An ideal form of smart city planning would focus on the availability of urban amenities that can meet the basic needs of a resident’s material life, civil connections, and humanistic spirit. Previous studies have concentrated on analyzing the spatial distribution of urban services, with less attention on their contribution as local urban amenities. In this study, we propose a spatial dynamic modeling approach based on urban amenities using social media data from Google Place API to provide locational information on potential resident interactions. We use a representative region in Europe (Stockholm County, SE) to simulate and project urban development in the region until 2050. Our circular conceptual framework of spatial information and feedback supports decision-makers in testing possible urban planning scenarios that align with the vision of a smart city. Simulation results reveal the interplay between human-land interactions on a specific spatial-temporal scale, and we analyze scenario outcomes in relation to commercial and residential land uses. Overall, our study provides a new perspective on human-social behavior-driven urban development, through a smart, spatial dynamic model as a planning support system that can enhance realism, and ultimately help realize planned development objectives in the region.

智慧城市规划的理想形式应侧重于城市设施的可用性，以满足居民物质生活、公民联系和人文精神的基本需求。以往的研究主要集中在分析城市服务的空间分布，较少关注它们作为当地城市便利设施的贡献。在这项研究中，我们提出了一种基于城市便利设施的空间动态建模方法，使用来自 Google Place API 的社交媒体数据来提供有关潜在居民互动的位置信息。我们使用欧洲的一个代表性区域（东南部斯德哥尔摩县）来模拟和预测该区域到 2050 年的城市发展。我们的空间信息和反馈循环概念框架支持决策者测试符合智慧城市愿景的可能城市规划场景。模拟结果揭示了特定时空尺度上人地相互作用之间的相互作用，我们分析了与商业和住宅用地用途相关的情景结果。总的来说，我们的研究为人类社会行为驱动的城市发展提供了一个新的视角，通过一个智能的空间动态模型作为规划支持系统，可以增强现实主义，并最终帮助实现该地区的规划发展目标。