By: KeyCrew Media
The advanced air mobility infrastructure industry is discovering what earlier technology infrastructure buildouts learned through painful experience: accurate demand modeling determines project success far more than optimistic forecasts and generic assumptions. Vertiport development is now entering its “sophisticated planning” phase, replacing simplified site selection with complex energy modeling and multimodal revenue analysis.
The shift reflects maturation from conceptual planning to operational execution. Early vertiport proposals assumed aircraft would arrive, charging would happen, and revenue would follow. Real-world site development reveals that energy infrastructure costs, multimodal demand optimization, and detailed traffic modeling determine which projects achieve positive economics and which hemorrhage capital on underutilized infrastructure.
Lisa Wright, founder of Landings, represents the vanguard of this analytical sophistication. Her team’s development of proprietary energy calculators and multimodal demand modeling tools provides early visibility into the complexity that will soon define industry-standard vertiport planning.
Why Generic Assumptions Fail
Early vertiport planning relied on simplified assumptions: sites need X kilowatts of charging capacity, aircraft will visit Y times daily, and charging takes Z minutes. These generic models enabled quick feasibility assessments but concealed project-killing complexity that only emerges during actual development.
Wright’s development of the energy calculator exposed the inadequacy of generic planning. Real energy requirements depend on traffic mix (passenger eVTOLs need different infrastructure than heavy cargo drones), charging speed requirements (rapid turnaround versus overnight charging creates 3-5x cost differences), operational patterns (steady traffic versus peak-demand changes infrastructure sizing dramatically), and multimodal demand from ground vehicles sharing the charging infrastructure.
A site expecting “some eVTOL traffic” might install infrastructure costing $300,000-500,000. Detailed modeling reveals that actual requirements depend entirely on whether that traffic means two flights daily with rapid turnaround (requiring high-capacity charging, extensive battery storage, and grid interconnection sized for peak demand) or six flights daily with flexible scheduling (allowing smaller charging capacity, less battery storage, and grid interconnection sized for average demand).
The capital cost differential between these scenarios reaches hundreds of thousands of dollars. Generic assumptions lead to either overinvestment in unused capacity or underinvestment that creates operational bottlenecks, limiting revenue potential.
The Multimodal Revenue Imperative
Vertiport economics increasingly depend on multimodal revenue streams because aircraft-only operations can’t justify infrastructure investment on realistic traffic projections. Sites must serve eVTOLs, heavy cargo drones, light delivery drones, and ground-based EVs (delivery trucks, school buses, municipal fleets) to achieve acceptable returns.
This multimodal requirement transforms energy infrastructure planning from aviation-specific analysis to complex optimization problems. Different vehicle types require different charging specifications, operate on different schedules, have different revenue-per-transaction economics, and create different peak demand patterns.
Wright’s energy calculator models these multimodal scenarios by accepting detailed input on expected traffic: “two Amazon delivery trucks daily, one passenger eVTOL, three heavy cargo drones, intermittent light delivery drone traffic.” The output specifies minimum system requirements: solar generation capacity, battery storage specifications, charging equipment types, grid interconnection sizing, and backup power needs.
The modeling reveals counterintuitive findings. Adding ground-vehicle charging to aircraft-only sites often reduces per-transaction infrastructure costs because ground traffic provides baseline revenue that justifies larger shared infrastructure. Sites focused exclusively on aircraft operations incur higher per-transaction costs because limited traffic must absorb the full infrastructure costs.
The multimodal approach also improves project economics by smoothing demand. Aircraft operations might create morning and evening peaks with midday troughs. Adding school bus charging fills morning troughs. Adding delivery truck charging fills the afternoon troughs. The resulting steady demand pattern allows smaller battery systems and grid connections than peak-focused planning requires.
Distributed Energy as An Advantage
The most significant strategic finding from sophisticated energy modeling is that distributed energy systems (solar generation plus battery storage) are increasingly being considered a viable alternative to grid-dependent approaches, even in locations with adequate utility access.
Grid-dependent sites face multi-year utility coordination timelines, compete for limited upgrade capacity, pay demand charges that penalize peak usage, and remain vulnerable to grid outages. Distributed energy sites control their own timelines, avoid demand charges, monetize excess generation through grid sales, and maintain operations during disruptions.
Wright’s recent site development illustrates the advantage of distributed energy. A premier location initially assumed to have straightforward grid access actually sits on a county boundary where utility upgrade availability differs between adjacent service territories. The property falls on the side without upgrades, requiring 18-24 months of utility coordination for grid-dependent charging.
Rather than accepting that timeline, the development team structured solar co-location partnerships and battery system agreements targeting 9-month operational readiness. The approach costs more upfront ($300,000-500,000 versus $200,000-400,000 for grid upgrades) but reaches revenue generation faster, creates community benefits that strengthen approvals, and qualifies for renewable energy incentives that offset additional capital costs.
The distributed energy pivot reflects broader industry recognition that control of vertiport timelines matters more than minimizing initial capital costs. Sites operational in 9 months generate revenue, while grid-dependent sites spend 18 months coordinating with utilities. The early revenue more than compensates for higher infrastructure costs.
Seasonal and Geographic Complexity
Energy infrastructure planning must account for seasonal variation and geographic differences that dramatically impact system requirements. Solar generation in upstate New York drops 60-70% in winter compared to summer, requiring buffer capacity that Texas or California sites don’t need. Battery performance degrades in extreme cold, requiring thermal management or oversized capacity.
Aircraft charging requirements themselves vary by temperature. Cold weather reduces battery efficiency and extends charging time. Hot weather requires battery thermal management before rapid charging can begin. The energy infrastructure must accommodate these operational realities, not just theoretical specifications.
Wright’s modeling incorporates location-specific analysis that adjusts infrastructure specifications based on local climate data, seasonal generation patterns, temperature ranges, and weather variability. A site in Texas requires fundamentally different energy design than a comparable site in New York with identical traffic patterns.
This geographic specificity matters for operators planning multi-state networks. Uniform infrastructure assumptions across different climates lead to either overinvestment in mild climates or undercapacity in extreme climates. Site-specific modeling ensures each location has appropriate infrastructure for local conditions.
What Walmart’s Drone Delivery Teaches Infrastructure Planners
External market validation for multimodal vertiport planning comes from unexpected sources. Walmart’s expansion of drone delivery into rural Texas and Georgia communities demonstrates that distributed lightweight drone traffic creates viable business models in markets industry experts assumed wouldn’t support advanced air mobility until urban density proved the concept.
The Walmart operations provide real-world data for energy infrastructure planning. Delivery drones operate on known schedules (predictable charging windows), have consistent energy requirements (standardized equipment), generate frequent transactions (multiple deliveries per day), and serve proven demand (existing retail customers requesting faster delivery).
Wright’s energy calculator can now model “Walmart-style delivery drone operations” as a known input rather than a speculative scenario. Sites in markets where Walmart operates drone delivery have demonstrated demand profiles. Sites in adjacent markets can model similar patterns with higher confidence than purely theoretical projections.
The competitive landscape among drone delivery providers (Zipline and Wing competing for retail partnerships) reinforces the view that this use case reflects durable demand, not experimental pilots. Infrastructure designed to support retail drone delivery serves near-term revenue-generating operations while positioning for future passenger eVTOL traffic.
The Analytical Sophistication Gap
The vertiport development industry is bifurcating between operators that use sophisticated energy modeling and multimodal planning and those that still rely on generic assumptions and simplified forecasts. The performance gap between these approaches will become stark over the next 12-18 months as projects either achieve positive economics or struggle with underutilized infrastructure.
Commercial real estate owners evaluating vertiport partnerships should scrutinize developers’ analytical capabilities. Operators using detailed energy modeling, site-specific demand forecasting, multimodal revenue planning, and scenario analysis demonstrate sophistication that correlates with project success. Operators presenting generic feasibility assessments and simplified forecasts signal a higher risk of cost overruns and revenue shortfalls.
The tools Wright’s team has developed (energy calculators, feasibility software, multimodal demand modeling) represent emerging industry standards. As these analytical approaches proliferate, the bar for credible vertiport planning will rise substantially. Projects that would have seemed feasible based on 2024-2025 analysis standards will appear underanalyzed and risky by late 2026 standards.
From Speculation to Specification
The vertiport infrastructure industry is transitioning from a speculative opportunity to a focus on engineering and economic analysis. This maturation separates viable projects from wishful thinking, identifies which sites can actually achieve positive economics, and reveals which business models withstand detailed scrutiny and which only work with optimistic assumptions.
For commercial real estate owners, this analytical sophistication creates both challenge and opportunity. The challenge: evaluating vertiport feasibility now requires technical analysis beyond standard real estate expertise. The opportunity: sophisticated planning identifies genuinely viable sites that will succeed while competitors pursue underdeveloped projects that struggle.
The next 12 months will reveal which developers invested in analytical sophistication and which relied on enthusiasm. Energy infrastructure complexity, multimodal demand optimization, and detailed financial modeling distinguish projects that reach operational status from those that stall in planning or collapse due to unexpected costs.
The industry’s speculative phase is ending. The engineering and economics phase has begun.
About Landings
Landings is building North America’s first comprehensive network of vertiport landing and charging infrastructure for electric aircraft, with a planned network of 2,000+ rural locations. Founded by architect and energy management expert Lisa Wright, the company takes an infrastructure-first, asset-light approach through revenue-sharing partnerships with commercial property owners.
Disclaimer: general informational purposes only and does not constitute legal, financial, or real estate advice. Readers should conduct their own research and consult qualified professionals before making any real estate or financial decisions.
