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Insights for Improving Road Safety : Focusing on Vehicle Accidents in Daegu Metropolitan City

  • Mee Qi Siow (Department of Management Information Systems in Keimyung University) ;
  • Yang Sok Kim (department of Management Information Systems, Keimyung University) ;
  • Mi Jin Noh (Management Information Systems from Kyungpook National University) ;
  • Choong Kwon Lee (Keimyung University) ;
  • Sang Ill Moon (Graduate School of Business Administration in Yeungnam University) ;
  • Jae Ho Shin (Department of Management Information Systems in Keimyung University)
  • 투고 : 2023.10.06
  • 심사 : 2023.11.22
  • 발행 : 2023.12.29

초록

Road accidents not only caused loss of human lives but also costed 3% of gross domestic product in most of the countries. The road accidents pose significant challenges to public safety and urban transportation management. There is a need to identify the high-risk area of accidents along with the critical day of week and vulnerable time period in order to implement effective preventive measures and optimizing the resource allocation. We collected 5,012 accident data from 대구교통종합정보. This study identified the high-risk locations, days of week, and time periods for accidents in Daegu and estimated the conditional probabilities of accidents occurring based on combinations of location, day of the week, and time period. The result is visualized in the form of dashboard in Tableau. This study holds substantial practical significance for urban planners, transportation authorities, and policymakers in Daegu to strategically allocate resources for traffic management, law enforcement, and targeted safety campaigns.

키워드

과제정보

This work was supported by Keimyung University.

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