Large Scale Planning and Optimization for Urban Tunneling Works
- Oct 13, 2023
- 3 min read
Updated: 6 days ago
From Concept to Impact Assessment in a Unified Workflow
Planning tunnel alignments in dense urban environments is one of the most complex challenges in modern infrastructure design.
At the early stages of a project, engineers and planners must evaluate multiple competing factors: construction cost, alignment feasibility, station placement, temporary excavation requirements, and — critically — the potential impact on surrounding structures.
In practice, one of the most significant risks is the interaction between tunneling works and existing buildings. However, this aspect is often difficult to assess during the planning phase, due to the complexity of integrating geotechnical data, structural behavior, and urban infrastructure information into a single evaluation framework.
Today, advancements in digital tools and data availability have transformed this process.
Engineers can now combine geotechnical models, tunneling systems, and publicly available building and terrain data to perform large-scale planning and impact assessments much earlier in the project lifecycle. This enables faster, more informed decision-making while significantly reducing uncertainty and risk.
Figure 1: Large Scale Tunnelling Impact Assessment for entire subway alignment - DeepEX
A New Approach to Urban Tunnel Planning
Traditionally, large-scale tunnel planning relied on simplified assumptions and fragmented workflows. Cost estimation, structural impact, and alignment decisions were often treated separately, making it difficult to evaluate the full implications of a design choice.
A more integrated approach allows engineers to assess:
Tunnel alignment feasibility within real urban conditions
Construction and excavation costs across the entire project
The potential impact of tunneling and excavation on adjacent structures
Alternative scenarios for optimization and risk mitigation
By bringing all these elements together, engineers can move beyond preliminary assumptions and begin evaluating projects in a more realistic and data-driven way.
Figure 2: Effect of excavation works on adjacent structures - DeepEX
City-Scale Modeling and Impact Assessment with DeepEX
DeepEX 3D City Package enables engineers to generate and analyze large-scale tunneling projects within a unified environment.
By combining geotechnical models with real-world urban data, the software allows users to simulate entire tunnel alignments and evaluate both cost and impact in a single workflow.
This includes:
Importing building layouts and terrain data from public sources
Generating tunnel and excavation models along the alignment
Automatically estimating excavation and tunneling costs
Evaluating settlement and structural impact on adjacent buildings
Comparing alternative alignments and construction scenarios
This level of integration allows planners and engineers to identify critical zones, assess potential risks, and make informed decisions at an early stage — when changes are still feasible and cost-effective.
Figure 3: Simplified Tunnel Settlement and Impact Analysis on Adjacent Structure Imported from Google
From Planning to Decision-Making
One of the key advantages of this approach is the ability to visualize and quantify impact across the entire project.
Engineers can identify areas where:
Ground movements may affect sensitive structures
Construction costs increase due to soil conditions or geometry
Alternative alignments may reduce risk or cost
By combining cost estimation with impact analysis, decision-making becomes more transparent and data-driven.
Figure 4: Automatically Generated Shoring Scheme for Planning Level Analysis
Conclusion
Urban tunneling projects require a careful balance between feasibility, cost, and risk.
By integrating geotechnical analysis, urban data, and large-scale modeling into a single workflow, engineers can significantly improve the planning process. Instead of relying on simplified assumptions, they can evaluate real conditions, compare alternatives, and make better-informed decisions from the earliest stages of a project.
The result is a more efficient design process, reduced uncertainty, and improved outcomes for complex urban infrastructure projects.
