Assessing the Urban Competitiveness of European Cities Using LOPCOW-RAWEC Methodologies
Journal Title: International Journal of Knowledge and Innovation Studies - Year 2024, Vol 2, Issue 3
Abstract
Urban competitiveness is an essential determinant of the long-term sustainability and economic development of cities, influencing not only local prosperity but also national growth. The accurate measurement of urban competitiveness is critical for policymakers, as it provides insights into the strengths and weaknesses of cities, informing strategic development. This study evaluates the competitiveness of 17 European cities through an integrated Multi-Criteria Decision-Making (MCDM) framework, combining the Logarithmic Percentage Change-driven Objective Weighting (LOPCOW) method for criteria weighting with the Ranking of Alternatives with Weights of Criterion (RAWEC) method for city ranking. The dataset utilised in this analysis was derived from the 2024 Global Power City Index (GPCI), a comprehensive report assessing various urban performance dimensions. The LOPCOW methodology revealed that the livability (L) criterion holds the highest weight in determining urban competitiveness, whereas research and development (R&D) emerged as the least influential factor. Using the RAWEC method, cities were ranked based on their overall competitiveness, with London identified as the most competitive urban centre, while Istanbul was ranked lowest. The findings highlight the importance of livability in enhancing urban competitiveness and suggest that cities should prioritise improvements in R&D to foster more balanced and sustainable competitiveness. This research contributes to the growing body of literature on urban performance measurement, offering a novel methodological approach that integrates both objective weighting and ranking techniques, which can be applied to further studies on global urban competitiveness.
Authors and Affiliations
Ali Aygün Yürüyen, Alptekin Ulutaş
Keywords
Related Articles
- EP ID EP756129
- DOI https://doi.org/10.56578/ijkis020305
- Views 48
- Downloads 1
Selection of Enhanced Security Systems Using Complex T-Spherical Fuzzy Models Within a Complex Fuzzy Environment
The theory of Complex T-Spherical Fuzzy Sets (CTSpFSs) is introduced along with their Einstein operational methods under induced variables. This research aims to extend the theoretical framework of complex fuzzy sets (CF...
Selection of CRM Systems Using Objective Criteria for the Needs of Small Companies
This research examines customer relationship management (CRM) systems using multi-criteria decision-making (MCDM) methods, with the intention of selecting the most suitable solution for small companies. The main goal of...
Enhanced Prediction Accuracy in Complex Systems: An Approach Integrating Fuzzy K-Clustering and Fuzzy Neural Network
The quest for heightened precision in fuzzy system predictions has culminated in the development of an innovative model that integrates a Fuzzy K-Clustering (FKC) algorithm with a fuzzy neural network (FNN). In this appr...
A Blockchain Cross-Chain Solution Based on Relays
Blockchain has attracted widespread attention due to its unique features such as decentralization, traceability, and tamper resistance. With the rapid development of blockchain technology, an increasing number of industr...
A Residual Network with Multi-Scale Dilated Convolutions for Enhanced Recognition of Digital Ink Chinese Characters by Non-Native Writers
Digital ink Chinese character recognition (DICCR) systems have predominantly been developed using datasets composed of native language writers. However, the handwriting of foreign students, who possess distinct writing h...