Digital Engineering for Resilient Cities: Planning for Climate Change

Non-resilient companies are missing out on $1.6T potential revenue growth opportunity each year globally, making resilience a business priority that supports predictability, fewer overruns and faster recovery.  

Digital engineering for resilient cities integrates connected data, simulation and automation to improve decisions and efficiency at every stage of development. These tools enable smarter climate adaptation planning and more sustainable project outcomes.  

Why urban resilience requires a digital engineering approach 

Evidence shows that digital maturity delivers measurable gains. Resilient firms achieve 3.6% higher revenue growth, while digitalization improves productivity by 62% and profitability by 60%. 

Outdated workflows often lead to rework, delayed approvals, and uncertainty in urban development. Digital engineering addresses these issues by integrating data, simulation, and automation to support more accurate decisions. 

As Ryan Colker, Executive Director of the Alliance for National & Community Resilience (ANCR) and Vice President of Innovation at the International Code Council, explains: 

Affordability and energy use are not opposing challenges. We’re seeing new pathways that enhance affordability and reduce energy consumption.

Ryan Colker International Code Council, 2024

Those pathways are exactly what digital engineering enables  -  bringing affordability, efficiency, and environmental performance together to strengthen the resilience of cities. 

This integrated approach enhances early accuracy, strengthens risk planning, and builds the flexibility required for resilient and sustainable urban systems. 

Outdated workflows often lead to rework, delay approvals, and introduce uncertainty into urban development. Digital engineering addresses these issues by integrating data, simulation, and automation to support more accurate decisions.  

This enhances early accuracy, strengthens risk planning, and builds the flexibility required for resilient and sustainable urban systems. 

Core capabilities that strengthen city resilience 

Risk modeling and hazard simulation 

Digital engineering tools now allow cities to model environmental risks in depth, from flooding and extreme heat to air quality and storm impact. These insights enable planners to focus on the most vulnerable areas, allocate resources effectively, and enhance long-term planning. 

The result is greater financial control, reduced emergency costs, and stronger eligibility for resilience funding. 

Digital twins for operations and adaptation 

A city digital twin connects live data from sensors, assets, and models to create a unified operational view. This integration supports predictive maintenance and continuity planning. By anticipating incidents and adapting systems in real-time, cities reduce lifecycle costs and respond to disruptions more effectively. 

BIM and asset data for infrastructure programs 

Building Information Modeling (BIM) for infrastructure provides a shared, structured dataset across capital delivery and ongoing operations. When teams work from structured asset data, design accuracy improves and unnecessary material use declines. 

This means projects stay on track with greater cost predictability and fewer last-minute corrections. 

Digital resilience starts with connected data. At ARKANCE, we’re not just enabling technology - we’re shaping a future where infrastructure projects flow seamlessly from design to operation, unlocking real-time insights and predictive power. Together with our partners, we’re building smarter, stronger cities. 

Lieve Dedecker, Head of Product Managent ARKANCE

Common data environment (CDE) and governance 

A CDE creates a single, auditable source of truth that connects owners, integrators, and suppliers. Standardized data exchange improves collaboration and supports ISO 19650 alignment. This structured governance limits rework, reduces disputes, and reinforces compliance across multi-stakeholder projects. 

AI-enabled forecasting and resource optimization 

As 56% of firms approach their AI goals, predictive analytics is becoming integral to how cities plan and manage resources. Machine learning enhances forecasting across demand, material use, and potential service disruptions,  enabling more informed, proactive decision-making.enabling more informed and timely decisions. 

This forward-looking approach supports proactive scheduling, reduces disruption, and delivers measurable returns from digital investment.  

At ARKANCE, innovation is grounded in collaboration. Through initiatives like our Early Adopter Program for Be.Smart Resource Management, we work directly with customers to test and refine AI-enabled workflows that optimize labor, equipment, and material utilization across complex infrastructure programs. 

These pilots allow participants to co-develop next-generation resource forecasting tools, accelerating adoption while ensuring solutions are tailored to real project conditions. It’s a practical demonstration of how ARKANCE’s innovation approach turns emerging technology into actionable resilience for cities and construction firms alike. 

 

Our AI driven approach transforms historical budgets and field data into predictive power - anticipating costs, uncovering risks, and guiding smarter decisions to keep projects efficient and on track. Unlike generic AI models, your data is never used to train competitors’ systems. It stays yours - secure, governed, and protected - because true innovation is built on trust.

Chris Dheere, VP Product Management ARKANCE

Creating a consistent flow of data from design through operations strengthens accountability for Net Zero and climate reporting. When models, metadata, and workflows align with ISO 19650 and local mandates, cities can track performance across entire asset portfolios. 

This approach makes it easier to measure carbon, energy, and resilience indicators, while maintaining transparency. Reliable data governance supports audit-ready reporting, lowers regulatory risk, and demonstrates credible progress toward sustainability commitments. 

Business outcomes: From risk reduction to ROI 

Sustainability and resilience now define long-term competitiveness. Over the next four decades, global construction is expected to expand by more than 2.5 trillion square feet, amplifying both environmental and financial pressures across the sector.  

These conditions demand smarter investment and greater efficiency to maintain profitability and meet regulatory expectations. 

Digital engineering provides the foundation for that stability. Integrated data and predictive modelling reduce uncertainty and improve coordination. With better visibility from design through operations, projects achieve stronger cost control and more consistent performance across their lifecycle. 

Organizations that embed resilience into daily decision-making can adapt faster to market shifts. This adaptability builds confidence among stakeholders and investors, turning sustainability into a measurable business advantage. 

Barriers and how to move forward 

Data quality, limited skills, and resistance to change can slow progress toward digital resilience. Upfront costs may also deter investment, particularly when the return is not immediately visible.  

Overcoming these barriers begins with an outcome-driven approach. For instance, establishing governance standards, training core teams, and introducing changes in phases help maintain momentum and reduce disruption. 

A structured roadmap connects each stage to measurable business goals. Each phase should strengthen data reliability, improve interoperability, and enhance decision-making over time. 

At ARKANCE, we help firms move from planning to tangible progress through advisory services, integrated technology solutions, and tailored training that reduce risk and accelerate value creation. 

Trends that elevate urban resilience 

Digital innovation is advancing how cities plan and operate under increasing climate pressures, supporting adaptive and resilient infrastructure strategies.  

Advances in physics-informed machine learning are enhancing simulation accuracy, thereby increasing decision-makers' confidence in predictive modelling and scenario testing.  

At the same time, cloud infrastructure and high-performance computing (HPC) enable the scaling of complex models without requiring significant upfront investment. 

Automation is also streamlining climate reporting and asset monitoring, freeing teams to focus on long-term resilience strategies. Collectively, these developments support faster approvals and greater access to resilience-focused funding opportunities. 

As the World Green Building Council (WGBC) emphasizes in its 2025 Resilience Position Paper: 

“Climate change is not just an environmental challenge -  it’s a societal and economic one as well. This report sets out a clear strategy for building resilience into our cities and communities.” 

As a strategic partner with the WGBC ARKANCE participated in these WorldGBC workshops, contributing insights on how digital engineering and connected data can turn that strategy into measurable progress - helping cities and infrastructure providers embed sustainability and resilience into every phase of development. 

Partner with ARKANCE to build resilient cities 

Through expert consultation, integration services, and ongoing training, ARKANCE helps organizations turn digital engineering into a practical advantage. Firms that align technology with their sustainability and resilience goals achieve more efficient asset performance. 

Beyond short-term gains, this approach builds long-term adaptability - equipping cities and businesses to stay ahead of climate, regulatory, and market pressures.

Speak to one of our professional services experts to explore how ARKANCE can strengthen your strategy and accelerate meaningful progress. 

FAQs

Do we need perfect data to start?

No, perfect data isn’t required to begin. Many organizations start small, focusing on a high-impact use case and improving data quality as projects evolve. 

How does digital engineering support climate adaptation planning?

Digital engineering connects design, asset, and environmental data to model future risks and test mitigation strategies. It enables cities to evaluate options, prioritize investments, and strengthen long-term resilience through evidence-based decision-making. 

How does digital engineering reduce lifecycle costs?

Digital engineering helps teams make smarter decisions throughout a project’s life. With accurate data, coordinated workflows, and predictive maintenance insights, it limits rework, prevents costly setbacks, and keeps assets performing well for longer. 

About ARKANCE 

ARKANCE is the world’s largest global Platinum Partner for Autodesk, with the largest pool of engineering, consulting, and development experts dedicated to supporting AEC and manufacturing companies in their digital transformation. With 1,200+ professionals in 19 countries, we deliver technology, expertise, and guidance built on deep industry knowledge. ARKANCE is part of Monnoyeur, a century-strong leader in industrial transformation. 

www.arkance.world