Emissions per leg
Each leg gets an estimate by mode, distance and occupancy, using emission factors you choose and document. Estimates are labelled as estimates, with the method one click away.
Use cases · Low-carbon routing
Lower-carbon options, shown honestly beside the fast ones
Travelers who care about emissions want choices, not sermons. Nova puts a lower-carbon plan next to the fastest one — extra hours and estimated emissions side by side — and lets the traveler decide.
The problem: the route decides the carbon, then ignores it
Most low-carbon effort in travel happens at checkout — an offset, a leaf icon, a line in the brochure. By then the real choices are made: which legs fly, how often the traveler changes hotels, whether day five backtracks to a town they left on day two. Those choices live inside the itinerary, and most itinerary tools never look at them.
- Mode choice happens by habit: the short flight gets booked because it was booked last time
- Sequencing errors add distance nobody notices — a loop drawn as a zigzag
- Too many hotel changes mean too many transfers, each with its own vehicle
- When lower-carbon options do appear, they're framed as sacrifice, so travelers decline them
How Nova models it
Emissions become one more weight in Route Engine, alongside time, cost, comfort and pacing — never the only one.
Mode-aware transit data
Rail, bus, ferry and shared-shuttle options come from mapping and transit data, with real journey times and connection risk — not just distance.
Sequence before mode
The engine re-orders stops to remove avoidable distance before it changes any mode, which often saves time and emissions at once.
Fewer, longer stays
Consolidating nights cuts transfers. The engine tests whether one base with day trips beats three one-night stops.
Time and comfort, counted
Every lower-carbon option shows its cost in hours, connections and luggage handling, so the trade-off is honest.
The traveler chooses
The fast plan and the lower-carbon plan appear side by side. Nothing defaults to the slower option without the traveler's say-so.
Side by side
Worked example: seven days, two ways
A hypothetical seven-day Alpine trip for two, starting and ending at the same airport. Emission figures are relative estimates from our default factors, shown to illustrate the trade-off — not as measurements.
AspectFastest planLower-carbon plan
Between regionsA short flight between two valley cities on day three.A scenic train of about four and a half hours, with lunch on board and one connection.
BasesFour hotels, four check-ins.Two bases with day trips by rail and regional bus; two check-ins.
Local movesPrivate transfers for every excursion.Trains and buses for most excursions; one private transfer where the connection would take over an hour.
Route shapeDay five backtracks to a town visited on day two.Re-sequenced into a loop. The backtrack disappears.
Time costBaseline.Roughly three extra hours across the week, mostly on the train day.
Estimated in-trip emissionsBaseline.Well under half the baseline for legs inside the trip, by our estimate. Flights to and from the airport are unchanged.
Who decidedThe default.The travelers, after seeing both plans and the trade-offs.
Who it's for, and where to read more
- SolutionTour operators & DMCsOffer a lower-carbon version of every multi-day itinerary without designing each one twice.
- SolutionDestination organizationsRoute visitors by transit, toward places that are easier to reach without a car.
- SolutionCorporate travel & eventsEstimate ground-transport emissions per event, and choose shuttles and venues with the numbers in view.
- ModuleRoute EngineThe module that weighs emissions alongside time, cost, pacing and access.
- Field noteLow-carbon routing without the guilt tripHow to present lower-emission options so travelers actually choose them.
- Field noteThe itinerary is a constraint problemWhy emissions belong in the same model as opening windows and travel time.
Questions
Frequently asked questions
Do you sell or broker carbon offsets?
No. We focus on the choices inside the itinerary — mode, sequence, number of transfers — where emissions are actually decided. What you do about the remainder is your call.
Which emission factors do you use?
You choose, and we document the choice. We can start from published factor sets suited to your region and update them when they're revised. Every figure in a plan is labelled as an estimate.
Will travelers be pushed toward slower trips?
Not unless you configure it that way. By default the lower-carbon plan sits beside the fastest one, with time and comfort costs stated plainly. Many travelers choose it when it's presented as a better trip rather than a sacrifice.
Can we report emissions to clients or in our sustainability reporting?
You can export per-itinerary estimates with the method attached. They're planning estimates, not audited carbon accounting, and we label them that way.
Does it work for groups and events?
Yes. Shared vehicles change the math considerably, so group trips and offsites often see the clearest gains. See group travel coordination.
Related
Keep exploring
- PlatformRoute EngineConstraint-based itinerary routing that weighs opening windows, travel time by mode, pacing budgets, accessibility, weather and capacity, and explains each day.
- Field Notes · Route & Itinerary ScienceLow-Carbon Routing Without the Guilt TripLow-carbon itineraries sell when they are better trips. A worked three-way comparison, a proxy you can compute today, and copy rules that skip the lecture.
- SolutionsDestination OrganizationsAn AI trip planner for DMOs, grounded in your own data on seasons, capacity and closures, that spreads visitors out and stays readable to AI assistants.
- Use casesGroup Travel CoordinationGroup travel planning AI that weighs each traveler's constraints, splits and rejoins subgroups, respects vehicle and table capacity, and keeps the trip fair.
See your own itineraries both ways
Send us three of your best-selling trips. We'll return each as a fastest and a lower-carbon version, with the trade-offs laid out.