Urban shrinkage is becoming a major global challenge and causing a series of challenges to the sustainable urban development. In this study, a system dynamics-based model was proposed and used to dynamically evaluate the sustainability of the urban development under five different policy scenarios in response to population shrinkage. A model was applied to socioeconomic data from eight shrinking cities in Northeast China from 2002 to 2017 to investigate the past and future trends in their urban development sustainability from 2002 to 2035. The results show that the development sustainability indices of the eight cities increased overall up to 2017. However, some then peaked and are now declining. The model predicts that the cities would vary considerably in their development sustainability across the five different scenarios. For example, with smart shrinkage policies, cities are predicted to sustain their current levels of development sustainability; meanwhile, with anti-shrinkage policies, where growth-oriented development is pursued, some cities are also predicted to see improvements in sustainability. The present study provides a technical approach to simulating and investigating the circular feedback mechanism between components of a city system and effectively correlating population shrinkage with urban development sustainability across different policy responses to urban shrinkage.
No takes yet. Share an insight, caveat, or question.
Zhenshan Yang (2019) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: