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首页> 外文期刊>Computers，environment and urban systems >Uncovering inconspicuous places using social media check-ins and street view images
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Uncovering inconspicuous places using social media check-ins and street view images

机译：使用社交媒体办理登机手续和街头视图图像揭露不起眼的地方

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摘要

There is a Chinese proverb, "if your wine tastes really good, you do not need to worry about the location of your bar", which implies that the popular places for local residents are sometimes hidden behind an unassuming door or on unexpected streets. Discovering these unassuming places (e.g. restaurants) of a city will benefit the understanding of local culture and help to build livable neighborhoods. Previous work has been limited by the lack of appropriate data sources and efficient tools to evaluate the popularity, ambiance and physical surroundings of places in large-scale urban areas. In addition, how to characterize places with respect to different groups of people remains unclear. In this work, we propose a data-driven approach using social media check-ins and street-level images to compare the different activity patterns of visitors and locals, and uncover inconspicuous but interesting places for them in a city. We use check-in records as a proxy of the popularity of a particular type of place, and differentiate visitors and locals based on their travel and social media behaviors. In addition, we employ street-level images to represent the physical environments of places. As a result, we discovered a number of inconspicuous yet popular restaurants in Beijing. These restaurants are located mostly in deep alleys of Old Beijing neighborhoods, where the physical environments are not particularly appealing; however, these places are frequently visited by locals for social engagements. We also discovered beautiful but unpopular outdoor places in Beijing. These places are potential recreational areas for all groups of people and could be improved regarding urban design and planning to make these public infrastructures more attractive. This work demonstrates how multi-source big geo-data can be combined to build comprehensive place-based representations for different groups of people.
机译：有一个中国谚语，“如果你的葡萄酒味道真的很好，你不需要担心你的酒吧的位置”，这意味着当地居民的热门场所有时隐藏在一个不起眼的门后或意外的街道。发现这座城市的这些无人表的地方（例如餐馆）将有利于对当地文化的理解，并帮助建立宜居社区。以前的工作受到缺乏适当的数据来源和有效的工具，以评估大型城市地区的地方的流行，氛围和身体环境。此外，如何表征关于不同人群的地方仍然不清楚。在这项工作中，我们提出了一种使用社交媒体办理登机手续和街道级图像的数据驱动方法，以比较访客和当地人的不同活动模式，并在一个城市中揭示他们的不明显但有趣的地方。我们使用登记录记录作为特定类型的普及的代理，并根据他们的旅行和社交媒体行为区分游客和当地人。此外，我们使用街道级图像来表示地方的物理环境。因此，我们在北京发现了一些不起眼的最受欢迎的餐厅。这些餐馆主要位于北京古老的北京社区的大小，物理环境并不特别吸引人;然而，这些地方经常被当地人访问社会参与。我们还发现了北京的美丽但不受欢迎的户外场所。这些地方是所有人群的潜在娱乐场地，可以改善城市设计和计划，使这些公共基础设施更具吸引力。这项工作展示了多源大地理数据如何组合以构建不同人群的全面的基于地方的表示。

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  • 来源
    《Computers，environment and urban systems》 |2020年第5期|101478.1-101478.14|共14页
  • 作者

    Zhang Fan; Zu Jinyan; Hu Mingyuan; Zhu Di; Kang Yuhao; Gao Song; Zhang Yi; Huang Zhou;

  • 作者单位

    MIT Senseable City Lab 77 Massachusetts Ave Cambridge MA 02139 USA;

    Chinese Univ Hong Kong Inst Space & Earth Informat Sci Hong Kong Peoples R China;

    Chinese Univ Hong Kong Inst Space & Earth Informat Sci Hong Kong Peoples R China;

    Peking Univ Sch Earth & Space Sci Inst Remote Sensing & Geog Informat Syst Beijing 100871 Peoples R China;

    Univ Wisconsin Dept Geog Geospatial Data Sci Lab Madison WI 53706 USA;

    Univ Wisconsin Dept Geog Geospatial Data Sci Lab Madison WI 53706 USA;

    Peking Univ Sch Earth & Space Sci Inst Remote Sensing & Geog Informat Syst Beijing 100871 Peoples R China;

    Peking Univ Sch Earth & Space Sci Inst Remote Sensing & Geog Informat Syst Beijing 100871 Peoples R China;

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  • 正文语种 eng
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  • 关键词

    Place semantics; Social sensing; Residents and visitors; Social media check-ins; Street view images;

    机译：放置语义;社会传感;居民和访客;社交媒体办理登机手续;街景图像;

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