Assessing and Ranking EU Cities Based on the Development Phase of the Smart City Concept

Diogo Correia (), João Lourenço Marques and Leonor Teixeira
Additional contact information
Diogo Correia: Research Unit on Governance, Competitiveness and Public Policies (GOVCOPP), Department of Economics, Management, Industrial Engineering and Tourism (DEGEIT), School of Design, Management and Production Technologies—North Aveiro School (ESAN), University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
João Lourenço Marques: Research Unit on Governance, Competitiveness and Public Policies (GOVCOPP), Department of Social, Political and Territorial Sciences (DCSJP), University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
Leonor Teixeira: Department of Economics, Management, Industrial Engineering and Tourism (DEGEIT), Institute of Electronics and Informatics Engineering of Aveiro (IEETA)/Intelligent Systems Associate Laboratory (LASI), University of Aveiro, 3010-193 Aveiro, Portugal

Sustainability, 2023, vol. 15, issue 18, 1-34

Abstract: Policymakers face numerous challenges in benchmarking and assessing cities’ current development states. This study extends the understandings of previous research to provide a new perspective about how to rank smart cities’ developments by comparing the existing initiatives with city population density (as a proxy of socio-demographic characteristics) and the respective smart city phase. Quantitative analysis was performed to cluster the European Union cities according to the number of existing projects in the literature organized by smart city categories. Furthermore, to allow for the assessment of the city’s state, a composite indicator was developed that takes into consideration the different category weights to ultimately provide a smart city ranking. By clustering the categories using a Principal Component Analysis (PCA), it was possible to relate them with a specific smart city phase. In addition, for a reasonable benchmark, the city’s population density was considered. Moreover, this paper ranks the cities of the European Union and provides insightful information about the development phase of the smart city concept of each territory. The results show that on a normalized scale of 0 to 1000, the largest cities or the ones with most initiatives do not rank first. Furthermore, it shows that in similar socio-demographic contexts, there are variations in the smart city stage. Therefore, applying the contribution and findings of this research can help identify these differences and establish a set of best practices for improving the design and effectiveness of smart city strategies.

Keywords: smart city; ranking; urban planning; strategy and development stage (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/18/13675/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/18/13675/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:18:p:13675-:d:1238942

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().