# Dutch Distribution Centres 2021 Geodata 

Geodataset including 26.951 logistics buildings in the Netherlands larger than 500 m2, built before november 2021, as well as the business estates they are in, and the East-Southeast freight corridor of the Netherlands - the busiest logistics area of the country. The definition of logistics is rather broad, including trade, import, export, transportation and warehousing. Additional buildings with retail centres on industrial sites, as well as buildings with logistics co-activity are included. Manufacturing and recycling facilities, which often include logistics activities, are not included unless a separate logistics company is located in the building.

The dataset contains a Geopackage with equivalents in ESRI shapefile format. The buildings layer with attributes is also provided as a Geojson file and CSV data table (without geometry). Besides this README file, a method describing the compilation of the data is provided (Pdf).
An earlier version of this dataset, covering only the area within the East-Southeast corridor, was released in 2021 (DOI:10.4121/14791686). The new dataset substitutes the former.

An interactive zoomable map with timeline slider is available on: http://mertennefs.eu/landscapes-of-trade/
Some interactive metrics, showing the extent and potential of the dataset, are shown in this RShiny app: https://mertennefs.shinyapps.io/distributioncentres_geodata_app/

## Collaboration
The data were gathered and compiled by Merten Nefs, in collaboration with Vrije Universiteit Amsterdam (Thomas Bonte and  Carlijn Ligterink) and the Deltametropolis Association based in Rotterdam (Vera Loefs and Ana Luisa Moura); with the help and data provision by Frank van Oort at Erasmus School of Economics (Rotterdam) and Henk van Amsterdam of PBL Netherlands Environmental Assessment Agency (The Hague). The data have been used for research, media articles and academic work such as the PhD research project Landscapes of Trade, by Merten Nefs, at TUDelft and Erasmus School of Economics. More information at www.landscapesoftrade.nl

## Disclaimer
The buildings were selected by and joined with employment data of Lisa 2020, and therefore reasons back in time from this point and assumes the same function as well for 2021. Discrepancies between earlier data (Lisa 2017) and 2020 can be viewed and filtered out via the 'Current' attribute below. Another important aspect is the overlap of logistics buildings over time: a small portion of these has replaced former buildings on the same site that have been demolished. Such 'brownfield' developments amount to ca. 10% of the dataset - as established by a test sample - whereas ca. 90% are 'greenfield' developments. More information on the data collection and compilation method is found in the accompanying pdf file.


## Licence
Creative Commons: CC BY-SA 4.0 (attribution + share alike)
DOI:10.4121/19361018
Cite as:
Nefs, Merten (2022): Dutch Distribution Centres 2021 Geodata. 4TU.ResearchData. Dataset. https://doi.org/10.4121/19361018

## Geopackage and ESRI Shapefile layers and attributes
distributioncenters2021_repo.gpkg
distributioncenters2021NL_repo_shapefiles.zip
projection = RD_new (EPSG:28992); the Geojson file is projected in WGS84 for web viewer purposes
* marked attributes in the author's original data, which can not be published due to proprietary data constraints pertaining to the Lisa data for individual enterprises.

### buildings2021NL (gpgk, shp, geojson, csv)
osm_id:      [Integer] building ID in OpenStreetMap
BAG_id:      [Integer] building ID in Basisregistraties Adressen en Gebouwen (BAG)
Constr_year: [Integer] construction year
Year_cat:    [Integer] decade of construction
Footprint:   [Integer] gross ground floor area (m2)
Size_cat:    [String] category of building size (used in webviewer)
Function:    [String] logistic sub category
Function_n:  [Integer] index corresponding with Function (used in webviewer)
jobs_ha:     [Integer] indication of jobs per floor area
Job_dens:    [Integer] categorization of jobs per floor area
Job_dens_n:  [Integer] index corresponding with Job_dens (used in webviewer)
*Jobs_ft_1:   [Integer] amount of fulltime jobs in Function 1
*Jobs_ft_2:   [Integer] amount of fulltime jobs in Function 2
*Jobs_ft_3:   [Integer] amount of fulltime jobs in Function 3
*Jobs_ft_ot:  [Integer] amount of fulltime jobs with no logistic function
*Jobs_ft_lo:  [Integer] amount of fulltime jobs with a logistic function
*Jobs_ft_to:  [Integer] total amount of fulltime jobs
*Jobs_1:      [Integer] amount of jobs in Function 1
*Jobs_2:      [Integer] amount of jobs in Function 2
*Jobs_3:      [Integer] amount of jobs in Function 3
*Jobs_other:  [Integer] amount of jobs with no logistic function
*Jobs_logis:  [Integer] amount of jobs with a logistic function
*Jobs_tot:    [Integer] total amount of jobs
*Lisa_entri:  [Integer] amount of LISA microdata points (sometimes more than one company per building)
*sbi08_2020:  [Integer] SBI08 code which describes the specific function of the building
*sbi02_main   [Integer] SBI02 code which describes the main function of the building
*Descriptio:  [String] description of specific activity in the building
*sbi02_2020:  [Integer] SBI02 code which describes all main functions of logistics companies in the building
*Jobs2017:    [Integer] amount of jobs in 2017 from LISA 2017
*sbi02_2017:  [Integer] SBI02 code from LISA 2017 which describes the function of the building
RIN:         [Integer] ID of Ibis business estate
Year:        [Integer] starting year of the business estate
Name:        [String] name of business estate in which building is located
Locality:    [String] locality (village, town or city)
Gross_ha:    [Integer] gross area of business estate (including public water and infrastructure areas)
Net_ha       [Integer] net area of business estate (area used by companies)
Max_cat:     [Integer] highest environment impact category of the estate
Rail_cat:    [String] category of rail accessibility
Water_cat:   [String] category of water accessibility
Muni_nr:     [Integer] municipality number
Municip:     [String] name of municipality
Prov_nr:     [Integer] province number
Province:    [String] name of province 
Corop_nr:    [Integer] number of Corop region
Corop:       [String] name of the Corop region
Corridor:    [Integer] Building is in the East-Southeast corridor (=1) or not (=0)
Current:     [Integer] Building has logistics jobs in 2020 (=1) or in 2017 while not in 2020 (=0)

#### Function legend:
1:    Trade, import/export (including e-commerce) 
2:    Transport and logistics services
3:    XXL retail centers (not e-commerce)
4:    Logistic co-activity (main function of building is other than logistics, e.g. a hospital, while more than a third of the total jobs in the building concerns logistics)

#### Job density legend:
99: no data
1:  1-20 jobs/ha   | very low
2:  20-40 jobs/ha  | low
3:  40-80 jobs/ha  | medium
4:  80-160 jobs/ha | high
5:  >160 jobs/ha   | very high

#### Size category legend:
S:   >500 m2 & <2500 m2
M:   2500 m2 - 10000 m2
L:   10000 m2 - 20000 m2
XL:  20000 m2 - 40000 m2
XXL: >40000 m2

### business estates containing logistics (gpkg, shp)
RIN:         [Integer] ID of business estate
Year_estat:  [Integer] starting year of the business estate
Name_estat:  [String] Name of Ibis business estate
Locality:    [String] Locality (village, town or city)
Gross_ha:    [Integer] gross area of business estate (including public water and infrastructure areas)
Net_ha       [Integer] net area of business estate (area used by companies)
Max_cat:     [Integer] highest environment impact category of the estate
Rail_cat:    [String] category of rail accessibility
Water_cat:   [String] category of water accessibility
Muni_nr:     [Integer] municipality number
Municip:     [String] name of municipality
Prov_nr:     [Integer] province number
Province:    [String] name of province 
Corop_nr:    [Integer] number of Corop region
Corop:       [String] name of the Corop region

### corridor (gpkg, shp)
Geometry of the research area of the East-Southeast corridor in the Netherlands, built up from buffers of 7.500m around the main infrastructure axes (water, rail, road).
Corridor:    [String] Name of corridor
Infra_buffer [Integer] Buffer distance 