News

SUV Crashes Into Daycare Center After Plowing Through Fence, Driver Claims Sudden Unintended Acceleration

[Anchor]

In downtown Gwangju, an SUV driven by a man in his 80s crashed into a daycare center. Fortunately, the children were in a different classroom away from the impact zone, avoiding a major disaster. The driver claimed that the vehicle suffered from sudden unintended acceleration.

Im Kyung-seob from KBC reports.

[Reporter]

On a road in Seo-gu, Gwangju.

An SUV that collided with a taxi charges straight into a commercial building on the opposite side.

A passing pedestrian recoils in shock, and people rush outside.

The incident occurred at around 9:00 a.m. today (October 28), when the SUV driven by a man in his 80s barreled into a daycare center.

After exiting the underground parking lot, the SUV struck a passing taxi, broke through a fence, and plowed straight ahead.

The crash left the SUV driver and the taxi driver in his 70s with minor injuries, and both were transported to a hospital.

At the time, five children had arrived at the daycare center, but fortunately, no casualties occurred as they were gathered in a classroom away from the impact zone.

[Daycare Official: Fortunately, early in the morning when only one or two children arrive early, we gather them together and look after them in a different classroom, so this area was empty.]

Police confirmed that the SUV driver was neither unlicensed nor driving under the influence, and he reportedly claimed sudden unintended acceleration during police questioning.

Police have booked the SUV driver on charges of causing bodily injury due to traffic negligence under the Act on Special Cases Concerning the Settlement of Traffic Accidents and are investigating the exact cause, including analyzing the vehicle event data recorder.

(Video by: Chang Chang-geon, Kim Jong-won / KBC)

Im Kyung-seob, KBC
※ Please note: This article was translated by AI and may contain errors.
Copyright Ⓒ SBS & SBSi. All rights reserved.
Copying, redistribution, and unauthorized use in AI training are strictly prohibited.

Most Read