049R_A multiple-attribute decision making-based approach for smart city rankings design (research summary)

Summary of the article titled A multiple-attribute decision making-based approach for smart city rankings design from 2018 by Soledad Escolar, Félix Villanueva, Maria Santofimia, David Villa, Xavier del Toro, and Juan Carlos López published in the Technological Forecasting & Social Change journal.  Since we are investigating the future of cities, I thought it would be interesting to see city-comparisons regarding smart cities. This article investigates and compares smart city rankings and suggests new approaches, using the example of New York, Seoul and Santander, to establish the proper evaluation of urban smartness. You can find the article through this link. Abstract: Rankings are a valuable element for city-comparison purposes since results withdrawn from these comparisons can, eventually, support the evaluation of strategic decisions taken by cities. Smart city rankings are not an exception and, as they draw more attention, the number of them exponentially increases. This paper evaluates the appropriateness of existing smart city rankings for quantifying the materialization degree of the smart city concept. The analysis reveals that current rankings generally overlook indicators of the Information and Communication Technologies dimension. To bridge this gap, this work proposes a methodology based on Multiple-Attribute Decision Making that uses technological criteria for designing smart city rankings. The proposed methodology is evaluated against the cities of New York, Seoul, and Santander. Imbalances between results provided by the studied rankings and our evaluation are detected, which suggests the need for a new insight into more suitable and precise evaluation of the smartness degree of cities. You can find the transcript through this link. What wast the most interesting part for you? What questions did arise for you? Let me know on twitter @WTF4Cities! I hope this was an interesting episode for you and thanks for tuning in. Music by Lesfm from Pixabay