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 |
Waste Classification, Classification Effect Satisfaction, Random Forests, The Text Analysis
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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
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
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
@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} }
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 -