Volume 7 , Issue 5 , October 2021 , Pages: 122 - 131
Analysis on Influencing Factors of Residents' Satisfaction with Waste Classification Effect in Beijing
Han Song, Data Science and Analytics, Beijing Wuzi University, Beijing, China
Li Haoyu, Data Science and Analytics, Beijing Wuzi University, Beijing, China
Received: Sep. 23, 2021;       Accepted: Oct. 14, 2021;       Published: Oct. 21, 2021
DOI: 10.11648/j.ijdsa.20210705.12        View        Downloads  
Abstract
This survey aims to explore the evaluation of influencing factors of Beijing residents' satisfaction with the effect of waste classification since the implementation of the regulations. The questionnaire was distributed to all residents in Beijing by means of probability and non-probability sampling. Sixteen districts and counties in Beijing were divided into five major districts according to their functions as first-level sampling units. Finally, a total of 1307 questionnaires were collected to explore the influencing factors of residents' satisfaction with waste classification with the help of random forest model. On this basis, ten influencing factors affecting residents' satisfaction with waste classification were found. At the same time, combined with the suggestions given by residents on waste classification in the questionnaire, the effective information is intuitively observed through the text analysis results to see what factors improve residents' satisfaction with waste classification. Through the above research, we find that the residents' cognitive level of waste classification and the evaluation of the implementation of waste classification policies are the main reasons for the low residents' satisfaction with waste classification. In addition, communities have timely formulas for waste classification policies, clear rewards and punishments, and solve the problems of weak publicity and lax supervision to improve residents' satisfaction in waste classification.
Keywords
Waste Classification, Classification Effect Satisfaction, Random Forests, The Text Analysis
To cite this article
Han Song, Li Haoyu, Analysis on Influencing Factors of Residents' Satisfaction with Waste Classification Effect in Beijing, International Journal of Data Science and Analysis. Vol. 7, No. 5, 2021, pp. 122-131. doi: 10.11648/j.ijdsa.20210705.12
Copyright
Copyright © 2021 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
References
[ 1 ]
Li Wei, Wang Zhihao, Liu Xiaoguang. Influence mechanism of publicity and education on urban residents' intention of waste classification - The mediating role of environmental emotion and the moderating role of moral identity [J]. Arid land resources and environment, 2021, 35 (03): 21-28.
[ 2 ]
Hu Changchun, Ning Changhui. For "I" or "we"? - Research on the influence of different types of waste classification propaganda on waste classification behavior intention [J]. Prediction, 2021, 40 (02): 9-16.
[ 3 ]
Chen Jian, Lin Weibin, Li Yujun. An empirical study on the willingness and behavior of waste classification - Take Guangzhou as an example [J]. City watch, 2020 (01): 133-143.
[ 4 ]
Xu Qianqian, Wang Chengjun, Zhang Shuhe. Influence of household participation on the effect of rural household waste classification and treatment [J]. Journal of Agricultural Resources and Environment, 2021, 38 (02): 223-231.
[ 5 ]
Wang Qiqi. Effect evaluation and development strategy of Waste classification in China - Take Shanghai universities as an example [J]. Market weekly, 2020, 33 (10): 127-130.
[ 6 ]
Zhao Junqing. Exploration of application of standard curve method to effect evaluation of household waste classification [J]. Comprehensive utilization of resources in China, 2021, 39 (01): 51-55.
[ 7 ]
Musee, L. Lorenzen, C. Aldrich. New methodology for hazardous waste classification using fuzzy set theory Part I. Knowledge acquisition [J]. N. Musee et al. / Journal of Hazardous Materials 154, 2008, 1040-1051.
[ 8 ]
Seong-Rin Lim, Daniel Kang, Oladele A. Ogunseitan, Julie M. Schoenung. Potential Environmental Impacts of Light-Emitting Diodes (LEDs): Metallic Resources, Toxicity, and Hazardous Waste Classification [J]. Environ. Sci. Technol, 2011, 45, 320-327.
[ 9 ]
R. Weltens, K. Deprez, L. Michiels. Validation of Microtox as a first screening tool for waste classification [J]. Waste Management, 2014.
[ 10 ]
Qu Xiaoyan, Zhang Linnan, Yang Lei, Li Zhenshan. Beijing municipal Solid waste classification and treatment system - Problem diagnosis [J]. Environmental pollution and prevention, 2009, (05).
[ 11 ]
Deng Jun, Xu Wanying, Zhou Chuanbin. Research on the effective investigation and long-term management mechanism of sorted collection of Municipal solid waste in Beijing [J]. Environmental science, 2013, (01).
[ 12 ]
Wang Chaohua. The problems of waste classification in Beijing area are analyzed and the countermeasures are suggested [J]. Economic, 2018, (02).
[ 13 ]
Yu Dian, Wang Chong, Shi Ruyue, Yang Junxue. Study on the present situation and countermeasures of rural MSW treatment in Beijing [J]. Modern rural science and technology, 2020, (08).
Browse Journals by Subject