Resonance Solstice
Passenger Recruitment Reference

How it works

Three channels feed passengers onto the train. Every ad picks a destination station; the route distance from your current location decides how many show up, and the specific ad you pick decides who.

• Leaflet: leaflets are consumed in stacks of 10, so each ad costs 10 leaflets. Each city has a fixed set of drop spots, and each spot has its own passenger pool. How many passengers an ad brings in depends on route distance (see the table below).
• Magazine: each ad costs 1–5 Advt. Licenses. Per refresh you pick from a rotation of 12 magazines, and a magazine's passenger pool is the same regardless of which city you place the ad in.
• TV Channel: each ad costs 3–10 Advt. Licenses. Per refresh you pick from a rotation of 20 channels, and as with magazines, the pool is per-channel and doesn't depend on city.

Each passenger has a payNum property (which reduces their Extra revenue when their coach is over the limit) and demand on 7 rating indices (Comfort, Delicacy, Fun, Pet, Aqua, Plants, and Medical). Each index defines a min-rating threshold to start spending (common), the rating where they pay full base pay (most), an over-cap threshold (out), and a pay value.

Ticket revenue

The ticket is the flat fare every passenger pays for the ride. It's independent of Extra revenue: no rating indices, no revenue increase bonus, no cleanliness, no earning multiplier. Just seat type and route distance.

ticket_per_passenger = (seat_price + SUM(ticket_bonuses)) × max(km, 100) / 100

  seat_price          = price of the equipped seat tier:
                          hardSeat tiers 1–5:  100 / 150 / 200 / 250 / 300
  SUM(ticket_bonuses) = sum of "Basic ticket price +X" bonuses currently active (additive)
  km                  = shortest-path route distance to the destination
  max(km, 100)        = 100 km minimum-fare floor

If your train has multiple seat types, each passenger pays based on the seat they actually sit in. The bonuses listed above stack additively with the seat's base price, not multiplicatively.

Extra revenue (per passenger, per index)

Let R = your train's rating on this index,
    common (C), most (M), out (O), pay = the passenger's (or tag's) values.

  R < C                :  pay × 0.3 × R/C             # below-common partial
  C ≤ R ≤ M            :  pay × (0.3 + 0.7 × R/M)     # in-band ramp
  M < R ≤ O   (O > 0)  :  pay × 1.0                   # at full base pay
  R > O       (O > 0)  :  pay × 1.5                   # bonus tier
  O ≤ 0 or O ≤ M       :  pay × 1.0 past most         # no bonus tier

Final per-index contribution = pay × mult × earning × buff × scale(payNum)

Same-index stacking (passenger and tag both have demand on this index):
  combined_pay = pay_pas + pay_tag
  combined_C   = C_pas + C_tag
  combined_M   = M_pas + M_tag
  combined_O   = max(O_pas, 0) + max(O_tag, 0)   # -1 treated as 0
  contribution = combined_pay × mult(R, combined_C, combined_M, combined_O)

  # Subtle case: when one side has O=-1 and the other has O>0, combined_O can end up
  # ≤ combined_M, which makes the bonus tier collapse to ×1.0 (the [M,O] band is empty).
  # e.g. Gentle Teacher (pas_M=448) + tag Boredom (tag_M=1090, tag_O=1453):
  #      combined_M = 1538 > combined_O = 1453 → bonus tier collapses → ×1.0 even with high R.
  # Same teacher + tag Fun (tag_M=1555, tag_O=2074):
  #      combined_M = 2003 < combined_O = 2074 → bonus tier intact → ×1.5 when R > 2074.

Crowd scaling (per-passenger, multiplies the whole contribution)
  scale depends on the number of passengers in that passenger's coach compared to payNum (the maximum they tolerate):
    • total passengers in coach ≤ payNum → scale = 1.0 (passenger isn't crowded)
    • total passengers in coach > payNum → reduced scale:
        payNum 64 → ×1.00
        payNum 48 → ×0.667 = 2/3
        payNum 32 → ×0.20 = 1/5
        payNum 4  → ×0.20 = 1/5

Earning multiplier = leafletIncome[round(shortest_path_raw / 1000) × 1000]. Roughly linear from 1.0× at 100 km to 5.8× at 2500 km, but it's a step-function lookup, not a continuous formula. The shortest path is computed across all line-connected stations, including ones still locked on your account.

Buff multiplier is per-passenger, depending on which coach they sit in:

buff  = 1 + character bonuses   # e.g. Arina R5 = +0.05
          + train-class bonus   # e.g. E = +0, SSS = +0.15
          + livery bonuses      # e.g. Miles 25B = +0.05
          + furniture bonuses   # ONLY furniture IN that passenger's coach

Total revenue per trip

total = SUM over passengers: ticket_per_passenger
      + SUM over passengers: scale(payNum) × buff(passenger's coach)
                             × SUM over indices: pay × mult × earning

Pool-table legend

Personality tags

Every passenger that boards your train rolls with one personality tag attached. The tag adds its own demand profile on top of the passenger's base type, and they stack via the combined-thresholds rule (sum common, most, out and pay across the pair, then apply the same multiplier formula).

Where the tag comes from: each ad source has its own tag pool with its own weights. Some pools are uniform (all 30 tags equally likely, ~3.3% each), others heavily bias themed tags. For example: Aquarium Magazine boosts the 4 Fish tags ×10, Luxury Magazine boosts the 3 wealth tags ×10, Felton High School (a Freeport VII leaflet spot) boosts food + entertainment + several other categories. See the per-ad Tags: line in the Leaflets, Magazines, and TV Channels tabs to know exactly what each source biases.

Per-passenger star cap: a passenger can never roll a tag of a higher rank than its own (notably, ★5 Tycoons only roll ★5 tags). This is a hard filter applied on top of the pool weights.

The island has its own separate visitor pool with its own bias, covered in the Whupshout Island tab.

Revenue-bearing tags

Sorted by ★ ascending, then by primary index (Comfort → Delicacy → Fun → Pet → Aqua → Plants → Medical).

Cosmetic tags (no revenue effect)

These tags exist for flavor but contribute nothing to passenger revenue: Ordinary, Ordinary Passenger, Popular.

Other tags (unused)

These tags exist but are never used: Refreshing, Steady, Cautious, Neat, Sense of Security, Spotless, Carrying Valuables, Cleanliness.