International Research Progress on Traffic Accident based on Bibliometric Analysis Method

Jie Zhang, Yu Zhang, Hao Wang, Yuanyuan Yu

2022

Abstract

It is important to research on the characteristics, distribution rules, and mechanisms of traffic accidents, which are carried out to explore the deep-seated causes of accidents. Based on bibliometric analysis method, this paper conducts a quantitative analysis of 8125 papers in the field of traffic accident research from the past five years. It is concluded that the most important document source in the current traffic accident field is Accident analysis and prevention, the most important research countries are the United States and China, and the most important research institutions are Tsinghua University and Tongji University. The main research hotspots are traffic accident severity analysis, statistical analysis of traffic accidents, short-term prediction of traffic accidents, prediction of traffic accident severity, and analysis of the impact of dynamic factors such as weather on accidents. It has certain reference significance for domestic scholars to intuitively understand the topics that have not been fully researched in our country and the gap between existing research and foreign frontier fields through comparison.

Paper Citation

in Harvard Style

Zhang J., Zhang Y., Wang H. and Yu Y. (2022). International Research Progress on Traffic Accident based on Bibliometric Analysis Method. In Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI; ISBN 978-989-758-620-0, SciTePress, pages 5-10. DOI: 10.5220/0011701400003607

in Bibtex Style

@conference{icpdi22,
author={Jie Zhang and Yu Zhang and Hao Wang and Yuanyuan Yu},
title={International Research Progress on Traffic Accident based on Bibliometric Analysis Method},
booktitle={Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI},
year={2022},
pages={5-10},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011701400003607},
isbn={978-989-758-620-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI
TI - International Research Progress on Traffic Accident based on Bibliometric Analysis Method
SN - 978-989-758-620-0
AU - Zhang J.
AU - Zhang Y.
AU - Wang H.
AU - Yu Y.
PY - 2022
SP - 5
EP - 10
DO - 10.5220/0011701400003607
PB - SciTePress