Ulsan City to Completely Revamp Roads with Frequent Traffic Accidents

Start of This Year's Traffic Safety Environment Improvement Project ... 1.4 Billion KRW Invested
Improvement of Traffic Islands and Safety Facilities at 12 Locations Including in Front of Jung-gu Anguk Korean Medicine Clinic

[Asia Economy Yeongnam Reporting Headquarters Reporter Kim Yong-woo] Ulsan City has launched a project targeting areas with frequent traffic accidents on city roads to reduce accidents.

On the 10th, the city announced that it will officially implement the '2020 Traffic Accident Frequent Area Improvement Project' to create a safer traffic environment.

This project is being promoted with the local traffic safety environment improvement budget, with a total investment of 1.434 billion KRW, receiving 50% support from national subsidies.

This year's project sites include 11 intersections such as the intersection in front of Anguk Korean Medicine Clinic in Jung-gu, and a total of 12 locations including a 1km road section from Hyundai Beach Apartments on Kkotbawi-ro in Dong-gu to in front of Bangojin Elementary School.

Since the end of last year, the city has jointly analyzed accident occurrence rates and accident risk levels with the National Police Agency and the Korea Road Traffic Authority to select the sites. The Korea Road Traffic Authority, a national expert organization in traffic safety, prepared basic improvement plans for each site.

The main improvements include expanding traffic islands, installing lane separators, installing speed and signal violation enforcement cameras and forward-facing traffic lights, and installing lighting towers at intersections, either by newly installing or supplementing traffic safety facilities.

An official from Ulsan City said, "We will continue efforts to reduce traffic accidents by eliminating frequent traffic accident factors, allowing drivers to drive safely and protecting pedestrians from passing vehicles."

Ulsan City has been promoting the 'Traffic Accident Frequent Area Improvement Project' since 2016 and has completed the project at a total of 31 locations up to last year.

This content was produced with the assistance of AI translation services.