As urbanization pressures continue to intensify globally, the implementation of green infrastructure (GI) has emerged as a critical intervention for enhancing the resilience of our communities. However, literature exploring the integration of GI planning and design within the complex mechanisms of urban systems is limited. This study posits that the sensible deployment of GI should consider place-based supply along with locational demand. This research proposes a novel and integrated approach to GI planning that responds to evolving urban contexts and encompasses the operational mechanisms of services at multiple scales. We first assess the spatial mismatch between GI service supply and demand using standard spatial analytical approaches. We then project scenario-based futures to highlight future mismatch or exacerbated mismatch issues. Our results find that GI services are a significant growth driver that impacts development patterns, and the results also reveal a potential spatial shift in the service mismatches in the future. Our approach involves a dynamic spatial simulation of urban growth and the quantification of GI services over space and time. The ultimate goal is to provide reliable place-based information on optimal GI locations for planning and design purposes. We hope that this study will make a meaningful contribution to the broader discourse surrounding the resilience of urban places and the role of GI.

中文翻译：

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多尺度绿色基础设施优化：动态规划和设计的空间预测和评估


随着全球城市化压力持续加剧，绿色基础设施（GI）的实施已成为增强社区复原力的关键干预措施。然而，探讨地理标志规划和设计在城市系统复杂机制中整合的文献却很有限。这项研究认为，地理标志的合理部署应考虑基于地点的供应和地点需求。这项研究提出了一种新颖且综合的地理标志规划方法，该方法可以响应不断变化的城市环境，并涵盖多个尺度的服务运营机制。我们首先使用标准空间分析方法评估地理标志服务供给和需求之间的空间不匹配。然后，我们预测基于场景的未来，以突出未来的不匹配或加剧的不匹配问题。我们的研究结果发现，地理标志服务是影响发展模式的重要增长动力，结果还揭示了未来服务错配的潜在空间转移。我们的方法涉及城市增长的动态空间模拟以及地理标志服务在空间和时间上的量化。最终目标是为规划和设计目的提供有关最佳地理标志位置的可靠的基于地点的信息。我们希望这项研究将为围绕城市地区的恢复力和地理标志的作用的更广泛的讨论做出有意义的贡献。