Scaling Laws in City Growth: Setting Limitations with Self-Organizing Maps.
Where this comes from
- Record sourced from PubMed, PMID 28005994.
- Also identified by DOI 10.1371/journal.pone.0168753 and PMC identifier 5179107.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Do scaling relations always provide the means to anticipate the relationships between the size of cities, costs of maintenance, and the socio-economic benefits resulting from their growth? Scaling laws are considered a universal principle that describes the development of complex systems such as cities. It seems that regardless of their location or history, the growth of cities is associated with the super-linear or sublinear scaling of features such as the amount of space required, infrastructure, or human activities. However, the results of our research, based on grouping by Self-Organizing Maps, reveal some limitations in the application of scaling laws: the trends of urban growth behave in a different manner when we consider both a large and diverse collection of cities and a subset of cities alike. This finding complements the existing body of knowledge on the growth of cities and allows for a more accurate prediction of their future.
Medical subject headings
- Cities
- Geography
- Neural Networks, Computer
- Population Density
- Urban Population