Sörensen J, Persson A S, Olsson J Alkan
Water Resources Engineering, Lund University, Lund, Sweden.
Centre for Environmental and Climate Science, Lund University, Lund, Sweden.
J Environ Manage. 2021 Dec 1;299:113658. doi: 10.1016/j.jenvman.2021.113658. Epub 2021 Sep 13.
Spatial planning of Blue-Green Infrastructure (BGI) should ideally be based on well-evaluated and context specific solutions. One important obstacle to reach this goal relates to adequate provisioning of data to ensure good governance of BGI, i.e., appropriate planning, design, construction, and maintenance. This study explores the gap between data availability and implementation of BGI in urban planning authorities in Sweden. A multi method approach including brainstorming, semi-structured interviews with urban planners and experts on BGI and Geographical Information System (GIS), and validating workshops were performed to develop a framework for structured and user-friendly data collection and use. Identified challenges concern data availability, data management, and GIS knowledge. There is a need to improve the organisation of data management and the skills of trans-disciplinary cooperation to better understand and interpret different types of data. Moreover, different strategic goals require different data to ensure efficient planning of BGI. This calls for closer interactions between development of strategic political goals and data collection. The data management framework consists of three parts: A) Ideal structure of data management in relation to planning process, data infrastructure and organisational structure, and B) A generic list of data needed, and C) The development of structures for data gathering and access. We conclude that it is essential to develop pan-municipal data management systems that bridge sectors and disciplines to ensure efficient management of the urban environment, and which is able to support the involvement of citizens to collect and access relevant data. The framework can assist in such development.
蓝绿基础设施(BGI)的空间规划理想情况下应基于经过充分评估且因地制宜的解决方案。实现这一目标的一个重要障碍与数据的充分提供有关,以确保对BGI进行良好治理,即进行适当的规划、设计、建设和维护。本研究探讨了瑞典城市规划部门在BGI数据可用性与实施之间的差距。采用了多种方法,包括头脑风暴、对城市规划师以及BGI和地理信息系统(GIS)专家进行半结构化访谈,以及开展验证研讨会,以制定一个结构化且用户友好的数据收集和使用框架。已识别出的挑战涉及数据可用性、数据管理和GIS知识。需要改进数据管理的组织方式以及跨学科合作的技能,以便更好地理解和解释不同类型的数据。此外,不同的战略目标需要不同的数据来确保BGI的高效规划。这就要求在战略政治目标的制定与数据收集之间进行更紧密的互动。数据管理框架由三个部分组成:A)与规划过程、数据基础设施和组织结构相关的数据管理理想结构;B)所需数据的通用列表;C)数据收集和访问结构的开发。我们得出结论,开发跨部门和跨学科的全市数据管理系统至关重要,以确保对城市环境进行有效管理,并能够支持公民参与收集和获取相关数据。该框架可助力此类开发。