Computational Urban Science

期刊简介：Computational Urban Science publishes rigorously peer-reviewed and high-quality original articles, reviews, method papers, and opinion papers that focus on the intersection of computational sciences and urban sciences in building intelligent and resilient cities. It is an OA journal and the APCs are fully covered by Jiangxi Normal University until Dec 31, 2025. The journal aims to introduce the latest results in urban computing and its applications, examine both the spatial and social dimensions of urban networks and built environment, promote the cooperation between computational disciplines and the urban domain sciences, and build a bridge for scientific communication. This journal will focus on the development of research frameworks, theories, methods and good case studies of tackling key urban research challenges in the mobile and big data era. Sample topics include but not limited to: 1.Agent-based models of social interactions 2.Data sharing and dissemination in urban computing research 3.Large-scale Social activities in physical and virtual spaces 4.Multi-scale urban modeling 5.Privacy issues in mobile and big data and possible solutions 6.Space-time data models for urban computing 7.Spatiotemporal social network analysis 8.Trajectory data mining, analysis, and visualization 9.Visualization and computation of big health data

【译文】计算城市科学发表经过严格同行评审的高质量原创文章、评论、方法论文和意见论文，重点关注计算科学和城市科学在建设智能和弹性城市方面的交叉点。该期刊为OA期刊，APC由江西师范大学全面覆盖，截止日期为2025年12月31日。该刊旨在介绍城市计算及其应用的最新成果，审视城市网络和建筑环境的空间和社会维度，促进计算学科与城市领域科学之间的合作，搭建科学交流的桥梁。该期刊将重点发展研究框架、理论、方法和良好的案例研究，以应对移动和大数据时代的关键城市研究挑战。示例主题包括但不限于： 1. 基于代理的社交互动模型 2. 城市计算研究中的数据共享和传播 3. 物理和虚拟空间中的大规模社交活动 4. 多尺度城市建模 5. 移动和大数据中的隐私问题及可能的解决方案 6. 城市计算的时空数据模型 7. 时空社交网络分析 8. 轨迹数据挖掘、分析和可视化 9. 大健康数据的可视化和计算