Sarus Optimizer
A Sarus decision engine for choosing the right stadium location, defining the right capacity, stress-testing transport access, and turning a match-day venue into a 365-day urban asset.
What the software optimizes
Stadium decisions are connected. Location changes attendance. Attendance changes capacity. Capacity changes transport, food and beverage demand, commercial revenue, safety, and long-term ROI. Stadium Optimization evaluates these decisions together.
Location selection
Ranks candidate sites by population reach, public transport access, walking distance, land value, road capacity, hotel access, and event-day commercial spillover.
Capacity assessment
Estimates the capacity range that protects atmosphere, ticket yield, safety, hospitality demand, concert use, and future expansion without overbuilding.
Transport capacity
Stress-tests metro, bus, shuttle, walking, parking, taxi, micro-mobility, gate access and post-event dispersal so crowd movement is designed before matchday.
Catchment area intelligence
Models the fan base, season-ticket potential, restaurant and café capacity, hotel demand, retail adjacency, and city-center services around the stadium.
365-day revenue model
Compares football, concerts, congresses, retail, hospitality, training, museums, fan zones and public-use scenarios so the facility works beyond matchdays.
ROI and risk control
Shows how each location and capacity scenario affects capital cost, operating cost, attendance risk, transport mitigation cost, and long-term public value.
How Stadium Optimization works
The software turns fragmented planning inputs into comparable scenarios. Instead of asking only “Can we build it?”, it asks “Where should we build, how big should it be, how will people arrive, and what will the venue earn across its lifetime?”
From candidate site to investment decision
- Scores each location using demand, access, land and development potential.
- Calculates catchment reach by travel time, distance and transport mode.
- Compares stadium sizes against attendance, events, hospitality and expansion scenarios.
- Identifies the expensive bottlenecks before they become construction changes.
Methods, kept practical
The model uses proven planning and industrial engineering methods, presented as clear scores and scenarios rather than academic complexity.
- Logistic functions for demand saturation and attendance potential at DA (Dissemination Area) level.
- Exponential distance-decay models for catchment reach and travel friction.
- Queueing and bottleneck analysis for gates, corridors, transit stops and parking exits.
- Scenario simulation for league matches, derbies, finals, concerts and congresses.
- Multi-criteria optimization for site, capacity, cost, revenue and urban impact.
“The most expensive stadium mistake is not a design detail. It is choosing the wrong place, the wrong capacity, or the wrong access strategy before the project even starts.”
Sarus Tesis Planlama
Industrial engineering for high-flow facilities
Why optimization pays back for decades
Before construction
Optimization reduces the risk of buying expensive land with weak access, pouring concrete for unused seats, underestimating gates and concourses, or discovering too late that the surrounding city cannot absorb event-day demand.
During operations
The venue benefits from better crowd flow, more realistic staffing, stronger food and beverage planning, more reliable arrival and departure plans, and a capacity strategy that protects utilization instead of chasing prestige size.
Across the lifetime
The biggest savings come from avoided redesigns, avoided transport mitigation, reduced underuse, higher non-match revenue, stronger city integration, and a facility that can adapt as the club, city and event market change.
The cost of a stadium that is not optimized
A stadium can be beautiful and still fail operationally. When location, capacity, catchment and transport are planned separately, the city inherits the risk.
Low attendance and weak ROI
Oversized capacity reduces occupancy, atmosphere and price discipline. A half-empty stadium also weakens sponsor perception and fan experience.
Traffic chaos and fan frustration
When shuttle, metro, bus, walking and parking capacity are not treated as one system, fans arrive late, queues grow, emergency access becomes harder, and the city pays the reputational cost.
Lost 365-day revenue
A stadium designed only for football can miss higher-margin opportunities such as concerts, congresses, premium hospitality, retail, museums, training and local community use.
Toronto BMO Field: A Clear Example of Why Stadium Optimization Matters
A stadium is not only a building; it is a long-term citywide capacity decision. BMO Field in Toronto shows why location, catchment area, transit access, climate exposure and multi-purpose flexibility must be tested before a stadium is built or expanded. The venue is located at Exhibition Place on Toronto’s lakeshore and operates as an outdoor stadium, with public access relying mainly on Exhibition GO, TTC streetcars, buses, walking routes and event traffic rather than a direct subway-node location. For fans coming from the northern parts of the GTA, the stadium’s very southern lakeshore position can mean long travel times, difficult post-event dispersal and a weaker natural catchment compared with a more central or transit-integrated site. Its exposure to lake winds and cold weather also affects comfort, attendance resilience and the commercial value of events outside peak summer conditions.
The lesson is clear: stadium optimization is not about choosing a site that can physically fit a stadium. It is about choosing the location, capacity, transport network, catchment area, climate strategy and event flexibility that will protect attendance, revenue, public mobility and lifetime return on investment.
New-build stadiums
For new stadiums, the software compares sites before land, capacity and access decisions are locked into the project budget.
Existing stadium upgrades
For existing venues, it identifies where expansion, transport improvements, hospitality, concourses or non-matchday uses create the strongest return.
Major event hosting
For finals, derbies and international events, it stress-tests the arrival, security, catering, toilet, gate and dispersal system before the city experiences the crowd.
AI-assisted data layer
The latest Sarus model already works with district, neighborhood, dissemination area (DA) inputs such as population, coordinates, fan potential, season-ticket potential, concert potential, congress potential, income index and land value. Stadium Optimization converts these data layers into understandable site scores, capacity recommendations and investment scenarios.
Build the stadium the city can actually support
Use Stadium Optimization before land acquisition, concept design, public tender, financing, expansion or major-event preparation. The earlier the model is used, the larger the avoidable cost and operational risk savings become.