Spatial Distribution and Clusters of Industry Nearby High-speed Rail Station: The case of Nanjing Station, Shanghai-Nanjing Motor Train
Received date: 2011-09-05
Request revised date: 2012-02-15
Online published: 2012-03-25
Copyright
The questionnaires are surveyed including the passengers’ travel destination, traffic mode choice and the travel distance, etc., in the Nanjing Station of Shanghai-Nanjing Intercity high-speed railway. Collecting the address, industry category, set-up time of 6 145 companies surrounding station within 3 000 m as the study samples, using spatial analysis methods, this article analyzes the distribution of industries and spatial clusters by high-speed railway station. The resluts are as follows. 1) Generally speaking, industry location has obvious circle structure around high-speed station. The company density shows a circle structure with the Nanjing Station as the center and 500 m as the buffer radius. The company density ascends to the top at 1 500-2 000 m, and has break in the point of 2 000 m far from the Nanjing Station. The wholesale and retail industry has the largest number, business service industry in second, science and technology service industry in third. Comparing industry proportion in each circle, we come to the conclution that business service industry, accommodation and catering industry increase gradually at 0-1 500 m, reduce significantly at 2 000 m, which confirms the high-speed railway passengers on business service industry and accommodation and catering industry needs a 1 500 m-radius concentration. 2) The trend of spatial industrial concentration is similar, decreasing with the distance. Owing to the different spatial scales, the location of wholesale and retail industry has most options; transportation industry and real estate industry tend to have a significant traffic location. The accommodation and catering industry, computer service industry, science and technology service industry as well as the resident service industry show homogeneous distribution based on the cluster distribution. 3) There is a significant difference in the spatial distribution of the industry, featured by “higher in the west and lower in the east”. The spatial distribution patterns are generally identified in three modes of concentration. The transportation industry and real estate industry have a "small scatter, large cluster" mode, that is, the spatial distribution of companies show relative concentration and form a single hotspot. The resident service industry, wholesale and retail industry as well as accommodation and catering industry present a “large scatter, large cluster” mode. Business service industry, science and technology service industry and computer service industry have a “large scatter, small cluster” mode. The results above confirm the Ripley' s K function analysis.
WANG Li , CAO You-hui , LIU Ke-wen , WANG Cong . Spatial Distribution and Clusters of Industry Nearby High-speed Rail Station: The case of Nanjing Station, Shanghai-Nanjing Motor Train[J]. SCIENTIA GEOGRAPHICA SINICA, 2012 , 32(3) : 301 -307 . DOI: 10.13249/j.cnki.sgs.2012.03.301
Fig.1 Distribution of company around high-speed railway station in Nanjing图1 南京站区企业分布 |
Fig.2 Circle density of sector in buffer areas of Nanjing high-speed railway station图2 南京站区各行业圈层密度分布 |
Fig.3 Industrial activities by high-speed railway station图3 高铁站区产业活动 |
Fig.4 Circle density of three types of companies图4 三大类企业圈层密度分布 |
Fig.5 Ripley's K functions of industrial distribution by Nanjing high-speed railway station图5 南京站区各行业Ripley′s K函数 |
Fig.6 Kernel density estimation of sectors around high-speed railway station in Nanjing图6 南京站区各行业核密度估计 |
The authors have declared that no competing interests exist.
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