Analisis Faktor Kecelakaan Lalu Lintas Surabaya Berdasarkan Perspektif Tata Ruang Melalui Pemodelan Spasial

Adlina, Yulia Yarsi Nur (2021) Analisis Faktor Kecelakaan Lalu Lintas Surabaya Berdasarkan Perspektif Tata Ruang Melalui Pemodelan Spasial. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kecelakaan lalu lintas merupakan salah satu penyebab kematian tertinggi. Menurut data Statistik Transportasi Darat, Provinsi Jawa Timur menyumbang angka kecelakaan lalu lintas paling tinggi di Indonesia pada tahun 2018. Surabaya yang merupakan ibu kota dari Provinsi Jawa Timur memiliki angka kecelakaan lalu lintas yang selalu meningkat dari tahun 2014-2017. Berdasarkan penelitian terdahulu, angka kecelakaan lalu lintas yang melibatkan sepeda motor lebih tinggi dibanding moda transportasi lainnya. Faktor penyebab kecelakaan lalu lintas di Surabaya dari perspektif tata ruang belum banyak dibahas sebelumnya. Studi untuk mengurangi kecelakaan lalu lintas di Surabaya perlu dilakukan, salah satu caranya yaitu dengan pemodelan spasial kecelakaan lalu lintas dengan bantuan perhitungan statistik dan Sistem Informasi Geografis (GIS). Data kecelakaan lalu lintas dihimpun dari Direktorat Lalu Lintas Kepolisian Daerah Jawa Timur (Ditlantas Polda Jatim), kemudian dilakukan identifikasi karakteristik kecelakaan lalu lintas Surabaya. Setelah itu dilakukan pemodelan spasial menggunakan analisis hot spot untuk memetakan daerah rawan kecelakaan di Surabaya dan Count Incident by Line of Communication untuk memetakan frekuensi kecelakaan di setiap ruas jalan. Berikutnya, dilakukan analisis faktor-faktor yang berpengaruh terhadap kecelakaan, menggunakan chi-kuadrat, koefisien kontingensi, dan uji T. Hasil penelitian menunjukkan bahwa bahwa faktor penggunaan lahan, tipe jalan, jumlah arah, jumlah lajur, dan keberadaan median memiliki pengaruh yang signifikan terhadap kecelakaan lalu lintas di Surabaya. Informasi ini berguna bagi pembuat kebijakan di bidang tata ruang dan transportasi untuk merumuskan strategi yang dapat mengurangi angka kecelakaan lalu lintas Surabaya. ===================================================================================================== Traffic accidents are one of the leading causes of death. According to Land Transportation Statistics, East Java Province has contributed to the highest number of traffic accidents in Indonesia in 2018. Surabaya, which is the capital of East Java Province, has had an increasing number of traffic accidents from 2014-2017. Based on previous studies, the number of traffic accidents involving motorcycles is higher than any other modes of transportation. There is a lack of studies in analyzing factors causing traffic accidents from a spatial planning perspective, especially in Surabaya City. This study is dedicated to add perspective on the major causes of traffic accidents from spatial planning perspective by conducting spatial modeling on traffic accidents. The statistical approach and Geographical Information System (GIS) were used as tools of analysis.The traffic accident data is compiled from the Directorate of Traffic Police of East Java (Ditlantas Polda Jatim). Research stages as follows. Firstly, identifying the characteristics of Surabaya traffic accidents. Secondly, conducting spatial modeling using Hotspot Analysis to map the accident-prone areas in Surabaya and Count Incident by Line of Communication Analysis to map the frequency of accidents on each road segment. Thirdly, an analysis of the factors that influence accidents is carried out using the chi-square, contingency coefficient, and the T test. The results showed that the land use factor, road type factor, number of directions, number of lanes, and the existence of the median had a significant effect on traffic accidents in Surabaya. This information is useful for policy makers in spatial planning and transportation areas to formulate strategies that can reduce the number of traffic accidents in Surabaya.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Kecelakaan lalu lintas, Pemodelan spasial, Sistem informasi geografis, Surabaya, Transportasi, Geographic Information System, Spatial Modeling, Surabaya, Traffic accident, Transportation
Subjects: H Social Sciences > HE Transportation and Communications > HE5614.3.N5 Traffic accidents
Q Science > QA Mathematics > QA278.5 Principal components analysis. Factor analysis. Correspondence analysis (Statistics)
Divisions: Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Regional & Urban Planning > 35201-(S1) Undergraduate Thesis
Depositing User: Yulia Yarsi Nur Adlina
Date Deposited: 05 Mar 2021 01:34
Last Modified: 05 Mar 2021 01:34
URI: https://repository.its.ac.id/id/eprint/82973

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