Analisis Spasial Titik Rawan Kecelakaan Lalu Lintas (Blackspot) Di Kabupaten Banyuasin Menggunakan Kernel Density

Fitri Amaliasari; Erika  Buchari; Edi  Kadarsa

doi:10.36418/syntax-literate.v10i12.63456

Fitri Amaliasari Universitas Sriwijaya
Erika Buchari Universitas Sriwijaya
Edi Kadarsa Universitas Sriwijaya

DOI: https://doi.org/10.36418/syntax-literate.v10i12.63456

Keywords: Traffic Acciddents, Black Spot, Kernel Density Estimation, Geographic Information System, Banyuasin Regency

Abstract

The increase in population and mobility in Banyuasin Regency has a direct impact on traffic safety risks. Throughout 2023, 162 traffic accidents were recorded, exhibiting a fluctuating pattern. This study aims to identify and map the spatial distribution of accident-prone points (black spots) and measure the validity of the vulnerability model. The method employed is Geographic Information System (GIS)-based Kernel Density Estimation (KDE), utilizing 2023 incident data as the training set and January 2024 data for validation. The analysis integrates parameters of victim fatality, time of occurrence, and vehicle type. The results indicate the formation of a "Very High" risk zone covering 75.67 km (0.60% of the total area), concentrated along the East Trans-Sumatra Road (PalembangJambi) at KM 24.532.5 in Sembawa District and KM 6377 in Betung District. Model validation demonstrated an accuracy rate of 90.91%. The reliability of the model was confirmed through statistical tests, where the Binomial Test yielded a p-value of 0.0002 < ? = 0.05, and the Chi-Square Test showed a calculated value ? of 25.74 (greater than the table value of 9.488). These results prove that the distribution of accidents is significantly concentrated in the predicted high-risk zones and is not randomly distributed. This study validates the effectiveness of the KDE method as a strategic tool for prioritizing road safety infrastructure improvements in Banyuasin Regency.

Downloads

Download data is not yet available.

References

Aronoff, S. (1989). Geographic Information System: A Management Perspective. Ottawa, Canada: WDL Publications.
Arumsari, D. (2016). Pemodelan Daerah Rawan Kecelakaan dengan Menggunakan Cluster Analysis. Jurnal Geodesi Undip, 174�183.
Banyuasin, B. K. (2024). Kabupaten Banyuasin Dalam Angka 2024. BPS Kabupaten Banyuasin.
Chrisman, N. (1997). Exploring Geographic Information System. New York: John Wiley & Sons, Inc.
Connolly, T. &. (2010). Database Systems: A Practical Approach to Design, Implementation, and Management (5th ed.). Boston: Pearson Education.
Dendy, W. &. (2014). Analisis Kecelakaan Lalu Lintas (Studi Kasus: Jalan Raya Ungaran-Bawen). Semarang: Jurusan Teknik Sipil Universitas Diponegoro.
Eko, P. (2012). Data Mining: Konsep dan Aplikasi Menggunakan Matlab. Yogyakarta: CV Andi.
Environmental Systems Research Institute (ESRI), �How Kernel Density Works,� ArcGIS Pro Help, Jan. 2024. [Online]. Available: https://pro.arcgis.com
H. Gudono, Analisis Data Multivariat, Yogyakarta: BPFE UGM, 2014.
J. Han, M. Kamber, and J. Pei, Data Mining: Concepts and Techniques, 3rd ed., Amsterdam: Morgan Kaufmann, 2011.
W. Handayani and A. Sihombing, Statistik Spasial dalam Studi Geografi dan Perencanaan, Semarang: UNDIP Press, 2011.
Pemerintah Republik Indonesia, Undang-Undang No. 22 Tahun 2009 tentang Lalu Lintas dan Angkutan Jalan, Jakarta: Pemerintah, 2009.
I. Kloog, H. Haim, B. Zanobetti, and J. Schwartz, �Using kernel density function as an exploratory tool for identifying spatio-temporal patterns of events,� Geoinformatica, vol. 13, no. 4, pp. 371�389, 2009.
C. H. Oglesby and R. G. Hicks, Perencanaan dan Manajemen Transportasi, Jakarta: Bumi Media, 1999.
R. A. Putra, Pengantar Sistem Informasi Geografis dan Aplikasinya, Yogyakarta: Deepublish, 2015.
M. S. Putri, �Analisis validasi spasial zona rawan kecelakaan menggunakan data distribusi titik kecelakaan,� Jurnal Geomatika, vol. 6, no. 2, pp. 112�121, 2020.
P. B. Santosa, Analisis Statistik Spasial dalam Kajian Geografi, Yogyakarta: UGM Press, 2018.
B. W. Silverman, Density Estimation for Statistics and Data Analysis, London: Chapman & Hall, 1986.
Sugiyono, Statistik Nonparametrik untuk Penelitian, Bandung: Alfabeta, 2001.
Sumarsono, Perencanaan Lalu Lintas, Yogyakarta: UGM, 1996.
I. M. Suwandika, �Validasi peta rawan banjir dan kecelakaan berbasis KDE,� Skripsi, Universitas Udayana, 2018.
P.-N. Tan, M. Steinbach, and V. Kumar, Introduction to Data Mining, Boston: Pearson Addison Wesley, 2006.
A. S. Wedasana, �Analisis daerah rawan kecelakaan dan penyusunan database berbasis sistem informasi geografis (studi kasus Kota Denpasar),� Skripsi, Universitas Udayana, Denpasar, 2011.
H. T. Wibowo, �Validasi zona bahaya berdasarkan titik aktual,� Laporan Penelitian, 2020.
Yousman, Google Earth, Yogyakarta: Andi, 2008.