2026-09-20T06:51:04Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/350872022-01-13T07:54:23Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Joseph Sussman and Richard de Neufville.
Hodota, Kenichi
Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering.
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
2006-12-18T20:37:27Z
2006-12-18T20:37:27Z
2006
2006
http://hdl.handle.net/1721.1/35087
71301919
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2006.
Includes bibliographical references (p. 147-154).
Compared with investments in the conventional infrastructure, those in Intelligent Transportation Technology (ITS) include various uncertainties. Because deployment of ITS requires close public-private partnership, projects concerning the R&D and deployment of ITS technology involve project risks and market risks induced by both the public and private sector. This characteristic makes it difficult to evaluate the value of the project through traditional valuation method such as the benefit cost analysis (BCA) or the discounted cash flow (DCF) method. To address the difficulty, this thesis proposes two appropriate valuation methodologies for R&D and deployment of ITS: decision analysis and "hybrid real options" analysis that combines decision analysis and real option analysis. This thesis applies the proposed methodologies to a case example of the ongoing R&D and deployment project to reduce the automobile crashes at intersection under public-private partnerships. The proposed systems in the project consist of two conflicting concepts; one depends on user acceptance of in-vehicle ITS technology employed, and the other one does not require user acceptance of this ITS technology.
(cont.) To evaluate the value of two concepts, this thesis identifies various uncertainties associated with the project and quantifies them by utilizing various quantitative techniques including the product diffusion model to formulate project risks and market risks. This thesis finally compares the financial value in two concepts and demonstrates that the concept without in-vehicle ITS technology is a more promising system for crash prevention at an intersection than that with this technology and recognizes the value of real option in case of the unfavorable outcome of the R&D stage. The results imply that developing attractive new product and obtaining user acceptance of ITS technology are the most crucial factors to influence the project value and future success of the countermeasures.
by Kenichi Hodota.
S.M.
154 p.
30096256 bytes
30095708 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Civil and Environmental Engineering.
R&D and deployment valuation of intelligent transportation systems : a case example of the intersection collision avoidance systems
Research and development and deployment valuation of intelligent transportation systems
Thesis
application/pdf
Publication
unknown
unknown
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<Abstract>Compared with investments in the conventional infrastructure, those in Intelligent Transportation Technology (ITS) include various uncertainties. Because deployment of ITS requires close public-private partnership, projects concerning the R&D and deployment of ITS technology involve project risks and market risks induced by both the public and private sector. This characteristic makes it difficult to evaluate the value of the project through traditional valuation method such as the benefit cost analysis (BCA) or the discounted cash flow (DCF) method. To address the difficulty, this thesis proposes two appropriate valuation methodologies for R&D and deployment of ITS: decision analysis and "hybrid real options" analysis that combines decision analysis and real option analysis. This thesis applies the proposed methodologies to a case example of the ongoing R&D and deployment project to reduce the automobile crashes at intersection under public-private partnerships. The proposed systems in the project consist of two conflicting concepts; one depends on user acceptance of in-vehicle ITS technology employed, and the other one does not require user acceptance of this ITS technology.</Abstract>
<Abstract>(cont.) To evaluate the value of two concepts, this thesis identifies various uncertainties associated with the project and quantifies them by utilizing various quantitative techniques including the product diffusion model to formulate project risks and market risks. This thesis finally compares the financial value in two concepts and demonstrates that the concept without in-vehicle ITS technology is a more promising system for crash prevention at an intersection than that with this technology and recognizes the value of real option in case of the unfavorable outcome of the R&D stage. The results imply that developing attractive new product and obtaining user acceptance of ITS technology are the most crucial factors to influence the project value and future success of the countermeasures.</Abstract>
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