Using mobility data as proxy for measuring urban vitality

被引:141
作者
Sulis, Patrizia [1 ]
Manley, Ed [1 ]
Zhong, Chen [2 ]
Batty, Michael [1 ]
机构
[1] UCL, Ctr Adv Spatial Anal, London, England
[2] Kings Coll London, Dept Geog, London, England
关键词
spatial big data; mobility flows; urban vitality; temporal patterns; urban dynamics;
D O I
10.5311/JOSIS.2018.16.384
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
In this paper, we propose a computational approach to Jane Jacobs' concept of diversity and vitality, analyzing new forms of spatial data to obtain quantitative measurements of urban qualities frequently employed to evaluate places. We use smart card data collected from public transport to calculate a diversity value for each research unit. Diversity is composed of three dynamic attributes: intensity, variability, and consistency, each measuring different temporal variations of mobility flows. We then apply a regression model to establish the relationship between diversity and vitality, using Twitter data as a proxy for human activity in urban space. Final results (also validated using data sourced from OpenStreetMap) unveil which are the most vibrant areas in London.
引用
收藏
页码:137 / 162
页数:26
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