通过城市科学增强城市治理能力:全球城市系统的多尺度动态
Empowering Urban Governance through Urban Science: Multi-scale Dynamics of Urban Systems Worldwide
摘要:
当前的城市科学可以为未来的城市政策提供有益的基础,但前提是这些建议已经通过对世界各种情况的正确观察而得到证实。然而,城市演变的国际比较往往产生不确定的结果,因为国家领土框架并不总是与城市系统的动态完全一致。我们建议提供各种城市系统的组成,以便更好地考虑到超越区域和国家领土边界的城市的动态网络。为解释城市规模和城市增长分布而设想的不同模型,使人们能够在城市和城市系统层面上观察城市轨迹之间建立对应关系。我们测试的有效性和代表性的几个动态模型的复杂的城市系统和它们的变化在世界各地,在城市系统的宏观尺度。该方法的独创性在于将空间相互作用和演化路径依赖视为城市实体一般行为的主要特征。所研究的模型包括不同的和互补的过程,如经济交流,创新和物理网络流的扩散。复杂系统的动态在原则上是不可预测的,但将其与人口、收入和资源组成部分联系起来,可能有助于最大限度地减少预测误差。
英文摘要:
The current science of cities can provide a useful foundation for future urban policies, provided that these proposals have been validated by correct observations of the diversity of situations in the world. However, international comparisons of the evolution of cities often produce uncertain results because national territorial frameworks are not always in strict correspondence with the dynamics of urban systems. We propose to provide various compositions of systems of cities to better take into account the dynamic networking of cities that go beyond regional and national territorial boundaries. Different models conceived for explaining city size and urban growth distributions enable to establish a correspondence between urban trajectories when observed at the level of cities and systems of cities. We test the validity and representativeness of several dynamic models of complex urban systems and their variations across regions of the world, at the macroscopic scale of systems of cities. The originality of the approach is in considering spatial interaction and evolutionary path dependence as major features in the general behavior of urban entities. The models studied include diverse and complementary processes, such as economic exchanges, diffusion of innovations and physical network flows. Complex systems' dynamics is in principle unpredictable, but contextualizing it regarding demographic, income and resource components may help in minimizing the forecasting errors.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。