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Fig 1.

Location map of Zhangjiakou City.

This map is created using ArcGIS 10.8 (https://desktop.arcgis.com/en/arcmap/latest/get-started/main/get-started-with-arcmap.htm). The administrative boundary vector of the study area are sourced from the Environmental Science and Data Center, CAS (https://www.resdc.cn/). The built-up area and the Digital Elevation Model (DEM) are from the China Land Cover Dataset (CLCD) (https://code.earthengine.google.com/77ed04f1ad0f5dea08601eef9e01199f) and the MODIS terrain database (https://code.earthengine.google.com/cbee1df6686a326ee1459189782879b9) of Google Earth Engine, respectively.

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Fig 1 Expand

Table 1.

Data source.

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Table 1 Expand

Fig 2.

Data processing framework.

The administrative boundary vector data used in this figure are from the Resource and Environment Science and Data Center, Chinese Academy of Sciences.

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Table 2.

Urbanization evaluation system.

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Fig 3.

Temporal variation characteristics of urbanization level in Zhangjiakou City during the preparation period of the Winter Olympics.

(a) This figure depicts the changes in the total urbanization level of Zhangjiakou City. (b) These four graphs respectively represent the changes in the urbanization level of Zhangjiakou City in four dimensions: population, economy, spatial and ecology.

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Fig 4.

Spatial-temporal evolution trend of urbanization in Zhangjiakou City from 2017 to 2022.

The administrative boundary vector data used in this figure are from the Resource and Environment Science and Data Center, Chinese Academy of Sciences.

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Table 3.

Urbanization results of Zhangjiakou City from 2017 to 2022.

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Fig 5.

LISA cluster diagram of economic urbanization in Zhangjiakou City from 2017 to 2022.

The administrative boundary vector data used in this figure are from the Resource and Environment Science and Data Center, Chinese Academy of Sciences.

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Fig 6.

LISA significance diagram of economic urbanization in Zhangjiakou City from 2017 to 2022.

The administrative boundary vector data used in this figure are from the Resource and Environment Science and Data Center, Chinese Academy of Sciences.

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Table 4.

Results of of Zhangjiakou City’s economic urbanization from 2017 to 2022.

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Table 5.

Identification results of driving factors at the dimension level.

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Table 6.

Identification results of driving factors at the indicator level.

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