TY - JOUR
T1 - Airline investments in exclusive airport facilities: Timing decisions under demand ambiguity
AU - Zheng, Shiyuan
AU - Fu, Xiaowen
AU - Jiang, Changmin
AU - Ge, Ying En
N1 - Funding Information:
The authors would like to thank three anonymous referees for their very helpful comments and suggestions. This work is supported in part by the National Science Foundation of China (No. 71803131 , 71671110 , 71774109 ) and the Hong Kong Polytehnic University (1-BE2E). The authors are also grateful for the support of the Lloyd's Register Foundation, a charity that helps to protect life and property by supporting engineering-related education, public engagement, and the application of research. Financial supports from the Social Science and Humanities Research Council of Canada (SSHRC 435–2017–0728 , 430–2019–00725 ) and the University of Manitoba Transport Institute (UMTI) are gratefully acknowledged.
Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/9
Y1 - 2020/9
N2 - In this paper, we study the timing decision of airlines’ investments in exclusive airport facilities in the presence of demand ambiguity and competition. We model the investment decision as a real options problem under ambiguity. An airline's ambiguity-averse preferences are modeled using the multiple prior expected utility form. We obtain the optimal investment timing rule for the airline and find that it requires the airline's expected present value of its future incremental profit from investing to exceed the investment cost by the option value multiplier. We then compare the airline's optimal investment timing rule to the social optimum and discuss two possible subsidy policies, a lump-sum subsidy and a per-unit subsidy, with which the government can align the airline's investment timing rule with the social optimum. We characterize the stepwise structure of both subsidy policies, in which the optimal time to invest in an exclusive terminal depends on three thresholds: the social optimum, the airline's break-even point, and a combination of the social optimum and the airline optimum. We conclude that the two subsidy policies have equivalent effects when the government and the airline have the same ambiguity levels, as they lead to the same investment timing and require the same amount of government funds.
AB - In this paper, we study the timing decision of airlines’ investments in exclusive airport facilities in the presence of demand ambiguity and competition. We model the investment decision as a real options problem under ambiguity. An airline's ambiguity-averse preferences are modeled using the multiple prior expected utility form. We obtain the optimal investment timing rule for the airline and find that it requires the airline's expected present value of its future incremental profit from investing to exceed the investment cost by the option value multiplier. We then compare the airline's optimal investment timing rule to the social optimum and discuss two possible subsidy policies, a lump-sum subsidy and a per-unit subsidy, with which the government can align the airline's investment timing rule with the social optimum. We characterize the stepwise structure of both subsidy policies, in which the optimal time to invest in an exclusive terminal depends on three thresholds: the social optimum, the airline's break-even point, and a combination of the social optimum and the airline optimum. We conclude that the two subsidy policies have equivalent effects when the government and the airline have the same ambiguity levels, as they lead to the same investment timing and require the same amount of government funds.
KW - Airport investment
KW - Investment timing
KW - Knightian uncertainty
KW - Multiple prior expected utility (MEU)
KW - Real options
KW - Vertical arrangements
UR - http://www.scopus.com/inward/record.url?scp=85087329351&partnerID=8YFLogxK
U2 - 10.1016/j.trb.2020.05.004
DO - 10.1016/j.trb.2020.05.004
M3 - Journal article
AN - SCOPUS:85087329351
SN - 0191-2615
VL - 139
SP - 343
EP - 363
JO - Transportation Research Part B: Methodological
JF - Transportation Research Part B: Methodological
ER -