Integrated Digital Cost Modelling and BIM-Based Tendering for Sustainable Construction in Developing Economies

Project Abstract

This study presents an integrated digital cost modelling framework combined with Building Information Modeling (BIM)-based tendering to enhance sustainable construction practices in developing economies. The research addresses the fragmented cost estimation processes, limited data availability, and inefficiencies in tendering that hinder cost optimization, risk management, and lifecycle sustainability. A mixed-methods approach is employed, drawing on quantitative data from case studies of ongoing public and private sector projects, supplemented by qualitative insights from stakeholders across the supply chain, including contractors, quantity surveyors, project managers, and government agencies. The core of the framework fuses a parametric cost-modelling engine with a BIM-enabled information architecture to deliver dynamic, auditable cost forecasts that reflect design iterations, material supply volatility, labor productivity, and environmental externalities. Key components include (i) a data-agnostic cost library that accommodates local price indices, currency fluctuations, and inflation trends; (ii) a probabilistic risk assessment module leveraging Monte Carlo simulations to quantify financial exposure to scope changes, design discrepancies, and market shocks; (iii) a sustainability ledger that monetizes life-cycle costs and embodied carbon using region-specific benchmarks; and (iv) a BIM-based tendering workflow that automates quantity take-offs, supplier prequalification, and transparent bid comparison anchored in digital contracts and performance-based specifications. The methodology encompasses the development of a reference architectural, structural, and MEP model set for a representative infrastructure and building portfolio typical of developing economies, integrated with a cost database and sustainability rules. The framework is validated through comparative analyses against conventional estimating methods and BIM-enabled tendering processes across multiple projects, measuring accuracy, schedule adherence, total cost of ownership, and ecological impact. Findings indicate that the integrated approach reduces estimation error margins by a substantial margin, accelerates procurement cycles, and improves bid competitiveness through standardized, transparent tendering criteria. The research demonstrates how digital cost modelling can adapt to data scarcity via transfer learning from regional datasets, while BIM-based tendering enhances collaboration, reduces change orders, and supports compliance with national sustainability targets. Sensitivity analyses reveal critical parameters driving cost variance, such as material price volatility and design-geometry changes, underscoring the need for robust risk provisioning and agile procurement strategies. The study also discusses governance, data security, and capacity-building requirements necessary for successful adoption in developing economies, including policy alignment, training curricula for professionals, and scalable implementation roadmaps. The implications extend to policy-makers seeking evidence-based budgeting tools, developers aiming for lifecycle performance, and professionals aiming to elevate the maturity of cost management practices. Overall, the integrated framework offers a pragmatic path toward achieving economically viable, environmentally responsible, and socially inclusive construction outcomes in resource-constrained contexts.

Project Overview

What This Project Is About

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A plain-language overview of the topic and what the project investigates.

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The Problem It Addresses

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What problem or gap this project tackles and why it matters to the field or society.

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Objectives of the Project

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1. Objectively define cost modelling and tendering processes used in construction.
2. Explore how digital tools can improve accuracy and speed in cost estimates.
3. Investigate the role of Building Information Modelling (BIM) in tendering and procurement.
4. Propose a framework for integrating cost models with BIM for sustainable outcomes.
5. Assess potential benefits and challenges in developing economies.

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What You Will Do Step by Step

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1. Review basic concepts of cost planning, cost estimation, and tendering.
2. Study BIM platforms and digital cost-modelling techniques in simple terms.
3. Collect case examples or data from local projects (where available).
4. Develop a simplified integrated workflow combining cost models with BIM data.
5. Test the workflow using hypothetical project scenarios to compare outcomes.
6. Evaluate accuracy, time savings, and sustainability considerations.

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Expected Outcome

A clear, user-friendly framework for combining digital cost modelling with BIM-based tendering, along with a demonstration case and practical guidelines for practitioners in developing economies.