. . "5.0" . "140.0" . "10.0" . . . . . . "blended" . . . . . . . . . . . . . . . . "Basic statistical analyses, Spatial statistics"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "3.0" . "3.0" . "Understanding urban dynamics and urban growth is crucial for strategic long-term planning of infrastructure, economic development, environmental sustainability, social equity and overall urban resilience. At its core, the interaction between land use and transportation plays a pivotal role in shaping urban dynamics, and such interactions and dynamics can be most efficiently understood by modelling.\nModelling urban dynamics and growth involves the use of various theoretical frameworks that captures transportation infrastructure affects land use patterns and vice versa. In this course, the students will not only be introduced with theories about land use and transportation interactions, but also knowledges and techniques of implementing models that encodes the interactions quantitatively. Several modelling frameworks (to be specified) will be introduced to simulate travel decisions and behaviours, mobility and accessibility, land use land cover changes. On top of developing the modelling capacity, the students will also be trained to assess and interpret the modelled scenarios, so that to link the modelling into the practical context of urban planning and policy making."@en . "Urban Futures Modelling"@en . . "Urban Futures Modelling"@en . "Urban Futures Modelling"@en . . "5.0" . "140.0" . "10.0" . . . . . . "F2F" . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "6.0" . "3.0" . "Both hazard types and frequency, as well as built-up areas and cities are dynamically changing, resulting from climate and global changes. In April 2024, displacing 600.000 people in Brazil due to floods, having hottest day records already in Europe and in Asia are clear examples to the shifting hazard patterns. In such dynamic environments, the interdependency among the risk components amplifies the impact of disasters. In such an environment, disaster risk is constantly changing, and there is a definite limit to our capacity to foresee the failures resulting from unexpected interactions between interdependent components. Indeed, the intensity and extent of the challenges make clear that achieving resilient cities is everybody’s business. Scientists, stakeholders and citizens are faced with the challenge to adapt their disaster risk reduction plans but lack the understanding and tools to account for the cross-sectoral impacts and dynamic nature of the risks involved. In this course, we follow the socio-technical approach in complex city systems and investigate the ways to contribute to cities’ resilience. The main problem in disaster risk management is providing static measures to a dynamically changing system. In this course you will learn looking at the nature of risk as a 'dynamic' concept rather than a static one. You will focus on multi-hazard risk assessment and dynamic risk reduction measures on various sectors."@en . "Planning for Resilient Cities"@en . . "Planning for Resilient Cities"@en . "Planning for Resilient Cities"@en . . "5.0" . "140.0" . "10.0" . . . . . . . . . . . . . . . . . . . . . "previous ULF courses or similar knowledge and experiences"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "5.0" . "4.0" . "Addressing current and future societal challenges or urban areas around the world requires integrating thinking and insights where space, society and technology intersect. This new geo-socio-technical approach to of solving urban and land problem demands a new way of working and indeed re-conceiving of the tools and methods that inform our solutions to these challenges. Advancements in planning support and decision making technologies have enabled evidence-based scenario planning but failed in engaging a broad range of non-experts in future-oriented planning practice that accounts for deep uncertainty and complexity of societal challenges.\nIn this studio course, student groups engage in challenge-based learning of a real-world spatial problem setting. Geospatial and participatory technologies for systematic analysis of locational phenomena and spatial characteristics will be applied in combination with methods for eliciting local experiential knowledge of residents and other societal actors to disentangle wicked problem settings and underlying root causes and to develop visions of a sustainable urban and land future. Goal of studio-based learning approach is to provide a policy making authority with integrated insights and inspiration for new methods for producing sage, and to co-design together with them future-oriented strategies and interventions in an inclusive manner.\nIn this course students are exposed to various lab facilities of ITC and learn how to make use of them for data collection, stakeholder interaction and collaborative planning and decision making. "@en . "Urban and Land Futures Studio"@en . . "Urban and Land Futures Studio"@en . "Urban and Land Futures Studio"@en . . . . . . . "Final presentation"@en . "Planning for Resilient Cities: LU10"@en . . . . . . "Wrapping up the reflection"@en . "Urban and Land Futures Studio: LU10"@en . . . . . . "Assessing scenarios"@en . "Urban Futures Modelling: LU10"@en . . . . "MGEO 5.0 BoK"@en . . "reflection"@e