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首页> 外文期刊>Computers，environment and urban systems >Integrated Multimedia City Data (iMCD): A composite survey and sensing approach to understanding urban living and mobility
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Integrated Multimedia City Data (iMCD): A composite survey and sensing approach to understanding urban living and mobility

机译：集成的多媒体城市数据（IMCD）：一种了解城市生活和流动性的综合调查和传感方法

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We describe the Integrated Multimedia City Data (iMCD), a data platform involving detailed person-level self-reported and sensed information, with additional Internet, remote sensing, crowdsourced and environmental data sources that measure the wider social, economic and physical context of the participant. Selected aspects of the platform, which covers the Glasgow, UK, city-region, are available to other researchers, and allows knowledge discovery on critical urban living themes, for example in transportation, lifelong learning, sustainable behavior, social cohesion, ways of being in a digital age, and other topics. It further allows research into the technological and methodological aspects of emerging forms of urban data. Key highlights of the platform include a multi-topic household and person-level survey; travel and activity diaries; a privacy and personal device sensitivity survey; a rich set of GPS trajectory data; accelerometer, light intensity and other personal environment sensor data from wearable devices; an image data collection at approximately 5-second resolution of participants' daily lives; multiple forms of text-based and multimedia Internet data; high resolution satellite and LiDAR data; and data from transportation, weather and air quality sensors. We demonstrate the power of the platform in understanding personal behavior and urban patterns by means of three examples: an examination of the links between mobility and literacy/learning using the household survey, a social media analysis of urban activity patterns, and finally, the degree of physical isolation levels using deep learning algorithms on image data. The analysis highlights the importance of purposefully designed multi-construct and multi-instrument data collection approaches that arc driven by theoretical frameworks underpinning complex urban challenges, and the need to link to policy frameworks (e.g., Smart Cities, Future Cities, UNESCO Learning Cities agendas) that have the potential to translate data to impactful decision-making.
机译：我们描述了集成的多媒体城市数据（ICCD），一个数据平台，涉及详细的人级自我报告和感知信息，具有额外的互联网，遥感，众群和环境数据来源，可衡量更广泛的社会，经济和物理背景参与者。覆盖格拉斯哥，英国，城市区域的平台的选定方面可供其他研究人员使用，并允许在危急城市生活主题上了解知识发现，例如在交通，终身学习，可持续行为，社会凝聚力，存在的方式在数字时代和其他主题。它还允许研究新兴形态的城市数据的技术和方法论方面。平台的主要亮点包括多主题家庭和人级调查;旅行和活动日记;隐私和个人设备敏感性调查;丰富的GPS轨迹数据;加速度计，光强度和其他个人环境传感器数据来自可穿戴设备;参与者日常生活的大约5秒决议的图像数据收集;基于文本和多媒体互联网数据的多种形式;高分辨率卫星和LIDAR数据;和来自运输，天气和空气质量传感器的数据。我们展示了通过三个例子了解个人行为和城市模式的平台的力量：通过家庭调查检查流动性和扫盲/学习之间的联系，是城市活动模式的社交媒体分析，最后，学位使用深层学习算法在图像数据中的物理隔离级别。分析突出了所目的地设计的多构建和多仪器数据收集方法的重要性，这些方法由基于复杂的城市挑战的理论框架驱动的弧形，以及联系到政策框架的需要（例如，智能城市，未来城市，教科文组织学习城市议程）有可能将数据转化为有影响力的决策。

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