The Identification of Agglomeration Trends of Airport Foreign Firms

被引：0

作者：

Zhu, Yaowen ^{[1
]}

Wang, Qing ^{[2
]}

Wang, Lu ^{[1
]}

机构：

[1] China Acad Civil Aviat Sci & Technol, Beijing 100028, Peoples R China

[2] Hohai Univ, Infrastruct Dept, Nanjing, Jiangsu, Peoples R China

来源：

PROCEEDINGS OF 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION (ICICTA 2015) | 2015年

基金：

中国国家自然科学基金;

关键词：

Airport Foreign industry; industrial agglomeration; Shanghai Hongqiao International Airport (SHA);

D O I：

10.1109/ICICTA.2015.249

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Due to the fast development of globalization, civil aviation has become the power of regional economic and international trade. As the important hub of international communication, foreign firms have been attracted to locate at the vicinity of airports to enjoy the preferable location advantages, and gradually the airport foreign industrial agglomeration showed up. This paper takes Changning District in Shanghai City, which is the location of Shanghai Hongqiao International Airport (SHA), as the study area to analyze the agglomeration trends of foreign firms. Firstly, the information of new foreign firms between 2001 and 2011 is collected, and their locations are fixed with a GIS software. Secondly, the agglomeration patterns of airport foreign firms are analyzed with Unbalanced Index and Industrial Gravity Center. Finally, according to the trends of industrial shares, the types of airport foreign firms of SHA are identified.

引用

页码：978 / 982

页数：5

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