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熵及其在城市系统中的应用。

Entropy and its Application to Urban Systems.

作者信息

Purvis Ben, Mao Yong, Robinson Darren

机构信息

Laboratory for Urban Complexity and Sustainability, University of Nottingham, Nottingham NG7 2RD, UK.

School of Physics and Astronomy, University of Nottingham, Nottingham NG7 2RD, UK.

出版信息

Entropy (Basel). 2019 Jan 12;21(1):56. doi: 10.3390/e21010056.

Abstract

Since its conception over 150 years ago, entropy has enlightened and confused scholars and students alike, from its origins in physics and beyond. More recently, it has been considered within the urban context in a rather eclectic range of applications. The entropy maximization approach, as applied by Alan Wilson and others from the 1960s, contrasts with considerations from the 1990s of the city as a thermodynamic dissipative system, in the tradition of Ilya Prigogine. By reviewing the relevant mathematical theory, we draw the distinction among three interrelated definitions of entropy, the thermodynamic, the figurative, and the information statistical. The applications of these definitions to urban systems within the literature are explored, and the conflation of the thermodynamic and figurative interpretations are disentangled. We close this paper with an outlook on future uses of entropy in urban systems analysis.

摘要

自150多年前概念诞生以来,熵既启发了学者和学生,也让他们感到困惑,其起源于物理学及其他领域。最近,它在城市环境中有着相当广泛的应用。20世纪60年代艾伦·威尔逊等人应用的熵最大化方法,与20世纪90年代受伊利亚·普里戈金传统影响将城市视为热力学耗散系统的观点形成对比。通过回顾相关数学理论,我们区分了熵的三个相互关联的定义:热力学定义、比喻性定义和信息统计学定义。探讨了这些定义在文献中对城市系统的应用,并理清了热力学解释和比喻性解释的混淆之处。本文最后展望了熵在城市系统分析中的未来用途。

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本文引用的文献

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Axiomatic Relation between Thermodynamic and Information-Theoretic Entropies.热力学熵与信息论熵之间的公理关系。
Phys Rev Lett. 2016 Dec 23;117(26):260601. doi: 10.1103/PhysRevLett.117.260601. Epub 2016 Dec 22.
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Entropy, complexity, and spatial information.熵、复杂性与空间信息。
J Geogr Syst. 2014;16(4):363-385. doi: 10.1007/s10109-014-0202-2. Epub 2014 Sep 24.
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Thermodynamics of urban population flows.城市人口流动的热力学
Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Dec;86(6 Pt 2):066105. doi: 10.1103/PhysRevE.86.066105. Epub 2012 Dec 5.
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Science and complexity.科学与复杂性。
Am Sci. 1948 Oct;36(4):536-44.

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