Babak Ebrahimi
Biographic Data
| ID | 7514996 |
|---|---|
| NAME | Babak Ebrahimi |
| GIVEN NAMES | Babak |
| FAMILY NAME | Ebrahimi |
| SIGNATURE | EBRAHIMI B |
| AFFILIATIONS | Department of Architecture and Civil Engineering Chalmers University of Technology Gothenburg Sweden |
| ORCID | 0000-0002-3086-0816 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Machine learning‐based stocks and flows modeling of road infrastructure
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 o…
Spatial analysis of urban material stock with clustering algorithms
A large share of construction material stock (MS) accumulates in urban built environments. To attain a more sustainable use of resources, knowledge about the spatial distribution of urban MS is needed. In this article, an innovative spatial analysis approach to urban MS is proposed. Within this scope, MS indicators are defined at neighborhood level and clustered with k ‐mean algorithms. The MS is estimated bottom‐up with (a) material‐intensity co…
Combined use of GIS and experimental functions for the morphometric study of glacial cirques, Zardkuh Mountain, Iran
No prominent works on this page.
Combined use of GIS and experimental functions for the morphometric study of glacial cirques, Zardkuh Mountain, Iran
Spatial analysis of urban material stock with clustering algorithms
A large share of construction material stock (MS) accumulates in urban built environments. To attain a more sustainable use of resources, knowledge about the spatial distribution of urban MS is needed. In this article, an innovative spatial analysis approach to urban MS is proposed. Within this scope, MS indicators are defined at neighborhood level and clustered with k ‐mean algorithms. The MS is estimated bottom‐up with (a) material‐intensity co…
Machine learning‐based stocks and flows modeling of road infrastructure
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 o…
Engineering (2 works) · Environmental Impact and Sustainability (2 works) · Environmental Science (2 works) · Mathematics (2 works) · Agricultural economics (1 work) · Allometry (1 work) · Cirque (1 work) · Civil engineering (1 work) · Climate change and permafrost (1 work) · Cluster analysis (1 work)