Sulis, P;
Manley, E;
Zhong, C;
Batty, M;
(2018)
Using mobility data as proxy for measuring urban vitality.
Journal of Spatial Information Science
, 16
pp. 137-162.
10.5311/JOSIS.2018.16.384.
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Abstract
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.
| Type: | Article |
|---|---|
| Title: | Using mobility data as proxy for measuring urban vitality |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.5311/JOSIS.2018.16.384 |
| Publisher version: | http://dx.doi.org/10.5311/JOSIS.2018.16.384 |
| Language: | English |
| Additional information: | Copyright © by the author(s). This work is licensed under a Creative Commons Attribution 3.0 License (http://creativecommons.org/licenses/by/3.0/). |
| Keywords: | spatial big data, mobility flows, urban vitality, temporal patterns, urban dynamics |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10050847 |
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