UNSPSC 72141602: Right of way cutting service

The building and cutting of right of ways owned by others

UNSPSC 72141602 Right of way cutting service, a Commodity code, shows minimal relevant recent state and local activity — the source records no solicitations for right-of-way cutting, vegetation management, or roadside clearance work that would align with the code's nominal scope. The recent opportunities posted under this code identifier consist almost entirely of transit authority component and parts procurement: lighting panels, LED signal assemblies, circuit breakers, batteries, cable ties, contact cleaners, and specialized electrical equipment for rail and bus operations. One outlier entry—a Caltrans A&E on-call land surveying services contract for District 8 (San Bernardino and Riverside counties) with an estimated value of $2,428,285 to $3,945,963 over four years—represents professional services, not right-of-way cutting. The code appears to have been misapplied to transit equipment purchasing rather than the right-of-way maintenance and vegetation control work its title suggests.

Dallas Area Rapid Transit Authority (DART) dominates the recent posting activity, with nineteen of twenty opportunities between May and October 2026 soliciting small-to-medium replacement and maintenance parts through purchase orders via the BONFIRE platform. These are RFQ-type solicitations with response windows of five to fourteen days, requiring FOB Destination shipping with freight embedded, Net 30 payment terms, and strict delivery enforcement. The single non-DART entry is the Caltrans surveying SOQ due July 14, 2026, for work spanning District 8 and adjacent counties. The code shows no activity from school districts, municipalities, counties, or other transit authorities. If right-of-way cutting and vegetation management is your target market, this code is not currently active in recent state and local procurement; vendors pursuing transit-authority electrical and mechanical components in Texas may find the DART procurement pattern worth monitoring, but the code classification is a poor fit for operational decision-making.