de Koning Remco Elric, Heldal Rogardt, Tan Wendy
Western Norway University of Applied Sciences, Inndalsveien 28, Bergen 5063, Norway.
Wageningen University and Research, P.O. Box 9101 HB, Wageningen 6700, the Netherlands.
Data Brief. 2022 May 18;42:108290. doi: 10.1016/j.dib.2022.108290. eCollection 2022 Jun.
A better understanding of how the spatial configuration of cities, understood as urban structure and forms, can achieve sustainable development is needed. This paper presents spatial data and an automated workflow for studying the urban structures (i.e., road and transportation networks) and forms (i.e., building size, position, function and density) of two medium-sized European cities - Bergen, Norway and Zürich, Switzerland. The data focuses on examining correlations between the densification patterns and transport energy usage of these cities de Koning et al., (2020). Spatial and tabular datasets for (i) urban structures, (ii) urban forms, (iii) building density, (iv) road centre lines and (v) transport energy usage are obtained as georeferenced files from OpenStreetMap (OSM) and upon request from collaborating local and national authorities. Transport energy data is derived from traffic data collected from the Norwegian Public Road Authorities or simulated via a traffic model. Open-source data is used wherever possible. Data gaps within proprietary data are supplemented with proxies or open-source data. Hand-drawn axial maps drawn by the authors using the Space Syntax methods and analysed via depthmapX software are a crucial dataset presented here. All analysed data are then returned to a Geographical Information System (GIS) platform and processed via an automated workflow of 19 steps built via the ModelBuilder tool in ESRI® ArcGIS. The automated workflow allows for repetitive cross-city comparison and the compilation of diverse spatial data sources for analysis. In combination with the novel workflow, the dataset can be used for future comparative studies in spatial planning, transport planning and management of energy systems to facilitate informed decision-making towards more sustainable developments.
我们需要更好地理解城市的空间配置（即城市结构和形态）如何实现可持续发展。本文展示了用于研究两个欧洲中等规模城市——挪威卑尔根和瑞士苏黎世的城市结构（即道路和交通网络）及形态（即建筑规模、位置、功能和密度）的空间数据和自动化工作流程。数据重点考察了这些城市的致密化模式与交通能源使用之间的相关性（de Koning等人，2020年）。关于（i）城市结构、（ii）城市形态、（iii）建筑密度、（iv）道路中心线和（v）交通能源使用的空间和表格数据集，作为地理参考文件从开放街道地图（OSM）获取，并应合作的地方和国家当局的要求提供。交通能源数据来自挪威公共道路管理局收集的交通数据或通过交通模型模拟得出。尽可能使用开源数据。专有数据中的数据缺口用代理数据或开源数据补充。作者使用空间句法方法绘制并通过depthmapX软件分析的手绘轴向地图是本文呈现的关键数据集。然后，所有分析数据都返回至地理信息系统（GIS）平台，并通过ESRI® ArcGIS中的ModelBuilder工具构建 的19步自动化工作流程进行处理。该自动化工作流程允许进行重复的跨城市比较，并汇编各种空间数据源进行分析。结合新颖的工作流程，该数据集可用于未来空间规划、交通规划和能源系统管理方面的比较研究，以促进做出更有利于可持续发展的明智决策。
