Computationally Networked Urbanism and Data-driven Planning Technologies in Smart and Environmentally Sustainable Cities

Q1 Arts and Humanities

Geopolitics, History, and International Relations Pub Date : 2021-01-01 DOI:10.22381/GHIR13120212

Helen Poliak Milos Konecny Vladimir Cooper

引用次数: 7

Abstract

Based on an in-depth survey of the literature, the purpose of the paper is to explore computationally networked urbanism and data-driven planning technologies in smart and environmentally sustainable cities. Using and replicating data from Bentley, CompTIA, Deloitte, ICMA, KPMG, PTI, RICS, SCC, and The University of Adelaide, we performed analyses and made estimates regarding the implementation of smart city technologies. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

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智能和环境可持续城市中的计算网络化城市主义和数据驱动规划技术

在深入研究文献的基础上，本文的目的是探索智能和环境可持续城市中的计算网络化城市主义和数据驱动规划技术。我们使用并复制了宾利、CompTIA、德勤、ICMA、毕马威、PTI、RICS、SCC和阿德莱德大学的数据，对智慧城市技术的实施进行了分析和估计。在适当情况下，对已完成调查的汇编数据进行了描述性统计。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Geopolitics, History, and International Relations Arts and Humanities-History

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期刊介绍： Geopolitics, History, and International Relations publishes mainly original empirical research and review articles focusing on hot emerging topics, e.g. digital diplomacy, online political participation, data activism, fake social media news, algorithmic governance, computational politics, Internet terrorism, autonomous weapons systems, virtual history, innovative data-driven smart urban ecosystems, etc. This journal considers only manuscripts having a high integrative value in the current Scopus- and Web of Science-indexed literature.