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作者

Mehdi Moeinaddini;Zohreh Asadi-Shekari;Mahdi Aghaabbasi;Ismaïl Saadi;Muhammad Zaly Shah;Mario Cools

来源

CITIES,Vol.105,Issue1,Article 102851

语言

英文

关键字

Urban life satisfaction;European cities;Non-parametric modeling techniques, C5.0 algorithm;Flash Eurobarometer 2015

作者单位

Local Environment & Management Analysis (LEMA), Urban and Environmental Engineering (UEE), University of Liège, Allée de la Découverte, Quartier Polytech, 4000 Liège, Belgium;Centre for Innovative Planning and Development (CIPD), Faculty of Built Environment, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia;National Fund for Scientific Research (F.R.S.-FNRS), Rue d'Egmont 5, 1000 Brussels, Belgium;KULeuven Campus Brussels, Department of Informatics, Simulation and Modeling, Warmoesberg 26, 1000 Brussels, Belgium;Hasselt University, Faculty of Business Economics, Agoralaan Gebouw D, 3590 Diepenbeek, Belgium;Local Environment & Management Analysis (LEMA), Urban and Environmental Engineering (UEE), University of Liège, Allée de la Découverte, Quartier Polytech, 4000 Liège, Belgium;Centre for Innovative Planning and Development (CIPD), Faculty of Built Environment, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia;National Fund for Scientific Research (F.R.S.-FNRS), Rue d'Egmont 5, 1000 Brussels, Belgium;KULeuven Campus Brussels, Department of Informatics, Simulation and Modeling, Warmoesberg 26, 1000 Brussels, Belgium;Hasselt University, Faculty of Business Economics, Agoralaan Gebouw D, 3590 Diepenbeek, Belgium

摘要

Although urban quality of life is one of the important topics in most of the European policies, these policies are not supported by empirical analysis. Furthermore, there are few studies in urban quality of life area that consider a sufficiently large number of cities and related factors and those that focused on European cities applied parametric analysis techniques that cannot handle multicollinearity. To remedy the aforementioned shortcomings, in this study, a large number of factors related to urban quality of life are investigated in different European cities, and to handle multicollinearity, non-parametric analysis techniques are adopted. The data stem from the Eurostat (2015), collecting information on urban quality of life for >40,000 citizens in 112 urban areas. Different non-parametric modeling techniques are applied and the results of the method that yielded the highest overall accuracy, i.e. the C5.0 algorithm, are presented. The results show that from the wide scope of considered factors, five main variables play an important role in urban life satisfaction, i.e. (i) feeling safe in the city, (ii) satisfaction with healthcare services in the city, (iii) satisfaction with the state of streets and buildings in the neighborhood, (iv) satisfaction with public transport in the city, and (v) availability of retail shops.