Empirical approaches in knowledge city research

Yigitcanlar, Tan (2014) Empirical approaches in knowledge city research. Expert Systems with Applications, 41(12), pp. 5547-5548.

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In the 21st century, it has become apparent that ‘knowledge’ is a major factor of postmodern production (Yigitcanlar et al., 2007). Beyond this, in today’s rapidly globalizing world, knowledge, along with the social and technological settings, is seen as a key to secure economic prosperity and quality of life (Yigitcanlar et al., 2008a). However, limiting the benefits of a ‘knowledge-based development’ to only economic gains—and to a degree to social ones—is quite a narrow sighted view (Yigitcanlar et al., 2008b). Thus, the concept of ‘knowledge-based urban development’ is coined to bring economic prosperity, environmental sustainability, a just socio-spatial order and good governance to cities, and as a result producing a purposefully designed city—i.e., ‘knowledge city’—generating positive environmental and governance outcomes as well as economic and societal ones (Yigitcanlar, 2011; Carrillo et al., 2014).

Impact and interest:

8 citations in Scopus
3 citations in Web of Science®
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ID Code: 67390
Item Type: Journal Article
Refereed: Yes
Keywords: Knowledge city, Knowledge-based urban development
DOI: 10.1016/j.eswa.2014.02.005
ISSN: 0957-4174
Subjects: Australian and New Zealand Standard Research Classification > BUILT ENVIRONMENT AND DESIGN (120000) > URBAN AND REGIONAL PLANNING (120500) > Urban Analysis and Development (120507)
Divisions: Current > Schools > School of Civil Engineering & Built Environment
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2014 Elsevier Ltd.
Copyright Statement: NOTICE: this is the author’s version of a work that was accepted for publication in Expert Systems with Applications. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Expert Systems with Applications, Volume 41, Issue 12, (15 September 2014) DOI: 10.1016/j.eswa.2014.02.005
Deposited On: 17 Feb 2014 01:30
Last Modified: 24 Sep 2015 01:08

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