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Hosseinzadeh Moghaddam, M, 2025. An integrated model for sustainable construction logistics: synthesising eco-hauling with a big room-based collaborative approach. PhD, Nottingham Trent University.
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Abstract
The construction industry faces mounting pressure to decarbonise its logistics operations, particularly during the hauling phase, which remains a significant yet under-explored source of carbon emissions in practice and policy. While several assessment frameworks exist, few integrate real-time site constraints, collaborative decision-making, and dynamic optimisation.
This thesis responds to these challenges by developing the BASE model — an integrated, multi-layered approach combining Eco-hauling principles, the Big Room-based collaborative strategy, Discrete Event Simulation (DES) via AnyLogic, and optimisation using Stat-Ease’s Response Surface Methodology (RSM).
The BASE model novelly synthesises these elements to identify and eliminate operational bottlenecks, reduce idle time and fuel consumption, and foster coordinated, low-carbon decision-making. The study applies the model to three real-world construction case studies, where various hauling scenarios are tested and validated using empirical data and simulation outcomes. These case studies demonstrate how the model reduces CO₂ emissions, mitigates delays, and enhances decision-making quality across stakeholders.
Collaboration within the Big Room environment emerges as a catalyst for aligning fragmented goals, streamlining communication, and co-creating feasible low-carbon logistics strategies.
This study makes three key contributions: (1) It introduces a novel and validated decarbonisation model specifically targeting construction transportation bottlenecks; (2) It bridges critical gaps between high-level sustainability aims and operational research tools using a data-driven collaborative lens; and (3) It offers practical, evidence-based recommendations for contractors, researchers, and policymakers to implement sustainable, optimised logistics strategies.
The findings contribute to advancing net-zero construction ambitions and inform future research on collaborative, simulation-based emissions modelling
| Item Type: | Thesis |
|---|---|
| Creators: | Hosseinzadeh Moghaddam, M. |
| Contributors: | Name Role NTU ID ORCID |
| Date: | January 2025 |
| Rights: | The copyright in this work is held by the author. You may copy up to 5% of this work for private study, or personal, non-commercial research. Any re-use of the information contained within this document should be fully referenced, quoting the author, title, university, degree level and pagination. Queries or requests for any other use, or if a more substantial copy is required, should be directed to the author. |
| Divisions: | Schools > School of Architecture, Design and the Built Environment |
| Record created by: | Laura Borcherds |
| Date Added: | 08 Aug 2025 15:03 |
| Last Modified: | 08 Aug 2025 15:03 |
| URI: | https://irep.ntu.ac.uk/id/eprint/54152 |
https://orcid.org/0000-0001-5552-9428Actions (login required)
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