Dataset of Guangzhou Urban Safety Perception of Different Income Groups (2016)
LIAO Yitong1,2ZHOU Suhong*1,2XIAO Luzi3
1 School of Geography and Planning，Sun Yat-sen University，Guangzhou 510006，China2 Guangdong Provincial Engineering Research Center for Public Security and Disaster，Guangzhou 510275，China3 School of Geography and Remote Sensing，Center of GeoInformatics for Public Security，Guangzhou University，Guangzhou 510006，China
DOI:10.3974/geodb.2023.05.09.V1
Published:May 2023
Visitors：3255 Data Files Downloaded：55
Data Downloaded：3.18 MB Citations：
Key Words：
safety perception map,different income groups,Guangzhou,2016
Abstract：
In order to provide consultant information for improve urban safety perception during the process of social development, and evaluating safety perceptions among different groups can help to optimize urban planning and social management in a more humanized way, the Dataset of Guangzhou Urban Safety Perception of Different Income Groups in 2016 was developed. In this dataset, safety perception is narrowly defined as “fear of crime”. A survey including 1149 participants was carried out in central area of Guangzhou (divided in to 322 1-km grids) in 2016 to collect different safety perception maps of three income groups. To control the impact of activity space on perception space, the selection rates of each map were adjusted using the direct standardization method in epidemiology. This dataset contains: (1) demographic structure of samples and Guangzhou City. (2) raw data and direct standardization results of selection rate of safety perception maps. (3) Friedman test results of safety perception maps of three income groups. (4) Negative binomial regression results for the relationship between environmental factors and risk perception of three income groups. (5) spatial Guangzhou urban safety perception. The dataset is archived in .xlsx, .shp and .txt data formats, and consists of 10 data files with data size of 137 KB (Compressed to one single file with 59.2 KB). The analysis paper based on the dataset will be coordinated with Acta Geographica Sinica to be published at Vol.78, No.6, 2023.
Foundation Item：
National Natural Science Foundation of China (41871148, 42271234, 42001171)
Data Citation：
LIAO Yitong, ZHOU Suhong*, XIAO Luzi. Dataset of Guangzhou Urban Safety Perception of Different Income Groups (2016)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2023. https://doi.org/10.3974/geodb.2023.05.09.V1.
References：
[1] Liu, X., Xiao, H., Wang, X., et al. Geographical research on sense of safety: Comprehensive understanding, application and prospects based on place [J]. Human Geography, 2018, 33(5): 38-45.
[2] Jin, H. Interpretation of 2018 national time use survey bulletin [J]. China Statistics, 2019(2): 7-9.
[3] Lopez, N., Lukinbeal, C. Comparing police and residents' perceptions of crime in a phoenix neighborhood using mental maps in GIS [J]. Yearbook of the Association of Pacific Coast Geographers, 2010, 72(1): 33-55.
[4] Wridt, P. A qualitative GIS approach to mapping urban neighborhoods with children to promote physical activity and child-friendly community planning [J]. Environment and Planning B: Planning and Design, 2010, 37(1): 129-147.
[5] Song, G., Xiao, L., Zhou, S., et al. Impact of residents' routine activities on the spatial-temporal pattern of theft from person [J]. Acta Geographica Sinica, 2017, 72(2): 356-367.
[6] Xu, C., Liu, L., Zhou, S., et al. Spatial heterogeneity of micro-spatial factors' effects on street robberies: A case study of DP peninsula [J]. Geographical Research, 2017, 36(12): 2492-2504.
[7] Chen, P., Guo, Z., Hu, L. Statistical methods for comparing two diagnostic tests [J]. Chinese Journal of Health Statistics, 1990, 7(2): 22-25.
[8] Zhao, P., Kwan, M., Zhou, S. The uncertain geographic context problem in the analysis of the relationships between obesity and the built environment in Guangzhou [J]. International Journal of Environmental Research and Public Health, 2018, 15(2): 308.
[9] Guangzhou Statistical Bureau, Survey Office of the National Bureau of Statistics in Guangzhou. Guangzhou Statistical Yearbook 2010 [M]. Beijing: China Statistics Press, 2010.
[10] Guangzhou Statistical Bureau, Survey Office of the National Bureau of Statistics in Guangzhou. Guangzhou Statistical Yearbook 2020 [M]. Beijing: China Statistics Press, 2020.
Data Product:
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| 1 |
GZSafetyPerception2016.rar |
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