Cleared for Value: How Airport Characteristics Drive Hangar Value

Abstract

This paper develops an analytical framework for identifying and quantifying the airport-level characteristics that create the greatest value impact on commercial aircraft hangars. Unlike conventional commercial real estate, where location analysis centers on demographics, traffic counts, and retail density, hangar valuation requires a specialized assessment of operational, infrastructural, and market characteristics unique to aviation environments. Drawing on transaction cost economics, aviation operational theory, and empirical observations from hangar valuation practice across dozens of U.S. airports, this study identifies and ranks the principal airport characteristics that drive commercial hangar values. The analysis demonstrates that runway length and configuration function as the dominant value driver through their role as a gating mechanism determining which aircraft types, and therefore which tenant classes, can operate at a given facility. Instrument approach capabilities, service infrastructure depth, competitive supply geography, and regional economic base composition each contribute independently and interactively to value formation. The paper introduces a weighted Airport Value Index (AVI) that integrates operational, service, and market factors into a composite scoring framework, enabling systematic and defensible cross-airport comparison. A case study quantifying the capitalized value differential between otherwise identical hangars at airports of differing quality tiers demonstrates location premiums exceeding 60%, showing that airport characteristics, not building specifications alone, are frequently the primary determinant of commercial hangar value.

1. Introduction

The United States general aviation infrastructure encompasses more than 5,000 public-use airports supporting tens of thousands of aircraft hangars that collectively represent billions of dollars in aggregate asset value (FAA 2024). Despite the economic significance of this asset class, the systematic analysis of which airport-level characteristics most materially affect hangar values remains virtually absent from the academic literature. Practitioners such as appraisers, investors, lenders, and airport authorities rely on informal quality hierarchies and experiential judgment rather than empirically grounded frameworks, leading to inconsistent valuations and suboptimal capital allocation decisions.

The gap is consequential. A 40,000-square-foot corporate hangar at a premier Class A airport can command rental rates of $18 to $25 per square foot annually, while a structurally identical facility at a regional Class C airport may achieve only $5 to $10 per square foot (Carter 2025). Capitalized at prevailing market rates, this differential produces value divergences measured in millions of dollars for a single property. Yet the specific airport characteristics responsible for this divergence, and their relative contributions, have never been systematically decomposed in peer-reviewed literature.

The analytical challenge is compounded by the unique structural features of aviation real estate. Unlike conventional commercial properties, where location analysis employs well-established frameworks for evaluating demographics, transportation access, and competitive supply, hangar valuation requires assessment of operationally specialized characteristics (runway length and configuration, instrument approach capabilities, air traffic control services, customs availability, and FBO service depth) that have no direct analog in standard real estate analysis. Further, the interaction between airport characteristics and the leasehold structures that govern the majority of hangar properties creates value dynamics that purely physical or locational analysis cannot capture.

This paper addresses this gap by developing a framework for identifying, categorizing, and weighting the airport characteristics that drive commercial hangar values. The contribution is threefold. First, it provides the first systematic taxonomy of airport-level value drivers organized by their mechanism of impact: operational gating, service differentiation, and market demand generation. Second, it develops a weighted Airport Value Index (AVI) that integrates these factors into a composite scoring framework enabling defensible cross-airport comparison. Third, it quantifies the capitalized value impact of specific airport characteristics through case study analysis, demonstrating that airport quality differentials routinely produce value premiums exceeding 60% between otherwise comparable hangar properties.

The paper proceeds as follows. Section 2 reviews the limited existing literature on aviation real estate location analysis. Section 3 develops the theoretical framework linking airport characteristics to hangar value through the lens of tenant willingness-to-pay and capitalization rate determinants. Section 4 presents the taxonomy of airport value drivers organized across three analytical tiers. Section 5 introduces the Airport Value Index scoring methodology. Section 6 provides case study evidence quantifying the capitalized impact of airport quality on hangar values. Section 7 discusses implications for appraisers, investors, and airport authorities. Section 8 concludes with directions for future research.

2. Literature Review

The academic literature on aviation real estate valuation is sparse. Lindsey (2008a, 2008b) produced the foundational, and until recently the only, peer-reviewed guidance on aircraft hangar appraisal, establishing basic frameworks for income capitalization and comparable sales analysis adapted to the aviation context. Lindsey’s work identified airport characteristics that influence hangar values but did not develop a systematic framework for decomposing and quantifying specific airport characteristics.

The broader real estate literature provides robust frameworks for location analysis in conventional property types. Sivitanidou and Sivitanides (1999) demonstrated that capitalization rates in office markets respond to both macroeconomic conditions and property-specific location characteristics. Ambrose and Nourse (1993) established the band-of-investment framework linking financing availability to capitalization rate determination, a mechanism with direct relevance to aviation real estate, where airport quality affects lender underwriting thresholds. Geltner et al. (2014) provided comprehensive treatment of location as a value driver in commercial real estate, though without addressing the specialized operational factors relevant to aviation facilities.

Simpson’s (1998) work on marina valuation offers a closer structural parallel to aviation real estate. Marinas, like hangars, are specialized-use properties whose values depend on location factors (water depth, channel access, proximity to open water) that have no analog in conventional commercial real estate analysis. Simpson’s framework for evaluating marina-specific location characteristics provides a methodological template for the aviation context, though the specific factors differ substantially.

In the aviation sector, the National Business Aviation Association (NBAA) periodically publishes infrastructure surveys documenting facility conditions and service levels across business aviation airports, but these surveys do not attempt to link airport characteristics to property values or capitalization rates. The FAA’s Airport Master Record database (Form 5010) provides standardized operational data for all public-use airports, creating a data foundation for systematic cross-airport comparison that has been underutilized in valuation research.

Carter (2025) advanced the literature by introducing the airport quality hierarchy, a four-tier classification system (Class A through Class D) that maps observable airport characteristics to rental rate ranges and capitalization rate benchmarks. The present paper extends this work by decomposing the quality hierarchy into its constituent factors, weighting their relative contributions, and developing a continuous scoring methodology that enables more granular differentiation than discrete tier classifications permit.

The transaction cost economics literature, particularly Williamson’s (1979, 1985) work on asset specificity and the hold-up problem, provides the theoretical foundation for understanding why airport characteristics affect hangar values through mechanisms distinct from conventional location premiums. Klein, Crawford, and Alchian’s (1978) framework of appropriable quasi-rents is directly applicable: the single-purpose nature of hangar improvements, combined with the airport authority’s monopsony position at lease expiration, creates structural dependencies between tenant investment and airport-level operational characteristics that do not exist in conventional commercial real estate markets.

3. Theoretical Framework

3.1 The Gating Mechanism: Aircraft Compatibility as the Primary Value Channel

The fundamental mechanism through which airport characteristics affect hangar values is the gating function of aircraft compatibility. An airport’s runway length, approach capabilities, and operational characteristics collectively determine which aircraft types can safely and reliably operate at the facility. This determination, in turn, defines the universe of potential tenants, and critically the financial capacity of those tenants, who constitute the demand pool for hangar space.

The relationship is not continuous but exhibits discrete threshold effects. An airport with a 4,000-foot runway can accommodate light piston aircraft and small turboprops but effectively excludes light jets and all larger business aircraft. Extending that runway to 5,000 feet opens the facility to light jets and larger turboprops, a segment that commands substantially higher hangar rents due to the greater financial resources of jet aircraft operators. Crossing the 6,000-foot threshold enables all business aircraft types, including large-cabin heavy jets whose operators represent the highest-value tenant segment in commercial aviation real estate.

This gating mechanism operates through tenant willingness-to-pay. Corporate flight departments operating Gulfstream G650s and Bombardier Global 7500s, aircraft requiring 5,500 to 6,000 feet of runway, are systematically less price-sensitive than recreational pilots operating Cessna 172s. The corporate tenant’s willingness-to-pay reflects the aircraft’s replacement cost (often exceeding $50 million), the cost of operational disruption from inadequate facilities, and the budgetary resources of the parent corporation. A 40,000-square-foot hangar that can accommodate these aircraft at an airport capable of supporting their operations commands rental rates two to four times higher than an identical structure at an airport restricted to light aircraft.

3.2 Service Differentiation and Operational Reliability

Beyond the binary gating function, airport service characteristics create a continuous quality gradient that affects tenant satisfaction, operational efficiency, and ultimately, willingness-to-pay for hangar space. Instrument approach capabilities, particularly ILS approaches enabling Category I operations down to 200-foot ceilings and half-mile visibility, directly affect the portion of the year during which operations can be reliably conducted. An airport that is IFR-closed 30 days per year imposes real costs on tenants through missed appointments, flight diversions, and repositioning fees. These costs are capitalized into willingness-to-pay: hangars at ILS-equipped airports command measurable premiums over otherwise comparable airports dependent on GPS minimums or non-precision approaches alone (Carter 2026b).

FBO service depth, fuel availability and pricing, customs and immigration capabilities, and ground transportation access each contribute independently to the operational friction, or lack thereof, that tenants experience. Business aviation operates on demanding and often irregular schedules; airports with 24-hour tower operations, multiple competing FBOs, and on-site customs services reduce operational friction in ways that directly translate to rental rate premiums of 10% to 25% per factor (Carter 2025).

3.3 The Capitalization Rate Channel

Airport characteristics affect hangar values through two distinct channels: the income channel (rental rates) and the capitalization rate channel (risk pricing). While the income channel is intuitive (better airports support higher rents), the capitalization rate channel operates through more subtle mechanisms.

Airport quality affects capitalization rates through at least four pathways. First, airports with deeper and more diversified tenant demand pools exhibit lower vacancy risk, which investors price through lower cap rates. Second, premier airports attract institutional capital (REITs, private equity funds, and family offices) whose competitive bidding compresses cap rates below levels observed in markets restricted to individual investors. Third, airport quality affects lender underwriting: properties at Class A airports typically qualify for higher loan-to-value ratios and lower interest rates, which the band-of-investment framework (Ambrose and Nourse 1993) predicts will reduce the overall capitalization rate. Fourth, the perceived stability and growth trajectory of an airport market affects investor required returns, with established premier airports commanding lower risk premiums than emerging or declining facilities.

The dual-channel effect means that airport quality differences are amplified in capitalized value. A Class A airport that supports both higher rents and lower cap rates produces a value premium that substantially exceeds what either channel would generate independently. This multiplicative interaction explains the empirically observed value divergences of 60% or more between otherwise comparable hangar properties at airports of differing quality tiers.

3.4 Competitive Supply Geography and Monopolistic Pricing Power

The competitive geography of an airport market, meaning the number and quality of alternative airports within the regional draw area, significantly affects the pricing power of hangar operators at any given facility. Airports that function as the sole or dominant provider of quality hangar space within a 50- to 75-mile radius exercise near-monopolistic pricing power that compresses capitalization rates and sustains rental premiums above levels that would prevail in competitive multi-airport markets.

This competitive geography dynamic explains an empirical puzzle: why some regional airports in geographically isolated markets command rents and capitalization rates that appear inconsistent with their operational quality tier. A Class B airport that is the only facility within 90 miles capable of handling mid-size jets may effectively price as a Class A facility due to the absence of competitive alternatives. Conversely, a Class A airport in a market with multiple competing Class A and B facilities may exhibit more competitive pricing than its operational quality alone would suggest.

4. Taxonomy of Airport Value Drivers

This section presents a systematic taxonomy of the airport characteristics that drive commercial hangar values, organized across three analytical tiers: Tier 1 operational factors, Tier 2 service and infrastructure factors, and Tier 3 market and economic factors. Each tier contributes independently to value, but the tiers also interact: a superior service infrastructure at an operationally deficient airport produces a different value outcome than the same services at an operationally premier facility.

4.1 Tier 1: Operational Factors (Dominant Value Drivers)

Runway Length and Configuration. Runway length is the dominant operational characteristic affecting hangar values, as it determines which aircraft types can safely operate and therefore defines the ceiling on tenant quality and willingness-to-pay. The relationship between runway length and hangar value is not linear but exhibits discrete threshold effects at critical operational boundaries.

Table 1: Runway Length Thresholds and Aircraft Compatibility

Source: FAA Airport Design Standards (AC 150/5300-13B); Carter (2025).

The critical observation is that airports crossing the 5,000-foot threshold have historically experienced disproportionate increases in hangar demand and rents as they become viable for the fastest-growing segment of business aviation: light and mid-size jets. Appraisers should evaluate not only current runway length but near-term airport capital improvement programs; a planned runway extension from 4,800 to 5,500 feet represents a material forward-looking adjustment to hangar value that the income approach based on current rents alone will not capture.

Multiple runway configurations add further value by reducing weather-related operational restrictions and increasing overall airport capacity. Crosswind runways enable operations during wind conditions that would effectively close single-runway airports, and parallel runways reduce delays during peak traffic periods, both factors that enhance the reliability business aviation tenants demand.

Instrument Approach Capabilities. An airport’s instrument approach capabilities directly affect operational reliability, the proportion of the year during which aircraft can safely arrive and depart. The ILS approach, enabling Category I operations to 200-foot decision heights and half-mile visibility, represents the standard for business aviation reliability. GPS/RNAV approaches at LNAV/VNAV minimums provide meaningful capability but at slightly higher weather minimums. Airports restricted to non-precision approaches or visual approaches only impose significant operational limitations that business aviation tenants price into their lease negotiations.

Empirical evidence from residential airpark transactions suggests that IFR approach availability adds a premium of approximately 14.3% above the baseline value of airfield access alone, while each additional 100 feet of runway length contributes approximately 2.8% to property values (Carter 2026c). These premiums, observed in the residential context, are expected to be amplified in the commercial hangar market, where the aircraft are more expensive, the operational consequences of weather delays are more severe, and the tenants are more financially capable of paying for reliability.

Air Traffic Control Services. Control tower availability and hours of operation materially affect operational flexibility. Airports with 24-hour tower operations support business aviation’s demanding and often irregular schedules far more effectively than facilities with part-time coverage. TRACON approach control services improve traffic flow efficiency and enable radar-based weather and traffic management capabilities that non-towered airports cannot offer. The value impact is both direct, through operational reliability, and indirect through the perception of safety and professionalism that influences corporate flight department basing decisions.

4.2 Tier 2: Service and Infrastructure Factors

Fixed-Base Operator (FBO) Services and Competition. FBO services represent the primary interface between an airport and its aviation tenants. The presence of multiple competing FBOs at an airport produces measurably better pricing, service quality, and operational flexibility than single-FBO monopoly environments. Competition ensures that fuel pricing remains market-competitive, that line service responsiveness meets business aviation standards, and that tenants have recourse if service quality deteriorates at their primary provider.

Full-service FBOs providing pilot lounges, passenger terminals, conference facilities, rental car access, and concierge services create an operational ecosystem that enhances the overall attractiveness of hangar tenancy. Airports with comprehensive FBO infrastructure typically support 20% to 40% higher hangar rental rates compared to limited-service airports with restricted hours and minimal amenities (Carter 2025).

Customs and International Services. On-site customs and immigration services represent a significant differentiator for any airport serving tenants operating internationally. The ability to clear customs at the home base eliminates the cost and scheduling friction of diversions to a port of entry, diversions that add fuel costs, crew duty time, and passenger inconvenience. For corporate flight departments with regular international operations, customs availability is a non-negotiable basing criterion. The rental rate premium associated with customs availability ranges from 15% to 25% in active markets.

Fuel Availability and Pricing. Twenty-four-hour fuel availability supports the operational flexibility that business aviation requires. Airports where fuel service is restricted to business hours effectively preclude early morning departures and late evening arrivals, a limitation that materially reduces tenant utility for corporate flight departments operating on executive schedules. Competitive fuel pricing, typically a function of multiple FBO competition, further affects the total cost of operations and factors into tenant basing decisions.

Ground Transportation Access. The quality and proximity of ground transportation (highway access, travel time to major business districts, rental car availability, and ground transportation services) directly affects an airport’s utility for business aviation users. An airport that requires a 90-minute ground drive to the primary business district it ostensibly serves will consistently lose tenants to a closer alternative, even if the closer airport is operationally inferior in other respects. The pilot anecdote is instructive: “You want me to base my Gulfstream at that airport? It’s 45 minutes from downtown.” Proximity to the urban core, measured in drive time rather than mere geographic distance, is a fundamental value driver.

Infrastructure: Electrical, Data, and Emerging Technology. Modern hangar operations increasingly depend on infrastructure that extends beyond basic airfield capabilities. Electrical capacity sufficient to support 480V service, hangar climate control, and aircraft maintenance equipment is now a baseline expectation at premier airports. High-speed data connectivity, advanced security systems with biometric access control, and Sustainable Aviation Fuel (SAF) availability are emerging as differentiators that forward-looking airports are investing in to attract and retain premium tenants. As electric aircraft move toward certification and commercial operation, airports with adequate grid capacity, charging infrastructure, and battery storage systems will be better positioned to capture this emerging tenant class.

4.3 Tier 3: Market and Economic Factors

Regional Economic Base Composition. The strength and composition of the regional economic base determines the depth and durability of aviation demand. Four primary economic variables at the metropolitan statistical area (MSA) level warrant systematic evaluation. Corporate presence (Fortune 500 headquarters and regional business centers in aviation-intensive industries such as energy, finance, technology, and healthcare) generates consistent business aviation activity and hangar demand. High-net-worth household density correlates strongly with personal aircraft ownership and demand for larger, premium hangar configurations. Regional GDP growth trajectory indicates the demand trend: markets with diversifying and growing economic bases support rising rents and compressed capitalization rates, while markets dominated by a single industry carry elevated concentration risk, as Texas aviation markets demonstrated during the 2014-2016 energy sector downturn.

Millionaire household density in particular is a strong predictor of demand for larger hangar configurations and premium amenities. Corporate relocations, such as the migration of several Fortune 500 headquarters from the Northeast to Texas over the past decade, can dramatically alter regional aviation demand patterns, creating measurable shifts in hangar occupancy, rental rates, and capitalization rates at airports in both origin and destination markets.

Climate and VFR Flying Days. The number of Visual Flight Rules (VFR) days available annually at a location is among the most consequential and most overlooked geographic value drivers for general aviation hangar properties. VFR day count matters not because instrument-rated pilots cannot fly in IFR conditions, but because VFR weather dramatically expands the pilot population that can use an airport, broadening and deepening the tenant demand pool. The Sunbelt advantage in aviation real estate is real and measurable: Phoenix and Tucson record more than 300 VFR days annually, South Florida averages over 270, and the Pacific Northwest and upper Midwest markets face significantly more weather-restricted operating days (Carter 2026b).

Based Aircraft Trends and Fleet Composition. The number and type of aircraft based at an airport provide direct evidence of current demand and a basis for demand forecasting. Airports exhibiting positive based-aircraft growth trends, particularly growth in jet and turboprop registrations, signal strengthening demand for quality hangar space. The mix of aircraft types matters as much as the total count: an airport transitioning from predominantly piston aircraft to a growing jet fleet is a market in which hangar values are likely to appreciate as tenant willingness-to-pay increases with fleet sophistication.

Competitive Supply Geography. As discussed in Section 3.4, the competitive geography of an airport market exerts significant influence on hangar pricing power. Airports that are the sole provider of quality hangar space within a meaningful radius command premiums and compressed capitalization rates that may appear inconsistent with their operational quality tier when analyzed in isolation. Conversely, airports operating in multi-airport competitive markets face pricing constraints regardless of their individual operational excellence.

5. The Airport Value Index: A Composite Scoring Framework

The preceding taxonomy identifies the individual airport characteristics that drive hangar values. Translating this taxonomy into a practical analytical tool requires a composite scoring framework that weights and aggregates these factors into a single, comparable metric. This section introduces the Airport Value Index (AVI), a 100-point scoring system designed to enable systematic, reproducible, and defensible cross-airport comparison.

5.1 Scoring Architecture

The AVI assigns weights to three factor categories reflecting their observed contribution to hangar value formation, based on empirical observation of rental rate differentials and capitalization rate patterns across active hangar markets. Operational factors receive the largest weight (40%) because they function as gating mechanisms that define the ceiling on achievable rents. Service factors receive 30% weight, reflecting their role as continuous quality differentiators within any operational tier. Market factors receive 30% weight, reflecting their function as demand determinants that establish the floor on sustainable occupancy and the trajectory of rental rate growth.

Table 2: Airport Value Index Scoring Dimensions and Weights

Source: Carter (2025, 2026b); Valuation Takes Flight LLC Airport Value Index methodology.

Each sub-factor within the three categories is scored on a 0-10 point scale based on observable, documented criteria. The weighted total produces a composite AVI score that maps to the qualitative airport classification hierarchy developed in Carter (2025).

Table 3: AVI Score Ranges and Airport Classification Tiers

Source: Carter (2025); rental ranges derived from market observations across 50+ U.S. airports.

5.2 Relative Contribution of Individual Factors

Within the AVI framework, certain individual factors exert disproportionate influence on the composite score and, by extension, on hangar values. Based on analysis of rental rate premiums and discounts observed across active hangar markets, the following hierarchy of individual factor contributions emerges:

Table 4: Airport Characteristic Premiums and Discounts on Hangar Rental Rates

Source: Carter (2025); market-derived observations from active hangar markets. Ranges reflect variation across markets.

These ranges should be treated as empirical starting points rather than mechanical formulas. The appropriate adjustment in any specific market depends on the competitive context, the depth of tenant demand, and the availability of substitutable space. Markets with severe supply constraints may produce premiums at the high end or above the ranges shown; markets with abundant competing inventory may compress them.

6. Case Study: Quantifying the Airport Quality Premium

To illustrate the practical significance of airport characteristics on hangar values, this section presents a comparative analysis of two hypothetical but empirically grounded hangar properties identical in physical specifications but located at airports of differing quality tiers.

Table 5: Comparative Case Study of Airport Quality Impact on Hangar Value

*Simplified illustration assuming 86% NOI ratio for Property A, 85% for Property B. Actual valuations require detailed expense analysis.

The $4.45 million value differential, a location premium of approximately 101%, between two physically identical 40,000-square-foot hangar complexes shows why airport characteristic analysis is not a secondary consideration in hangar valuation but is frequently the primary determinant of value. The premium arises from the multiplicative interaction of two channels: Property A commands $7 per square foot more in annual rent ($280,000 in additional gross revenue) while also trading at a 150-basis-point lower capitalization rate, reflecting the deeper tenant demand pool, stronger institutional investor interest, and more favorable financing environment at the premier airport.

The appraiser who fails to rigorously assess airport characteristics risks material error in either direction. Undervaluation of a premier-airport hangar by applying generic regional cap rates ignores the scarcity premium and institutional demand that compress yields at Class A facilities. Overvaluation of a regional-airport hangar by assuming aspirational rents unsupported by the local demand pool and aircraft fleet composition produces equally misleading conclusions.

7. Implications for Practice

7.1 For Appraisers

The framework developed in this paper has direct implications for appraisal practice under the Uniform Standards of Professional Appraisal Practice (USPAP). Standard 1 requires that appraisers develop credible analyses by not committing substantial errors of omission. In the context of hangar valuation, failure to systematically evaluate airport operational characteristics, service infrastructure, and competitive supply geography constitutes precisely the kind of substantive omission that undermines credibility. The AVI provides a structured, documentable methodology for location analysis that enhances both the analytical rigor and the transparency of the valuation report.

The comparable sales approach requires particular care. Appraisers must resist the temptation to compare hangars at airports of fundamentally different quality tiers without recognizing that adjustments for airport characteristics routinely exceed 50% of value, far larger than typical commercial real estate location adjustments. A T-hangar database drawn from Class C and D airports is not a substitute for corporate hangar comparables at Class A facilities, regardless of geographic proximity.

7.2 For Investors and Lenders

Institutional investors entering the aviation real estate market, including Sky Harbour Group Corporation and other publicly traded hangar developers, have implicitly recognized the airport quality hierarchy by concentrating development at Class A and strong Class B airports. The AVI framework provides a systematic basis for screening acquisition and development opportunities, enabling investors to quantify the airport quality premium before committing capital and to benchmark target airports against portfolio holdings.

For lenders, airport quality assessment should inform underwriting parameters. Properties at Class A airports with deep tenant demand pools and institutional investor interest justify higher loan-to-value ratios and lower debt service coverage requirements than properties at Class C airports where demand is thinner and exit options are more constrained. The AVI score provides an objective, documentable metric that can be incorporated into credit committee presentations and portfolio risk monitoring.

7.3 For Airport Authorities

Airport authorities that understand the relationship between airport characteristics and hangar values are better positioned to set ground lease rates that reflect the actual value-generating capacity of their facilities. An airport that invests in runway extensions, instrument approach improvements, or service infrastructure enhancements can justify higher ground rents, and attract higher-quality tenants, than an airport that allows operational capabilities to stagnate. The AVI framework provides a structured basis for capital improvement prioritization: investments in operational factors (the 40% weight category) generate the largest value impact per dollar spent.

8. Conclusion and Directions for Future Research

This paper has developed an analytical framework for identifying and quantifying the airport-level characteristics that drive commercial aircraft hangar values. The principal findings are threefold.

First, runway length and configuration function as the dominant airport-level value driver through their role as a gating mechanism that defines the universe of potential tenants. The threshold effects at 5,000 feet and 6,000 feet create discrete value inflection points that practitioners and researchers should model as step functions rather than linear relationships. Second, airport characteristics affect hangar values through dual channels, the income channel (rental rates) and the capitalization rate channel (risk pricing), that interact multiplicatively, producing value differentials between airport quality tiers that substantially exceed what either channel would generate independently. The case study demonstrates location premiums exceeding 100% between otherwise identical hangar properties, confirming that airport characteristics are frequently the primary, not secondary, determinant of commercial hangar value. Third, the Airport Value Index provides a systematic, reproducible methodology for cross-airport comparison that can be applied consistently across appraisal, investment, lending, and airport management contexts.

Several directions for future research emerge from this framework. Empirical estimation of the AVI weights using regression analysis of hangar transaction data would transform the currently observation-based weights into statistically derived coefficients. Longitudinal analysis of how airport characteristic changes (runway extensions, approach improvements, new FBO entries) affect hangar values over time would provide dynamic evidence complementing the cross-sectional framework presented here. Extension of the framework to international aviation real estate markets, where institutional structures, regulatory environments, and airport governance models differ substantially from the U.S. context, represents a natural generalization. Finally, integration of the AVI framework with the lease-term risk models developed in Carter (2026a) would produce a comprehensive valuation toolkit that simultaneously accounts for the two most consequential determinants of hangar value: where the hangar sits and how long the tenant can remain.

The broader implication is that aviation real estate demands specialized analytical tools that the conventional commercial real estate framework cannot provide. The billions of dollars in hangar assets across more than 5,000 U.S. airports deserve the same rigor of location analysis that office, retail, and industrial properties have long received, adapted to the unique operational realities of the airport environment. This paper takes a systematic step toward that standard.

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This paper is research and general information for professionals evaluating aviation real estate. It is not appraisal, legal, or tax advice, and it does not create an engagement.