Walloth, Christian, Gurr, Jens Martin, Schmidt, J. Alexander (Eds.)
2014, XI, 158 p. 36 illus.
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Provides insight into different approaches to understanding complex urban systems
The approaches presented in this book range from agent-based to narrative modeling, discussing emergence, disaster resilience, and unpredictability
Introduction to decision support methods based on statistical optimization and systemic approaches to designing the built environment
Understanding Complex Urban Systems takes as its point of departure the insight that the challenges of global urbanization and the complexity of urban systems cannot be understood – let alone ‘managed’ – by sectoral and disciplinary approaches alone. But while there has recently been significant progress in broadening and refining the methodologies for the quantitative modeling of complex urban systems, in deepening the theoretical understanding of cities as complex systems, or in illuminating the implications for urban planning, there is still a lack of well-founded conceptual thinking on the methodological foundations and the strategies of modeling urban complexity across the disciplines.
Bringing together experts from the fields of urban and spatial planning, ecology, urban geography, real estate analysis, organizational cybernetics, stochastic optimization, and literary studies, as well as specialists in various systems approaches and in transdisciplinary methodologies of urban analysis, the volume seeks to advance the discussion on multidisciplinary approaches to urban modeling. While engaging with the ‘state of the art’ in their respective fields, the contributions are specifically written for both experts from a broad range of disciplines as well as for urban practitioners who feel the need for new approaches given the uncertainty of current developments.
Content Level »Research
Keywords »Agent-Based Modeling - Complex Urban Systems - Complexity Representation - Complexity Transitions - Interventions in Complex Urban Systems - Multi-Method Modeling - Narrative Modeling - Operations - Optimization of Municipal - System Dynamics - Types of Urban Complexity