Prediction model of cyclist's accident probability in the City of Malang

Imma Widyawati Agustin; Muhammad Zainul Arifin

doi:10.1051/matecconf/201818104003

Prediction model of cyclist's accident probability in the City of Malang

Imma Widyawati Agustin^*
, Muhammad Zainul Arifin

^*Corresponding author for this work

Faculty of Engineering

Research output: Contribution to journal › Conference article › peer-review

Abstract

The development of transport is currently very rapid. This is because the increasing needs of the community, is directly proportional to the needs of public transport modes need to be able to support their activities. Malang is the second largest city in East Java province that has transportation problems such as traffic jams and high accident rate. The main purpose of the research is to create prediction model of cyclists' accident probability in the City of Malang. The research used frequency analysis and logistic regression analysis. The results showed that The prediction model of cyclists' accidents involving bicycle users in the City of Malang was formulated with P =1/1+e^{-(-1.047+1.103x₃+1.617x₆-1.965x₁₅+2.029x₁₆+1.057x₂₄)} with X3 = income, X6 = ownership of bicycle, X15 = behavior of check the brakes, X16 = behavior of check the tires, and X24 = cycling in groups.

Original language	English
Article number	04003
Journal	MATEC Web of Conferences
Volume	181
DOIs	https://doi.org/10.1051/matecconf/201818104003
Publication status	Published - 30 Jul 2018
Event	1st International Symposium on Transportation Studies for Developing Countries, ISTSDC 2017 - Makassar, Indonesia Duration: 4 Nov 2017 → 4 Nov 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 11 Sustainable Cities and Communities

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10.1051/matecconf/201818104003

Cite this

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title = "Prediction model of cyclist's accident probability in the City of Malang",

abstract = "The development of transport is currently very rapid. This is because the increasing needs of the community, is directly proportional to the needs of public transport modes need to be able to support their activities. Malang is the second largest city in East Java province that has transportation problems such as traffic jams and high accident rate. The main purpose of the research is to create prediction model of cyclists' accident probability in the City of Malang. The research used frequency analysis and logistic regression analysis. The results showed that The prediction model of cyclists' accidents involving bicycle users in the City of Malang was formulated with P =1/1+e-(-1.047+1.103x3+1.617x6-1.965x15+2.029x16+1.057x24) with X3 = income, X6 = ownership of bicycle, X15 = behavior of check the brakes, X16 = behavior of check the tires, and X24 = cycling in groups.",

author = "Agustin, \{Imma Widyawati\} and Arifin, \{Muhammad Zainul\}",

note = "Publisher Copyright: {\textcopyright} 2018 The Authors, published by EDP Sciences.; 1st International Symposium on Transportation Studies for Developing Countries, ISTSDC 2017 ; Conference date: 04-11-2017 Through 04-11-2017",

year = "2018",

month = jul,

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doi = "10.1051/matecconf/201818104003",

language = "English",

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journal = "MATEC Web of Conferences",

issn = "2261-236X",

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T1 - Prediction model of cyclist's accident probability in the City of Malang

AU - Agustin, Imma Widyawati

AU - Arifin, Muhammad Zainul

PY - 2018/7/30

Y1 - 2018/7/30

N2 - The development of transport is currently very rapid. This is because the increasing needs of the community, is directly proportional to the needs of public transport modes need to be able to support their activities. Malang is the second largest city in East Java province that has transportation problems such as traffic jams and high accident rate. The main purpose of the research is to create prediction model of cyclists' accident probability in the City of Malang. The research used frequency analysis and logistic regression analysis. The results showed that The prediction model of cyclists' accidents involving bicycle users in the City of Malang was formulated with P =1/1+e-(-1.047+1.103x3+1.617x6-1.965x15+2.029x16+1.057x24) with X3 = income, X6 = ownership of bicycle, X15 = behavior of check the brakes, X16 = behavior of check the tires, and X24 = cycling in groups.

AB - The development of transport is currently very rapid. This is because the increasing needs of the community, is directly proportional to the needs of public transport modes need to be able to support their activities. Malang is the second largest city in East Java province that has transportation problems such as traffic jams and high accident rate. The main purpose of the research is to create prediction model of cyclists' accident probability in the City of Malang. The research used frequency analysis and logistic regression analysis. The results showed that The prediction model of cyclists' accidents involving bicycle users in the City of Malang was formulated with P =1/1+e-(-1.047+1.103x3+1.617x6-1.965x15+2.029x16+1.057x24) with X3 = income, X6 = ownership of bicycle, X15 = behavior of check the brakes, X16 = behavior of check the tires, and X24 = cycling in groups.

UR - https://www.scopus.com/pages/publications/85055312919

U2 - 10.1051/matecconf/201818104003

DO - 10.1051/matecconf/201818104003

M3 - Conference article

AN - SCOPUS:85055312919

SN - 2261-236X

VL - 181

JO - MATEC Web of Conferences

JF - MATEC Web of Conferences

M1 - 04003

T2 - 1st International Symposium on Transportation Studies for Developing Countries, ISTSDC 2017

Y2 - 4 November 2017 through 4 November 2017

ER -

Prediction model of cyclist's accident probability in the City of Malang

Abstract

UN SDGs

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