Fundamental diagram of urbanization (Record no. 11624)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02127nab a2200253 4500 |
| 005 - DATE & TIME | |
| control field | 20210412142749.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210412b ||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Carra, Giulia |
| 245 ## - TITLE STATEMENT | |
| Title | Fundamental diagram of urbanization |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc | Sage, |
| Date of publication, distribution, etc | 2019. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pages | Vol 46, Issue 4, 2019,(690-706 p.) |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | The process of urbanization is one of the most important phenomenon of our societies and it is only recently that the availability of massive amounts of geolocalized historical data allows us to address quantitatively some of its features. Here, we discuss how the number of buildings evolves with population and we show on different datasets (Chicago, 1930–2010; London, 1900–2015; New York City, 1790–2013; Paris, 1861–2011) that this ‘fundamental diagram’ evolves in a possibly universal way with three distinct phases. After an initial pre-urbanization phase, the first phase is a rapid growth of the number of buildings versus population. In a second regime, where residences are converted into another use (such as offices or stores for example), the population decreases while the number of buildings stays approximately constant. In another subsequent phase, the number of buildings and the population grow again and correspond to a re-densification of cities. We propose a stochastic model based on these simple mechanisms to reproduce the first two regimes and show that it is in excellent agreement with empirical observations. These results bring evidences for the possibility of constructing a minimal model that could serve as a tool for understanding quantitatively urbanization and the future evolution of cities. |
| 650 ## - Subject | |
| Subject | Statistical physics, |
| 650 ## - Subject | |
| Subject | urban change, |
| 650 ## - Subject | |
| Subject | city growth, |
| 650 ## - Subject | |
| Subject | urban modeling, |
| 650 ## - Subject | |
| Subject | urban data |
| 700 ## - Added Entry Personal Name | |
| Added Entry Personal Name | Barthelemy, Marc |
| 773 0# - HOST ITEM ENTRY | |
| Host Biblionumber | 11590 |
| Host Itemnumber | 15512 |
| Place, publisher, and date of publication | Sage 2019. |
| Title | Environment and Planning B: Urban Analytics and City Science |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1177/2399808317724445 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Articles |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| -- | 45769 |
| 650 ## - Subject | |
| -- | 45770 |
| 650 ## - Subject | |
| -- | 45771 |
| 650 ## - Subject | |
| -- | 45772 |
| 650 ## - Subject | |
| -- | 45773 |
| 650 ## - Subject | |
| -- | 45774 |
| 700 ## - Added Entry Personal Name | |
| -- | 45775 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| -- | ddc |
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