Research Article
Compilation of Smart Cities Attributes and Quantitative Identification of Mismatch in Rankings
Table 4
Normalized scores of the 6 common cities in all the 7 ranking studies considered.
| Ranking study | City | Maximum attainable score (the ideal case) | Berlin | Chicago | Dubai | Melbourne | New York | Singapore |
| Smart Cities Index, 2019 | 10 | 0.672 | 0.658 | 0.539 | 0.604 | 0.665 | 0.707 | Smart Cities Index, 2018 | 10 | 0.671 | 0.695 | 0.432 | 0.521 | 0.671 | 0.613 | Smart City Governments | 50 | 0.516 | 0.548 | 0.48 | 0.59 | 0.626 | 0.646 | Cities in Motion Index, 2019 | 100 (assigned to the top city) | 0.809 | 0.756 | 0.529 | 0.751 | 0.946 | 0.827 | Cities in Motion Index, 2018 | 100 (assigned to the top city) | 0.763 | 0.736 | 0.567 | 0.749 | 1.000 | 0.795 | Smart Cities—What’s in it for citizens? | — | — | — | — | — | — | — | Smart Cities Prospects | 100 | 0.790 | 0.830 | 0.790 | 0.870 | 0.800 | 0.880 |
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