Wert-Berater, Inc. is an independent truck parking feasibility study consultant preparing lender- and agency-ready studies for secure commercial truck parking, reserved parking facilities, trailer drop yards, and related freight-support developments. Our analysis evaluates corridor truck volumes, overnight parking demand, free and paid competitive supply, paid-parking capture, occupancy, rates, fleet contracts, trailer storage, security investment, operating costs, debt-service coverage, and downside sensitivity.
Prepared for lenders, CDCs, and federal agencies to SBA SOP 50 10 8, USDA 7 CFR Part 5001, and conventional underwriting standards. Fiduciary duty runs to the lender and the agency, never the borrower. 4,000+ engagements since 1998 covering $41.2 billion in evaluated project value. So far in 2026: 41 engagements and $1.54 billion evaluated — 17 SBA, 11 USDA.
Truck-parking feasibility sits on a documented national shortage, but the study tests the specific site: corridor truck volumes and overnight demand patterns, the paid-parking conversion rate against free alternatives, reserved and fleet-contract revenue, trailer-drop and yard-storage demand from regional logistics operators, and the security and amenity investment the rate premium requires. Where paid parking is paired with fuel and driver services on the same parcel, the parking model becomes one revenue center inside a truck stop feasibility study, and coverage is tested on the combined operation.
The analysis uses FHWA and state truck-parking studies, corridor AADT and overnight-demand data, rate surveys of paid parking within the market, and fleet-contract review. The model carries occupancy ramp and rate sensitivity against the program coverage standard.
Every Wert-Berater financial model is fully linked with no hardcoded values, so any reviewer can stress any input. Deliverables comprise a complete narrative report and the linked Excel model, with ten-year pro forma, sensitivity analysis at ±5, 10, and 15 percent, interest-rate stress from +0.5 to +3.0 percent, and ratio analysis benchmarked against RMA and IBISWorld data.
SBA engagements are prepared to SOP 50 10 8, including its debt-service-coverage minimums of 1.15x operating and 1.00x global. USDA engagements follow RD Staff Instruction 5001 across the Business & Industry, Community Facilities, REAP, and Value-Added Producer Grant programs. Conventional engagements are built to the lender's stated coverage standard, typically 1.20x. Roadside and transportation-service projects arrive under SBA 504 and 7(a) for owner-operators — with SOP 50 10 8 special-purpose property treatment addressed where it applies — USDA B&I at qualifying rural locations, and conventional structures for multi-site operators.
The firm’s freight-parking evidence sits inside its travel-center and truck-stop practice, and it is described here as exactly that. The largest such engagement evaluated a 1,000-space interstate travel center and truck stop carrying $48,571,365 in project value under USDA Regulation 5001, where overnight parking capacity, corridor stopping behaviour, and the truck-wash and fueling components were analysed together as one operating system. A separate $13,500,000 major-brand truck stop engagement examined a 6-acre site with gasoline and diesel canopies and its associated parking apron. Both were parking analyses conducted within fuel-led developments rather than standalone paid-parking ventures.
The firm has not published a standalone commercial truck-parking or trailer-drop-yard engagement, and none is claimed here. Where a sponsor is underwriting a dedicated paid-parking facility, the applicable record is the corridor stopping analysis, occupancy modelling, and freight-generator mapping developed in those travel-center studies, together with yard-storage engagements such as a 437-space dry-stack boat and RV storage facility — a storage-yard operating model, not freight parking, and relevant only for its yard utilisation and monthly-rate methodology. Independence is non-negotiable: determinations follow the evidence and are not revised under pressure.
A truck parking feasibility study consultant analyses whether drivers and fleets will pay the proposed rate to park at a specific site, in enough volume and at high enough occupancy to cover operating cost and debt service. Unmet parking need in a corridor is a starting condition, not a conclusion. The analysis works from corridor freight activity down to the paid demand a single site can realistically capture.
A truck parking & trailer drop yard feasibility study covers more ground than a standard commercial real-estate analysis because the revenue stack is layered: nightly transient parking, monthly reserved stalls, fleet-contract blocks, trailer-drop fees, and ancillary yard-storage charges each carry different occupancy patterns, rate points, and churn risk. The study must model each stream independently before consolidating them into a single ten-year pro forma.
A national parking shortage does not prove that a specific private site is feasible. Shortage statistics describe an aggregate imbalance; they say nothing about whether the trucks passing one interchange will divert to one property at one price. The study treats the national picture as context and builds site demand from observable local behaviour.
The analysis examines corridor truck volume and its hourly profile, overnight stopping patterns and where drivers currently stop, the freight generators that produce local dwell — warehouses, distribution centres, manufacturing plants, ports and intermodal terminals — and driver stopping behaviour including hours-of-service timing relative to the site’s position on common runs. Existing supply is inventoried and observed at peak, not assumed from published counts, because a rest area listed at a given capacity may be full by early evening or may sit half-empty. Announced future supply is identified, since a competing facility entering the market during lease-up changes the stabilisation path.
This is the assumption that most often decides whether a paid truck-parking project is feasible, and it is tested rather than asserted. Drivers having difficulty finding parking does not automatically mean they will pay the proposed rate. Many will continue to use a free alternative, accept a longer search, or stop earlier on the run. Conversion depends on who bears the cost, whether the carrier reimburses parking, and whether the driver has any real alternative at the hour they need to stop.
The study tests each alternative in turn: public rest areas and their peak availability, truck-stop parking bundled with a fuel or food purchase, shipper and receiver yards that permit staging, and roadside or industrial-street parking that carries no charge. Against those it weighs what the paid site actually offers — guaranteed availability, security, reservation capability, amenity access, and proximity to the freight generators driving the stop. Where the sponsor's rate assumes a conversion rate that cannot be observed, the study states the assumption plainly and reports coverage across the plausible band rather than presenting one figure as measured demand.
One occupancy assumption applied across the whole facility hides the risk. Transient, reserved, fleet-contract, and monthly or long-term parking behave differently, price differently, and stabilise on different schedules, so each is modelled separately with its own occupancy curve and its own rate.
Transient occupancy is peak-driven and highly variable by night of week, filling in the evening and emptying by morning, which means an annual average conceals both the revenue opportunity and the capacity constraint. Reserved and fleet-contract spaces produce steadier revenue at lower effective rates and may be committed under agreements with term and termination provisions. Monthly and long-term storage behaves closer to a yard-lease product. Stabilisation is modelled as a ramp with its own lease-up assumptions rather than as an occupancy figure applied from opening, and the study reports the month at which the facility first covers debt service.
Trailer storage demand is not identical to overnight tractor-trailer parking, and conflating the two produces a demand base that does not exist. Overnight parking serves a driver who needs to rest and will leave in the morning. A drop yard serves a carrier or shipper who needs to leave equipment standing for days or weeks, with no driver present, often under a monthly agreement and frequently with access, security, and liability terms the overnight product does not require.
The analysis maps regional carriers and their equipment counts, warehouses and distribution centres generating drop-and-hook activity, drayage operations where a container or chassis population needs staging, and the trailer dwell times those operations actually produce. Rates are analysed on a monthly per-stall basis against competing yards and against the cost of a carrier holding equipment on its own property. Where a project depends on drop-yard revenue to reach coverage, the study reports whether the identified carrier base is large enough to fill the yard without a single dominant tenant.
Security and amenity investment is analysed for what it costs and what it actually returns. Fencing, lighting, controlled gate access, camera coverage and monitoring, restrooms, showers, food access, Wi-Fi, and reservation technology each carry capital and operating cost, and each is examined against the competitive set to determine whether it is a differentiator or merely the market’s entry standard.
Amenities are not assumed to earn a rate premium. Where a competing facility already offers the same package at the same price, the investment defends occupancy rather than lifting rate, and the model reflects that. Where a premium is claimed, the study looks for evidence of it in the competitive set’s actual pricing rather than in the sponsor’s expectation. Cargo-security considerations are addressed where the freight mix and location warrant, because a facility marketed on security carries an operating obligation that shows up in staffing and insurance cost.
Break-even is calculated for the specific project at its own rate structure and revenue mix. The study reports the occupancy required to cover operating expense, and the higher occupancy required to cover operating expense plus debt service at the proposed loan structure, with both expressed by category rather than as a single blended figure.
Because the revenue mix drives the answer, a facility leaning on transient nights reaches break-even at a different occupancy than one carrying reserved contracts or monthly trailer storage at lower rates. The projected occupancy path is set against both thresholds to show the headroom and the month coverage is first achieved. No universal break-even occupancy is published, and any figure quoted without the underlying rate structure and cost base should be treated as marketing rather than analysis.
Demand for paid truck parking does not move in lockstep with general commercial real-estate absorption. It follows freight-lane economics, Hours-of-Service compliance pressure, and the practical geography of where a driver can legally stop before a mandatory rest period. The analysis is therefore built corridor-out, not market-in.
Primary data sources include FHWA’s Jason’s Law survey and state-level truck-parking needs assessments, which document the gap between available spaces and peak overnight demand on named corridors. State DOT traffic-monitoring stations supply annual average daily traffic broken out by vehicle class, allowing isolation of combination-truck volumes. Weigh-station transaction records, where accessible through public-records requests, corroborate directional flow and seasonal peaks.
Competitive-supply work draws on state motor-carrier facility licensing registries, county business-license databases, satellite imagery, and direct rate surveys to enumerate every paid-parking alternative within the overnight-range catchment. Rest-area space counts come from state DOT facility inventories. Intermodal ramp and rail-yard drop policies are reviewed through publicly available terminal tariffs and operating rules.
On the demand side, regional logistics activity is cross-checked against freight-broker load-board density, distribution-center permit filings, and industrial park occupancy data from county assessor records. Fleet-contract demand is assessed through direct outreach to regional carriers and third-party logistics operators whose lane patterns intersect the subject site.
A truck parking & trailer drop yard feasibility study turns on a small number of inputs that, when moved modestly, shift the debt-service-coverage ratio from compliant to deficient. Identifying those inputs, testing them independently, and disclosing the break-even level for each is the analytical core of the engagement.
SBA, USDA, and conventional lenders each bring a distinct set of concerns to a truck parking or trailer drop yard credit, and the feasibility study must address all three frameworks when the capital stack involves more than one program.
SBA engagements under SOP 50 10 8 require the study to establish that the project meets the 1.15x operating and 1.00x global debt-service-coverage minimums on supportable, not projected-best-case, assumptions. SBA also applies special-purpose property treatment to facilities whose physical configuration limits alternative use, which affects collateral analysis and the weight given to the income approach. The study addresses both the income supportability question and the special-purpose characterization directly.
USDA Business & Industry engagements at qualifying rural locations require the study to document community economic benefit alongside financial feasibility. Truck-parking and trailer-drop yards serving rural freight corridors can satisfy that requirement through job creation, supply-chain support for agricultural shippers, and reduced driver fatigue incidents on rural highways.
Conventional lenders typically require 1.20x coverage and place greater weight on anchor fleet contracts as evidence of stabilized demand. They also scrutinize pavement and infrastructure capital-expenditure reserves more closely than government-guaranteed programs, because deferred maintenance on a heavy-vehicle facility degrades collateral value rapidly. The study’s cost model and reserve schedule are built to answer that question before it is asked.
Every engagement begins with a fixed fee quoted within one business day of the initial inquiry. The fee does not change based on the study’s finding, and no portion of it is contingent on loan approval or a favorable determination. That structure is not a formality: it is the mechanism that keeps the analysis independent and the conclusion defensible under lender, agency, or third-party review.
Standard delivery runs 10 to 15 business days from receipt of a complete data room. For truck parking and trailer drop yard projects, the data room typically includes site plans and acreage, proposed rate schedules, any executed or letter-of-intent fleet contracts, operator experience documentation, and the lender’s term sheet or program guidance. Rush delivery is available when a credit committee or agency submission deadline requires it.
Once the engagement opens, the financial model is published to a secure client portal as a fully linked Excel workbook with no hardcoded values. The model recalculates live when any input changes, so a credit officer, SBA analyst, or USDA reviewer can stress occupancy, rates, or interest assumptions without requesting a revised report. The narrative report, ten-year pro forma, sensitivity tables, interest-rate stress schedules, ratio analysis, and explicit statement of conditions are all delivered through the same portal. The statement of conditions documents precisely what must remain true for the financial projections to hold, giving the lender a clear framework for ongoing covenant monitoring.
Related project types analysed by the same team, each with its own demand model and its own report structure:
The consultant determines whether drivers and fleets will pay the proposed rate at a specific site, at occupancy high enough to cover operating cost and debt service. That means measuring corridor truck volume and overnight stopping behaviour, inventorying free and paid competing supply, testing paid-parking conversion, modelling occupancy and rate separately for transient, reserved, contract, and monthly product, sizing security and amenity investment, and reporting debt-service coverage under base and downside cases.
Demand is built from local freight activity rather than from national shortage statistics. The analysis examines corridor truck AADT and its hourly profile, overnight stopping patterns and hours-of-service timing relative to the site’s position on common runs, the freight generators producing local dwell, and existing supply observed at peak rather than taken from published capacity counts. Announced future supply is identified, because a competitor opening during lease-up changes the stabilisation path.
Unmet demand describes drivers who cannot find a space. Paid demand describes drivers who will hand over money rather than take a free alternative. The two are not the same, and the gap between them is where paid-parking projects fail. A driver who cannot find parking may stop earlier, use a rest area, stage at a shipper yard, or park on an industrial street. The study measures conversion against those specific alternatives instead of treating a shortage figure as captured demand.
Each alternative is inventoried and observed rather than assumed away: public rest areas and their availability at peak overnight hours, truck-stop parking obtainable with a fuel or food purchase, shipper and receiver yards that permit staging, and roadside or industrial-street parking. The analysis then weighs what the paid site offers against them — guaranteed availability, security, reservations, amenities, and proximity to the freight generators driving the stop — to establish what the site is actually selling.
Occupancy is projected separately for each product rather than as one blended assumption. Transient occupancy is peak-driven and varies sharply by night of week, so it is modelled on a distribution rather than an annual average. Reserved and fleet-contract spaces are modelled at their committed levels and rates. Monthly and long-term storage is modelled closer to a yard lease. Each category carries its own lease-up ramp, and the model reports the month the facility first covers debt service.
They are modelled at negotiated rates rather than transient rates, with term, volume commitment, access provisions, and termination rights reviewed. Only supported commitments are carried in the base case — an executed agreement or letter of intent is evidence, a prospective conversation is not. Where contract revenue is material to coverage, the study reports whether the project services debt without it and runs the loss of a dominant account as a downside case.
Drop-yard demand is calculated from equipment staging needs, not from driver rest needs. The analysis maps regional carriers and their trailer counts, warehouses and distribution centres generating drop-and-hook activity, and drayage operations requiring container or chassis staging, then examines the trailer dwell times those operations produce. Rates are tested on a monthly per-stall basis against competing yards and against a carrier’s cost of holding equipment on its own property.
The supportable rate is derived from the competitive set and from what the site genuinely offers over the free alternative, not from a target the pro forma requires. The study examines published and observed rates at paid competitors, the pricing of reservation products, and whether carriers in the corridor reimburse drivers for parking — a significant determinant, since a reimbursed driver is far less rate-sensitive. Where the assumed rate exceeds the observed market, the study reports coverage at the market rate.
Break-even is calculated twice at the project’s own rate structure: the occupancy required to cover operating expense, and the higher occupancy required to cover operating expense plus debt service at the proposed loan structure. Both are expressed by revenue category rather than blended, because a facility leaning on transient nights breaks even at a different occupancy than one carrying reserved contracts or monthly storage at lower rates.
There is no universal figure, and none is published here. Supportable capacity comes from the site’s own addressable overnight and storage demand, the observed utilisation of existing free and paid supply at peak, the conversion rate the site can realistically achieve at its proposed price, and any announced future supply. A space count that stabilises at an interchange with no paid alternative may be unsupportable a few exits away where a travel center already absorbs the overnight peak.
Wert-Berater quotes a fixed fee within one business day of the initial inquiry. The fee is not contingent on the outcome, does not change based on project size, and is disclosed before the engagement opens. Because the scope for a truck parking or trailer drop yard study is defined at the outset, sponsors and lenders know the exact cost before committing.
Standard delivery is 10 to 15 business days from receipt of a complete data room. The data room for a truck parking project typically includes site plans, proposed rate schedules, any fleet-contract letters of intent, operator credentials, and the lender’s term sheet. Rush delivery is available when an agency submission or credit-committee deadline requires a shorter window.
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Wert-Berater, Inc. is an independent provider of feasibility studies and other related services. The firm does not provide financing or equity investment advice, and does not arrange, broker, or place debt or equity capital of any kind.
All appraisal assignments are performed by Bruce E. Jones, MAI, ASA-GC, BCA, CMEA, a member of the Appraisal Institute since 2006, a staff member of Wert-Berater, Inc. and owner of Special Purpose Realty Valuation.