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Functional visibility graph analysis: Quantifying visuofunctional space with social media check-in data
Environment and Planning B: Urban Analytics and City Science ( IF 3.511 ) Pub Date : 2021-07-02 , DOI: 10.1177/23998083211001840
Yao Shen 1 , Zhiqiang Wu 2
Affiliation  

Public space is characterised by visible spaces and featured by observable activities, forming the atmosphere that humans can perceive, interpret, and experience. This article conceptualises urban space as a set of viewsheds connecting functions visually which can be represented as functional visibility graphs – the graphs with mutual-visibility edges between space and function nodes. It begins with an introduction of three basic measures: visual function size, entropy, and mean angular depth step, then proposes advanced measures: namely visual function connectivity, function visibility, and visible function closeness, showing spatial narratives along paths, visual centrality in place, and functional regions for continuous areas, respectively. This framework is enabled by social media check-in data that records people’s engagements across function nodes tagged by them. An application in a real example in Tianjin City is shown. The novelty of using social media check-ins as a delegation of actual function usage is demonstrated for modelling urban movement with improved precision. By tracing the shifting performance of the functional visibility graphs for the same spatial layout, this study outlines how such analysis can be conducted for uncovering short-term transformation of the visual landscape, contributing to the fine-scale, high-resolution implementations of land use policies from a real human-focused perspective, with the socially sensed data.



中文翻译:

功能可见性图分析:使用社交媒体签入数据量化视觉功能空间

公共空间以可见空间为特征,以可观察活动为特征,形成人类可感知、可解释、可体验的氛围。本文将城市空间概念化为一组在视觉上连接功能的视域,这些视域可以表示为功能可见性图——空间和功能节点之间具有相互可见边的图。它首先介绍了三个基本度量:视觉功能大小、熵和平均角深度步长,然后提出了高级度量:即视觉功能连通性、功能可见性和可见功能接近度,沿着路径显示空间叙事,视觉中心性就位和连续区域的功能区域。该框架由社交媒体签到数据启用,该数据记录人们跨由他们标记的功能节点的参与。展示了在天津市的一个实际例子中的应用。展示了使用社交媒体签到作为实际功能使用委托的新颖性,用于以更高的精度对城市运动进行建模。通过跟踪相同空间布局的功能可见性图的移动性能,本研究概述了如何进行此类分析以揭示视觉景观的短期转变,从而有助于土地利用的精细尺度、高分辨率实施从真正以人为中心的角度出发的政策,以及社会感知的数据。展示了使用社交媒体签到作为实际功能使用委托的新颖性,用于以更高的精度对城市运动进行建模。通过跟踪相同空间布局的功能可见性图的移动性能,本研究概述了如何进行此类分析以揭示视觉景观的短期转变,从而有助于土地利用的精细尺度、高分辨率实施从真正以人为中心的角度出发的政策,以及社会感知的数据。展示了使用社交媒体签到作为实际功能使用委托的新颖性,用于以更高的精度对城市运动进行建模。通过跟踪相同空间布局的功能可见性图的移动性能,本研究概述了如何进行此类分析以揭示视觉景观的短期转变,从而有助于土地利用的精细尺度、高分辨率实施从真正以人为中心的角度出发的政策,以及社会感知的数据。

更新日期:2021-07-02
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