DocumentCode
727709
Title
Study on space-time evolution & driving factors of industrial structure of Shandong peninsula urban agglomeration based on GIS
Author
Baoyan Shan ; Li´e Wang
Author_Institution
Sch. of Civil Eng., Shandong Jianzhu Univ., Jinan, China
fYear
2015
fDate
22-24 June 2015
Firstpage
1
Lastpage
5
Abstract
By using the data of industrial structure and economic and social environment of 8 cities of Shandong peninsula urban agglomeration (SDPUA) from 2001 to 2012, ARCGIS spatial analyst extensions and matlab7.0 stepwise regression were applied to analyze the space-time evolution & driving factors of industrial structure of Shandong peninsula urban agglomeration. The results show that the primary industry growth rate and its proportion of SDPUA increases gradually and then decreases from east to west, and firstly decreases gradually and then increase from south to north. The secondary industry growth rate and its proportion increases gradually and then decreases from east to west, and decrease gradually from south to north. The tertiary industry growth rate of SDPUA increases gradually and then decreases from east to west and firstly decrease gradually and then increase from south to north. The driving factors of secondary industry are Per capita gross domestic product, population, the residents´ consumption level, the financial institutions loan balance and the road network density. The driving factor of tertiary industry is the financial institutions loan balance. Both the secondary industry and tertiary industry have no correlation with the distance from the primate city and the economic center of the region.
Keywords
geographic information systems; public administration; regression analysis; ARCGIS spatial analyst extensions; GIS; SDPUA; Shandong peninsula urban agglomeration; driving factors; economic center; economic environment; financial institution loan balance; industrial structure; road network density; social environment; space time evolution; space-time evolution; tertiary industry; Cities and towns; Correlation; Economic indicators; Industries; Market research; Mathematical model; Driving factors; GIS; Industrial Structure; Shandong peninsula urban agglomeration; Space-time evolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Service Systems and Service Management (ICSSSM), 2015 12th International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-4799-8327-8
Type
conf
DOI
10.1109/ICSSSM.2015.7170283
Filename
7170283
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