Developing a Model for Reducing Carbon Emissions of Construction Heavy Machinery Through ECO-Hauling and Collaboration

Milad Hosseinzadeh Moghaddam; Ehsan Asnaashari; Amrit Sagoo

doi:10.1007/978-981-96-4051-5_60

Conference paperChapter 60pp. 618 to 628

Developing a Model for Reducing Carbon Emissions of Construction Heavy Machinery Through ECO-Hauling and Collaboration

Milad Hosseinzadeh Moghaddam¹, Ehsan Asnaashari¹, Amrit Sagoo¹

Nottingham Trent University

Published in Proceedings of the International Conference on Smart and Sustainable Built Environment (SASBE 2024), edited by Ali GhaffarianHoseini, Amirhosein GhaffarianHoseini, Farzad Rahimian and Mahesh Babu Purushothaman. Springer Nature, Lecture Notes in Civil Engineering, volume 591, 2025, pages 618 to 628. DOI 10.1007/978-981-96-4051-5_60.

Read the full paper on Springer Nature All SASBE 2024 papers

Abstract

Incorporating Eco-hauling and the Big Room approach emerges as a viable strategy for curbing carbon emissions in the construction phase. Eco-hauling optimises heavy vehicle operations to reduce emissions and costs through strategic, tactical, and operational measures, emphasising fuel efficiency and sustainable practices. On the other hand, the Big Room approach, rooted in lean management principles, promotes collaborative decision-making, transparent communication, and shared goals among project stakeholders in the construction phase. Thus, synthesising Eco-hauling with the Big Room approach provides a collaborative environment that enables streamlining processes, anticipating constraints, resolving bottlenecks, and reducing idle and operation time, leading to lower emissions and environmental sustainability. A hauling operation within a road project was analysed via a case study method to explore the synthesise result. Discrete event simulation (DES) and AnyLogic software were employed to evaluate different scenarios, taking into account variables such as the number of dumper trucks, payload capacity, and speed. The primary objective was to assess the carbon emissions for each scenario. From an initial set of 30 scenarios, expanded to over 400, Stat-Ease software identified two scenarios with the lowest CO2 output, focusing on minimising the operation total time in one case and without considering the operation total time in the other. The outcomes contribute critical insights into sustainable logistics practices, offering pragmatic pathways for enhancing hauling operations and addressing environmental concerns in construction projects.

Keywords

Big Room approachCarbon emissionsEco-haulingHeavy MachinerySustainability

Session

Presented in Track I, Saturday 9 November 2024, 11:00 to 13:00, room WA 224 A, Auckland University of Technology. Session chair Dr Mathias Valenzuela.

How to Cite

Moghaddam, M. H., Asnaashari, E., & Sagoo, A. (2025). Developing a Model for Reducing Carbon Emissions of Construction Heavy Machinery Through ECO-Hauling and Collaboration. In A. GhaffarianHoseini, A. GhaffarianHoseini, F. Rahimian, & M. B. Purushothaman (Eds.), Proceedings of the International Conference on Smart and Sustainable Built Environment (SASBE 2024) (Lecture Notes in Civil Engineering, Vol. 591, pp. 618–628). Springer Nature Singapore. https://doi.org/10.1007/978-981-96-4051-5_60

About the Conference

Presented at SASBE 2024, the International Conference on Smart and Sustainable Built Environment, held in Auckland from 7 to 9 November 2024 and chaired by Professors Ali and Amirhosein GhaffarianHoseini, founders of GDI Academy. The version of record is published by Springer Nature; this page is the conference archive record kept by GDI Academy.