Access the full text.
Sign up today, get DeepDyve free for 14 days.
Metropolitan regions in Europe experienced intense demographic change from accelerated population expansion sustained by high fertility and immigration to zero (or negative) growth and aging. Such transformations are particularly complex in Southern Europe and lead to a shift from the impressive urban growth driven by industrialization to a more recent de-concentration of inner cities and scattered metropolitan expansion. Based on long-term population data, the present study assumes that urban expansion and demographic trends in Southern Europe no longer follow sequential phases of growth and decline, being characterized by non-linear urban expansion and distinctive demographic trends. Such hypothesis was tested considering a complete urban cycle and the associated population trends over a sufficiently long time interval (1848–2011) in metropolitan Athens, Greece. Population increase was assessed through the analysis of long-term census data made available on a district scale. Such analysis provided information on the spatial distribution of resident population and allowed identification of multiple expansion waves only partly aligned with predictions of the urban cycle model. The complex interplay between long-term fertility-mortality dynamics and short-term migration trends in Athens justifies deviations from model’s predictions. A long-term analysis of population trends at local scale contributes to re-contextualize urban cycles within the (more general) debate on demographic transitions, evidencing together the multi-scalar influence of population dynamics on metropolitan expansion and the importance of a historical analysis of population growth from the beginning of the modern urban experience.
Applied Spatial Analysis and Policy – Springer Journals
Published: Sep 27, 2020
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.