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Machine learning‐based stocks and flows modeling of road infrastructure

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  • Babak Ebrahimi
  • Leonardo Rosado
  • Holger Wallbaum

Abstract

This paper introduces a new method to account for the stocks and flows of road infrastructure at the national level based on material flow accounting (MFA). The proposed method closes some of the current shortcomings in road infrastructures that were identified through MFA: (1) the insufficient implementation of prospective analysis, (2) heavy use of archetypes as a way to represent road infrastructure, (3) inadequate attention to the inclusion of dissipative flows, and (4) limited coverage of the uncertainties. The proposed dynamic bottom‐up MFA method was tested on the Norwegian road network to estimate and predict the material stocks and flows between 1980 and 2050. Here, a supervised machine learning model was introduced to estimate the road infrastructure instead of archetypical mapping of different roads. The dissipation of materials from the road infrastructure based on tire–pavement interaction was incorporated. Moreover, this study utilizes iterative classified and regression trees, lifetime distributions, randomized material intensities, and sensitivity analyses to quantify the uncertainties.

Suggested Citation

  • Babak Ebrahimi & Leonardo Rosado & Holger Wallbaum, 2022. "Machine learning‐based stocks and flows modeling of road infrastructure," Journal of Industrial Ecology, Yale University, vol. 26(1), pages 44-57, February.
    • Handle: RePEc:bla:inecol:v:26:y:2022:i:1:p:44-57
    DOI: 10.1111/jiec.13232
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    References listed on IDEAS

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    1. Helen A. Hamilton & Eva Brod & Ola S. Hanserud & Erik O. Gracey & Magnus I. Vestrum & Anne Bøen & Franciska S. Steinhoff & Daniel B. Müller & Helge Brattebø, 2016. "Investigating Cross-Sectoral Synergies through Integrated Aquaculture, Fisheries, and Agriculture Phosphorus Assessments: A Case Study of Norway," Journal of Industrial Ecology, Yale University, vol. 20(4), pages 867-881, August.
    2. Paul Gontia & Liane Thuvander & Babak Ebrahimi & Victor Vinas & Leonardo Rosado & Holger Wallbaum, 2019. "Spatial analysis of urban material stock with clustering algorithms: A Northern European case study," Journal of Industrial Ecology, Yale University, vol. 23(6), pages 1328-1343, December.
    3. Andreas Mayer & Willi Haas & Dominik Wiedenhofer & Fridolin Krausmann & Philip Nuss & Gian Andrea Blengini, 2019. "Measuring Progress towards a Circular Economy: A Monitoring Framework for Economy‐wide Material Loop Closing in the EU28," Journal of Industrial Ecology, Yale University, vol. 23(1), pages 62-76, February.
    4. Jukka Hoffrén & Jyrki Luukkanen & Jari Kaivo‐oja, 2000. "Decomposition Analysis of Finnish Material Flows: 1960–1996," Journal of Industrial Ecology, Yale University, vol. 4(4), pages 105-125, October.
    5. Jan Kovanda & Miroslav Havranek & Tomas Hak, 2007. "Calculation of the“Net Additions to Stock” Indicator for the Czech Republic Using a Direct Method," Journal of Industrial Ecology, Yale University, vol. 11(4), pages 140-154, October.
    6. Willi Haas & Fridolin Krausmann & Dominik Wiedenhofer & Markus Heinz, 2015. "How Circular is the Global Economy?: An Assessment of Material Flows, Waste Production, and Recycling in the European Union and the World in 2005," Journal of Industrial Ecology, Yale University, vol. 19(5), pages 765-777, October.
    7. Augiseau, Vincent & Barles, Sabine, 2017. "Studying construction materials flows and stock: A review," Resources, Conservation & Recycling, Elsevier, vol. 123(C), pages 153-164.
    8. Hiroki Tanikawa & Tomer Fishman & Keijiro Okuoka & Kenji Sugimoto, 2015. "The Weight of Society Over Time and Space: A Comprehensive Account of the Construction Material Stock of Japan, 1945–2010," Journal of Industrial Ecology, Yale University, vol. 19(5), pages 778-791, October.
    9. Dominik Wiedenhofer & Julia K. Steinberger & Nina Eisenmenger & Willi Haas, 2015. "Maintenance and Expansion: Modeling Material Stocks and Flows for Residential Buildings and Transportation Networks in the EU25," Journal of Industrial Ecology, Yale University, vol. 19(4), pages 538-551, August.
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