Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5481674 | Journal of Cleaner Production | 2017 | 34 Pages |
Abstract
The operating efficiency, operating performance and service quality of a drainage enterprise are determined by its sustainable development level. Sustainable development is a dynamic process affected by many factors and their complicated interaction. Compared with regular assessment methods, which are usually static and discontinuous, this research applies the system dynamics (SD) method to study the dynamic process that controls the sustainable development of a drainage enterprise. This assessment can be achieved through building a dynamic feedback mechanism among operable factors, simulating the dynamic evolution process of each effect factor within a continuous time and combining a comprehensive assessment model. A case study is presented that can help drainage enterprise stakeholders to strategically understand the possible effects of policy implementation. In addition, three different sustainable development scenarios are presented, which were designed and simulated through the setting the key variables. These three variables are investment in environmental protection, wastewater treatment fees (yuan/m3) and the growth rate of wastewater treatment capacity. The assessment results show that long-term sustainable development of a drainage enterprise is best served by improving the growth rate of wastewater treatment capacity compared to the other variables. The SD method has proven to be reliable for the dynamic assessment of drainage enterprise. This work provides a model that combines system dynamics with comprehensive assessment for drainage enterprise sustainability evaluation and identification of the most significant factors. The results can offer critical information to stakeholders and provide a method to implement the best practices for the management of drainage enterprises.
Related Topics
Physical Sciences and Engineering
Energy
Renewable Energy, Sustainability and the Environment
Authors
Yong Zhang, Tingsheng Zhao, Zhengzhu Zhang, Jun Wan, Xiaonan Feng, Xiangmin Liang, Aijiao Zhou,