A data management framework for strategic urban planning using blue-green infrastructure
(2021) In Journal of Environmental Management 299.- Abstract (Swedish)
- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/0d7d6f78-07be-480d-b309-1305f230ff93
- author
- Sörensen, Johanna LU ; Persson, Anna S. LU and Alkan Olsson, Johanna LU
- organization
- publishing date
- 2021-12-01
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Journal of Environmental Management
- volume
- 299
- article number
- 113658
- pages
- 10 pages
- publisher
- Elsevier
- external identifiers
-
- scopus:85114685055
- pmid:34523536
- ISSN
- 0301-4797
- DOI
- 10.1016/j.jenvman.2021.113658
- project
- Green is Gold
- Sustainable Urban Flood Management
- language
- Swedish
- LU publication?
- yes
- id
- 0d7d6f78-07be-480d-b309-1305f230ff93
- date added to LUP
- 2021-09-20 11:58:48
- date last changed
- 2023-02-21 10:59:13
@article{0d7d6f78-07be-480d-b309-1305f230ff93,
abstract = {{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.}},
author = {{Sörensen, Johanna and Persson, Anna S. and Alkan Olsson, Johanna}},
issn = {{0301-4797}},
language = {{swe}},
month = {{12}},
publisher = {{Elsevier}},
series = {{Journal of Environmental Management}},
title = {{A data management framework for strategic urban planning using blue-green infrastructure}},
url = {{https://lup.lub.lu.se/search/files/108594049/2021_JEMA_DataFramework.pdf}},
doi = {{10.1016/j.jenvman.2021.113658}},
volume = {{299}},
year = {{2021}},
}