使用惯性和光学传感器对建筑物可访问性的分析
Tomás E Martínez-Chao1, Agustín Menéndez-Díaz2, Silverio García-Cortés3
1Department of Civil, Building and Environmental Engineering, University of Naples "Federico II", 80125 Naples, Italy.
Sensors (Basel, Switzerland)
|July 8, 2023
概括
这项研究提出了一种新的模型,用于分析流动性有限的人的城市可访问性. 该模型识别可访问的路线和障碍物,改善包容性城市空间设计.
科学领域:
- 城市规划和可访问性研究.
- 地理空间分析和测量工作
- 残疾人研究和包容性设计
背景情况:
- 包容性地利用城市空间需要详细了解公共建筑的可访问性.
- 建筑改进正在进行中,但挑战仍然存在,特别是在历史地区.
- 评估城市路线和建筑物通道对于公平提供服务至关重要.
研究的目的:
- 开发一个模型,详细分析城市路线和建筑可访问性.
- 具体解决城市环境中行动能力低下者需求.
- 确定城市环境中合适的交通路线和潜在障碍.
主要方法:
- 开发一个集成光谱技术与惯性和光学传感器的模型.
- 在行政大楼周围的行人路线的数学分析.
- 应用程序用于评估建筑物可访问性,路线适用性,道路表面状况和建筑障碍.
主要成果:
- 该模型允许对行人路线和城市可达性进行详细分析.
- 确定了行动能力受限者面临的具体挑战,包括道路表面的恶化和建筑障碍.
- 提供了一种方法来评估公共行政建筑及其周围环境的可访问性.
结论:
- 开发的模型提供了一个强大的工具,用于评估和改进行动不便的人的城市可访问性.
- 对城市路线和建筑物通道的详细分析对于创建真正包容性的公共空间至关重要.
- 这种方法可以为城市规划和建筑修改提供信息,以提高历史和现有结构的航行性和安全性.
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