Spatial distribution and regional accessibility measurement of financial services in China
Based on POI data, the spatial pattern of financial service industry in Nanjing and Hangzhou in 2020 was studied by using kernel density estimation, standard deviation ellipse, nearest neighbor index, and local Getis-Ord G* index. The NNI of financial services in Nanjing and Hangzhou are 0.408127 an...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Springer
2021
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/26667/ |
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| Summary: | Based on POI data, the spatial pattern of financial service industry in Nanjing and Hangzhou in 2020 was studied by using kernel density estimation, standard deviation ellipse, nearest neighbor index, and local Getis-Ord G* index. The NNI of financial services in Nanjing and Hangzhou are 0.408127 and 0.145855. The global Moran's I of the spatial distribution of financial services are 0.606754 and 0.589392. Both two cities showed obvious characteristics of agglomeration distribution, and there is an obvious spatial correlation. The spatial agglomeration of Nanjing is slightly stronger than that of Hangzhou. For Hangzhou, the distribution is mainly along the ``southwest to northeast'', and the center is located in the West Lake area. For Nanjing, the distribution is mainly along the ``south-east'', and the center is located in Qinhuai District. Residents of Nanjing have a higher spatial accessibility in terms of comfortable walking. Within the sub-comfortable walking zone, the two cities are in similar accessibility. However, it is also found that the inequality in Nanjing is higher, and the average walking distance of residents in Nanjing is higher than that in Hangzhou. |
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