Work Zone Driver Experience Survey

What 1,192 Northeast drivers told us about driving through work zones: what actually prompts them to slow down, how professional drivers differ from everyone else, where they get their information, and what frustrates them most.

How the survey was run

The project's Facebook recruitment ad: the words 'Northeast Drivers Wanted' over a photo of a highway work zone at dusk, with a map of the nine Northeast states.

An example of the geo-targeted Facebook ad used to recruit respondents.

  • 1,192 respondents across the nine Northeast states, recruited through geo-targeted Facebook advertising.
  • Administered on the Qualtrics platform under UMass Amherst IRB Protocol #6509.
  • 380 free-form comments coded by theme for qualitative analysis.
  • Findings were triangulated with the state of the practice review and the crash data analysis.

How responses were compared

Differences between groups were tested with the Mann-Whitney U test, a non-parametric method. Unlike a t-test, it does not assume the data are normally distributed, which makes it appropriate for ordinal survey responses such as Likert-scale ratings. It compares whether the distribution of responses between two groups is meaningfully different without assuming the shape of the underlying data. (For a technical reference, see the NIST/SEMATECH e-Handbook of Statistical Methods.)

Three sets of comparisons were run:

  • Professional vs. non-professional: drivers with a commercial driver's license (CDL) compared with non-CDL drivers, to see whether driving for a living changes work zone experience.
  • By age: each age group compared against the 35 to 50 group, used as the reference because it was well represented and central to the driving population.
  • By state: each state compared against the rest of the region, to surface geographic differences.

Who responded and where

Responses were not evenly distributed. Massachusetts accounted for the largest share, likely because Facebook's ad-serving algorithm showed the survey more often to Massachusetts users given the UMassSafe name. This uneven distribution is a limitation to keep in mind when reading state-level results.

59 80 401 60 96 285 143 33 34

Select or hover a state to see its respondent count, or read the full table below.

Survey respondents by state and age group
State Under 35 35 to 50 51 to 65 65+ Total Share
Connecticut3133310595%
Maine3143033807%
Massachusetts288517111740134%
New Hampshire491928605%
New Jersey5124633968%
New York194510311828524%
Pennsylvania729495814312%
Rhode Island281112333%
Vermont39148343%

Counts total 1,191 across states; the full sample was 1,192 respondents. Older drivers are well represented, which is relevant because age was one of the strongest predictors of attitudes (below).

Beliefs and safety culture

The survey included six belief questions (rated 1 for disagree to 5 for agree) about enforcement, personal behavior, and social expectations in work zones. The chart below shows, for each belief, which states differed significantly from the rest of the region. New York stood out as consistently more safety-minded; Connecticut, Massachusetts, Rhode Island, and Vermont tended to agree less.

How each state compared with the rest of the region on six belief questions. An upward triangle means the state agreed significantly more than the regional average; a downward triangle, significantly less; a dot, no significant difference.
BeliefCTMEMANHNJNYPARIVT
Police will stop careless driverslower than the regionno significant differencelower than the regionhigher than the regionno significant differencehigher than the regionno significant differenceno significant differencelower than the region
Willing to slow down even moreno significant differenceno significant differenceno significant differenceno significant differencehigher than the regionhigher than the regionno significant differenceno significant differenceno significant difference
Most drivers already drive cautiouslylower than the regionno significant differenceno significant differenceno significant differenceno significant differencehigher than the regionno significant differencelower than the regionno significant difference
Friends and family expect cautionno significant differenceno significant differenceno significant differenceno significant differenceno significant differenceno significant differenceno significant differenceno significant differenceno significant difference
I slow more when I know work is activeno significant differenceno significant differenceno significant differenceno significant differenceno significant differenceno significant differenceno significant differenceno significant differenceno significant difference
Nav-app alerts make me slow downno significant differenceno significant differenceno significant differenceno significant differenceno significant differenceno significant differenceno significant differenceno significant differenceno significant difference

What each belief showed

  • Drivers who speed or drive carelessly in work zones are likely to be stopped by police. New York and New Hampshire agreed more strongly than the region; Connecticut, Massachusetts, and Vermont agreed less, pointing to weaker perceived enforcement there.
  • Even if I am already driving more cautiously than others, I am happy to slow down even more in a work zone. New Jersey and New York agreed more strongly. CDL drivers and drivers 65 and older also agreed more than their comparison groups.
  • Most drivers try to reduce their speed and drive more cautiously in work zones. Drivers 51 and older agreed more. CDL drivers agreed less, reflecting skepticism about how other drivers actually behave.
  • My friends and family expect me to reduce my speed and drive more cautiously in work zones. No significant state or professional differences; only drivers 65 and older agreed more than the 35 to 50 group.
  • When I know road work is actively happening, I slow down even more, because I have lost trust in signs, cones, or lane shifts that stay up too long. No significant state or age differences; CDL drivers agreed more than non-CDL drivers.
  • When I receive a navigation-app alert of a work zone, I am more likely to reduce my speed and drive more cautiously. No significant state differences; drivers 65 and older and CDL drivers agreed more than their comparison groups.

Cross-cutting patterns: drivers 65 and older agreed more strongly on nearly every belief, indicating a stronger safety culture. Professional (CDL) drivers agreed more on items tied to their own actions, such as slowing down when work is visibly active and responding to navigation-app alerts, but agreed less that other drivers behave cautiously.

What prompts safe driving in work zones

Respondents rated how effective different countermeasures are at prompting them to drive safely. Visible human presence and physical cues consistently outperformed informational signs.

Share of respondents rating each countermeasure effective

  • Roadway worker presence88%
  • Heavy equipment presence85%
  • Active flaggers85%
  • Police details79%
  • Speed safety cameras75%
  • Cones and barriers74%
  • Lanes narrowed or shifted66%
  • Speed feedback signs (your speed)61%
  • Digital message boards60%
  • Flashing speed limit signs57%
  • Penalty signs (fines doubled)39%

Share of the 1,192 respondents rating each measure effective.

Takeaway: drivers respond to visible human presence and physical cues (workers, equipment, flaggers) far more than to informational signs alone. Penalty signs, the lowest-rated measure, were rated effective by only 39% of respondents.

Important: these countermeasures work together, not in isolation. A lower effectiveness rating does not mean a measure should be dropped. Layered countermeasures reinforce one another, and tools such as signs and message boards remain essential for legal, safety, and traveler-information reasons even when drivers rate them less influential on their own. The ratings show what most prompts drivers to slow down, not which measures to keep or remove.

Examples of the images shown to respondents

Respondents rated each countermeasure after viewing an example image. A selection of those images is shown below.

Professional vs. non-professional drivers

Comparing drivers with a commercial driver's license (CDL) against non-CDL drivers revealed a consistent pattern: professional drivers respond more strongly to enforcement and penalty cues, and to information, but are more skeptical that other drivers behave safely.

Where professional (CDL) drivers responded more strongly

  • Penalty signs (fines doubled): CDL drivers were more likely than non-CDL drivers to slow down for a sign warning of doubled fines, suggesting professional drivers are more influenced by the prospect of fines.
  • Speed safety cameras: CDL drivers were more strongly influenced to slow down for speed safety cameras than non-CDL drivers, reinforcing that penalties and enforcement weigh more heavily on professional drivers.
  • Heavy equipment near the road: CDL drivers were more likely to rate the visibility of heavy equipment as an effective prompt to drive safely.
  • Navigation-app alerts: CDL drivers reported being more likely to slow down after a navigation-app work zone alert.
  • Acting on known active work: CDL drivers more strongly agreed that when they know work is actively happening, they slow down further because they have lost trust in signs, cones, or lane shifts that stay up too long.

Where professional drivers were more skeptical

  • Trust in other drivers: CDL drivers rated the belief that "most drivers try to reduce their speed and drive more cautiously in work zones" lower than non-CDL drivers, reflecting more skepticism about how others actually behave.

Age followed a similar arc: drivers 65 and older rated nearly every safety measure and belief higher than the 35 to 50 reference group, while drivers under 50 were consistently the hardest to reach. New York respondents were the most consistently positive across measures, in several cases aligning with the state's use of speed safety cameras.

How drivers get work zone information

Navigation apps and social media, not official state channels, are where most drivers learn about work zones. Choose a state to see its own pattern; a red line then marks where the rest of the region sits on each source.

Respondents could select multiple sources. When a single state is shown, the red line marks the rest of the region (all other states, respondent-weighted) for that source.

Show the full per-state table
Share of respondents using each information source, by state
StateGoogle MapsSocial mediaRadioWazeNews outletsWord of mouthState 511 servicesApple MapsTrucker PathReceive no work zone information
Connecticut31%27%32%31%18%22%11%8%5%8%
Maine29%27%28%16%15%20%6%8%7%12%
Massachusetts36%31%25%29%18%18%6%7%4%10%
New Hampshire35%31%20%28%11%18%9%3%5%22%
New Jersey33%32%34%30%20%14%12%4%5%6%
New York36%28%32%19%23%17%14%8%4%11%
Pennsylvania36%34%28%19%25%20%31%4%4%9%
Rhode Island27%40%29%24%29%24%0%9%0%18%
Vermont36%46%13%21%21%18%31%8%5%15%
Regional total35%31%28%24%20%18%13%6%4%11%

Information changes how drivers respond to delay

Drivers who receive work zone information ahead of time make more measured rerouting decisions; those who do not are more likely to divert for only a minor slowdown.

How much delay would prompt a driver to alter their route, by whether they receive work zone information
ResponseReceive informationDo not receive information
Would avoid any or all work zones25%21%
Only for a slowdown or lane shift11%23%
Less than 5-minute delay12%11%
5 to 10-minute delay26%21%
10 to 20-minute delay15%11%
More than 20-minute delay8%7%
Would not alter route regardless4%7%

What drivers told us

The 380 free-form comments were coded into themes. Two dominate: a perceived lack of meaningful enforcement, and unsafe driver behavior. A credibility gap runs through the results: police details rated effective in concept (79%), yet the single most common complaint (208 comments) was that enforcement often appears inactive. Choose a state to read its own comment summary and ranked themes.

Free-form comment themes across the region, by number of comments
ThemeCommentsWhat respondents said
Enforcement failures: no enforcement or ineffective police details208The most common complaint. Drivers say police do not enforce speed limits, are inattentive, or absent; many describe work zones with no perceived enforcement.
Unsafe driver behavior (speeding, distraction, tailgating, aggressive merging)164Respondents widely described drivers speeding, tailgating, last-second merging, phone use, or driving through active work areas.
Stale, misleading, or incorrect signs and inactive work zones123Frequent frustration with signs left up when no work is happening, plus misleading details such as inaccurate taper lengths and unclear lane closures.
Blinding or excessive lighting74Poorly aimed nighttime lights, overly bright towers, and daytime glare making work zones hazardous.
Hazardous lane shifts, narrow lanes, poor design42Tight lanes, poor lane striping, excessive barrels, and lane shifts that did not match expectations.
Roadway worker near misses and unsafe interactions40Workers, flaggers, and DOT staff reported dangerous close calls, lack of driver awareness, and poor protection.
Support for speed safety cameras41 for, 6 againstStrong interest in speed safety cameras as a substitute for ineffective police details; a small minority opposed.
Concern about too many simultaneous work zones17Some respondents believe too many concurrent work zones create confusion, frustration, and safety issues.
Requests for clearer lane-closure messaging and zipper merge13Drivers want earlier warnings, better merge communication, and standardized zipper merging.
Nighttime hazards beyond lighting6Rare but severe reports of drivers entering job sites or crossing into work areas at night.
Police-caused backups or unsafe stops3A small set cited police stopping traffic in ways that created dangerous bottlenecks.

Within a state, theme counts can add to more than the comment total because a single comment may touch several themes.

The full survey report, including complete question-level results and statistical detail, will be posted on this site when published.