Âé¶¹ÒùÔº

June 26, 2014

Get tougher on texting while driving, Americans say

Poll finds support for stricter enforcement, harsher penalties.
× close
Poll finds support for stricter enforcement, harsher penalties.

(HealthDay)—Many Americans want stricter enforcement of texting-while-driving laws and stiffer penalties for violators, according to a new survey.

The National Safety Council poll found that 73 percent of respondents wanted more enforcement of texting and driving laws, compared with 22 percent who found current enforcement levels satisfactory.

When asked about punishments for violators, 52 percent of respondents favored a point system that could lead to the loss of a driver's license or higher car insurance costs. About half supported large fines, and half said there should be different levels of penalties for first and repeat offenders.

"For years, there has been widespread opposition to texting behind the wheel," safety council president and CEO Deborah Hersman said in a council news release. "Today, the polls show the public is behind stronger penalties because most people recognize that it will take more than awareness campaigns to stop this dangerous behavior."

The poll findings were released as part of National Safety Month in June.

No state bans all use while driving. Thirteen states and the District of Columbia ban the use of handheld cellphones by drivers, and 44 states and the District of Columbia ban texting while driving.

Talking on a cellphone—either handheld or hands-free—is believed to be a factor in 21 percent of crashes. An additional 5 percent of crashes are related to , according to the council.

The council offered the following tips to prevent distracted driving:

More information: The U.S. National Highway Traffic Safety Administration has more about .

Load comments (1)

This article has been reviewed according to Science X's and . have highlighted the following attributes while ensuring the content's credibility:

Get Instant Summarized Text (GIST)

This summary was automatically generated using LLM.