NEIGAE OpenIR
A New Geographical Cluster View on Passenger Vehicle Purchasing in Chinese Cities
D. Q. Liu, W. Song, J. Lu, C. Y. Xie and X. Wen
2018
发表期刊Isprs International Journal of Geo-Information
卷号7
摘要It is important to understand urban auto markets from a spatial perspective. Specifically, the question of how to simplify and visualize the relatedness of the complicated urban markets arises. Based on the concept of 'product space', this research explores the similarity between Chinese cities and identifies the city clusters using data of automobile sales in 2012. A city's automobile market is shared by different manufacturers and the proximity between two cities is evaluated based on the similarity or relatedness in the structure of the two markets. The spatial structures of the 'city clusters' derived from the proximities of automobile markets among cities are mapped, examined, and interpreted. The analysis indicates that cities with higher proximity tend to be similar. According to the intercity proximity index, four geographical city-clusters are identified: the Southeast developed city-cluster, North China city-cluster, Northeast city-cluster, and West city-cluster. Cities in the same cluster tend to share many common characteristics while cities in different clusters exhibit obvious variances, especially in terms of economic status and dominant automakers.
文献类型期刊论文
条目标识符http://ir.iga.ac.cn/handle/131322/9213
专题中国科学院东北地理与农业生态研究所
作者单位中国科学院东北地理与农业生态研究所
推荐引用方式
GB/T 7714
D. Q. Liu, W. Song, J. Lu, C. Y. Xie and X. Wen. A New Geographical Cluster View on Passenger Vehicle Purchasing in Chinese Cities[J]. Isprs International Journal of Geo-Information,2018,7.
APA D. Q. Liu, W. Song, J. Lu, C. Y. Xie and X. Wen.(2018).A New Geographical Cluster View on Passenger Vehicle Purchasing in Chinese Cities.Isprs International Journal of Geo-Information,7.
MLA D. Q. Liu, W. Song, J. Lu, C. Y. Xie and X. Wen."A New Geographical Cluster View on Passenger Vehicle Purchasing in Chinese Cities".Isprs International Journal of Geo-Information 7(2018).
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