ENAC Seminar Series by Dr J. Tang
Event details
| Date | 03.02.2021 |
| Hour | 10:45 › 11:30 |
| Speaker | Dr Junqing Tang |
| Location |
Zoom
Online
|
| Category | Conferences - Seminars |
10:45 – 11:30 – Dr Junqing Tang
Postdoctoral Research Associate at University of Cambridge, UK
Evaluating resilience in urban transportation systems for sustainability: A systems-based Bayesian network model
We proposed a hierarchical Bayesian network model (BNM) to quantitatively evaluate the resilience of urban transportation systems. Based on the systemic thinking and sustainability perspective, we investigate the long-term resilience of the road transportation systems in four cities in China from 1998 to 2017, namely Beijing, Tianjin, Shanghai, and Chongqing, respectively. The model takes into account various factors collected from multi-source data platforms, involved in stages of design, construction, operation, management, and innovation in road transportation systems. We test the model with the forward inference, sensitivity analysis, and backward inference. The result shows that the overall resilience of all four cities' transportation systems is within a moderate range with values between 49% to 59%. Although they all have an ever-increasing economic level, Beijing and Tianjin demonstrate a clear “V” shape in the long-term transportation resilience, which indicates a strong multidimensional, dynamic, and non-linear characteristic in resilience-economic coupling effect. Additionally, the results obtained from the sensitivity analysis and backward inference suggest that decision makers should pay more attention to the capabilities of quickly rebuilding and making changes to cope with future disturbances. As an exploratory study, this study clarifies the concepts of long-term multi-dimensional resilience and specific hazard-related resilience and provides an effective decision-support tool for stakeholders when building resilient infrastructure.
Short bio:
Dr. Junqing Tang is a Postdoc Research Associate at the Centre for Smart Infrastructure and Construction at the University of Cambridge. He obtained his Dr. Sc. degree from the Department of Environmental Systems Science at ETH Zurich in 2019. He also holds an MSc. in Transport from Imperial College London & University College London, UK, and a First-Honour BEng. in Architectural Engineering from Cardiff University, UK. Junqing is a civil engineer by training, with a research interest in how resilience and sustainability can be effectively embedded and managed in urban critical infrastructure systems. He has a particular interest in quantifying and evaluating resilience through a systems-oriented perspective, and building decision-support tools for infrastructure adaptation and disruption management.
Postdoctoral Research Associate at University of Cambridge, UK
Evaluating resilience in urban transportation systems for sustainability: A systems-based Bayesian network model
We proposed a hierarchical Bayesian network model (BNM) to quantitatively evaluate the resilience of urban transportation systems. Based on the systemic thinking and sustainability perspective, we investigate the long-term resilience of the road transportation systems in four cities in China from 1998 to 2017, namely Beijing, Tianjin, Shanghai, and Chongqing, respectively. The model takes into account various factors collected from multi-source data platforms, involved in stages of design, construction, operation, management, and innovation in road transportation systems. We test the model with the forward inference, sensitivity analysis, and backward inference. The result shows that the overall resilience of all four cities' transportation systems is within a moderate range with values between 49% to 59%. Although they all have an ever-increasing economic level, Beijing and Tianjin demonstrate a clear “V” shape in the long-term transportation resilience, which indicates a strong multidimensional, dynamic, and non-linear characteristic in resilience-economic coupling effect. Additionally, the results obtained from the sensitivity analysis and backward inference suggest that decision makers should pay more attention to the capabilities of quickly rebuilding and making changes to cope with future disturbances. As an exploratory study, this study clarifies the concepts of long-term multi-dimensional resilience and specific hazard-related resilience and provides an effective decision-support tool for stakeholders when building resilient infrastructure.
Short bio:
Dr. Junqing Tang is a Postdoc Research Associate at the Centre for Smart Infrastructure and Construction at the University of Cambridge. He obtained his Dr. Sc. degree from the Department of Environmental Systems Science at ETH Zurich in 2019. He also holds an MSc. in Transport from Imperial College London & University College London, UK, and a First-Honour BEng. in Architectural Engineering from Cardiff University, UK. Junqing is a civil engineer by training, with a research interest in how resilience and sustainability can be effectively embedded and managed in urban critical infrastructure systems. He has a particular interest in quantifying and evaluating resilience through a systems-oriented perspective, and building decision-support tools for infrastructure adaptation and disruption management.
Practical information
- General public
- Invitation required
- This event is internal
Organizer
- ENAC
Contact
- Cristina Perez