Guest movement and behavior prediction within a venue

A method of motivating behavior within a venue, the method comprising:

• for a first entity comprising at least one individual, correlating the entities current actual behavior with past behavior records of other entities to identify correlated past behavior records;
• using the correlated past behavior records, predicting at least one future behavior of the first entity;
• and
• determining whether the predicted future behavior is consistent with operational goals of the venue;
• and
• when the predicted future behavior is inconsistent with the operational goals, taking a responsive action comprising one or more actions selected from the group consisting of:
• providing a motivation to change the first entities future behavior such that it is different from the predicted behavior and changing some operational characteristic of the venue such that the predicted future behavior is consistent with operational goals of the venue.

A computer-readable storage medium storing one or more application programs, which, when executed on a computer perform an operation for managing venue operations based on predictions of guest behavior, the operation comprising:

• generating, from historical guest movement data identifying guest locations within the venue, patterns of guest movement within the venue;
• obtaining, for a plurality of current guests visiting the venue, data specifying observed locations of the plurality of current guests within the venue;
• predicting, based on the location data and the patterns of guest movement generated from the historical guest movement data, predicted future locations within the venue for at least some of the plurality of current guests;
• and
• adjusting venue operations based on the predicted future locations.

A system, comprising:

• a processor;
• and
• a memory storing one or more application programs, which, when executed on the processor perform an operation for managing venue operations based on predictions of guest behavior, the operation comprising:
• generating, from historical guest movement data identifying guest locations within the venue, patterns of guest movement within the venue,
• obtaining, for a plurality of current guests visiting the venue, data specifying observed locations of the plurality of current guests within the venue,
• predicting, based on the location data and the patterns of guest movement generated from the historical guest movement data, predicted future locations within the venue for at least some of the plurality of current guests, and
• adjusting venue operations based on the predicted future locations.