Process / pipelineSimulation / optimization
政策情景敏感性分析 — 在既定未来中对政策模型进行稳健性测试
政策情景敏感性分析（Policy Scenario Sensitivity Analysis, PSSA）结合了结构化情景规划与形式化敏感性分析，旨在确定在不同政策选择或未来状态下，哪些模型输入和政策参数对结果影响最大。该方法广泛应用于公共卫生、气候、能源和经济政策建模，以识别在关键假设变化时仍表现良好的稳健干预措施。
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来源
- Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., & Tarantola, S. (2008). Global Sensitivity Analysis: The Primer. John Wiley & Sons, Chichester. ISBN: 9780470059975
- Lempert, R. J., Popper, S. W., & Bankes, S. C. (2003). Shaping the Next One Hundred Years: New Methods for Quantitative, Long-Term Policy Analysis. RAND Corporation, Santa Monica, CA. link ↗
如何引用本页
ScholarGate. (2026, June 3). Policy Scenario Sensitivity Analysis — Structured examination of how model outputs respond to input variation across defined policy alternatives. ScholarGate. https://scholargate.app/zh/simulation/policy-scenario-sensitivity-analysis
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 蒙特卡洛模拟决策↔ compare
- 政策情景分析仿真↔ compare
- 稳健性敏感性分析仿真↔ compare
- 敏感性分析决策↔ compare
- Stochastic Sensitivity Analysis仿真↔ compare