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

Received: 23 September 2021     Accepted: 14 October 2021     Published: 21 October 2021
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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), 2021. Published by Science Publishing Group

Keywords

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

References
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[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.
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  • 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

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    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

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    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

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  • @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}
    }
    

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  • 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  - 

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Author Information
  • Data Science and Analytics, Beijing Wuzi University, Beijing, China

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

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