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Critical Performance Factors for Large World Cities - In Search of Qualitative Causal Patterns by means of Rough Set Analysis

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Title Critical Performance Factors for Large World Cities - In Search of Qualitative Causal Patterns by means of Rough Set Analysis
 
Creator Kourtit, Karima
Nijkamp, Peter
 
Description In the currently emerging ‘urban century’, large cities and urban agglomerations are increasingly turning into (socio-)economic and political powerhouses of great importance. This paper offers a comparative assessment of the multidimensional performance profile of major cities in our world, with particular emphasis on the livability and economic features of these cities. The explanatory cohesive framework in the present study is offered by the so-called ‘urban piazza’ model. Using an extensive database on various rankings of global 40 cities (the so-called GPCI data base), the relative performance of these cities is ‘explained’ in a qualitative sense by means of a non-parametric ordinal ranking method, known as rough set analysis. The approach allows us to identify the driving forces that altogether are responsible for the economic and livability achievements of these cities. The empirical analysis highlights the combined ‘power’ of selected success conditions and drivers of these cities concerned. Our empirical results demonstrate that the geographical accessibility of these urban areas appears to play in many cases an important role. 
 
Publisher ERSA
 
Date 2017-05-09
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Rough Set Analysis
 
Format application/pdf
 
Identifier http://openjournals.wu.ac.at/ojs/index.php/region/article/view/118
10.18335/region.v4i1.118
 
Source REGION; Vol 4 No 1 (2017); 51-70
2409-5370
 
Language eng
 
Relation http://openjournals.wu.ac.at/ojs/index.php/region/article/view/118/153
http://openjournals.wu.ac.at/ojs/index.php/region/article/view/118/154
 
Rights Copyright (c) 2017 KARIMA KOURTIT
http://creativecommons.org/licenses/by-nc/4.0