Abstract

In this paper, we propose an index to measure the quality of the most important European cities. Using collected data from 66 cities belonging to the 28 countries within the European Union and applying the principal components analysis method, we construct the European Cities Quality Index (ECQI) as a combination of eight dimensions: (1) Public health, (2) Education, (3) Employment and incomes, (4) Environment, (5) Gender equality, (6) Leisure and entertainment, (7) Housing and safety and (8) Transport and mobility, that are in turn made up of 40 distinct variables. We find that London, Aarhus, and Berlin are the cities with the highest scores in the index, with northern European cities performing the best. At the other end of the spectrum, Sofia, Plovdiv, and Bucharest, with severe deficiencies in every dimension, scored worst on the study. The comparisons with the Sustainable Cities Index (Arcadis), the Global Power City Index (Institute for Urban Strategies), Cities in Motion (IESE), the Cities Prosperity Index (UN), and Dynamic Cities (Savills) help us understand the potential use of this new index and its purpose as a tool for assessing public policy. The ECQI could be used to assist public policies designed to improve perception in regions where it is needed.

Highlights

  • The emergence of the concept of “quality of life” and the concern about its scientific and systematic evaluation is recent

  • We find that London, Aarhus, and Berlin are the cities with the highest scores in the index, with northern European cities performing the best

  • It is precisely this wide range of disciplines and conceptions that make it difficult to define the quality of life in a precise and accurate way (Cummins, 2000; Haas, 1999)

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Summary

Introduction

The emergence of the concept of “quality of life” and the concern about its scientific and systematic evaluation is recent. The idea began to become popular in the 1960s until it became a concept used today in a wide range of fields, such as health, education, economics and politics (Gómez-Vela & Sabeh, 2000). It is precisely this wide range of disciplines and conceptions that make it difficult to define the quality of life in a precise and accurate way (Cummins, 2000; Haas, 1999). Indicators have become one of the most widely used tools by experts in different fields to carry out measurements and evaluations ranging, for example, from pollution levels indices (Khanna, 2000) to infant mortality indices (Kaempffer & Medina, 2006)

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