Space-Time Urban Resilience and Vulnerability for Smarter Cities
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Urban and Rural Development".
Deadline for manuscript submissions: closed (1 June 2023) | Viewed by 3127
Special Issue Editors
Interests: spatial analysis; urban modelling; urban geometry; social physics; smart city; urban resilience
Interests: digital smart cities; spatiotemporal intelligence; urbanization theory
2. The Alan Turing Institute, London, UK
Interests: spatial analysis; space syntax; urban design; geoAI; data science
Special Issue Information
Dear Colleagues,
Cities are now smarter than ever before due to the emerging urban data, science, and technologies. Given this, urban governance is gaining the character of high frequency with short-term responses, whist urban planning and design are conventionally low-frequency with long-term considerations. Cities are still seriously vulnerable to various tribulations, which need low-frequency prevention as well as high-frequency feedback for maintaining high levels of robustness. The synergy between high-frequency and low-frequency interventions facilitated by smart cities is therefore essential for urban evolutionary resilience. The focus of this Special Issue is on conceptualizing, monitoring, modelling and inventing spatio-temporal urban resilience for smart cities with newly emerging data, theory, methodology and technology with higher levels of spatiotemporal resolution.
The real built environment is an active, flow-based configuration functioning across years, months, weeks, days, hours and even seconds. It is not immutable as normally supposed in space and time dimensions. The resilience of urban (sub)systems is spatially and temporally evolutionary. The spatiotemporal non-stationarity of urban resilience emerges with complex dynamic interactions between systems, showing the nonlinearity that is over-simplified in previous research. Thus, urban resilience studies should consider more spatio-temporal realism in order to upgrade both spatial and temporal resolutions. The key elements leading to the dramatic growth of vulnerability should be specified within fewer, but precise space and time windows. These can be achieved by smarter cities where urban resilience is more effectively measured, quickly responded to, prevented early, and scientifically interpreted by incorporating higher- and lower-frequency interventions.
This Special Issue welcomes high-quality research about analysing, modelling, interpreting, and planning cities with higher levels of spatio-temporal urban resilience. It covers but is not limited to the following topics:
- Measuring urban resilience with finer spatio-temporal resolution;
- Measuring the resilience of multiplex urban network systems;
- Simulation of the evolutionary resilience;
- Urban resilience within the new data environment;
- Urban resilience as the dynamic interaction between multiple (sub)systems;
- Urban resilience and smart cities;
- Mobility, flow, and transport resilience;
- Urban planning and design for resilient cities;
- Machine learning for resilient cities;
- High-frequency cities and their resilience;
- Urban complex network science;
- Urban morphology and spatial resilience.
Prof. Dr. Yao Shen
Dr. Liyan Xu
Dr. Stephen Law
Dr. Tao Yang
Guest Editors
Manuscript Submission Information
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Keywords
- resilience
- vulnerability
- smart city
- spatio-temporal dynamics
- high-frequency cities
- urban systems
