Real Options to Increase the Value of Intelligent Transportation Systems

被引：19

作者：

de Neufille, Richard ^{[1
]}

Hodota, Kenichi ^{[2
]}

Sussman, Joseph ^{[1
]}

Scholtes, Stefan ^{[3
]}

机构：

[1] MIT, Dept Civil & Environm Engn, Syst Div, Cambridge, MA 02139 USA

[2] E Japan Railway Co, Transport & Rolling Stock Dept, Shibuya Ku, Tokyo 1518578, Japan

[3] Univ Cambridge, Judge Business Sch, Cambridge CB2 1AG, England

来源：

TRANSPORTATION RESEARCH RECORD | 2008年 / 2086期

关键词：

D O I：

10.3141/2086-05

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

A practical approach was developed to calculate how design flexibility that is, real options-in systems can increase the value of these enterprises. A flexible approach to the deployment of infrastructure systems enables owners to manage the development of these facilities to increase expected value. Real options in the system make the system adaptable to future patterns of technological innovation and changes in stakeholder needs. With this flexibility, system managers can respond effectively to good opportunities and withdraw from unproductive paths of deployment. This is important because forecasts concerning major infrastructure systems are inherently uncertain: trend-breakers routinely disrupt historical patterns. Real options are especially valuable for innovative, major long-term developments, for which trends hardly exist and forecasts are highly speculative. To illustrate the use and value of real options, a case study was followed for the deployment of a particular aspect of intelligent transportation systems: innovative crash avoidance systems that reduce accidents at highway intersections.

引用

页码：40 / 47

页数：8

共 50 条

[21] Rhodes to Intelligent Transportation Systems
Mirchandani, P
Wang, FY
[J]. IEEE INTELLIGENT SYSTEMS, 2005, 20 (01): : 10 - 15
[22] Intelligent transportation systems - Preface
Mitta, DA
Kelly, MJ
[J]. HUMAN FACTORS, 1997, 39 (02) : 161 - 163
[23] Sensors in Intelligent Transportation Systems
Okarma, Krzysztof
Andriukaitis, Darius
Malekian, Reza
[J]. JOURNAL OF ADVANCED TRANSPORTATION, 2019, 2019
[24] Unlocking the value of real options
Bailey, William
Couët, Benoît
Bhandari, Ashish
Faiz, Soussan
Srinivasan, Sundaram
Weeds, Helen
[J]. Oilfield Review, 2003, 15 (04): : 4 - 15
[25] Real-time DDoS flooding attack detection in intelligent transportation systems
Karthikeyan, H.
Usha, G.
[J]. COMPUTERS & ELECTRICAL ENGINEERING, 2022, 101
[26] Real-rime Locating Systems for Smart City and Intelligent Transportation Applications
Banach, Marzena
Dlugosz, Rafal
[J]. 2017 IEEE 30TH INTERNATIONAL CONFERENCE ON MICROELECTRONICS (MIEL), 2017, : 231 - 234
[27] Real Time Intelligent Technological Control of Reliability and Efficiency in the Systems of Carbon Transportation
Zemenkova, M.
Gladenko, A.
Alexandrov, M.
Zemenkov, Yu.
[J]. OIL AND GAS ENGINEERING (OGE-2019), 2019, 2141
[28] Real-time and Secure Geospatial Data Warehouse for Intelligent Transportation Systems
Chan, Sean Ryan S.
Dilangalen, Datuluna Ali G.
Tan, Wilson M.
[J]. 11TH INTERNATIONAL CONFERENCE ON ICT CONVERGENCE: DATA, NETWORK, AND AI IN THE AGE OF UNTACT (ICTC 2020), 2020, : 741 - 746
[29] Real-Time Detection and Mitigation of DDoS Attacks in Intelligent Transportation Systems
Haydari, Ammar
Yilmaz, Yasin
[J]. 2018 21ST INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2018, : 157 - 163
[30] On the value of project safeguards: Embedding real options in complex products and systems
Gil, Nuno
[J]. RESEARCH POLICY, 2007, 36 (07) : 980 - 999

← 1 2 3 4 5 →