Volume 20, Issue 3 (2016)                   MJSP 2016, 20(3): 181-209 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

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
1- Associate Professor in Urban and Regional Planning, Shahid Beheshti University, Tehran, Iran
2- Assistant Professor of Geography, University of Mohaghegh Ardabili, Ardabil, Iran.
Abstract:   (8332 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.    
Full-Text [PDF 443 kb]   (2812 Downloads)    

Received: 2015/10/31 | Accepted: 2016/05/30 | Published: 2016/11/21

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.