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Karima Kourtit

Researcher at Royal Institute of Technology

Publications -  157
Citations -  2537

Karima Kourtit is an academic researcher from Royal Institute of Technology. The author has contributed to research in topics: Urban agglomeration & Urbanization. The author has an hindex of 24, co-authored 123 publications receiving 2069 citations. Previous affiliations of Karima Kourtit include VU University Amsterdam & Adam Mickiewicz University in Poznań.

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Smart cities in perspective – a comparative European study by means of self-organizing maps

TL;DR: In this paper, a comparative analysis of nine European smart cities on the basis of an extensive database covering two time periods is presented, and a new approach based on a self-organizing map analysis is adopted to position the various cities under consideration according to their selected "smartness" performance indicators.
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Smart cities in the innovation age

TL;DR: In this paper, the authors describe smart cities as the result of knowledge-intensive and creative strategies aiming at enhancing the socio-economic, ecological, logistic and competitiv...
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The “New Urban Europe”: Global Challenges and Local Responses in the Urban Century

TL;DR: In this paper, the challenges for urban environments may be turned into new opportunities, in particular, in such domains as advanced infrastructure and logistic systems, environmental and climate-neutral facilities, creative and knowledge-intensive strategies for socioeconomic prosperity and well-being.
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Performance measurement and management in practice : Advantages, disadvantages and reasons for use

TL;DR: This research shows that management needs to make the advantages of PMM explicit before the PMM implementation starts and keep stressing these advantages during and after implementation, which will heighten commitment of organizational members for PMM and increase a successful use ofPMM.
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The smart city as a common place for tourists and residents : A structural analysis of the determinants of urban attractiveness

TL;DR: In this paper, a structural modeling analysis of the performance determinants of urban attractiveness, in terms of resident population and international tourism demand, in 40 global cities is presented, in order to identify the most important factors for urban attractiveness.