Towards a New Urban Economics: Traditional Models, Complexity, Big Data and AI - Couverture rigide

Czamanski, Daniel

Couverture rigide

ISBN 10 : 1035387131 ISBN 13 : 9781035387137

Editeur : Edward Elgar Publishing Ltd, 2026

Synopsis

Daniel Czamanski analyzes the transition of urban economics from historical methods to contemporary inductive reasoning. Evaluating this change across the field’s early evolution to modern data-driven approaches, he builds on key concepts to explore complexity theory and artificial intelligence.

Outlining central topics, including land-use patterns, housing markets, transportation systems and environmental impact, Czamanski provides inductive responses which rely on empirical evidence as the basis for explaining urban growth. Moving past traditional, deductive-centric approaches, chapters emphasize the need to leverage advanced modeling techniques and data analysis to address complex challenges, such as spatial inequality and climate change. The book highlights the importance of understanding cities as nuanced, interconnected systems where macro patterns emerge from micro-level decisions, advocating for integrated and adaptable approaches to urban development and policymaking.

Towards a New Urban Economics is an essential resource for scholars and students of economics, finance and disruptive technologies. City planners and government regulators will similarly benefit from its actionable insights into the future of urban spaces.

A propos du livre

À propos de l'auteur

Daniel Czamanski, The Philip & Ethel Klutznick Center for Urban and Regional Studies, Technion, Israel Institute of Technology, Israel

Détails de l'édition

• Éditeur: Edward Elgar Publishing Ltd
• Date d'édition: 2026
• Langue: anglais
• ISBN 10: 1035387131
• ISBN 13: 9781035387137
• Reliure: Relié
• Nombre de pages: 328
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible