智能城市性能:更多地应用于实际生活而非硬件和软件

IF 2.1 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Faten Hatem
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引用次数: 0

摘要

智慧城市的愿景声称通过信息和通信技术提供更好的宜居性和可持续性。本研究强调了关注影响智慧城市主义的空间方面和情感因素的重要性。它寻求更好地为城市治理、空间规划和政策制定提供信息,将重点放在Smart所做的事情以及它在城市绩效方面可以实现的目标上,而不是将这个概念用于声望目的。此外,该研究还认识到,通过超越改善城市基本服务,增强人类实际体验,为城市发展确立新意义的重要性,这对于发展真正的智慧城市至关重要。该主题提出了四个被忽视的领域:效率悖论、社会方面、与自然的联系以及未开发资源的利用。这一论点并不要求我们孤立地探索这些主题;它集体考察了智慧城市的表现,认为智慧城市的实际生活不仅仅是软件和硬件的发明。该研究采用了案例研究的方法,将米尔顿凯恩斯作为一个活生生的例子来学习,同时采用各种数据收集方法,包括多学科半结构化访谈、实地观察和数据挖掘。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Smart in city performance: More to practical life than hardware and software

Smart in city performance: More to practical life than hardware and software

Visions of Smart cities claim to offer better liveability and sustainability through information and communication technology. This study promotes the importance of focussing on spatial aspects and affective factors that impact smart urbanism. It seeks better to inform city governance, spatial planning, and policymaking to focus on what Smart does and what it can achieve for cities in terms of performance rather than on using the notion for prestige purposes. Also, the study recognises the importance of establishing a new meaning for urban progress by moving beyond improving the city's basic services to enhance the actual human experience, which is essential for developing authentic smart cities. The topic presents four overlooked areas: the efficiency paradox, the social aspect, connectedness with nature, and utilising untapped resources. The argument does not invite exploring these themes in silos; it collectively examines smart cities in performance, arguing that there is more to the practical life of smart cities than software and hardware inventions. The research uses a case study approach, presenting Milton Keynes as a living example to learn from while engaging with various methods for data collection, including multi-disciplinary semi-structured interviews, field observations, and data mining.

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来源期刊
IET Smart Cities
IET Smart Cities Social Sciences-Urban Studies
CiteScore
7.70
自引率
3.20%
发文量
25
审稿时长
21 weeks
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