Readiness of urban design projects for integration with big data. Case study: humanizing neighborhoods initiative—KSA

IF 3.5 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY Smart and Sustainable Built Environment Pub Date : 2023-07-25 DOI:10.1108/sasbe-03-2023-0048
Hosam Salah El Samaty
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Abstract

PurposeThe research aims at finding out the extent to which such urban transformation projects—in terms of their design components and aspects—contribute to providing big data (BD) with effective datasets, which are considered a key requirement in operating smart city solutions.Design/methodology/approachThe present research investigates the predisposition level of these projects for supporting the BD through one of the urban initiatives for humanizing neighborhoods in Al Riyadh city (KSA). The selected case is analyzed by mapping the functional performance of its design features with certain characteristics of BD.FindingsOne of the core conclusions is: Despite the readiness of the design components of these projects to provide high levels of integration with IoT and smart transformation, the level of application is lower than expected on account of the dearth of initial targets and strategies, especially the lack of a supporting environment, street facilities and security and safety datasets.Originality/valueThe answer—arrived at through both descriptive and analytical approaches—is expected to guide those who query the further key concept of smart applications—is the answer characterized as technologically based, or is the same based on human aspects?
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城市设计项目与大数据集成的准备情况。案例研究:社区人性化倡议——KSA
目的本研究旨在了解此类城市改造项目在多大程度上——就其设计组成部分和方面而言——有助于为大数据(BD)提供有效的数据集,这被认为是运营智能城市解决方案的关键要求。设计/方法/方法本研究通过利雅得市(KSA)的一项人性化社区城市倡议,调查了这些项目支持BD的倾向水平。所选案例通过将其设计特征的功能性能与BD的某些特征进行映射来进行分析。结论之一是:尽管这些项目的设计组件已准备好提供与物联网和智能转型的高度集成,由于缺乏初始目标和战略,尤其是缺乏支持环境、街道设施以及安保和安全数据集,应用水平低于预期。独创性/价值通过描述性和分析性方法得出的答案有望指导那些质疑智能应用程序进一步关键概念的人——这个答案是基于技术的,还是基于人的方面?
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来源期刊
Smart and Sustainable Built Environment
Smart and Sustainable Built Environment GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-
CiteScore
9.20
自引率
8.30%
发文量
53
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