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Evaluating urban metabolism assessment methods and knowledge transfer between scientists and practitioners: A combined framework for supporting practice-relevant research

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  • Daniela Perrotti

Abstract

Recent years have seen a substantial growth in urban metabolism research, resulting from increasing scientific consensus that metabolic flow assessments can inform resource-efficient urban policy. However, only a few works report on retrospective evaluation of the relevance and impact of urban metabolism studies in urban planning. Practice-relevant urban metabolism research depends on the applicability of assessment methods as well as on the effectiveness of knowledge transfer between scientists and practitioners. This paper presents a retrospective evaluation of a collaborative urban metabolism project (EU-FP7 BRIDGE) conducted through empirical inquiry. The goal of the inquiry was to evaluate the applicability of the BRIDGE assessment method in urban planning and the effectiveness of the knowledge-transfer approach in one of the BRIDGE case-study cities (Helsinki, Finland) in a combined fashion. Through generalization of key findings on strengths and areas of improvement, a combined framework to evaluate both aspects in the design of urban metabolism projects is proposed. The framework aims at supporting scientists and practitioners in the development of collaborative research that can accommodate expectations as well as sustainability priorities and objectives of both parties.

Suggested Citation

  • Daniela Perrotti, 2019. "Evaluating urban metabolism assessment methods and knowledge transfer between scientists and practitioners: A combined framework for supporting practice-relevant research," Environment and Planning B, , vol. 46(8), pages 1458-1479, October.
    • Handle: RePEc:sae:envirb:v:46:y:2019:i:8:p:1458-1479
    DOI: 10.1177/2399808319832611
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    References listed on IDEAS

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    1. Juanjo Galan & Daniela Perrotti, 2019. "Incorporating Metabolic Thinking into Regional Planning: The Case of the Sierra Calderona Strategic Plan," Urban Planning, Cogitatio Press, vol. 4(1), pages 152-171.
    2. Xia, Linlin & Zhang, Yan & Sun, Xiaoxi & Li, Jinjian, 2017. "Analyzing the spatial pattern of carbon metabolism and its response to change of urban form," Ecological Modelling, Elsevier, vol. 355(C), pages 105-115.
    3. Christopher Kennedy & John Cuddihy & Joshua Engel‐Yan, 2007. "The Changing Metabolism of Cities," Journal of Industrial Ecology, Yale University, vol. 11(2), pages 43-59, April.
    4. Zina Mitraka & Emmanouil Diamantakis & Nektarios Chrysoulakis & Eduardo Anselmo Castro & Roberto San Jose & Ainhoa Gonzalez & Ivan Blecic, 2014. "Incorporating Bio-Physical Sciences into a Decision Support Tool for Sustainable Urban Planning," Sustainability, MDPI, vol. 6(11), pages 1-25, November.
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    Cited by:

    1. Daniel Otero Peña & Daniela Perrotti & Eugene Mohareb, 2022. "Advancing urban metabolism studies through GIS data: Resource flows, open space networks, and vulnerable communities in Mexico City," Journal of Industrial Ecology, Yale University, vol. 26(4), pages 1333-1349, August.
    2. Mohammad Taleghani & Azadeh Montazami & Daniela Perrotti, 2020. "Learning to Chill: The Role of Design Schools and Professional Training to Improve Urban Climate and Urban Metabolism," Energies, MDPI, vol. 13(9), pages 1-14, May.
    3. Liu, Ningyin & Zhang, Yan & Fath, Brian D., 2021. "The material metabolism characteristics and growth patterns of the central cities of China's Beijing-Tianjin-Hebei region," Ecological Modelling, Elsevier, vol. 448(C).
    4. Julie Marin & Luc Alaerts & Karel Van Acker, 2020. "A Materials Bank for Circular Leuven: How to Monitor ‘Messy’ Circular City Transition Projects," Sustainability, MDPI, vol. 12(24), pages 1-23, December.

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