A Multi-Actor Multi-Criteria Analysis of the Performance of Global Cities

K. Kourtit, C. Macharis, P. Nijkamp

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

The strong world-wide urbanisation trend calls for a repositioning of cities, especially the large cities with a global impact. These cities tend to become economic, logistic and political powerhouses and are increasingly involved in a competition on their integral performance. The present paper aims to trace to what extent and why some cities outperform others. Starting from an extensive database on many important characteristics of global cities, this paper offers a multi-criteria methodology for identifying the relative position of various important cities on the basis of distinct assessment criteria. The explicit consideration of the perceptions of important classes of stakeholders on the performance outcomes of the various cities involved allows for an enhanced policy analysis. From a technical assessment perspective, the applied part of the paper employs the MAMCA and PROMETHEE multi-criteria methodology, which have proven their analytical power in various multi-criteria evaluation problems over the past years. The paper concludes with some policy perspectives and lessons. © 2013 Elsevier Ltd.
Original languageEnglish
Pages (from-to)24-36
JournalApplied Geography
Volume49
Issue numberMay
DOIs
Publication statusPublished - 2014

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world city
performance
assessment criteria
methodology
large city
urbanization
logistics
stakeholder
policy analysis
trend
evaluation
economics
analysis
city
Multi-criteria
Global city
Multi criteria analysis
Methodology
stakeholders
Integral

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Kourtit, K. ; Macharis, C. ; Nijkamp, P. / A Multi-Actor Multi-Criteria Analysis of the Performance of Global Cities. In: Applied Geography. 2014 ; Vol. 49, No. May. pp. 24-36.
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A Multi-Actor Multi-Criteria Analysis of the Performance of Global Cities. / Kourtit, K.; Macharis, C.; Nijkamp, P.

In: Applied Geography, Vol. 49, No. May, 2014, p. 24-36.

Research output: Contribution to JournalArticleAcademicpeer-review

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