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.
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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:	http://repository.its.ac.id/id/eprint/82973

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