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首页> 外文期刊>International journal of sustainable development and planning >IMPROVING URBAN ACCESSIBILITY: A METHODOLOGY FOR URBAN DYNAMICS ANALYSIS IN SMART, SUSTAINABLE AND INCLUSIVE CITIES
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IMPROVING URBAN ACCESSIBILITY: A METHODOLOGY FOR URBAN DYNAMICS ANALYSIS IN SMART, SUSTAINABLE AND INCLUSIVE CITIES

机译:改善城市可及性:智能,可持续和包容性城市的城市动力学分析方法

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摘要

Despite the improvisations of current urban accessibility regulations and their application in urban systems, it is a fact that our cities are not accessible. Both, the assessment of the effectiveness of urban accessibility and its maintenance over time are issues that require a more consistent approach. In order to address these aspects, it is necessary to have an accurate awareness of the existing condition of urban accessibility. Therefore, the way this information is transformed into specific data, which must be collected, stored and assessed, is one of the main challenges that smart cities face. This research helps implement an integrated system for urban accessibility analysis, combining the latest advances in the Information and Communication Technologies, such as RF & GPS positioning, smart sensing and cloud computing. The main goal of this research is to develop a reliable and effective method to assess public space accessibility with special focus on people with disabilities, by eliciting from users personal experiences. Consequently, the data obtained will enable a better design for improving pedestrian mobility. As a result, a computational architecture for urban dynamics analysis has been designed. Finally, technology and data processing have been validated as an effective system for data collection, and, as a first approach to users' real experience, it has been proposed to have a testing scenario at the University of Alicante,.
机译:尽管对当前的城市无障碍法规及其在城市系统中的应用进行了即兴创作,但事实是我们的城市不可访问。评估城市无障碍设施的有效性及其随时间的维护都是需要采取更一致方法的问题。为了解决这些问题,有必要对城市无障碍环境的现状有一个准确的认识。因此,将这些信息转换为必须收集,存储和评估的特定数据的方式,是智慧城市面临的主要挑战之一。这项研究有助于实现一个集成的系统,用于城市可访问性分析,结合信息和通信技术的最新进展,例如RF和GPS定位,智能传感和云计算。这项研究的主要目标是通过从用户的个人经验中得出一个评估公众空间可及性的可靠有效方法,特别关注残疾人。因此,获得的数据将为改善行人流动性提供更好的设计。结果,设计了用于城市动力学分析的计算架构。最后,技术和数据处理已被验证为有效的数据收集系统,并且,作为获取用户真实经验的第一种方法,已提出在阿利坎特大学进行测试。

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