Abstract
Urban development is the result of the interaction between anthropogenic and environmental dimensions. From the perspective of its density, it ranges from high-density populated areas, associated with large cities that concentrate the main economic and social thrust of societies, to low-density populated areas (e.g., rural areas, small–medium-sized cities). Against the backdrop of the new technological and environmental era, this commentary offers insights on how to support spatial planning policies for sustainable urban growth in low-density areas. We propose the integration of technological drivers such as Internet networks, telecommuting, distance-learning education, the use of electric cars, etc. into the complex spatial models to project and thus to identify the best locations for urban development in low-density areas. This understanding can help to mitigate the disparities between high- and low-density populated areas, and to reduce the inequality among regions as promoted in the UN 2030 Agenda for Sustainable Development Goals.
Subject
Nature and Landscape Conservation,Ecology,Global and Planetary Change
Reference121 articles.
1. The varying driving forces of urban expansion in China: Insights from a spatial-temporal analysis
2. Genetic Algorithms
3. Complexity, Cognition and the City;Portugali,2011
4. Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals;Batty,2005
5. The Fractal Geometry of Nature;Mandelbrot,1982
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