As cities worldwide adopt various high-tech solutions to solve emerging urban problems, transition toward greater smartness becomes a global trend. The question, however, remains how the cities’ progress towards greater smartness can be monitored and measured. Although different smart city (SC) classifications exist, these classifications are not always balanced, with some of them placing an emphasis on ICTs and infrastructure, while others prioritize social performance of cities and their physical environment. In this study, we suggest a relatively simple SC ranking system, based on two basic principles – direct relevance to human welfare and equal representation of key dimensions of sustainability. The proposed assessment system, composed of nine quantitative metrics, is applied to 100+ major cities worldwide, helping us to identify the best and the worst SC performers. As the study also reveals, there are clear regional differences in the interpretation components and underlying dimensions of SCs with an emphasis on “economy and technology” in North America, “the environment” in Europe, and “society” in Asia.
Bibliographical noteFunding Information:
☆ This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
© 2023 Elsevier Ltd
- Empirical measures
- Ranking system
- Smart cities (SCs)
ASJC Scopus subject areas
- Human Factors and Ergonomics
- Business and International Management
- Sociology and Political Science