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Author Van Oijstaeijen, W.; Finizola e Silva, M.; Back, P.; Collins, A.; Verheyen, K.; De Beelde, R.; Cools, J.; Van Passel, S.
Title The Nature Smart Cities business model : a rapid decision-support and scenario analysis tool to reveal the multi-benefits of green infrastructure investments Type Administrative Services
Year (down) 2023 Publication Urban forestry & urban greening Abbreviated Journal
Volume 84 Issue Pages 127923-14
Keywords Administrative Services; A1 Journal article; Art; Engineering Management (ENM)
Abstract Incorporating natural spaces within urban areas has been shown to have multiple benefits. However, despite greening and adaptation strategies at different levels of government, progress remains slow with a lack of easy to use and comprehensive tools identified as key to overcoming this. This paper presents a co-designed tool with academic and local authority partners to demonstrate the ecosystem service benefits of small-scale urban green infrastructure projects. Through the tool, users can readily assess the impact of green infrastructure investments on the delivery of a selection of ecosystem services in the early stages of a project. Furthermore, the tool provides a standardised assessment of cultural ecosystem services' contributions, as well as offering a method to score spatial designs on the impact on habitat for biodiversity. Use of the tool is demonstrated using a pilot study in Kapelle, the Netherlands. The results set out an overview of the impacts of the spatial design on estimated ecosystem service delivery. They also show the tool's potential to add value in early project stages and as a planning and design tool, helping to maximise the benefits that can be achieved through green infrastructure design. Complementing these arguments with ball-park estimations on green infrastructure costs, the Nature Smart Cities Business Model aims to offer public sector officers the means to create a business case for green infrastructure measures, facilitating the translation from strategies to actual plans, thus benefitting green infrastructure implementation in the public realm.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Wos 000982199900001 Publication Date 2023-04-11
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1618-8667 ISBN Additional Links UA library record; WoS full record; WoS citing articles
Impact Factor Times cited Open Access
Notes Approved no
Call Number UA @ admin @ c:irua:196748 Serial 9235
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Author Van Oijstaeijen, W.; Van Passel, S.; Back, P.; Cools, J.
Title The politics of green infrastructure : a discrete choice experiment with Flemish local decision-makers Type Administrative Services
Year (down) 2022 Publication Ecological Economics Abbreviated Journal Ecol Econ
Volume 199 Issue Pages 107493-18
Keywords Administrative Services; A1 Journal article; Economics; Engineering Management (ENM)
Abstract Being confronted with increasing and expanding urbanisation and the loss of natural green spaces, our living environment is threatened more and more by the effects of global climate change. Green infrastructure is often thought of as the solution to increase climate resilience and reinforce the quality of the lived environment simultaneously. While the benefits, or ecosystem services, that are generated through green infrastructure have been studied intensively, forces that influence green infrastructure decision-making have been far less subjected to thorough research. In this study a discrete choice experiment was conducted with local decision makers in Flemish municipalities to reveal crucial factors in the decision process applied to green infrastructure projects. Flanders is one of the most densely built regions in Europe, stressing the urgency to understand local spatial decision factors to guarantee green space. 568 decision makers active in the local administration of 235 Flemish municipalities participated in the experiment, set in a hypothetical neighbourhood park. Every choice alternative exists of five attributes: investment cost, maintenance cost, deferred investment, recreational value, and climate impact. We find that barriers hampering Flemish munipalities' GI implementation, differ over size of the municipality: smallers municipalities are more affected by knowledge gaps, while larger municipalities are experiencing prioritization issues. Results from hierarchical Bayes choice models indicate that municipal decisions on green infrastructure are highly – almost solely -cost-driven, rarely consider the full range of benefits, and centre around short-term and immediate arguments. Moreover, interaction models reveal that a municipalities' financial result is a key determinant of its willingness to invest in public greening and consider long term benefits, suggesting that GI is a luxury good. The results expose some of the heuristics in GI decision making and can be used to inform higher authorities on ways to overcome barriers towards informed decision-making and to facilitate GI investment.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Wos 000811715200008 Publication Date 2022-06-08
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0921-8009; 1873-6106 ISBN Additional Links UA library record; WoS full record; WoS citing articles
Impact Factor 7 Times cited Open Access OpenAccess
Notes Approved Most recent IF: 7
Call Number UA @ admin @ c:irua:189018 Serial 7371
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