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Evaluation of Urban Environmental and Economic Coordination Based on Discrete Mathematical Model

Author

Listed:
  • Chenbin Dou
  • Lan Zheng
  • Wenjuan Wang
  • Mohammad Shabaz
  • Dr. Dilbag Singh

Abstract

The urban ecological environment is the material basis and condition for human beings to engage in social and economic activities and the supporting system for the formation and sustainable development of cities. With the acceleration of urbanization and industrialization, urban living environments and economic development have become the focus of people’s attention. This leads to the necessity of studying how to improve the quality of the urban living environment and promote the harmonious coexistence of population, natural environment, and social economy. Traditional methods focus on multiple regression models to evaluate the urban environmental and economic harmony, but this method does not consider the weight of each index, resulting in poor accuracy of the evaluation results. This paper proposes a discrete mathematical model to design the evaluation index and evaluation system of urban environmental and economic coordination. It calculates the weight of each index; carrying capacity of the urban environment, the value of each environmental factor, and the comprehensive value of the environment is determined. The static evaluation and dynamic evaluation are used to evaluate the coordination of the urban environmental economy. The experimental results show that the designed evaluation method of urban environmental economic coordination has high accuracy and effectively improves the reliability and evaluation time.

Suggested Citation

  • Chenbin Dou & Lan Zheng & Wenjuan Wang & Mohammad Shabaz & Dr. Dilbag Singh, 2021. "Evaluation of Urban Environmental and Economic Coordination Based on Discrete Mathematical Model," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-11, May.
  • Handle: RePEc:hin:jnlmpe:1566538
    DOI: 10.1155/2021/1566538
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    Cited by:

    1. Subhash Tatale & V. Chandra Prakash, 2022. "Combinatorial test case generation from sequence diagram using optimization algorithms," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 642-657, March.
    2. Anshul Gupta & Pravin Srinath, 2022. "A recommender system based on collaborative filtering, graph theory using HMM based similarity measures," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 533-545, March.
    3. Arber Hoti & Lulzim Krasniqi, 2022. "Impact of international financial reporting standards adoption on the perception of investors to invest in small-to-medium enterprise adopting transparency in disclosure policies," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 506-515, March.
    4. Qian Wang & Deepika Koundal, 2022. "Dynamics of food nutrient loss and prediction of nutrient loss under variable temperature conditions," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 225-235, March.

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