10 October 2016

Global Land Project 3rd Open Science Meeting

Coming soon - Global Land Project 3rd Open Science Meeting (GLPOSM16) at China National Convention Center, Beijing, China, 24-27 October 2016 https://lnkd.in/ed3zGBV

:::The impacts of strategic spatial planning on land change in European urban regions:::
Strategic spatial planning, territorial governance and land system change have been widely explored in the literature. However, little attention has been paid to the conceptual and practical linkage between these threeareas of inquiry. 

The main purpose of this study is to contribute to fill this gap. More specifically, it aims to scrutinise - how do strategic spatial plans affect land change in urban regions. The hypothesis of departure is that - governance arrangements, such as “coordination of policies”, “cooperation between regional actors” and “vision-building” - influence strategic spatial plans - from the designing phase to its practical implementation. 

The governance settings that take shape during strategic planning, will generate an impact on land use, for example, over new housing developments, the edification of an industrial site or the development of infrastructures. To describe these governance arrangements, a set of components, such as “coordination”, “agenda-framing”, “accountability” and “legitimacy” has been elaborated. 

These components will be operationalised through a set of indicators, such as “goal-alignment”, “strategic-cooperation”, “representability of interests” and “freedom of association”. The working hypothesis will be tested by taking 10 urban regions in western Europe as case studies. The primary data sources will be a documentary analysis of strategic plans and semi-structured interviews with regional actors and organisations. We are expecting to contribute to clarify, for example, how having a clear “leadership” at the regional level is reflected in strategic spatial plans and it impacts land change. These insights are crucial for effective land use modelling and scenario analysis.