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Start with a common comparison framework
A credible comparison asks what would happen at each site under equivalent conditions, not which site produces the smallest isolated trip estimate. Hold the major inputs constant wherever the proposals are genuinely equivalent: attendance, event calendar, arrival and departure windows, mode split, vehicle occupancy, trip distribution, analysis periods, background growth and mitigation treatment. If a site requires different assumptions, show the difference and explain why.
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The Federal Highway Administration (FHWA) describes this purpose directly: “The feasibility study gauges the impact a particular planned event will have on traffic and parking operations in the vicinity of the venue.” That means a venue comparison must examine the surrounding transportation system, not just the driveway serving the building.
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Define what is being compared
- Proposal: venue capacity, event types, operating calendar, supporting retail or hospitality uses, parking supply and access points.
- Alternatives: nearby sites, reduced-intensity versions, different access plans or a no-event/non-gaming configuration when those are real options.
- Outcomes: vehicle demand, intersection and corridor performance, queues, parking utilization, transit loads, walking and cycling access, safety, diversion onto neighborhood streets, and effects on non-attendees.
Keep operational event traffic separate from construction traffic. A construction program has its own worker arrivals, deliveries, haul routes, staging and temporary lane closures; those conditions should be modeled in a separate construction-period scenario rather than mixed into the permanent venue forecast.
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Set one study boundary and one baseline
Draw the study area before comparing sites. Include the intersections and corridors that could receive event traffic, neighborhood streets vulnerable to diversion, transit connections, pedestrian and bicycle approaches, parking facilities, and regional routes that distribute arrivals and departures. Apply the same boundary to every alternative unless a physical difference makes that impossible; document any boundary change and its effect on the results.
Document existing conditions
Record traffic counts, turning movements, signal timings, lane geometry, speed limits, transit service, parking supply and observed queue lengths. State the count dates and whether they represent a normal weekday, weekend, school period, holiday or another atypical condition. A count taken during an unusual closure or construction phase should not silently become the “existing” baseline for all alternatives.
Build the future background case
Forecast the network without the proposed venue. Include committed development, funded transportation projects, approved changes in signal operation and defensible background growth. The future baseline is the counterfactual against which each venue is measured. Without it, a site may appear responsible for congestion that would occur anyway, or a seemingly modest impact may be understated because background growth was omitted.
Virginia’s Department of Transportation (VDOT) publishes formal traffic-impact-analysis regulations and administrative methods. Its LandTrack resource lets users examine submitted analyses and agency comments. Those methods are a jurisdictional example, not a nationwide threshold; use the current requirements of the agency with authority over the project.
Use a scenario matrix instead of one forecast
At minimum, prepare the scenarios below. Label each one clearly in tables and figures so a reader can tell whether a result is an event condition, a normal day or a future baseline.
| Scenario | Purpose | Typical contents |
|---|---|---|
| Existing conditions | Shows today’s observed network performance. | Current counts, geometry, controls, transit and parking. |
| Future baseline (no proposal) | Separates background growth from venue effects. | Committed development, funded projects and forecast traffic without the venue. |
| Future with proposal | Measures the venue’s incremental effect on an ordinary day. | Non-event operations, ancillary uses and normal parking demand. |
| Event condition | Captures concentrated arrivals and departures. | Event attendance, arrival/departure rates, mode split, vehicle occupancy and event controls. |
| Cumulative condition | Tests the venue with other approved or reasonably foreseeable projects. | Future baseline plus other developments and transportation changes. |
| Reduced-intensity alternative | Shows how a smaller program changes demand and impacts. | Lower attendance, fewer events, reduced parking or different operating hours. |
| Special operating alternative | Tests a materially different use or management plan. | For example, a non-gaming case, a transit-led plan or a phased opening. |
A published project analysis lists existing, baseline, cumulative, Friday concert/event, reduced-intensity and non-gaming cases, alongside transit, active-travel, access, parking and mitigation analyses. That structure is useful because it prevents an average daily number from concealing the short period when an event creates its greatest pressure.
Make event demand assumptions visible
Write every demand input beside the resulting trip estimate. A reviewer should be able to reproduce the calculation or identify exactly which assumption differs between sites.
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Attendance and event schedule
- Maximum permitted capacity and expected attendance for each event type.
- Sold-out, typical and reduced-attendance cases where those are plausible.
- Weekday evening, weekend, matinee and overlapping-event schedules.
- Doors-open time, event start and end, supporting acts, conferences, games or concurrent uses.
- Construction phasing or partial opening, if the venue will operate before full build-out.
Mode split and vehicle occupancy
State the percentage arriving by private vehicle, taxi or rideshare, transit, shuttle, walking and cycling. State average vehicle occupancy separately for each relevant audience or event type if the evidence supports that distinction. Mode choice and occupancy determine how many vehicles actually reach the site; two venues with identical attendance can produce very different roadway demand.
The FHWA event-planning guidance identifies mode split, event traffic generation and arrival rate as forecast elements. Its Seattle stadium case study uses personal vehicles per 1,000 attendees as an event performance index and discusses the influence of transit and other modes. The case-study search result did not establish a final observed value that can serve as a universal benchmark, so do not import one into another project.
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Trip generation and distribution
Explain how attendees become person trips and vehicle trips. Identify average vehicle occupancy, employees, vendors, performers, service vehicles, deliveries and any internal capture between the venue and adjoining uses. Show the percentage assigned to each approach, route and parking facility. Pass-by or diverted trips should be identified rather than hidden inside a single rate.
If the venue does not fit a standard land-use category, disclose the comparable facilities or local counts used. A 2023 event-venue study in Owen Sound reported that its venue did not conform to a specific Institute of Transportation Engineers (ITE) land-use category and therefore used observed data from larger Greater Toronto Area event venues for its forecast. That method can be reasonable only when the differences in location, event type, capacity and access are explained.
Use a transparent calculation
Show the conversion from attendance to vehicles. A simple illustrative structure is:
event person trips × private-vehicle mode share ÷ average vehicle occupancy = event vehicle trips
Then allocate those vehicles by arrival window, departure window, route and parking facility. Include employees and service traffic if they occur during the same peak. The equation is a reporting aid, not a substitute for local counts or a validated model.
Model the event’s time profile, not only daily totals
Event arrivals and departures are concentrated. A daily or conventional commuter-peak average can miss a queue that forms for 45 minutes before a show or a surge immediately after the final whistle. Analyze at least the pre-event and post-event windows, plus the ordinary weekday and weekend periods relevant to the site.
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Compare the whole network
Intersections and corridors
Report the analysis method, peak interval, delay or capacity measure, volume-to-capacity result, level-of-service convention where required locally, and the locations that fail or materially worsen. Show both approaches to the venue and the routes used by people who are not attending. A driveway that operates well can still feed a queue into a signalized arterial or push traffic onto residential streets.
Queues and spillback
List maximum and 95th-percentile queues when the method provides them, identify blocked turn lanes or intersections, and test whether a queue reaches an upstream signal, freeway ramp, crosswalk or parking entrance. For each alternative, show whether internal circulation contains the queue or allows it to spill onto public roads.
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Site access and circulation
Map every public entrance, service gate, rideshare pickup zone, bus bay, pedestrian crossing and emergency route. Test arrival and departure circulation separately; a plan that handles arrivals may fail when thousands of people leave at once. Include traffic-control personnel, reversible lanes or timed restrictions only when the responsible agency can implement them.
Parking
Compare on-site and shared parking supply, accessible spaces, employee parking, event parking controls, pricing assumptions and walking distance from each facility. State whether spaces are reserved for other uses or available at the event time. Report occupancy and search or circulation effects rather than supply alone.
Transit, walking and cycling
Inventory existing routes, stop locations, service frequency, event-specific service, shuttle capacity, transfer points, sidewalks, crossings, lighting, bicycle routes and secure bicycle parking. FHWA states that “Transit initiatives may reduce event traffic demand and optimize transportation system operations.” Treat that as a modeled measure: identify the service, capacity, operating hours, funding and expected ridership instead of assigning an unexplained reduction to vehicle trips.
Neighborhoods, businesses and non-attendees
Measure diversion onto local streets, blocked driveways, pedestrian safety, emergency access, loading activity, noise-related circulation controls and access to homes and businesses. FHWA guidance recognizes impacts on local residents and businesses. A venue comparison should show who experiences the effect, when it occurs and whether the effect remains after management measures.
Separate impacts from mitigation
First publish the forecast without proposed demand or capacity measures. Then list each mitigation measure, its operating assumptions and the resulting forecast. Combining mitigation with the base trip number makes it impossible to see whether a site is naturally less demanding or simply depends on a more intensive management program.
Demand-reduction measures
- Event transit service, fare integration or direct shuttle routes.
- Parking pricing, shared-parking agreements and remote lots.
- Advance route information, timed entry, carpool incentives and occupancy targets.
- Walking and cycling connections that are continuous, accessible and safe.
Operations and capacity measures
- Traffic-control staff, signal timing changes and turn restrictions.
- Dedicated bus, rideshare and pedestrian areas.
- Queue storage, gate management and internal circulation changes.
- Physical intersection, sidewalk, crossing or bicycle improvements.
Implementation and monitoring
For every measure, name the responsible party, funding source, trigger date, operating period and performance metric. Define what happens if the measure is unavailable or underperforms. FHWA’s Seattle stadium case study groups its management program around demand reduction, management of vehicle and pedestrian demand, event operations and information, and implementation and monitoring. Use the same logic to show delivery, not just a list of promises.
Use project figures as evidence, not universal rates
Published numbers are tied to their projects, assumptions and dates. They can illustrate scale, but they should not become generic venue benchmarks.
| Published figure | What it describes | How to use it |
|---|---|---|
| 19,467 vehicle trips for a sold-out NFL game on a weekday evening, including 9,733 in the pre-event hour | Los Angeles Department of City Planning, approximately 2025; estimate for a studied Los Angeles stadium proposal before additional transit and trip-reduction measures. | Use only as a project-specific example. It reflects the stated mode-share and vehicle-ridership assumptions. |
| 19,560 weekend vehicle trips, including 9,780 in the pre-event hour | The same Los Angeles proposal and method, for a weekend event. | Do not transfer it to another capacity, event type, location or mode split. |
| 130 to 180 net new two-way auto trips in weekday AM, weekday PM, Saturday and Sunday peak periods at full build-out | City of Ottawa’s Lansdowne 2.0 project information page, accessed 2026. | It is an estimate for that specified project and peak periods, not a benchmark for another venue. |
The contrast between these figures shows why timing and project definition matter: a large event can create a short, intense surge, while a mixed-use redevelopment may report a smaller net change in conventional peak periods after internal capture and other adjustments.
Use tools within their limits
The U.S. Environmental Protection Agency’s Mixed-Use Trip Generation Model was developed from household travel surveys, GIS databases and other sources in six metropolitan regions. It estimates peak-period and daily vehicle trips, walking and transit trips, and daily vehicle miles, and allows local values. It is useful for considering surrounding land use, accessibility and internal capture when its scope fits the project.
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It does not replace a local event forecast. A venue with a distinctive schedule, concentrated arrivals, special parking controls or unusual transit service needs event-specific assumptions and local validation.
The ITE Trip Generation Manual, 11th Edition, is cited in a published project transportation analysis and can help practitioners inspect professional trip-generation methods. It is optional reference material and does not replace the transportation agency’s current study requirements.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Audit whether alternatives are genuinely comparable
Before accepting a ranking, place the alternatives side by side and answer these questions:
- Do all sites use the same attendance or capacity, event calendar and event windows?
- Are vehicle occupancy, mode split, trip distribution and arrival/departure rates consistent?
- Are existing counts, future background growth, committed projects and analysis years aligned?
- Does every alternative use the same intersections, corridors and neighborhood boundary, or is a difference explained?
- Are event and non-event conditions both reported?
- Are parking, transit, walking, cycling, rideshare and shuttle assumptions stated?
- Are mitigation measures excluded from the base case and then shown separately?
- Does each measure have an implementer, funding status, operating plan and monitoring trigger?
- Are construction-phase effects separated from permanent venue operations?
- Are failures shown as locations and time windows rather than hidden in an average?
If the answer to any question is no, the result may still be useful, but it is not a simple apples-to-apples ranking. Present it as a conditional comparison.
A practical workflow for owners and construction teams
- Write the decision question. Decide whether you are selecting a site, sizing access improvements, testing a reduced program or checking whether an approved plan can operate.
- Freeze the common inputs. Record capacity, event types, schedule, analysis years, mode assumptions, occupancy, background projects and study boundary.
- Collect local evidence. Obtain counts, signal data, parking inventories, transit schedules, pedestrian and bicycle observations, collision history where required, and information on neighborhood access.
- Model the no-build and build cases. Include ordinary weekday and weekend conditions, event arrival and departure windows, cumulative development and genuine reduced-intensity alternatives.
- Map the failure points. Identify queue spillback, blocked access, parking circulation, transit crowding, unsafe crossings and neighborhood diversion.
- Develop mitigation as an operating plan. Assign responsibilities, funding, staffing, communications, temporary controls and physical works.
- Re-run the forecast after mitigation. Show the change in queues, delay, parking, mode share and neighborhood effects; do not merely state that impacts are “managed.”
- Set monitoring and fallback actions. Define event-day counts, queue observations, transit loads, complaint channels and the action required when a target is missed.
Common comparison mistakes and their fixes
Using one trip rate for every venue
Problem: A published rate ignores capacity, event type, location, transit access and time period.
Fix: Use local counts or genuinely comparable venues, disclose differences and calibrate the arrival and departure profile.
Comparing a daily average with an event peak
Problem: The alternative with a concentrated event surge looks artificially similar to a site with steady all-day demand.
Fix: Report ordinary daily conditions and event windows separately.
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Counting vehicles but not people or modes
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Fix: Show attendance, person trips, mode split, occupancy and the service that would make the mode split plausible.
Hiding mitigation in the first number
Problem: Decision-makers cannot tell whether the site has a lower inherent impact or a more demanding operating program.
Fix: Publish unmitigated and mitigated results in separate columns, with delivery and monitoring responsibilities.
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Problem: Queues, rideshare activity and diverted traffic often appear on public roads and neighborhood streets.
Fix: Extend the network analysis to the routes, crossings, transit links and local streets that experience the effect.
Treating an agency example as a national rule
Problem: VDOT methods, Los Angeles studies and Ottawa estimates apply to their jurisdictions and projects.
Fix: Confirm the current requirements of the responsible transportation agency and state the jurisdiction, edition and date of each method used.
What a decision-ready comparison should contain
A useful report lets a reviewer trace every conclusion from assumption to outcome. Include a one-page assumptions register, a map of the study network, scenario tables, event time-profile graphs, intersection and queue results, parking and multimodal analysis, neighborhood effects, an unmitigated-versus-mitigated comparison, and an implementation and monitoring plan.
There is no universal trip threshold or site ranking for a venue without a specified jurisdiction, capacity, candidate locations and study rules. The defensible choice is the alternative whose assumptions are transparent, whose event and non-event effects are understood, and whose mitigation can be funded, operated and monitored in the real network.
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