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Spatiotemporal patterns of urbanization in three Swiss urban agglomerations: insights from landscape metrics, growth modes and fractal analysis

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Abstract

Context

Urbanization is the most important form of landscape change and is increasingly affecting biodiversity and ecosystem functions. Understanding how landscape patterns change in space and time is central to the evaluation of the environmental impacts of urbanization.

Objectives

This research explores the spatiotemporal patterns of land use change in the Swiss urban agglomerations of Bern, Lausanne and Zurich at two characteristic spatial extents, and compares them to prominent hypotheses of urbanization patterns.

Methods

For each urban agglomeration, four temporal snapshots from 1980 to 2016 have been derived from the land use inventory of the Swiss Federal Statistical Office. Fractal analysis of the area–radius relationship of urban land is used to separate each agglomeration into two characteristic spatial extents according to the distance of the city center, namely the inner and outer zones. The landscape metrics and growth modes are then computed at such extents.

Results

The time series of landscape metrics and growth modes reveal fairly different patterns when computed in the inner and outer zones respectively. Bern and Lausanne exhibit mostly traits of coalescence stages at the inner zone while displaying many characteristics of diffusion in the outer zone. In contrast, the trends of observed in the inner and outer zones of Zurich are both reminiscent of a coalescence stages.

Conclusions

Fractal analysis can be a useful approach to detect characteristic extents of urban agglomerations at which distinct spatiotemporal patterns might be observed. Current models of urbanization patterns should incorporate the notion of characteristic extents more explicitly.

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Fig. 1

Data from the Urban Audit collection (SFSO 2018)

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Notes

  1. The exact dates of each surveying period 1979/85, 1992/97, 2004/09 and 2013/18 are determined according to the production process of the national maps and vary accross the Swiss territory (SFSO 2017).

  2. See https://github.com/cjekel/piecewise_linear_fit_py.

  3. The LEI definition of (2) is taken from Nong et al. (2018) and is equivalent to the initial formula proposed by Liu et al. (2010).

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Acknowledgements

This research has been supported by the École Polytechnique Fédérale de Lausanne (EPFL).

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Authors and Affiliations

  1. Urban and Regional Planning Community (CEAT), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

    Martí Bosch, Rémi Jaligot & Jérôme Chenal

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  1. Martí Bosch
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  2. Rémi Jaligot
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  3. Jérôme Chenal
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Correspondence to Martí Bosch.

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Bosch, M., Jaligot, R. & Chenal, J. Spatiotemporal patterns of urbanization in three Swiss urban agglomerations: insights from landscape metrics, growth modes and fractal analysis. Landscape Ecol 35, 879–891 (2020). https://doi.org/10.1007/s10980-020-00985-y

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