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The SolVES Model based Rural Social Value Index Distribution Dataset: Taking the Baqiao Town, Yangzhong City, Jiangsu Province of China as an Example (2022)


ZHANG Zhicheng1FANG Bin*1ZHANG Hongjuan2WANG Yirong3WANG Chongjing1WEI Siyu1
1 School of Geography Science,Nanjing Normal University,Nanjing 210023,China2 Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization Jointly Built by Henan Province and Ministry of Education,Henan University,Kaifeng 475001,China3 School of Urban and Environmental Sciences,Northwest University,Xi’an 710127,China

DOI:10.3974/geodb.2024.10.10.V1

Published:Oct. 2024

Visitors:504       Data Files Downloaded:5      
Data Downloaded:5.42 MB      Citations:

Key Words:

rural social value,value index,pattern,Baqiao town

Abstract:

Taking the Baqiao Town of Yangzhong City of Jiangsu Province, one of the developed rural regions in China, as an example, the authors measured the rural social value index using the SolVES model based on the field research carried out in 2022, and obtained the dataset of rural social value index distribution in Baqiao Town of Yangzhong City. The dataset includes the following data: (1) geog-location of the town; (2) the spatial distribution of value indexes for aesthetic, recreational, economic, cultural, future, historical and comprehensive values; (3) the maximum value index and spatial clustering characteristics of various social values; (4) the contribution rate of environmental variables to the spatial distribution pattern of social value index; and (5) the average social value index of each land use type. The dataset is archived in .shp, .tif and .xls formats, and consists of 49 data files with data size of 31.9 MB (Compressed into one file with 1.08 MB). The analysis paper based on the dataset was published in the Acta Geographica Sinica, Vol. 79, No. 10, 2024.

Foundation Item:

National Natural Science Foundation of China (42071229, 41671174); Jiangsu Province (164320H116, KYCX23_1637)

Data Citation:

ZHANG Zhicheng, FANG Bin*, ZHANG Hongjuan, WANG Yirong, WANG Chongjing, WEI Siyu. The SolVES Model based Rural Social Value Index Distribution Dataset: Taking the Baqiao Town, Yangzhong City, Jiangsu Province of China as an Example (2022)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2024. https://doi.org/10.3974/geodb.2024.10.10.V1.

References:


     [1] Dai, R. L., Dou, H. J., Zhang, J., et al. Classification and path of rural revitalization from the perspective of rural multi-value: A case study of Chongqing Municipality [J]. Resources Science, 2023, 45(2): 450-463
     [2] Guo, Y. Z., Liu, Y. S. The process of rural development and paths for rural revitalization in China [J]. Acta Geographica Sinica, 2021, 76(6): 1408-1421.
     [3] Qu, R. P., Wu, Y. C., Chen, J., et al. Research progress and prospect of rural value theory and method [J]. Journal of China Agricultural Resources and Regional Planning, 2022, 43(4): 139-149.
     [4] Zhang, H. J., Zhang, Z. C., Dong, G. P., et al. Identifying the supply-demand mismatches of ecorecreation services to optimize sustainable land use management: A case study in the Fenghe River watershed, China [J]. Ecological Indicators, 2021, 133: 108424. DOI: 10.1016/j.ecolind.2021.108424.
     [5] Gao, Y., Liu, K., Ma, Q., et al. Assessment of social value of ecosystem services based on SolVES model and visitor’ s preference: A case study of Taibai Mountain National Forest Park [J]. Chinese Journal of Ecology, 2017, 36(12): 3564-3573.
     [6] Zhao, Q. Q., Li, J., Liu, J. Y., et al. Assessment and analysis of social values of cultural ecosystem services based on the SolVES model in the Guanzhong-Tianshui Economic Region [J]. Acta Ecologica Sinica, 2018, 38(10): 3673-3681.
     [7] Gu, X. K., Xie, B. M., Zhang, Z. F., et al. Rural multifunction in Shanghai suburbs: Evaluation and spatial characteristics based on villages [J]. Habitat International, 2019, 92: 102041. DOI: 10.1016/j.habitatint.2019.102041.
     [8] Sandham, L. A., Chabalala, J. J., Spaling, H. H. Participatory rural appraisal approaches for public participation in EIA: Lessons from South Africa [J]. Land, 2019, 8(10): 150. DOI: 10.3390/land8100150.
     

Data Product:

ID Data Name Data Size Operation
1 RuralSocialValueBaqiao.rar 1109.93KB
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