Expectation of smart mentality and citizen participation in technology-driven cities

IF 2.1 3区 工程技术 Q2 ENGINEERING, CIVIL Smart Structures and Systems Pub Date : 2021-03-01 DOI:10.12989/SSS.2021.27.3.435
Katalin Fehér
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引用次数: 1

Abstract

The purpose of the paper is to investigate the expectations of smart mentality and citizen participation in technology-driven cities. 150 mainstream trend reports, white papers, and research summaries are analyzed in one corpus as business, governmental, and university research cooperations. The changing trends of the related academic literature frame the study. Keyword statistics, word pairs, content networks, and correlation matrix reveal the expected citizen participation. The most referenced top ten cities and their strategies support the understanding of the smart mentality behind the participation. According to the findings, open data, communities, collective participation, socio-technical engagement, and empowerment are the most expected human factors. Anonymity, neighborhood-based implementations, and temporary human roles are underrepresented in the corpus, as well as the privacy concerns and ethical issues. However, the emerging AI technology and the interpretative metaphors with rainforest, team player, and public agora urge a focus also on these indicators with a contribution of citizen engagement. The paper provides governmental policymaking and the academic research of technology-driven cities with a citizen-centric and complex summary.
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科技驱动城市中的智慧心态期望与公民参与
本文的目的是调查科技驱动型城市对智慧心态和公民参与的期望。150份主流趋势报告、白皮书和研究摘要被分析在一个语料库中,作为商业、政府和大学的研究合作。相关学术文献的变化趋势构成了本研究的框架。关键词统计、词对、内容网络和相关矩阵揭示了预期的公民参与。被引用最多的十大城市及其战略支持了对参与背后聪明心态的理解。根据研究结果,开放数据、社区、集体参与、社会技术参与和赋权是最受期待的人类因素。匿名性、基于社区的实现和临时人类角色在语料库中的代表性不足,以及隐私问题和道德问题。然而,新兴的人工智能技术以及雨林、团队合作者和公众集会的解释隐喻也促使人们关注这些指标,并对公民参与做出贡献。本文以公民为中心,对技术驱动型城市的政府决策和学术研究进行了复杂的总结。
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来源期刊
Smart Structures and Systems
Smart Structures and Systems 工程技术-工程:机械
CiteScore
6.50
自引率
8.60%
发文量
0
审稿时长
9 months
期刊介绍: An International Journal of Mechatronics, Sensors, Monitoring, Control, Diagnosis, and Management airns at providing a major publication channel for researchers in the general area of smart structures and systems. Typical subjects considered by the journal include: Sensors/Actuators(Materials/devices/ informatics/networking) Structural Health Monitoring and Control Diagnosis/Prognosis Life Cycle Engineering(planning/design/ maintenance/renewal) and related areas.
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