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UNCERTAINTY, FLEXIBILITY AND DESIGN: REAL-OPTIONS-BASED ASSESSMENT OF URBAN BLUE GREEN INFRASTRUCTURE

机译:不确定性,灵活性和设计:基于实物的城市蓝绿色基础设施评估

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摘要

Climate change and rapid urbanization requires decision-makers to develop a long-term forward assessment on sustainable urban water management projects. This is further complicated by the difficulties of assessing sustainable design and various design scenarios or technical alternatives from an economic standpoint. A conventional valuation approach for urban water management projects, like Discounted Cash Flow (DCF) analysis, fails to incorporate uncertainties such as amount of rainfall, unit cost of water, and technological uncertainties associated with future changes in scientific domain. Such approach also fails to include the value of flexibility, which enables managers to adapt and reconfigure a system over time as uncertainty unfolds. This work describes an integrated framework to value investments in urban water management systems under uncertainty. It extends conventional DCF analysis through explicit considerations of flexibility in systems design and management. The approach incorporates flexibility as intelligent decision-making mechanisms that enable the system to avoid future downside risks (e.g. cutting potential losses by reducing initial investment in case rainfall amounts are lower than expected), and increasing opportunities for upside gains (e.g. novel water catchment technology efficiency better than expected) over a range of possible futures. The approach builds upon real options analysis technique to value flexibility, and adapts the technique to address practical considerations for the system at hand.
机译:气候变化和快速的城市化要求决策者对可持续的城市水管理项目进行长期的前瞻性评估。从经济的角度评估可持续设计和各种设计方案或技术替代方案的困难使这一问题变得更加复杂。贴现现金流量(DCF)分析等城市水管理项目的常规评估方法无法纳入不确定性,例如降雨量,水的单位成本以及与科学领域未来变化相关的技术不确定性。这种方法也没有包含灵活性的价值,灵活性使管理者可以随着不确定性的发展逐步调整和重新配置系统。这项工作描述了一个综合框架,以评估不确定性下城市水管理系统中的投资。它通过明确考虑系统设计和管理的灵活性,扩展了传统的DCF分析。该方法将灵活性结合为智能决策机制,使系统能够避免未来的下行风险(例如,在降雨量低于预期的情况下,通过减少初始投资来减少潜在损失),并增加上行收益的机会(例如新型集水技术)效率超过预期)。该方法建立在实物期权分析技术的基础上,以重视灵活性,并使该技术适应当前系统的实际考虑。

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