Modelling of Pedestrian Severity Factors in Traffic Accident in Depok

Asri Widyaningrum, Martha Leni Siregar

Research output: Contribution to journalConference articlepeer-review


Purpose: Every country has a transportation system problem that can be solved in various different ways. But often, handling the transportation system is not accompanied by an increase in road facilities for vulnerable road users. One of them and the most often ignored is the provision of adequate facilities for pedestrians. Especially for big cities that are developing in Indonesia, such as satellite cities around Jakarta. Depok as satellite cities in Jakarta also have the same problem. As a result, the rapid population growth followed by vehicle growth and not being accompanied by good regional planning can harm the community, especially pedestrians. This study aims to modeling pedestrian severity factors in traffic accident in Depok. Methodology: The pedestrian severity observed was death, heavy injury and minor injury. Analysis carried out using multinomial logistic regression method so that later the opportunity model will be generated for the severity of traffic accidents based on prediction variables that have been tested. Results: The result, a statistically significant factor affecting the severity of pedestrian accident victims is the age of pedestrians and type of vehicle. Applications/Originality/Value: This study aims to determine the factors that cause pedestrian accidents in the city of Depok based on their severity. By knowing the factors that cause pedestrian accidents, it is hoped that the Depok city government can take further action to reduce the number of traffic accidents, especially those involving pedestrians as vulnerable road users.

Original languageEnglish
Article number012066
JournalJournal of Physics: Conference Series
Issue number1
Publication statusPublished - 22 Apr 2021
Event7th International Conference on Engineering, Technology, and Industrial Application, ICETIA 2020 - Virtual, Online, Indonesia
Duration: 8 Dec 20209 Dec 2020


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