As buildings are central to the social and environmental sustainability of human settlements, high-quality geospatial data are necessary to support their management and planning. Authorities around the world are increasingly collecting and releasing such data openly, but these are mostly disconnected initiatives, making it challenging for users to fully leverage their potential for urban sustainability. We conduct a global study of 2D geospatial data on buildings that are released by governments for free access, ranging from individual cities to whole countries. We identify and benchmark more than 140 releases from 28 countries containing above 100 million buildings, based on five dimensions: accessibility, richness, data quality, harmonisation, and relationships with other actors. We find that much building data released by governments is valuable for spatial analyses, but there are large disparities among them and not all instances are of high quality, harmonised, and rich in descriptive information. Our study also compares authoritative data to OpenStreetMap, a crowdsourced counterpart, suggesting a mutually beneficial and complementary relationship.
Moving the Needle: What Works Cities and the use of data and evidence
Bloomberg Philanthropies于2015年推出了What Works Cities（WWC），以帮助城市更好地利用数据和证据来推动决策并改善居民的生活。在未来三年内，WWC将与100个人口在10万至100万之间的美国城市合作，衡量他们的实践状况，并提供有针对性的技术援助。本文使用通过WWC发现过程获得的数据来了解67个城市目前如何使用数据提供城市服务。我们的分析证实，虽然城市拥有使用数据和证据的强烈愿望，但政府领导人在应用这些实践的能力方面受到限制。我们发现，一个城市对使用数据的承诺是整体表现的最强预测因素，几乎任何一个特定技术领域使用数据为决策提供信息的强有力实践都是其他领域强有力实践的指标。开放数据是一个例外;我们发现，较大的城市更善于采用开放数据政策和计划，而与其使用数据的整体表现无关。本文旨在更深入地了解这些调查结果背后的问题，并继续讨论如何最好地支持城市在这项工作中的努力。
Generative AI Meets Future Cities: Towards an Era of Autonomous Urban Intelligence
Computer Science University of Kansas Lawrence USA；Department of Computer Science Virginia Tech Falls Church USA；Department of Geography \& the Environment University of Alabama Tuscaloosa USA；Queensland University of Technology Brisbane Australia；School of Computing；Augmented Intelligence Arizona State University Tempe USA；University of Kansas；University of Alabama；Queensland University of Technology；Arizona State University
A2CI: A Cloud-based, Service-oriented Geospatial Cyberinfrastructure to Support Atmospheric Research
GeoDa Center for Geospatial Analysis and Computation, School of Geographical Sciences and Urban Planning, Arizona State University（亚利桑那州立大学地理科学与城市规划学院GeoDa地理空间分析与计算中心）
Security implications of digitalization: The dangers of data colonialism and the way towards sustainable and sovereign management of environmental data
