Frequency
How often does this journey recur within the observation period?
HOW / ORIGIN–DESTINATION GROUPINGSame direction.
Same direction.
Greater value together.
A completed journey records demand between two places. Group compatible demand in time, and those journeys can become a shared transport opportunity.
Explore the yield »ORIGINO → DDESTINATION
Place + time + capacity
Start with journeys people actually make
An origin–destination pair connects a starting place to an ending place. Repeated completed trips reveal where demand has already been achieved.
For this analysis, an achieved OD pair means an origin and destination observed in completed journey records. It establishes evidence of travel demand. It does not, by itself, establish that two passengers were available at the same time or that a shared booking was completed.
A corridor with frequent journeys and repeat customers can be worth examining for shared services. The exchange then looks for compatibility within that demand: departure times, pickup locations, destinations, acceptable detours and vehicle capacity.
Customer breadth
Does demand come from many travellers or a small number of repeat users?
Time overlap
How much of that demand falls within a usable departure window?
Turn compatible requests into an achievable journey
Identify the corridor
Locate recurring origins and destinations, keeping the outbound and return directions distinct.
Apply the time window
Look for requests that can share a practical departure time, rather than adding together trips from unrelated hours or days.
Build a feasible group
Check seats, pickup and drop-off order, detours, accessibility requirements and any group preferences.
Clear and complete
Agree the journey and price, allocate suitable transport and record what was actually delivered.
Exact postcode pairs are a useful starting point. Nearby origins and destinations may also be compatible, provided the combined route remains acceptable to the passengers and operator.
What an achieved group can yield
Sharing creates the possibility of a lower price per passenger alongside more revenue for one vehicle movement. The result depends on occupancy and the share of the reference solo fare each passenger pays.
Gross vehicle revenue = passengers × shared-fare fraction × reference solo fare
If the reference solo fare is £6.72, three passengers each paying 40% contribute £2.69 each when fares are rounded to pennies. The vehicle collects £8.07: approximately 120% of one solo fare, while each passenger pays approximately 60% less.
Each passenger pays
Gross vehicle revenue
Revenue vs one solo fare
Saving per passenger
Illustrative arithmetic, not a fare quote. Passenger fares are rounded to pennies before calculating revenue. Vehicle revenue is gross: operating costs and any platform charges have not been deducted.
| Passengers | Each pays | Vehicle revenue / solo fare* | Passenger saving* |
|---|---|---|---|
| 2 | 40% | 80% | 60% |
| 3 | 40% | 120% | 60% |
| 4 | 25% | 100% | 75% |
| 6 | 25% | 150% | 75% |
*Before penny rounding; assumes the same reference fare for every passenger and a suitable vehicle. Matching the revenue of one solo trip is not the same as covering costs or preserving all revenue from separate trips.
Read a corridor as an opportunity
The supplied OD market mockup uses High Wycombe postcode pairs to show how opportunities could be ranked by frequency, customer count, corridor value and temporal matchability.
Illustrative watchlist. These are the supplied mockup rows, not verified operating results. Distance, fares, corridor values and time-match percentages were identified in that mockup as placeholders pending routing and matching calculations.
Corridor values are illustrative totals over an unspecified historical period, not annual revenue, profit or a guaranteed market. A time-match percentage is an initial compatibility measure, not a completed-booking rate.
The yield is in the completed service
A ranked OD pair is a lead for further analysis. A feasible group is a transport plan. An achieved shared journey is evidence of delivery. Keeping these stages separate makes the results measurable.
For passengers
Measure the fare actually paid, time spent waiting, detour time and whether the journey met its agreed conditions.
For operators
Measure fare receipts against vehicle time, distance, dead mileage, vehicle size and operating costs.
Across a corridor, record completed shared trips, realised occupancy, collected revenue and cost per trip. Fewer vehicle movements and lower emissions are possible outcomes, but they require a comparison with what would otherwise have happened.
A time-limited opportunity
A useful grouping must be found while passengers, vehicles and road conditions still permit it. That is why solving the allocation problem quickly matters as much as finding a good solution.
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Understand the demand in your area
Discuss origin–destination analysis and shared transport opportunities with Texxi.