Jürgen Hackl
Biographic Data
| ID | 7248362 |
|---|---|
| NAME | Jürgen Hackl |
| GIVEN NAMES | Jürgen |
| FAMILY NAME | Hackl |
| SIGNATURE | HACKL J |
| AFFILIATIONS | ETH Zurich |
| ORCID | 0000-0002-8849-5751 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Enhancing flood resilience of urban rail transit systems through recovery resource scheduling optimisation: A case study of London
As heavy rainfall increasingly disrupts services of urban rail transit systems (URTSs), enhancing their resilience to flood risks is crucial to sustaining reliable public transport , particularly amid growing climate challenges. To investigate the effectiveness of potential interventions for mitigating post-flood impacts on URTS operations, this research introduces a novel application of genetic algorithms to optimise recovery resource scheduling…
A Simulation and Visualization Environment for Spatiotemporal Disaster Risk Assessments of Network Infrastructures
Emerging methodologies for risk assessments of civil infrastructure networks require the coupling of several spatiotemporal models that need to be executed multiple times with varying parametrizations to account for model uncertainty and to investigate “what-if” scenarios. These requirements led to the development of a software environment to support the simulation process and the visual analysis of its results. The simulation engine component of…
No prominent works on this page.
A Simulation and Visualization Environment for Spatiotemporal Disaster Risk Assessments of Network Infrastructures
Emerging methodologies for risk assessments of civil infrastructure networks require the coupling of several spatiotemporal models that need to be executed multiple times with varying parametrizations to account for model uncertainty and to investigate “what-if” scenarios. These requirements led to the development of a software environment to support the simulation process and the visual analysis of its results. The simulation engine component of…
Enhancing flood resilience of urban rail transit systems through recovery resource scheduling optimisation: A case study of London
As heavy rainfall increasingly disrupts services of urban rail transit systems (URTSs), enhancing their resilience to flood risks is crucial to sustaining reliable public transport , particularly amid growing climate challenges. To investigate the effectiveness of potential interventions for mitigating post-flood impacts on URTS operations, this research introduces a novel application of genetic algorithms to optimise recovery resource scheduling…
Computer Science (2 works) · Engineering (2 works) · Transport engineering (2 works) · Aggregate (composite (1 works) · Archaeology (1 works) · Civil engineering (1 works) · Component (thermodynamics (1 works) · Computer network (1 works) · Data Management and Algorithms (1 works) · Data mining (1 works)