Geographic Information Dataset of Mobile Phone User Portrait in Inner-city Nanjing (2020)
HUANG Qinshi1,2,3CHEN Jiayu1SONG Weixuan*4
1 School of Civil Engineering and Architectural，Zhejiang University of Science and Technology，Hangzhou 3100232，China2 School of Architecture and Urban Planning，Tongji University，Shanghai 200092，China3 Zhejiang Jiaxing Digital City Laboratory Co. Ltd.，Jiaxing 314050，China4 Key Laboratory of Watershed Geography，Nanjing Institute of Geography and Lakes，Chinese Academy of Sciences，Nanjing 210008，China
DOI:10.3974/geodb.2024.07.09.V1
Published:Jul. 2024
Visitors：65 Data Files Downloaded：1
Data Downloaded：0.47 MB Citations：
Key Words：
Nanjing inner city,mobile phone portraits,daytime activities,nighttime residence
Abstract：
The spatial distribution of urban residents may differ significantly over time. Based on the mobile phone user profile data and geographic location information, the authors extracted the spatial distribution data of urban residents in Nanjing inner-city during daytime activities (working hours) and nighttime residences (sleeping hours). The community was taken as a spatial unit, the natural breakpoint method and the same grading standard for day and night were used to classify each indicator variable into seven grades: highest, high, medium-high, medium, medium-low, low, and lowest, and ultimately obtain the geographic information dataset of mobile phone user portrait in inner-city of Nanjing (2020). The dataset includes: (1) boundary of study area; (2) mobile phone user portrait data in 125 communities with eighteen typical dimensions. The dataset is archived in .shp, .tif, and .txt data formats, and consists of 311 data files with data size of 1.32 MB (Compressed into one file with 481 KB). The analysis article based on the dataset has been published at Acta Geographica Sinica, Vol. 79, No. 2, 2024.
Foundation Item：
National Natural Science Foundation of China (42201251, 42171234); Zhejiang University of Science and Technology (2023QN013)
Data Citation：
HUANG Qinshi, CHEN Jiayu, SONG Weixuan*. Geographic Information Dataset of Mobile Phone User Portrait in Inner-city Nanjing (2020)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2024. https://doi.org/10.3974/geodb.2024.07.09.V1.
References：
[1] Huang, Q. S., Zhou, Q., Song, W. X. Multidimensional steering and scale response in the study of urban residential differentiation in the new era [J]. Progress in Geography, 2023, 42(3): 573-586.
[2] Zhen, F., Yuan, C., Zhang, S. Q., et al. A study on the path of smart land enabling high-quality development of cities: a case study of Chongqing [J]. Journal Spatio-temporal Information, 2024, 31(2): 1-13.
[3] Wang, D., Han, B. L., Zhang, T. R., et al. Accuracy analysis of mobile signaling data in measuring travel indices: Based on the comparison with household travel survey [J]. Progress in Geography, 2024, 43(5): 854-869.
[4] Niu, Q., Wu, L., Sheng, F. B., et al. Measuring the dynamic balance of jobs and housing in Wuhan's suburban new towns based on individual job and housing migration [J]. Acta Geographica Sinica, 2023, 78 (12): 3095-3108.
[5] Song, W. X., Xu, D., Wang, J. K., et al. Spatial differentiation of daytime and nighttime society in Nanjing inner city based on cell phone portrait data [J]. Acta Geographica Sinica, 2024, 79(2): 421-438.
Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 1 |
NJday_night2020.rar |
481.64KB |
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