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An Interdisciplinary Mixed-Methods Approach to Analyzing Urban Spaces: The Case of Urban Walkability and Bikeability

机译:跨学科的混合方法分析城市空间的方法:城市步行性和平地性的情况

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摘要

Human-centered approaches are of particular importance when analyzing urban spaces in technology-driven fields, because understanding how people perceive and react to their environments depends on several dynamic and static factors, such as traffic volume, noise, safety, urban configuration, and greenness. Analyzing and interpreting emotions against the background of environmental information can provide insights into the spatial and temporal properties of urban spaces and their influence on citizens, such as urban walkability and bikeability. In this study, we present a comprehensive mixed-methods approach to geospatial analysis that utilizes wearable sensor technology for emotion detection and combines information from sources that correct or complement each other. This includes objective data from wearable physiological sensors combined with an eDiary app, first-person perspective videos from a chest-mounted camera, and georeferenced interviews, and post-hoc surveys. Across two studies, we identified and geolocated pedestrians’ and cyclists’ moments of stress and relaxation in the city centers of Salzburg and Cologne. Despite open methodological questions, we conclude that mapping wearable sensor data, complemented with other sources of information—all of which are indispensable for evidence-based urban planning—offering tremendous potential for gaining useful insights into urban spaces and their impact on citizens.
机译:在分析技术驱动的领域的城市空间时,以人为本的方法特别重要,因为了解人们如何感知和对其环境反应取决于几种动态和静态因素,例如交通量,噪音,安全,城市配置和绿色。分析和解释环境信息背景的情绪可以提供对城市空间的空间和时间特性及其对公民的影响,如城市可行性和平地性。在这项研究中,我们提出了一种全面的混合方法来解决地理空间分析方法,该方法利用可穿戴传感器技术进行情感检测,并将信息与彼此校正或相互补充的源。这包括来自可穿戴物理传感器的客观数据,联合Edia应用程序,从胸部安装的相机和地理参考访谈以及Hoc调查的第一人称透视视频。在萨尔茨堡和科隆市中心,我们在两项研究中,我们确定了和骑自行车的人的压力和放松的时刻。尽管有开放的方法论问题,我们得出结论,绘制可穿戴传感器数据,与其他信息来源相辅相成 - 所有这些来源 - 所有这些来源都是必不可少的,这些都是基于证据的城市规划 - 提供了对城市空间的有用见解以及对公民的影响的巨大潜力是必不可少的。

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