This book demonstrates both successes and failures in attempts to get closer to the ideal of good urban governance in cities in North-America, Europe, and Asia. It presents a value menu and deliberately does not come up with "one best way" for improving urban governance. Good urban governance is presented as a balancing act, an interplay between government, business and civil society in which the core values need careful and timely attention. The authors address questions such as "What is deemed "good" in urban governance, and how is it being searched for?", and "What (re)configurations of interactions between government, private sector and civil society are evolving, and to what results?".

This book presents international experiences in urban network learning. It is vital for cities to learn as it is necessary to constantly adapt and improve public performance and address complex challenges in a constantly changing environment. It is therefore highly relevant to gain more insight into how cities can learn. Cities address problems and challenges in networks of co-operation between existing and new actors, such as state actors, market players and civil society. This book presents various learning environments and methods for urban network learning, and aims to learn from experiences across the globe. How does learning take place in these urban networks? What factors and situations help or hinder these learning practices? Can we move from intuition to a strategy to improve urban network learning?

This book presents international experiences in urban network learning. It is vital for cities to learn as it is necessary to constantly adapt and improve public performance and address complex challenges in a constantly changing environment. It is therefore highly relevant to gain more insight into how cities can learn. Cities address problems and challenges in networks of co-operation between existing and new actors, such as state actors, market players and civil society. This book presents various learning environments and methods for urban network learning, and aims to learn from experiences across the globe. How does learning take place in these urban networks? What factors and situations help or hinder these learning practices? Can we move from intuition to a strategy to improve urban network learning?