融合宏观规划与社区需求，实现城市发展的动态平衡。
Adaptive Urban Planning: A Hybrid Framework for Balanced City Development
- 分两层设计：先全局优化基础设施，再由四个区域代理提出个性化调整
- 在印度三座快速城市验证，显著提升规划精细度与整体功能一致性
- 适合关注城市可持续发展与社区参与的规划者与政策制定者
城市规划面临如何在全市基础设施需求与局部人口偏好之间取得平衡的挑战，尤其在快速发展的地区更为突出。现有方法多聚焦自上而下优化或自下而上社区规划，少数框架成功融合两者。本文提出双层方法：首先用确定性求解器优化城市区域的基础设施数量；其次，四个代表不同子区域的专业规划代理分别提出符合本地人口特征的修改建议，提交给主规划者进行评估与整合，以确保整体协调发展。我们在新构建的数据集上验证该框架，该数据集包含印度三座快速发展城市中详细的城市与子区域地图，重点关注快速城市化区域。结果表明，该混合方法能实现更精细的城市发展，同时保持城市整体功能稳定。
原文摘要 · Abstract (English)
Urban planning faces a critical challenge in balancing city-wide infrastructure needs with localized demographic preferences, particularly in rapidly developing regions. Although existing approaches typically focus on top-down optimization or bottom-up community planning, only some frameworks successfully integrate both perspectives. Our methodology employs a two-tier approach: First, a deterministic solver optimizes basic infrastructure requirements in the city region. Second, four specialized planning agents, each representing distinct sub-regions, propose demographic-specific modifications to a master planner. The master planner then evaluates and integrates these suggestions to ensure cohesive urban development. We validate our framework using a newly created dataset comprising detailed region and sub-region maps from three developing cities in India, focusing on areas undergoing rapid urbanization. The results demonstrate that this hybrid approach enables more nuanced urban development while maintaining overall city functionality.
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