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Using mobility data as proxy for measuring urban vitality

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. Green open access

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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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