Volume 20, Issue 3 (2016)
MJSP 2016, 20(3): 181-209 |
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Sarrafi M, Mohammadi A. Analysis of Spatial Distribution Pattern of Knowledge-Intensive Firms
Case Study: Tehran Metropolis. MJSP 2016; 20 (3) :181-209
URL: http://hsmsp.modares.ac.ir/article-21-2104-en.html
URL: http://hsmsp.modares.ac.ir/article-21-2104-en.html
1- Associate Professor in Urban and Regional Planning, Shahid Beheshti University, Tehran, Iran
2- Assistant Professor of Geography, University of Mohaghegh Ardabili, Ardabil, Iran.
2- Assistant Professor of Geography, University of Mohaghegh Ardabili, Ardabil, Iran.
Abstract: (7709 Views)
Between 2010 and 2015, a new wave of information and knowledge based economy, leads to the formation of knowledge intensive firms in geography of Tehran metropolis. In most cases, these firms selected sites which are not in compliance with spatial planning frameworks, norms and rules and they were located following the market-driven factors. Therefore, reviewing and analyzing this new geographic phenomenon is important for recommending spatial planning policies in Tehran. The main objective of this research is to understand the spatial distribution patterns of these knowledge intensive firms and their spatial relationships with environmental, social, economic, educational, research and infrastructure factors in Tehran metropolis. In this study, the data of more than 930 registered companies till 2015 have been pinpointed in GIS, using spatial statistics methods to be analyzed. The findings show that spatial distribution pattern of knowledge intensive firms is cluster type which is highly related to basic infrastructures such as public transport network and also, with research and educational institutions. At the end, suggestions based on the results of the research have provided. At the end, suggestions based on the results of the research have provided.
Keywords: Key words: Globalization, Knowledge-Based Economy, Knowledge intensive firms, Tehran metropolis, spatial analysis
Received: 2015/10/31 | Accepted: 2016/05/30 | Published: 2016/11/21
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