Flexible Design of Airport System Using Real Options Analysis - MIT
Flexible Design of Airport System Using Real Options Analysis - MIT
Flexible Design of Airport System Using Real Options Analysis - MIT
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12/14/2007<br />
1.231 Planning and <strong>Design</strong> <strong>of</strong> <strong>Airport</strong> <strong>System</strong> Dai Ohama<br />
Table 4-3 Summary <strong>of</strong> <strong>Analysis</strong> Condition<br />
Initial Future<br />
Investment Expansion<br />
Perspective Simulation Option<br />
<strong>Design</strong> A<br />
R/W,<br />
PT/W & SE<br />
N/A Deterministic No No<br />
<strong>Design</strong> B<br />
R/W,<br />
Recognizing<br />
N/A<br />
PT/W & SE<br />
Uncertainty<br />
Yes No<br />
<strong>Design</strong> C R/W PT/W & SE Incorporating<br />
Flexibility<br />
Yes Yes<br />
Source: Applied R de Neufville, S. Scholtes, T. Wang [7]<br />
4.5 Result <strong>of</strong> <strong>Analysis</strong><br />
Table 4-4, 4-5, 4-6 shows the cash flow pro forma for three cases. Table 4-4 shows the<br />
cash flow pro forma and calculating the NPV <strong>of</strong> the project assuming the demand <strong>of</strong> the<br />
number <strong>of</strong> passengers grows as projected. (Case A) In this case, the expected NPV<br />
(ENPV) <strong>of</strong> the project is ¥678.8 billion. However, this value is not realistic since the actual<br />
demand <strong>of</strong> the number <strong>of</strong> passengers can change from this deterministic value.<br />
Table 4-5 shows the cash flow pro forma and calculating the NPV <strong>of</strong> the project<br />
recognizing uncertainty. (Case B) In this case, Monte Calro Simulation is conducted and it<br />
produces 2,000 possible demand scenarios. The ENPV <strong>of</strong> this case is ¥638.3 billion. But<br />
this ENPV is just one <strong>of</strong> the 2,000 scenarios. This simulation can generate 2,000 ENPV in<br />
each scenario, and can also generate distribution for each scenario. The actual ENPV is<br />
distributed as shown in Figure 4-5. The average <strong>of</strong> ENPV is ¥569.3 billion, which is less<br />
than that <strong>of</strong> the Case A. Although this design assumes that there are equal chances that<br />
demand changes to higher and to lower, this design limits the higher value <strong>of</strong> the project<br />
since the capacity is fixed, while there are still lower chances to generate losses. [7]<br />
Table 4-6 shows the cash flow pro forma and calculating the NPV <strong>of</strong> the project<br />
recognizing uncertainty and holding the option to expand. (Case C) This case also<br />
recognizes uncertainty and Monte Calro Simulation is conducted, which produces the ENPV<br />
<strong>of</strong> ¥686.7 billion. But this ENPV is also just one <strong>of</strong> the 2,000 scenarios. In this design,<br />
the actual ENPV is distributed as shown in Figure 4-5, and the average <strong>of</strong> ENPV is ¥621.6<br />
billion, which is higher than that <strong>of</strong> Case B. Because the option to expand is exercised<br />
when the demand is higher than the current capacity, the ENPV is improved higher. The<br />
Term Project: <strong>Flexible</strong> <strong>Design</strong> <strong>of</strong> <strong>Airport</strong> <strong>System</strong> Page 18 <strong>of</strong> 22