Analysis on Influencing Factors of Residents' Satisfaction with Waste Classification Effect in Beijing

Han Song; Li Haoyu

doi:doi:10.11648/j.ijdsa.20210705.12

| Peer-Reviewed

Analysis on Influencing Factors of Residents' Satisfaction with Waste Classification Effect in Beijing

Han Song, Li Haoyu

Published in International Journal of Data Science and Analysis (Volume 7, Issue 5)

Received: 23 September 2021 Accepted: 14 October 2021 Published: 21 October 2021

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

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.

Published in	International Journal of Data Science and Analysis (Volume 7, Issue 5)
DOI	10.11648/j.ijdsa.20210705.12
Page(s)	122-131
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Waste Classification, Classification Effect Satisfaction, Random Forests, The Text Analysis

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).

Cite This Article

Plain Text BibTeX RIS

APA Style

Han Song, Li Haoyu. (2021). Analysis on Influencing Factors of Residents' Satisfaction with Waste Classification Effect in Beijing. International Journal of Data Science and Analysis, 7(5), 122-131. https://doi.org/10.11648/j.ijdsa.20210705.12

Copy | Download

ACS Style

Han Song; Li Haoyu. Analysis on Influencing Factors of Residents' Satisfaction with Waste Classification Effect in Beijing. Int. J. Data Sci. Anal. 2021, 7(5), 122-131. doi: 10.11648/j.ijdsa.20210705.12

Copy | Download

AMA Style

Han Song, Li Haoyu. Analysis on Influencing Factors of Residents' Satisfaction with Waste Classification Effect in Beijing. Int J Data Sci Anal. 2021;7(5):122-131. doi: 10.11648/j.ijdsa.20210705.12

Copy | Download

@article{10.11648/j.ijdsa.20210705.12,
  author = {Han Song and Li Haoyu},
  title = {Analysis on Influencing Factors of Residents' Satisfaction with Waste Classification Effect in Beijing},
  journal = {International Journal of Data Science and Analysis},
  volume = {7},
  number = {5},
  pages = {122-131},
  doi = {10.11648/j.ijdsa.20210705.12},
  url = {https://doi.org/10.11648/j.ijdsa.20210705.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdsa.20210705.12},
  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.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Analysis on Influencing Factors of Residents' Satisfaction with Waste Classification Effect in Beijing
AU  - Han Song
AU  - Li Haoyu
Y1  - 2021/10/21
PY  - 2021
N1  - https://doi.org/10.11648/j.ijdsa.20210705.12
DO  - 10.11648/j.ijdsa.20210705.12
T2  - International Journal of Data Science and Analysis
JF  - International Journal of Data Science and Analysis
JO  - International Journal of Data Science and Analysis
SP  - 122
EP  - 131
PB  - Science Publishing Group
SN  - 2575-1891
UR  - https://doi.org/10.11648/j.ijdsa.20210705.12
AB  - 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.
VL  - 7
IS  - 5
ER  -

Copy | Download

Author Information

Han Song

Data Science and Analytics, Beijing Wuzi University, Beijing, China
Li Haoyu

Data Science and Analytics, Beijing Wuzi University, Beijing, China

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Han Song, Li Haoyu. (2021). Analysis on Influencing Factors of Residents' Satisfaction with Waste Classification Effect in Beijing. International Journal of Data Science and Analysis, 7(5), 122-131. https://doi.org/10.11648/j.ijdsa.20210705.12

Copy | Download

ACS Style

Han Song; Li Haoyu. Analysis on Influencing Factors of Residents' Satisfaction with Waste Classification Effect in Beijing. Int. J. Data Sci. Anal. 2021, 7(5), 122-131. doi: 10.11648/j.ijdsa.20210705.12

Copy | Download

AMA Style

Han Song, Li Haoyu. Analysis on Influencing Factors of Residents' Satisfaction with Waste Classification Effect in Beijing. Int J Data Sci Anal. 2021;7(5):122-131. doi: 10.11648/j.ijdsa.20210705.12

Copy | Download

@article{10.11648/j.ijdsa.20210705.12,
  author = {Han Song and Li Haoyu},
  title = {Analysis on Influencing Factors of Residents' Satisfaction with Waste Classification Effect in Beijing},
  journal = {International Journal of Data Science and Analysis},
  volume = {7},
  number = {5},
  pages = {122-131},
  doi = {10.11648/j.ijdsa.20210705.12},
  url = {https://doi.org/10.11648/j.ijdsa.20210705.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdsa.20210705.12},
  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.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Analysis on Influencing Factors of Residents' Satisfaction with Waste Classification Effect in Beijing
AU  - Han Song
AU  - Li Haoyu
Y1  - 2021/10/21
PY  - 2021
N1  - https://doi.org/10.11648/j.ijdsa.20210705.12
DO  - 10.11648/j.ijdsa.20210705.12
T2  - International Journal of Data Science and Analysis
JF  - International Journal of Data Science and Analysis
JO  - International Journal of Data Science and Analysis
SP  - 122
EP  - 131
PB  - Science Publishing Group
SN  - 2575-1891
UR  - https://doi.org/10.11648/j.ijdsa.20210705.12
AB  - 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.
VL  - 7
IS  - 5
ER  -

Copy | Download