UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Exploring similarities and variations of human mobility patterns in the city of London

Sulis, P; Manley, E; (2018) Exploring similarities and variations of human mobility patterns in the city of London. In: Proceedings of the 3rd International Conference on Smart Data and Smart Cities. (pp. pp. 51-58). ISPRS: Delft, The Netherlands. Green open access

[thumbnail of isprs-archives-XLII-4-W11-51-2018.pdf]
Preview
Text
isprs-archives-XLII-4-W11-51-2018.pdf - Published Version

Download (5MB) | Preview

Abstract

The availability of new spatial data represents an unprecedented opportunity to better understand and plan cities. In particular, extensive data sets of human mobility data supply new information that can empower urbanism research to unveil how people use and visit urban places over time, overcoming traditional limitations related to the lack of large, detailed data sets. In this work, we explore patterns of similarities and spatial differences in human mobility flows in London, analysing their temporal variations in relation to the liveliness measured in a number of places. Using data sourced from the Oyster smart card and Twitter, we perform a time-series cluster analysis, exploring the similarity of temporal trends amongst places assigned to each cluster. Results suggest that differences in patterns appear to be related to the central and peripheral location of places, which present two or more temporal trends over the week. The type of transport network connecting the places (Tube, Railways, etc.) also appears to be a factor in determining significant differences. This work contributes to current urbanism research investigating the daily rhythms in cities. It also explores how to use mobility data to classify places according to their temporal features, with the aim of enhancing conventional analysis tools and integrating them with new quantitative information and methods.

Type: Proceedings paper
Title: Exploring similarities and variations of human mobility patterns in the city of London
Event: 3rd International Conference on Smart Data and Smart Cities
Open access status: An open access version is available from UCL Discovery
DOI: 10.5194/isprs-archives-XLII-4-W11-51-2018
Publisher version: https://doi.org/10.5194/isprs-archives-XLII-4-W11-...
Language: English
Additional information: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Keywords: Time-series, cluster analysis, smart card data, human mobility, spatiotemporal patterns
UCL classification: UCL
UCL > Provost and Vice Provost Offices
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/10092139
Downloads since deposit
44Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item