Environmental impacts of urban growth from an integrated dynamic perspective: A case study of Shenzhen, South China |
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Authors: | Burak Gü neralp,Karen C. Seto, |
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Affiliation: | aDepartment of Geological and Environmental Sciences, Stanford University, 450 Serra Mall, Braun Hall, Building 320, Stanford, CA 94305-2115, USA;bWoods Institute for the Environment, Encina Modular C, 429 Arguello Way, Stanford, CA 94305-6030, USA |
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Abstract: | China is home to one-fifth of the world's population and that population is increasingly urban. The landscape is also urbanizing. Although there are studies that focus on specific elements of urban growth, there is very little empirical work that incorporates feedbacks and linkages to assess the interactions between the dynamics of urban growth and their environmental impacts. In this study, we develop a system dynamics simulation model of the drivers and environmental impacts of urban growth, using Shenzhen, South China, as a case study. We identify three phases of urban growth and develop scenarios to evaluate the impact of urban growth on several environmental indicators: land use, air quality, and demand for water and energy. The results show that all developable land will be urban by 2020 and the increase in the number of vehicles will be a major source of air pollution. Demand for water and electricity will rise, and the city will become increasingly vulnerable to shortages of either. The scenarios also show that there will be improvements in local environmental quality as a result of increasing affluence and economic growth. However, the environmental impacts outside of Shenzhen may increase as demands for natural resources increase and Shenzhen pushes its manufacturing industries out of the municipality. The findings may also portend to changes other cities in China and elsewhere in the developing world may experience as they continue to industrialize. |
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Keywords: | Urbanization Economic growth Land use change Water demand Air quality Integrated assessment Feedback mechanism Dynamic simulation modeling |
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