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Table 1 Brief description and statistics of the data sources used in this study

From: A data-driven analysis of the potential of public transport for German commuters using accessibility indicators

Data source

Description

Spatial unit

Statistics

BfA [2]

Matrix of count of commuters subject to social security contributions by place of residence and work (year: 2019)

County (n = 401)

Commuters count = 13.0 million

BfA [1]

Matrix of count of commuters subject to social security contributions by place of residence and work (year: 2010)

Municipality (n = 11,748)

Commuters count = 16.3 million

Regionalstatistik [22]

Employed population subject to social security contributions at the place of residence (year: 2019)

County (n = 401)

Employed population = 33.2 million

Regionalstatistik [21]

Employed population subject to social security contributions at the place of residence (year: 2010)

Municipality (n = 11,748)

Employed population = 27.8 million

BKG [3]

Polygon features representing German municipal boundaries (years: 2010, 2019)

Municipality

No. of Municipalities: 2019 = 11,058; 2010 = 11,748

Nordenholz et al. [19]

Polygon features representing TAZ

TAZ (n =6633)

 

Statistische Ämter des Bundes und der Länder [23], BKG v4]

INSPIRE based geographic grid system for Germany containing information on number of residences for each grid cell

Grid Cell size is 10000 sqm or 1 hectare

Total Population = 80.3 million