Appendix 1: Cities in the analysis grouped by size
The tables below show the cities in each size category used for this report, and their average population.
Table 2: Cities under analysis by population
|Groups||British cities (avg. population)||European Cities (avg. population)|
|Less than 750,000||Bristol, Liverpool and Nottingham||Stuttgart, Frankfurt am Main, Dortmund, Toulouse, Leipzig, Düsseldorf, Essen, Bremen, Nantes, Bordeaux, Dresden, Nice, Zaragoza, Palermo, Seville and Genoa|
|Between 750,000 and one million||Sheffield, Leeds and Newcastle||Lille, Marseille, Valencia, Rotterdam, Bilbao and Turin|
|Above one million||Glasgow, Manchester and Birmingham||Berlin, Brussels, Stockholm, Munich, Copenhagen, Barcelona, Hamburg, Milan, Rome, Lyon, Dublin, Amsterdam, Madrid, Cologne and Napoli|
|Mega cities (nine million-plus)||London||Paris|
Table 3: Based on average population levels, the defined groups are comparable
|Groups||Less than 750,000||Between 750,000 and one million||More than one million||London and Paris|
Appendix 2: Cities’ specific features – accessibility, effective size and productivity
Figure 15: Unlike in Western European cities, the entire population of most British cities are not within a 45-minute public transport range
Appendix 3: Visual demonstration of the estimated impact on public transport accessibility
The Figure below is a visual representation of what the simple modelling in this would mean for the correlation between cities’ size and productivity. The intention is not to provide a prediction – in reality, increasing the effective size may lead to greater improvements in productivity, placing cities nearer to the regression line.