Tên bài báo:

Policy Implications from Traffic Accident Analysis: A Study Case from Vietnam
Tác giả:
Trương Thị Mỹ Thanh
Tham gia cùng:
Tạp chí:
CIGOS 2019, Innovation for Sustainable Infrastructure
Năm xuất bản:
Từ trang 1043 đến trang 1048
Lĩnh vực:
Kinh tế - vận tải
Phạm vi:
Quốc tế

Tóm tắt:

According to the statistics of Vietnam, the impact of traffic accidents cost accounts for 2.5% of GDP. Thus, evaluating and analyzing the damages caused by traffic accidents has become more significant during the last decades. It is necessary to find out the effective approaches to identify the influencing factors of traffic accidents. Among many regression accident-frequency models, Classification and Regression Tree Analysis (CART), one of the most popular data mining techniques and has been applied in many areas of business administration, medicine, industry, and engineering fields, etc., is invited in analyzing traffic safety problems. The results showed that when there are motorcyclists involved in accident, the probability of fatality increases up to 61%. Therefore, searching the solutions for ensuring motorcycle safety should be placed on the first priority in Vietnam.

Từ khóa:

Road traffic accidents fatality injury model
Thông tin tác giả
Trương Thị Mỹ Thanh

Trương Thị Mỹ Thanh

Tiến sĩ kỹ thuật

Lý lịch khoa học