Interoperability and unclear business models are key barriers to urban digital twin adoption.

Why It Matters

Designers and engineers developing digital twin solutions must address the fundamental issues of how different data sources will integrate and what tangible benefits the twin will provide to stakeholders. Overlooking these aspects can lead to the creation of complex models that are difficult to deploy and ultimately fail to deliver on their potential.

Key Finding

The research found that making different data sources work together and proving the real-world usefulness and financial viability of urban digital twins are the biggest hurdles to their successful use.

Key Findings

• Interoperability issues, such as disparate semantic standards, are a major technical challenge.
• A lack of clear business models and practical value proposition hinders adoption.
• 14 technical and 9 non-technical challenges were identified and mapped to the digital twin lifecycle.

Research Evidence

Aim: What are the primary technical and non-technical challenges hindering the operationalization of urban digital twins, and how do they map to the digital twin lifecycle?

Method: Systematic Literature Review and Delphi Expert Survey

Procedure: A systematic review of existing literature was conducted to identify challenges. This was supplemented by a Delphi survey involving experts from academia, industry, and government to gather and refine insights on these challenges.

Sample Size: Not specified for the literature review; 24 experts participated in the Delphi survey.

Context: Urban digital twin development and implementation.

Design Principle

For complex digital models, prioritize interoperability and a demonstrable value proposition.

How to Apply

When proposing or developing an urban digital twin, conduct a thorough assessment of potential interoperability issues and develop a robust business case before proceeding with extensive development.

Limitations

The research corpus was initially small, and the Delphi method relies on expert consensus, which may not capture all perspectives.

Student Guide (IB Design Technology)

Simple Explanation: Building digital copies of cities is hard because getting all the different computer systems to talk to each other is tricky, and it's not always clear how they will make money or be useful.

Why This Matters: Understanding these challenges helps you design digital models that are more likely to be adopted and successful in real-world projects.

Critical Thinking: To what extent can the identified challenges be overcome through technological advancements versus requiring fundamental shifts in urban governance and economic structures?

IA-Ready Paragraph: The operationalization of urban digital twins faces significant challenges, primarily concerning data interoperability and the establishment of clear business models. Research indicates that disparate semantic standards impede seamless data integration, while a lack of defined practical value and viable economic strategies hinders widespread adoption and investment.

Project Tips

• When researching digital twins, look for studies that discuss data integration and practical applications.
• Consider how your proposed digital twin will connect with existing urban data systems.

How to Use in IA

• Use this research to justify the importance of addressing interoperability and business model development in your design project's evaluation criteria.

Examiner Tips

• Demonstrate an understanding of the practical barriers to implementing complex digital models, not just their theoretical capabilities.

Independent Variable: Challenges in urban digital twin operation (e.g., interoperability, business models).

Dependent Variable: Success and adoption of urban digital twins.

Controlled Variables: Urban context, lifecycle phase of the digital twin.

Strengths

• Combines systematic literature review with expert consensus building.
• Addresses both technical and non-technical aspects of digital twin challenges.

Critical Questions

• How can designers proactively address interoperability issues during the initial design phase?
• What methodologies can be employed to better define and validate the practical value of urban digital twins?

Extended Essay Application

• Investigate the feasibility of developing a prototype urban digital twin module that specifically addresses a key interoperability challenge, such as integrating real-time traffic data with building energy consumption data.

Source

Challenges of urban digital twins: A systematic review and a Delphi expert survey · Automation in Construction · 2023 · 10.1016/j.autcon.2022.104716