This groundbreaking book delves deep into the history of AI, the major techniques and algorithms of machine learning and deep learning, and the critical role of data sources and processing in these disciplines. It covers a range of AI applications in human geography, including population distribution, land use, environmental risk assessment, and socioeconomic analysis. In urban planning, the book explores AI-driven approaches to smart cities, transportation management, urban growth prediction, and sustainable development, among others.

As AI continues to permeate every aspect of human life, it is essential to understand and address the ethical considerations and challenges associated with AI-driven planning. This book tackles crucial issues such as data privacy, algorithmic bias, equitable access to technology, and the future of employment in the fields of geography and urban planning. In addition, it presents inspiring case studies, highlighting successful AI applications in human geography and urban planning, and offers insights into future research directions and challenges.

This book is a must-read for students, researchers, and professionals in geography, urban planning, environmental studies, and related fields. It is also an invaluable resource for policymakers and urban planners seeking to leverage the power of AI to create smarter, more sustainable, and equitable cities and communities. This book equips you with the knowledge and tools to harness the potential of AI, leading the way to a better understanding of our world and a brighter future for all.

Provides a thorough examination of the latest AI technologies and applications in human geography and urban planning Bridges the gap between AI and disciplines such as geography, urban planning, and environmental studies Empowers readers to anticipate and adapt to the evolving landscape of AI-driven geographies and urban planning

Autorentext

Seyed Navid Mashhadi Moghaddam is an accomplished urban planner with over thirteen years of experience in the field. He is currently pursuing his second PhD in Human Geography at the University of Ottawa, building on his extensive knowledge and experience in urban planning, land use regulations, public participation, and policy development. Navid has also developed expertise in various disciplines such as EIA, transportation modeling, GIS modeling, DSS techniques, and entrepreneurial city planning. Huhua Cao is professor of geography at the University of Ottawa. He has been involved in extensive research projects and international cooperation projects in Canada, Asia, Eastern Europe and Africa. In recent years, his research has focused on urbanization and mobility, regional ethnic minorities, inequality and accessibility of social services. He is the author or editor of several books, including Regional Minorities and Development inAsia (Routledge, 2010).

Inhalt

Introduction.- Artificial intelligence.- Data Sources and Processing.- Population distribution and migration patterns.- Land use and land cover change detection.- Environmental risk assessment and climate change impacts.- Socioeconomic inequality and spatial analysis.- Health and disease mapping.- Smart cities and IoT integration.- Transportation and traffic management.- Urban growth and sprawl prediction.- Housing, affordability, and real estate market analysis.- Sustainable development and resource management.- Ethical Considerations and Challenges.- Conclusion and Future Prospects.