AEPH
Home > Economic Society and Humanities > Vol. 1 No. 10 (ESH 2024) >
Study on the Relationship Between Urban Services Facilities and Carbon Emissions in Guangzhou Based on Multi-Source Data
DOI: https://doi.org/10.62381/E244A03
Author(s)
Chen Songyang
Affiliation(s)
South China Agricultural University, Guangzhou, Guangdong, China
Abstract
Large cities are often faced with serious carbon emission problems caused by rapid urban expansion, and it is urgent to optimize urban services facilities while achieving energy conservation and emission reduction. Based on the original point text data of various service facilities in Guangzhou and the grid data of monthly average carbon emissions in 2022, this study explores the relationship between urban services facilities and carbon emissions in Guangzhou by using spatial autocorrelation method and Geodetector.The results show that urban carbon emissions are closely related to the spatial distribution of urban services facilities, and traffic service facilities have the greatest influence on the spatial distribution of urban carbon emissions. Based on these research findings, corresponding recommendations and measures for effectively reducing carbon emissions in the development of urban service infrastructure are proposed.
Keywords
Urban Services Facilities; Carbon Emissions; Spatial Distribution
References
[1] Wang Jun, Liang Yiyun, Xu Su. Study on the spatial layout of public service facilities in new urban districts: a case study of Shanghai New Jiangwan City [J]. Urban Construction Theory Research (Electronic Edition), 2024, (18): 38-42 + 37. DOI: 10. 19569/J. CNKI. Cn119313/Tu. 202418013. [2] Luan Qingwei. Research on the Accessibility of Public Services in Island Cities from the Perspective of Public Value: Spatial Data Analysis of Zhoushan Public Sports Facilities [J]. Journal of Zhejiang Ocean University (Humanities Edition), 2024, 41 (03): 45-53 + 77. [3] Wang Xi. Analysis on the layout strategy of urban public service facilities from the perspective of territorial spatial planning [J]. Urban Construction Theory Research (Electronic Edition), 2024, (17): 25-27. DOI: 10. 19569/J. CNKI. Cn119313/Tu. 202417009. [4] Zou You, Wa Ruixin, He Yu, et al. Research on Spatial Differentiation and Influencing Factors of Public Service Facilities in Big Cities Based on Multi-source Data: a Case Study of Central Urban Area of Wuhan [J/OL]. Journal of Hubei University (Natural Science Edition), 1-15[2024-07-27].http://kns.cnki.net/kcms/detail/42.1212.N.20240524.1610.006.html. [5] Wei W ,Zihao Z ,Jun C , et al.Analysis of Location Selection of Public Service Facilities Based on Urban Land Accessibility[J].International Journal of Environmental Research and Public Health,2021,18(2):516-. [6] Liu Yang. Research on Optimization Strategy of Public Service Facilities Allocation under Urban Renewal [J]. Engineering Technology Research, 2024, 2 (8): [7] Hao L ,Jianshu D ,Yidan W , et al.The Spatial Patterns of Service Facilities Based on Internet Big Data: A Case Study on Chengdu[J].Mathematical Problems in Engineering,2021,2021 [8] Sun Yudong, Mao Dehua, Qiu Dongdong. Spatio-temporal evolution characteristics and multi-scenario simulation of carbon emissions from land use in Changsha City [J/OL]. Journal of Agricultural Resources and Environment, 1-20 [2024-08-22]. Https://doi.org/10.13254/j.jare.2023.0805. [9] ZHOU Hang, ZHAO Xianchao. Spatial Variability of Carbon Emissions in Hunan Province at County Scale and Its Influencing Factors [J]. Journal of Earth Sciences and Environment, 2024, 46 (02): 196-210. DOI: 10. 19814/J. Jese. 2023. 12007. [10] ZHang Zhiyang, yin Haikui, LI Xinwang, et al.Spatial pattern and coordination zoning of carbon emission from land use at county level in Hebei Province [J].Journal of Jiangsu Agricultural Sciences, 2024,40 (02): 281-292. [11] Xu Jiajun, Yang Xiaojun, Li Rui. Spatial and temporal heterogeneity of carbon emission characteristics and influencing factors of urban residents in China [J/OL]. China Environmental Science, 1-13[2024-08-22].https://doi.org/10.19674/j.cnki.issn1000-6923.20231211.007. [12] Zhang Yao, Zhang Yuxin, Zhang Yongjian, et al. Spatialization of Carbon Emissions in Xi'an Based on Luojia-1 Night Light Data [J]. Remote Sensing Technology and Application, 2023, 38 (04): 869-879. [13] Wang Jing, Li Yurui. Urban Carbon Effect and Spatial Distribution Characteristics Based on Land Use Pattern [J]. Statistics and Decision Making, 2023, 39 (11): 72-77. DOI: 10. 13546/J. CNKI. Tjyjc. 2023.11.012. [14] Li Yixian. Study on Spatial Pattern Characteristics of Carbon Emissions and Low-carbon Spatial Planning Strategies in Wuhan Metropolitan Area [D]. Huazhong University of Science and Technology, 2023. DOI: 10. 27157/d. CNKI. GHz Ku. 2023. 003188. [15] Qi Qiangqiang, Xu Zhanjun, Li Nayan, et al.Study on the spatial and temporal distribution of carbon emissions and its affecting factors in the Yellow River Basin [J].Environmental Pollution and Prevention, 2023,45 (04): 577-582.DOI: 10.15985/J. CN ki. 1001-3865.2023.04.023. [16] Lin Xuezhuang, Ao Surina.Discussion on carbon emission space of construction land in Guangxi based on night light data [J].Southern Natural Resources, 2023, (01): 52-56. [17] Zhang Jingni, Wang Huili. Spatial Characteristics Analysis of Carbon Emissions in Shaanxi Province Based on City Scale [J]. Energy and Environmental Protection, 2022, 36 (02): 96-103. [18] Li Feng. Analysis on the Current Situation of Urban-Rural Integration in the Differences between Urban and Rural Areas in Guangzhou [J]. Industry and Technology Forum, 2012, 11 (05): 38-40. [19] Chen Humei, Wang Shifu, Deng Zhaohua. Research on the Spatial Distribution Characteristics of Primary Medical Facilities from the Perspective of Health Resilience — Taking the Central Urban Area of Guangzhou as an Example [C]//China Urban Planning Society. People's City, Planning Enabling — Proceedings of the 2022 Annual Conference on Urban Planning in China (01 Urban Safety and Disaster Prevention Planning). Department of Urban and Rural Planning, School of Architecture, South China University of Technology; School of Architecture, State Key Laboratory of Subtropical Architecture, South China University of Technology;, 2023:10. DOI: 10. 26914/C. Cnkihy. 2023. 042803. [20] Liao Shunyi. Research on Spatial Equalization Strategy of Public Service Facilities in Guangzhou under the New Round of Master Planning [C]//China Urban Planning Society, Hangzhou Municipal People's Government. Sharing and Quality — — Proceedings of 2018 China Urban Planning Annual Conference (11 Urban Master Planning). Guangzhou Urban Planning Survey and Design Institute;, 2018:14. [21] Zhang Shurui, Xie Xiaomin, Zhang Tingting, et al. Study on the low-carbon transformation path of China's road transport sector under the goal of "double carbon" [J/OL]. Journal of Environmental Sciences, 1-13 [2024-09-20]. Https://doi.org/10. 13671/j.hjkxxb.2024.027.
Copyright @ 2020-2035 Academic Education Publishing House All Rights Reserved