Economic loss estimation of road traffic accidents considering grey situation decision

被引：0

作者：

Meng X.K. ^{[1
]}

Lu X.Y. ^{[2
]}

Li Z. ^{[3
]}

Liang Y.F. ^{[4
]}

机构：

[1] School of Economics and Management, Beijing Jiaotong University, Beijing

[2] School of Management and Economics, Beijing Institute of Technology, Beijing

[3] Henan Finance University, Zhengzhou

[4] School of Business and Economics, Universiti Putra Malaysia, UPM, Selangor, Serdang

来源：

Advances in Transportation Studies | 2024年 / 1卷 / Speical issue期

关键词：

grey situation decision; Index system; loss estimate; Road traffic accidents;

D O I：

10.53136/979122181230518

中图分类号：

学科分类号：

摘要：

Due to the problem of poor data integrity in the estimation of economic loss in road traffic accidents, the estimation accuracy is not high. In order to effectively improve the performance of economic loss estimation of road traffic accidents, a method of economic loss estimation of road traffic accidents considering grey situation decision is proposed. Based on the grey situation decision theory, the key indicators of economic loss in road traffic accidents are identified, and a comprehensive and complete evaluation index system of economic loss in road traffic accidents is constructed based on the identification results. Then, according to the index system, the economic loss model of road traffic accident personnel and the indirect economic loss model of traffic accidents are constructed to fully estimate the economic loss of road traffic accidents, effectively solve the problem of poor data integrity, and achieve accurate economic loss estimation of road traffic accidents. The experimental results show that the estimation accuracy of the proposed method is always higher than 90%, which can evaluate the economic loss caused by traffic accidents more comprehensively and deeply, and provide decision suPPort for the prevention and compensation of traffic accidents. © 2024, Aracne Editrice. All rights reserved.

引用

页码：195 / 206

页数：11