Skip to main content

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