Understanding complex urban systems [electronic resource] : multidisciplinary approaches to modeling / Christian Walloth, Jens Martin Gurr, J. Alexander Schmidt, editors.

Understanding complex urban systems [electronic resource] : multidisciplinary approaches to modeling / Christian Walloth, Jens Martin Gurr, J. Alexander Schmidt, editors.

9783319029962 electronic book
3319029967 electronic book
9783319029955
3319029959

Cham : Springer, 2014.

English

1 online resource.

10.1007/978-3-319-02996-2 doi

HT153

307.76015118

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.

Includes bibliographical references and index.

Access limited to authorized users.

Description based on print version record.

Springer complexity.
Understanding complex systems.

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