# data[].attributes.body
The allocation from other travel supliers

Factors:
-seasonality
-ancillary services

# data[].attributes.body
The amount of people that can fit a theme park venue

Factors:
-seasonality
-ancillary services/products
-Amount of rides
-Weather
-Packages
-Themes (storytelling)
-Other services (F&B)

# data[].attributes.body
The amount of people that can be controlled in relation to the employees

Factors:
-Location
-seasonality
-popularity
-staffing
-weather

# data[].attributes.body
The balancing of venue space and ticketing

Factors:
-Popularity of the event
-Seasonality
-Ancillary services
-Ticket type (VIP etc)
-package

# data[].attributes.body
Cars to be sold

Factors:
-inventory
-car types
-Ancillary services
-Extra equipment (baby seat)
-Seasonality

# data[].attributes.body
The amount rooms to be sold
-room type management

Factors:
-seasonality
-time of booking
-customer types
-overbooking
-Hotel chains
-ancillary services
-staff

# data[].attributes.body
Accommodation capacity, Transfer Capacity, Excursions, Flight Seats

# data[].attributes.body
The amount of sold rooms

# data[].attributes.body
Capacity of the park, Safety measures

# data[].attributes.body
The amount of seats in an aircract to be sold
-different travel classes needs to be taken into account
Factors:
-seasonality
-time of booking
-Customer segments
-Loyalty programs and  company agreements
-ancillary services
-airline alliances
-staff

# data[].attributes.body
The amount of tickets

# data[].attributes.headline
-the link between occupancy and revenue management: cruise ship cabins and hotel rooms: one unit can be sold for different number of persons

# data[].attributes.subject
-the link between occupancy and revenue management: cruise ship cabins and hotel rooms: one unit can be sold for different number of persons

# data[].attributes.body
-car rental companies: capacity (number of cars) is constantly changing, cars moved between stations
-airlines use different channels to maximize capacity: direct sales, tour operator allotments, OTA, TMCs (corporate agreements), other airlines (alliances+codeshare)
-cruising companies: pricing and marketing based on the age of the ship, excursions, tips, optimizing cruise itineraries
-theme parks: maximizing revenue by keeping queuing times to rides low, selling ancillaries, different ticket price for different segments
-boosting sales to events and theme parks: combination tickets, co-operation in marketing

# data[].attributes.body
Space

# data[].attributes.body
The amount of tickets

# data[].attributes.body
Amount of cabins

# data[].attributes.body
The amount of cars