Challenges and Opportunities in Using Big Data for Urban Environment Management
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601).
Deadline for manuscript submissions: closed (27 March 2023) | Viewed by 2788
Special Issue Editors
Interests: data science and intelligent management; big data and artificial intelligence; climate change and sustainable development; e-commerce decision support system
Special Issue Information
Dear Colleagues,
More than half of the world's population lives in cities, providing these people with a stable environment. Urbanization has driven the development of regional economies, industrialization, culture, education, and medical care. However, it has also resulted in environmental pollution, traffic congestion, and public health problems. Human activities and economic development have led to increased emissions of greenhouse gases, leading to global warming and threatening human survival and economic development. Furthermore, short-term climate shocks, such as El Niño events, have led to inflation and amplified extreme weather events, bringing uncertainty to urban development. Therefore, the solution to urban economic development, infrastructure management, public health, environmental protection, risk prevention and control, and other issues faces huge uncertainties, challenging the decision-making ability of city managers. In recent years, with the rise of clean energy technologies, such as photovoltaics and wind energy, new energy vehicle technology, artificial intelligence technology, and Internet technology, new business models have emerged, resulting in the generation of a large amount of big data. The rise of big data technology provides new ideas for humans to solve the problem of the sustainable development of large cities. Therefore, this Special Issue invites colleagues to conduct extensive theoretical, empirical, and methodological research on the above issues and proposes a series of theoretical viewpoints, empirical inspiration, and new methods.
Dr. Ke Gong
Dr. Yuanxiang Dong
Guest Editors
Manuscript Submission Information
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Keywords
- big data
- urban
- sustainable development
- risks
- carbon abatement
- green economy
- artificial intelligence
- public health
- emergency management
- social governance
