The geography of human activity and land use: A big data approach
The geography of human activity and land use: A big data approach
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DOI：
10.1016/j.cities.2019.102523
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发表时间：
2020-02-01
期刊：
影响因子：
6.7
通讯作者：
Wang, Jianghao
中科院分区：
文献类型：
--
作者：
Liu, Wei;Wu, Wenjie;Wang, Jianghao
基于位置的社交媒体大数据在城市环境中的应用为了解传统人口普查数据匮乏的发展中国家的城市活力提供了新的替代策略。本文展示了如何有效地利用中国腾讯社交媒体使用强度的时空分布作为精细尺度上人类活动地理模式建模的代理。我们的结果表明，人类活动的时空背景性质取决于土地利用混合特征。随着虚拟世界中收集到的数十亿社交媒体数据，这项研究的结果表明，描绘人类活动密度、有序或无序地理模式的土地使用政策对于城市活力非常重要。
The application of location-based social media big data in urban contexts offers new and alternative strategies for understanding city liveliness in developing countries where traditional census data are poor. This paper demonstrates how the spatial-temporal distribution of China's Tencent social media usage intensities can be effectively used as a proxy for modelling the geographic patterns of human activity at fine scales. Our results suggest that the spatially-temporally contextualized nature of human activity is dependent upon land use mixing characteristics. With billions of social media data being collected in the virtual world, findings of this study suggest that land use policies to delineating the density, orderly or disorderly geographic patterns of human activity are important for city liveliness.