小城镇与乡村地区的数字孪生：下奥地利州三个用例中的数据集成、模拟与可视化
Digital Twins for Small Towns and Rural Regions: Data Integration, Simulation and Visualisation Across Three Use Cases in Lower Austria
- University of Applied Sciences St. Pölten（圣珀尔滕应用科学大学）
- University for Continuing Education Krems（克雷姆斯继续教育大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本文通过下奥地利州三个原型用例，探讨了将数字孪生概念适配于小城镇和乡村地区的方法，并评估了其可行性与局限性。
AI中文摘要：
智慧城市和数字孪生概念在改善地方治理和规划方面具有相当大的潜力，然而实际实施几乎完全集中于大城市区域。小城镇和乡村地区面临一系列独特的挑战——数据可用性有限、预算受限和数字能力较低——这使得城市方法的直接转移不可行。本文介绍了正在进行的项目“下奥地利州的智慧城市与数字孪生”的成果，该项目采用设计科学研究方法，将数字孪生概念适配于小城镇和乡村环境。基于与下奥地利州各市镇的利益相关者研讨会，确定了三个用例并作为数字孪生原型实施：交通流规划（强调数据集成）、人口增长（强调模拟）和共享空间（强调可视化）。我们描述了每个原型的设计和实现，并报告了对其可行性的技术评估。我们的研究结果突出了数字孪生在资源受限环境中的潜力和具体局限性，并为在非城市环境中工作的市镇、政策制定者和研究人员提供了实用指导。
英文摘要：
Smart city and digital twin concepts hold considerable potential for improving local governance and planning, yet practical implementations have almost exclusively focused on large metropolitan areas. Small towns and rural regions face a distinct set of challenges -- limited data availability, constrained budgets and lower digital capacity -- that make a direct transfer of urban approaches infeasible. This article presents results from the ongoing project "Smart Cities and Digital Twins in Lower Austria", which adapts digital twin concepts for small-town and rural contexts following a design science research approach. Based on stakeholder workshops with municipalities in Lower Austria, three use cases were identified and implemented as prototype digital twins: traffic flow planning (emphasising data integration), population growth (emphasising simulation) and shared spaces (emphasising visualisation). We describe the design and implementation of each prototype and report on a technical evaluation of their feasibility. Our findings highlight both the potential and the specific limitations of digital twins in resource-constrained settings and offer practical guidance for municipalities, policymakers and researchers working in non-urban contexts.
