DATABASE OF THE LARGE URBAN REGIONS OF THE WORLD													
													
Abstract													
This database provides construction of Large Urban Regions (LUR) in the world. 
A Large Urban Region (LUR) can be defined as an aggregation of continuous statistical units around 
a core that are economically dependent on this core and linked to it by economic and social strong 
interdependences. The main purpose of this delineation is to make cities comparable on the national 
and world scales and to make comparative social-economic urban studies. Aggregating different municipal 
districts around a core city, we construct a single large urban region, which allows to include all the 
area of economic influence of a core into one statistical unit (see Rozenblat, 2020 or Rogov & Rozenblat, 
2020 for Russia). In doing so we use four principal urban concepts (Pumain et al., 1992): local administrative units 
(Municipality or localities: MUNI), morphological urban area (MUA), functional urban area (FUA) and conurbation 
that we call Large Urban Region (LUR). The LURs are the spatial extensions of influence of one or several FUAs or MUAs. 
MUAs and FUAs are defined by various national or international sources. We implemented LURs using criteria such as the 
population distribution among one or several MUAs or FUAs, road networks, access to an airport, distance from a core, 
presence of multinational firms. FUAs and MUAs perimeters, if they form a part of a LUR, belong to a unique LUR. 
In this database we provide the composition of the LURs in terms of local administrative units (MUNI), 
Morphological Urban Area (MUA), Functional Urban Area (FUA).													
													
Keywords													
Large Urban Regions, World, cities, statistical urban definition, comparative urban research													
													
Theme													
Urban studies, regional studies													
													
Language													
English, names of municipalities are also written in local language													
													
Spatial coverage													
WORLD													
													
Temporal coverage													
·       Time lapse: 2020													
·       Publication date: March 2020													
·       Latest update: March 2020													
													
Format name and version: Excel file, Version 1													
													
File's format: .xlsx													
													
Creation date: March 2020													
													
Dataset creator													
Celine Rozenblat, University of Lausanne: celine.rozenblat@unil.ch													
													
Name and function developed by the person responsible for the resource													
Celine Rozenblat, Professor University of Lausanne													
													
Responsible organization and person													
Celine Rozenblat, University of Lausanne: celine.rozenblat@unil.ch													
													
Repository location													
https://zenodo.org/ 													
													
Licence													
													
													
													
													
Use													
This content is under a Creative Commons License.													
													
You are free to													
- share – copy and redistribute the material in any medium or format													
- adapt – remix, transform, and build upon the material													
for any purpose, even commercially.													
													
Under the following terms :													
Attribution – you must give appropriate credit citing: ©Rozenblat - UNIL LUR _V1 2020													
Provide a link to the license and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use													
ShareAlike – if you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original													
													
Type of spatial representation													
Controlled list limited to the following values:													
·       text table (textTable): Text or tabular data													
													
Spatial resolution (scale or minimum cartographic unit)													
Communes, municipalities, localities which we all consider as municipalities.													
													
Geographic extension													
1'692 largest LURs of the world													
													
Reference system													
None													
													
Sources													
Rozenblat C. (2020). EXTENDING THE CONCEPT OF CITY FOR THE DELINEATION OF LARGE URBAN REGIONS (LUR) FOR THE CITIES OF THE WORLD, CYBERGEO													
Rogov M., Rozenblat C. (2020). Globalization of Russian Cities: Towards a Construction of Large Urban Regions, Preprint													
													
Acknowledgements													
Mikhail Rogov who defined the LURs for Russia (2019-2020)													
Elfie Swerts who defined the LURs for China and India (2015-2018)													
Antoine Bellwald who defined the LURs for many parts of the World, especially for Europe (2013-2016)													
Didier Peters who defined the MUAs and FUAs for ESPON countries (2010-2012)													
													
Database management													
Celine Rozenblat (2010-2013)													
Faraz Zaidi (2013-2014) 													
Wissem Allouchi (2017)													
Dhekra Bouziri (2017-2018)													
Mariem Belhaj Ali (2018-2020)													
Rita Abi Akl (2020)													
Mehdi Bida (2017-2020)