Guest’s Cumulative Daily Wait Time

We conducted four simulations in our analysis. Table 3 below highlights our different models and their corresponding distribution of guests to the first roller coaster they ride. After they exit their first attraction of the day, we call on the ISS Park Guest Flow Matrix to determine where they go next.

●  Model 1 in SIMUL8 is the control model, reflective of Busch Garden’s initial park distribution: 80% of people first head to Cheetah Hunt, 10% to Montu, 5% to Kumba, and 5% to SheiKra.

●  Model 2 is the expected distribution we expect after implementing our fastpass solution.

●  Model 3 is a hypothetical model of even flow to the four main attractions

●  Model 4 is a distribution designed on hourly capacity of each ride, sending most riders to the coaster with the largest capacity, Kumba.

SIMUL8 Model

Cheetah Hunt

Montu

Kumba

SheiKra

Entrance Distribution Description

1

80%

10%

5%

5%

Busch Garden’s current state (Control)

2

64%

12%

12%

12%

Fastpass Expected Distribution

3

25%

25%

25%

25%

Fastpass with even distribution to all 4 marquee attractions

4

22%

28%

27%

23%

Fastpass based on maximum ride capacity

Table 3 : four different distributions based on hypothetical guest behavior before and after fastpass systems

 

Model 1 Versus Model 2

The chart belows describes the total amount of time an individual spent waiting in a line during their day. The y-axis represents a sum of the amount of individuals who waited within a specific time interval.

screen-shot-2016-12-12-at-10-14-02-pm

Figure 16: Park Guests Daily Cumulative Wait Time (Model 1 Versus Model 2)

Figures 17 and 18 below are a breakdown of the first 5 time segments and the corresponding amount of individuals who waited within those specific time intervals.

screen-shot-2016-12-12-at-10-15-26-pm

Figure 17: Cumulative Wait Time Lower Cluster (Model 1 Versus Model 2)

screen-shot-2016-12-12-at-10-14-56-pm

Figure 18: Cumulative Wait Time Upper Cluster (Model 1 Versus Model 2)