self-talk terhadap peningkatan kepercayaan diri remaja di Desa Patalassang Kecamatan Sinjai Timur. (Doctoral Dissertation, Institut Agama Islam Muhammadiyah Sinjai). https://repository.uiad.ac.id/id/eprint/1056/1/RISNAWATI.pdf

Suyuti, R., & Tamin, O. Z. (2007). Penggunaan model gravity-opportunity (Go) dalam estimasi matriks asal-tujuan (mat) menggunakan data arus lalu lintas. Jurnal Transportasi, 7(1). https://doi.org/10.26593/jtrans.v7i1.1816.%25p

Safitri, R. (2015). Analisis pola pergerakan berdasarkan estimasi matriks asal tujuan menggunakan data telepon seluler (Studi kasus Provinsi Bali). FROPIL (Forum Profesional Teknik Sipil), 3(2), 107-115. https://doi.org/10.33019/fropil.v3i2.1218

Sari, W. M., & Sembiring, P. (2018, October). Perbandingan keakuratan dari model tabel distribusi frekuensi berkelompok antara metode sturges dan metode scott: Comparison of the accuracy of the group frequency distribution table model between the sturges method and the scott method. In Talenta Conference Series: Science and Technology (ST). Vol. 1(1), pp. 001-009). https://doi.org/10.32734/st.v1i1.182

Septiyani, W., & Legowo, S. J. (2015). Estimasi matrik asal tujuan dari data lalu lintas dengan metode estimasi inferensi bayesian menggunakan piranti lunak EMME/3 (Studi kasus Kota Surakarta). The 18th FSTPT International Symposium, Unila, Bandar Lampung, August 28th, 2015. https://iris1103.uns.ac.id/proceding/RG01-S-proc00000000603-2016-03-24-16-07-05.pdf

Sutrisni, S., Syafi'i, S. I., & Setiono, S. (2014). Estimasi matriks asal tujuan (MAT) Kota Surakarta tahun 2025. Matriks Teknik Sipil, 2(2), 237-241. https://jurnal.uns.ac.id/matriks/article/viewFile/37459/24689

Sinha, K. C., Labi, S., & Agbelie, B. R. (2017). Transportation infrastructure asset management in the new millennium: continuing issues, and emerging challenges and opportunities. Transportmetrica A: transport science, 13(7), 591-606. https://doi.org/10.1080/23249935.2017.1308977

Hrelja, R., Khan, J., & Pettersson, F. (2020). How to create efficient public transport systems? A systematic review of critical problems and approaches for addressing the problems. Transport Policy, 98, 186-196. https://doi.org/10.1016/j.tranpol.2019.10.012

Widyawati, N., Merciana, D., & Kalangi, M. H. E. (2020). Moda transportasi darat dan kualitas layanan jasa terhadap kelancaran arus container di depo. Jurnal Baruna Horizon, 3(2), 230-241. https://doi.org/10.52310/jbhorizon.v3i2.43

Zada, E. M., & Legowo, S. J. (2015). Estimasi matrik asal tujuan (mat) dari data arus lalu lintas dengan metode estimasi kuadrat terkecil menggunakan piranti lunak emme/3 (Studi kasus Kota Surakarta). METODE, 3, 02. The 18th FSTPT International Symposium, Unila, Bandar Lampung, August 28th, 2015. https://iris1103.uns.ac.id/proceding/RG01-S-proc00000000577-2016-03-24-15-29-16.pdf

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Published

2026-02-28

How to Cite

Radhinal, Y., Susanti, R., & Ahriani, S. (2026). Analysis of movement patterns based on origin-destination matrix. Journal of Environmental Planning and Research, 1(1), 33–46. Retrieved from https://journal-iasssf.com/index.php/JEPAR/article/view/1986

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