关于如何使用智能城市概念调查贫困的反学科研究
1Department of Management and Marketing, California State University, Bakersfield, USA.
Evaluation and program planning
|June 4, 2025
概括
本研究通过反学科的方法探索使用智能城市概念来减少贫困. 调查结果为研究人员和政策制定者提供了指导方针,以利用智慧城市元素减轻贫困.
科学领域:
- 城市研究 城市研究
- 社会学 社会学 社会学
- 公共政策 公共政策
背景情况:
- 调查像贫困这样复杂的现象,对研究人员和政策制定者来说带来了重大挑战.
- 智能城市概念为社会经济问题提供了多方面的技术和非技术解决方案.
- 解决贫困,一个多维的社会问题,需要创新的跨学科的方法.
研究的目的:
- 通过智能城市概念的镜头来调查贫困.
- 采用反学科的方法,将智慧城市和减少贫困的概念联系起来.
- 审查智能城市和减少贫困项目的组成部分.
主要方法:
- 使用一种反学科的方法,正如伊藤的十个命题所定义的那样.
- 审查现有的智能城市组件和减少贫困的倡议.
- 分析与减贫相关的实际和概念因素.
主要成果:
- 该研究确定了针对贫困研究的反学科方法的关键建议.
- 调查结果强调了智能城市概念在解决贫困根源方面的潜力.
- 这项研究强调了利益相关者的参与和弱势群体的赋权.
结论:
- 智能城市概念可以有效地用于探索和解决贫困问题.
- 一个反学科框架提供了将智能城市解决方案整合到减贫战略中的指导方针.
- 建议侧重于利益相关者的协作,创新解决方案和使用技术来实现成功的结果.
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