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Curtin University

Table

SNAMUTS Overview

Indicator Hamburg (2008) Amsterdam (2010) Zuid Holland (2010) Wien (2011) Copenhagen (2009) Barcelona (2011) Zurich (2011 Utrecht (2010) Edinburgh (2011) Oporto (2009) Munich (2011) Melbourne (2010) Sydney (2011) Brisbane (2011) Perth (2009) Adelaide (2011) Auckland (2011)
Residents in metropolitan area 3.37m 2.16m 3.46m 2.48m 1.85m 4.85m 1.44m 1.20m 1.27m 1.23m   4.00m 4.39m 2.01m 1.73m 1.23m 1.46m
Jobs in metropolitan area 1.66m 0.96m 1.30m 1.18m 0.70m 2.12m 0.86m 0.54m 0.58m 0.52m   1.69m 1.84m 0.89m 0.75m 0.52m 0.52m
Activities in metropolitan area 4,456.61 3,123,576 4,756,566   2,680,189     1,120,978   1,751,434   5,100,012     2,109,409    
Service intensity per 100,000 inhabitants 16.5 28.7 16.8 25.5 24.8 22.5 25.9 16.2 38.2 24.9 14.2 13.4 14.9 11.6 12.6 18.1 9.2
Number of activity nodes 186 134 217 187 140 235 137 75 102 96 179 192 179 94 79 84 63
Degree centrality* 1.12 1.08 1.6 1.2 0.93 1.11 1.22 1.17 0.89 0.91 0.9 0.91 1.04 0.91 1.03 1.09 0.95
Degree centrality, standard deviation 0.37 0.34 0.36   0.19     0.26   0.24   0.22     0.31    
Closeness centrality * 51.9 48.8 62.9 38.8 47.9 44.8 47.4 49.2 72.1 46.4 48.4 62.3 81.5 64.1 59.9 61.1 59
Closeness centrality, standard deviation 14.8 15.3 17.5   13.3     12.5   19.1   20.9     18.7    
Contour catchment* 841,000 (16.7%) 606,000 (19.4%) 512,000 (10.8%) 1,142,000 (31.2%) 754,000 (29.7%) 1,702,000 (24.4%) 508000 (22.1%) 287,000 (16.6%) 252,000 (13.6%) 315,000 (18.0%)   526,000 (9.2%) 519,000 (8.3%) 306,000 (10.6%) 263,000 (10.7%) 188,000 (10.8%) 197,000 (10.2%)
Contour catchment, standard deviation 515,000 (11.6%) 399,000 (12.8%)     481,000 (18.0%)     181000   211,000 (12.1%)   489,000 (9.6%)     145,000 (6.9%)    
Network Coverage 2,882,000 (57.3%) 2,486,000 (79.6%) 3,135,000 (65.9%) 2,920,000 (79.7%) 1,875,000 (73.7%) 5,396,000 (77.5%) 1705000 (74.5%) 1,014,000 (58.4%) 1,081,000 (58.3%) 1,112,000 (63.5%)   2,663,000 (46.8%) 3,398,000 (54.6%) 1,086,000 (37.5%) 1,027,000 (41.5%) 837,000 (48.1%) 635,000 (32.8%)
Nodal Betweenness* 41.4 38.8 30.7 46.6 43.7 75.9 26.7 35.8 27.2 31   33.1 40.5 33,6 30.9 24.4 30.5
metro/U-Bahn/LRT 31.80% 13.50% 16.50% 41.20% 9.10% 43.90% - 14.30% - 28.90%   - - - - - -
Segmental betweenness - tram - 16.60% 25.60% 27.8%3 - 1.10% 21.70% - - 0.00%   30.00% 0.80% - - 5.00% -
Segmental betweenness - bus 34.80% 37.20% 20.70% 11.20% 33.60% 23.00% 18.10% 56.40% 83.60% 68.00%   17.80% 40.80% 60.70% 53.50% 73.70% 84.10%
Segmental betweenness - ferry 0.50% 0.00% 0.20% - 0.00% - 0.10% - - -   - 0.50% 3.60% 0.00% - 0.70%
Segmental betweenness in CBD areas 22.30% 22.50% 19.8% (Rotterdam) 16.5% (Den Haag) 23.50% 24.10% 20.40% 28.80% 42.80% 38.10% 43.10%   32.70% 32.20% 31.80% 40.00% 62.00% 35.40%
Average segmental congestion index 21.3 16.9 23.7 11.5 15.1 17.8 10.6 19 13.6 22.5   22.4 27.6 24.4 18.6 20.9 23.8
Nodal connectivity* 143 123 86 193 88 305 83 60 NA 47 175 82 77 NA 19 12 12
SNAMUTS limited composite accessibility index * 19 21.5 15.9 30.1 24 30.2 20.8 16.7 NA 17.2 NA 15.5 14.8 NA 13.3 NA  

* Degree centrality (average minimum number of trip segments between transfers for each pair of nodes)
* Closeness centrality (average minimum cumulative impediment between each pair of nodes)
* Contour catchment (average number of residents and jobs within 30 minute public transport travel time from activity node)
* Nodal connectivity (average per activity node)
* SNAMUTS limited composite accessibility index (average per activity node)
* Nodal Betweenness (the number of network paths that pass through a node)

Notes.
1) Italics denote that data is preliminary and maps will follow once both are updated.
2) All cities are compared using the same public transport service metric - i.e. minimum service standard 20 mins on weekdays and 30 minutes on weekends.
3) Case study data collection date shown in brackets.