Should big cities grow? Scenario-based cellular automata urban growth modeling and policy applications

摘要: The formation of ‘Urban Networks’ has become a wide-spread phenomenon around the world. In study metropolitan regions, there are competing or diverging views about management and control environmental land-use factors as well scales arrangements settlements. Especially in China, these matters alongside regulatory aspects, infrastructure applications, resource allocations, important because population concentrations overlapping urban areas with other land resources. On hand, increasing sophistication models operating on iterative computational power widely-available spatial information analytical techniques make it possible to simulate investigate distribution territories at regional scale. This research applies scenario-based Cellular Automata model case Changjiang Delta Region, which produces useful predictive projections within region, using quantitative methods baseline conditions that address issues development. contribution includes improvement computer simulation growth, application form indices evaluate complex conditions, heightened understanding performance an network Region composed big, medium, small-sized cities towns.