Essential Means for Urban Computing: Specification of Web-Based Computing Platforms for Urban Planning, a Hitchhiker's Guide

Essential Means for Urban Computing: Specification of Web-Based Computing Platforms for Urban Planning, a Hitchhiker's Guide
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城市计算的基本手段:基于网络的城市规划计算平台规范,搭便车指南

DOI:
10.17645/up.v3i1.1299
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发表时间:
2018
期刊:
Environment and Planning B: Urban Analytics and City Science
影响因子:
--
通讯作者:
K. Ohori
K. Ohori
中科院分区:
--
文献类型:
--
作者:
Pirouz Nourian;Carlos Martinez;K. Ohori

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本文概述了用于城市数据分析和计算城市规划实践的基于网络的计算平台的规范。目前有多种工具和平台可用于城市计算实践,包括科学计算语言、交互式web语言、数据共享平台以及许多桌面计算环境,例如GIS软件应用程序。我们已经审查了一系列技术,考虑到它们在城市规划和城市数据分析中的潜力和适用性。这项审查不仅基于编程语言的能力等技术因素,而且还基于开发和共享复杂数据处理工作流程的便利性。基于web的计算平台领域目前正处于快速发展阶段,其变化太大,难以预测;因此,在本文中,我们将从城市规划的角度关注需求和潜力的规范,而不是推测计算平台或编程语言的命运。本文介绍了一些有前景的计算技术,地理空间数据处理的基本数据模型和运算符的技术规范,以及理想城市计算平台的数学模型。
This article provides an overview of the specifications of web-based computing platforms for urban data analytics and computational urban planning practice. There are currently a variety of tools and platforms that can be used in urban computing practices, including scientific computing languages, interactive web languages, data sharing platforms and still many desktop computing environments, e.g., GIS software applications. We have reviewed a list of technologies considering their potential and applicability in urban planning and urban data analytics. This review is not only based on the technical factors such as capabilities of the programming languages but also the ease of developing and sharing complex data processing workflows. The arena of web-based computing platforms is currently under rapid development and is too volatile to be predictable; therefore, in this article we focus on the specification of the requirements and potentials from an urban planning point of view rather than speculating about the fate of computing platforms or programming languages. The article presents a list of promising computing technologies, a technical specification of the essential data models and operators for geo-spatial data processing, and mathematical models for an ideal urban computing platform.
DOI: 10.1140/epjst/e2012-01703-3
发表时间: 2012-11-01
影响因子: 2.8
作者:
Batty, M.;Axhausen, K. W.;Portugali, Y.
通讯作者: Portugali, Y.