方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 政策情景目标规划× | 政策情景分析× | |
|---|---|---|
| 领域 | 仿真 | 仿真 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1961 (goal programming); policy scenario application 1980s–present | 1967–1990s |
| 提出者≠ | Charnes, A., Cooper, W. W. (goal programming); policy scenario integration developed in OR/policy literature | Kahn, H. & Wiener, A. J. (seminal); adapted for policy by RAND Corporation and OECD |
| 类型≠ | Optimization under multiple conflicting goals across policy scenarios | Qualitative-quantitative hybrid scenario method |
| 开创性文献≠ | Charnes, A., Cooper, W. W. (1961). Management Models and Industrial Applications of Linear Programming. Wiley, New York. ISBN: 9780471153405 | Swart, R., Raskin, P., Robinson, J. (2004). The problem of the future: sustainability science and scenario analysis. Global Environmental Change, 14(2), 137–146. DOI ↗ |
| 别名 | PSGP, Policy GP, Scenario-based Goal Programming, Multi-scenario Goal Programming | PSA, Policy Scenarios, Policy Impact Scenario Analysis, Counterfactual Policy Analysis |
| 相关 | 5 | 5 |
| 摘要≠ | Policy Scenario Goal Programming (PSGP) integrates goal programming optimization with policy scenario analysis to evaluate how well competing policy objectives can be achieved under distinct future conditions. Decision-makers define multiple goals and several plausible policy scenarios, then solve a goal programming model for each scenario to identify which policy strategies best satisfy priority targets across the full scenario space. | Policy Scenario Analysis is a structured method for evaluating how different policy interventions perform across a range of plausible future states. By pairing specific policy levers with alternative scenarios, analysts can assess robustness, trade-offs, and unintended consequences of policy choices before implementation — making it a cornerstone of evidence-based policy design in fields from climate to public health. |
| ScholarGate数据集 ↗ |
|
|