<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper focuses on the research object of urban ecological environment governance on the urban community at the micro level, and pays attention to the problem of the realization path of urban community environment governance. The KANO-IPA model is established to study the urban ecological environment and the needs of community residents, and the importance of the survey data is evaluated by combining the theory of rough numbers to construct the community governance path of the urban ecological environment. The model analyzes the ecological environment of City H in Province A, and 10 communities are governed using the governance path constructed in this paper. The coal industry in City H dominates the economic development, and the total particulate emissions in the city will be 107,173.10 tons in 2021, and the contribution of the industrial emissions to the dustfall of heavy metal Ni will be 77.96%, and at the same time, there is a serious problem of arbitrary tampering with the data of ecological governance. The community governance path constructed in this paper achieves about 80% of resident satisfaction in 10 communities in H city. The governance path proposed by this study can be recognized by residents of the community and is expected to improve the ecological environment of the city.</p>
</abstract>

This paper focuses on the research object of urban ecological environment governance on the urban community at the micro level, and pays attention to the problem of the realization path of urban community environment governance. The KANO-IPA model is established to study the urban ecological environment and the needs of community residents, and the importance of the survey data is evaluated by combining the theory of rough numbers to construct the community governance path of the urban ecological environment. The model analyzes the ecological environment of City H in Province A, and 10 communities are governed using the governance path constructed in this paper. The coal industry in City H dominates the economic development, and the total particulate emissions in the city will be 107,173.10 tons in 2021, and the contribution of the industrial emissions to the dustfall of heavy metal Ni will be 77.96%, and at the same time, there is a serious problem of arbitrary tampering with the data of ecological governance. The community governance path constructed in this paper achieves about 80% of resident satisfaction in 10 communities in H city. The governance path proposed by this study can be recognized by residents of the community and is expected to improve the ecological environment of the city.

Exploration of Community Governance Paths in Urban Ecosystems Based on KANO-IPA Modeling

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper focuses on the research object of urban ecological environment governance on the urban community at the micro level, and pays attention to the...

Exploration of Community Governance Paths in Urban Ecosystems Based on KANO-IPA Modeling

Online veröffentlicht: 31. Jan. 2024

Seitenbereich: -

Eingereicht: 20. Dez. 2023

Akzeptiert: 30. Dez. 2023

DOI: https://doi.org/10.2478/amns-2024-0235

Schlüsselwörter
KANO model, IPA model, Rough number theory, Weight calculation, Governance paths

© 2024 Yue Tan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Exploration of Community Governance Paths in Urban Ecosystems Based on KANO-IPA Modeling

Online veröffentlicht: 31. Jan. 2024

Seitenbereich: -

Eingereicht: 20. Dez. 2023

Akzeptiert: 30. Dez. 2023

DOI: https://doi.org/10.2478/amns-2024-0235

SchlüsselwörterKANO model, IPA model, Rough number theory, Weight calculation, Governance paths

© 2024 Yue Tan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
KANO model, IPA model, Rough number theory, Weight calculation, Governance paths