Truck Parking Classification
Classify Truck Parking by Function—not Just Ownership
“Public” and “private” are too blunt for today’s truck parking system. A functional classification better reflects how sites operate, what drivers need, and which facilities are strongest candidates for safety, electrification, and freight funding.
Why the public-private split falls short
Traditional inventories group facilities into two buckets. That keeps ownership visible, but it hides the operational differences that matter for planning.
Public
Rest areas, service plazas, weigh stations, and pull-out areas are often counted together even though they differ in size, access, and amenities.
Private
Full-service truck stops, fuel stations, retail parking lots, and undesignated spaces are also grouped together despite serving very different needs.
Amenities are not comparable
A full-service truck stop with showers and Wi-Fi does not function like a fuel-only site or a small convenience-store lot.
Capacity is not comparable
A 50-space travel center and a 5-space lot may both count as “private,” but they serve very different levels of demand.
Safety and legality differ
Highway shoulders and ramps may appear in the same broad class as legitimate parking sites even though they reflect system failure and higher risk.
Usage is driven by function
Drivers choose sites based on location, amenities, and availability— not simply on who owns the property.
What prior research already shows
Recent studies show that truck parking problems are shaped by much more than ownership.
Anderson et al. (2018)
Anderson and colleagues identified multiple factors influencing parking difficulty, including driver characteristics, cargo type, information availability, and amenities such as showers.
One important takeaway: drivers who received parking information or had access to better amenities reported fewer parking difficulties.
Nevland et al. (2020)
Nevland and colleagues showed that illegal truck parking is often a symptom of infrastructure gaps, not simple driver negligence.
By identifying nine truck parking types, they demonstrated that “public” versus “private” does not explain why drivers end up on unsafe options such as highway shoulders.
Two planning problems the binary system creates
1. Inaccurate demand forecasting
A casino lot, a warehouse lot, and a premium full-service stop may all count as “private,” even though they attract different drivers, support different dwell times, and offer different capacity.
2. Missed funding opportunities
Federal programs such as the National Highway Freight Program reward specific safety, capacity, resiliency, and implementation logic. That case is harder to make when all parking is counted in coarse categories.
A data-driven alternative: clustering by function
Our team analyzed 11,000+ U.S. truck parking locations and grouped them into five functional clusters using operational characteristics instead of ownership alone.
Inputs used for clustering
- Parking traits: type, capacity, and fees
- Amenities: food, showers, and Wi-Fi
- Traffic context: truck volume and AADT
The result is a classification system that better reflects how sites are actually used and where they fit within a freight network.
Why this matters for planners
A functional classification is not just descriptive. It helps states act.
Funding eligibility
Clustering helps show which sites best align with safety, resilience, and electrification goals in competitive grant programs.
Capacity expansion
States can focus on clusters where relatively small upgrades—such as lighting or security—could reduce unsafe roadside parking.
Public-private coordination
Some larger private sites may have underused potential that could be unlocked through incentives, zoning flexibility, or partnership models.
Driver-centered design
Higher-amenity clusters more closely match the preferences drivers have expressed in past surveys, especially around comfort and security.
How a smarter classification supports better projects
Target investment
Use clusters to identify high-need public rest areas and mixed-use sites where demand is strong and capacity shortfalls are most harmful.
Improve safety
Prioritize clusters tied to undesignated parking behavior so that infrastructure spending directly reduces shoulder and ramp parking.
Strengthen grant applications
Detailed functional data gives agencies a clearer story about need, site suitability, and expected benefits—exactly what competitive funding programs tend to reward.
From labels to solutions
The public-private split is a legacy shortcut. Today’s freight network needs a classification system that reflects how parking actually works.
- Target investments where demand most clearly exceeds supply.
- Support partnerships with private operators where expansion is feasible.
- Design safer, smarter facilities that drivers will actually use.
The goal is not just to count spaces. It is to build a more resilient freight network—and that starts with better categories.
Latest Articles/Posts
Authored, reviewed, and approved by Troy Choi, Ph.D., P.E. – Transportation Systems Optimization & Engineering Research. Google Scholar (as of 2025): Citations 168 | h-index 4 | i10-index 4