Cao, J;
Li, Q;
Tu, W;
Gao, Q;
Cao, R;
Zhong, C;
(2021)
Resolving urban mobility networks from individual travel graphs using massive-scale mobile phone tracking data.
Cities
, 110
, Article 103077. 10.1016/j.cities.2020.103077.
Preview |
Text
Zhong_JCIT_2019_2213_R2 (2).pdf - Accepted Version Download (3MB) | Preview |
Abstract
Human movements and interactions with cities are characterized by urban mobility networks. Many studies that address urban mobility are inspired by complex networks. The models of complex networks require a large amount of empirical data. However, current works relied on traditional survey data and were unable to take full advantage of the capabilities offered by complex networks; thus, the possibility of quantifying urban mobility networks by considering individual travel patterns has not yet been addressed. This study presents a data-driven approach for characterizing urban mobility networks based on massive-scale mobile phone tracking data. Individual travel motifs are first extracted using a graph-based approach. The global urban mobility network (G-UMN) and the motif-dependent urban mobility subnetworks (MD-UMNs) are then constructed. Next, network properties, including statistical measures and scaling relations between the basic measures, are proposed for characterizing mobility networks. We have conducted experiments focusing on Shenzhen, China. The results demonstrated that (1) the individual travel motifs are structurally and spatially heterogeneous, (2) the G-UMN exhibits a evolutionary hierarchical structure, and (3) the MD-UMNs show many behavioral differences in their spatial and topological properties, reflecting the impacts of the heterogeneity of the individual travel motifs. These results bridge the gap between complex network properties and urban mobility patterns and provide crucial implications and policies for data-informed urban planning.
| Type: | Article |
|---|---|
| Title: | Resolving urban mobility networks from individual travel graphs using massive-scale mobile phone tracking data |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.cities.2020.103077 |
| Publisher version: | https://doi.org/10.1016/j.cities.2020.103077 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Spatial network, Urban mobility, Mobile phone tracking data, Complex Network analysis |
| 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/10119640 |
Archive Staff Only
 |
View Item |
