Bottom‐up estimation of material stocks and flows in Toronto's road network-Reference-Cited by-同舟云学术

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Bottom‐up estimation of material stocks and flows in Toronto's road network

Published:2022-01-07 Issue:3 Volume:26 Page:875-890
ISSN:1088-1980
Container-title:Journal of Industrial Ecology
language:en
Short-container-title:J of Industrial Ecology

Author:

Kloostra Bradley¹^ORCID,Makarchuk Benjamin¹,Saxe Shoshanna¹^ORCID

Affiliation:

1. Department of Civil & Mineral Engineering University of Toronto Toronto Canada

Funder

Natural Sciences and Engineering Research Council of Canada

University of Toronto

Publisher

Wiley

Subject

General Social Sciences,General Environmental Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jiec.13229

Reference69 articles.

1. Capturing variability in material intensity of single-family dwellings: A case study of Toronto, Canada

2. Life cycle assessment of pavements: reviewing research challenges and opportunities

3. Dynamic material flow analysis for Norway's dwelling stock

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1. Development of a machine learning model to improve estimates of material stock and embodied emissions of roads;Cleaner Environmental Systems;2024-09

2. A Future Growth Model for Building More Housing and Infrastructure with Less Embodied Greenhouse Gas;Environmental Science & Technology;2024-06-13

3. A critical review of road network material stocks and flows: Current progress and what we can learn from it;Resources, Conservation and Recycling;2024-06

4. Built‐environment stocks in the context of a master‐planned city: A case study of Chandigarh, India;Journal of Industrial Ecology;2024-04-05

5. Mapping and modelling global mobility infrastructure stocks, material flows and their embodied greenhouse gas emissions;Journal of Cleaner Production;2024-01

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