Building safer and more resilient cities in China: A novel approach using a dynamic nonhomogeneous Gray model for data-driven decision-making

Urban resilience is crucial for sustainable development and resident safety in a changing environment with potential risks. Given China’s rapid urbanization, constructing resilient cities that anticipate risks, mitigate disaster impacts, and swiftly recover from crises is paramount. This study explo...

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Bibliographic Details
Published in:	PloS one 2024-12, Vol.19 (12), p.e0310554
Main Authors:	Liu, Jian, He, Ye, Feng, Rui, Lyu, Bin
Format:	Article
Language:	English
Subjects:	Accident prediction Accident prevention Accidents Accidents, Traffic - mortality Accidents, Traffic - prevention & control Accidents, Traffic - statistics & numerical data Accuracy Adaptability Changing environments China Cities City Planning - methods Computer and Information Sciences Construction Construction accidents & safety Construction industry Data Data points Datasets Death & dying Decision Making Disaster management Earth Sciences Emergency preparedness Engineering and Technology Environmental changes Errors Evaluation Fatalities Humans Medicine and Health Sciences Metabolism Methods Models, Theoretical Parameter estimation Physical Sciences Policy making Prediction models Real time Research and Analysis Methods Resilience Resource allocation Robustness Safety Safety and security measures Social Sciences Sustainable Development Sustainable urban development System theory Time series Traffic Traffic accidents Traffic accidents & safety Traffic safety Urban areas Urban development Urban planning Urbanization
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