Preprint
Modeling shared micromobility as a label propagation process for detecting the overlapping communities
arXiv
arXiv
01/26/2025
DOI: 10.48550/arxiv.2501.15713
Abstract
Shared micro-mobility such as e-scooters has gained significant popularity in many cities. However, existing methods for detecting community structures in mobility networks often overlook potential overlaps between communities. In this study, we conceptualize shared micro-mobility in urban spaces as a process of information exchange, where locations are connected through e-scooters, facilitating the interaction and propagation of community affiliations. As a result, similar locations are assigned the same label. Based on this concept, we developed a Geospatial Interaction Propagation model (GIP) by designing a Speaker-Listener Label Propagation Algorithm (SLPA) that accounts for geographic distance decay, incorporating anomaly detection to ensure the derived community structures reflect meaningful spatial patterns. We applied this model to detect overlapping communities within the e-scooter system in Washington, D.C. The results demonstrate that our algorithm outperforms existing model of overlapping community detection in both efficiency and modularity. However, existing methods for detecting community structures in mobility networks often overlook potential overlaps between communities. In this study, we conceptualize shared micro-mobility in urban spaces as a process of information exchange, where locations are connected through e-scooters, facilitating the interaction and propagation of community affiliations. As a result, similar locations are assigned the same label. Based on this concept, we developed a Geospatial Interaction Propagation model (GIP) by designing a Speaker-Listener Label Propagation Algorithm (SLPA) that accounts for geographic distance decay, incorporating anomaly detection to ensure the derived community structures reflect meaningful spatial patterns.
Details
- Title: Subtitle
- Modeling shared micromobility as a label propagation process for detecting the overlapping communities
- Creators
- Peng LuoChengyu SongHao LiDi ZhuFabio Duarte
- Resource Type
- Preprint
- Publication Details
- arXiv
- DOI
- 10.48550/arxiv.2501.15713
- ISSN
- 2331-8422
- Publisher
- arXiv
- Language
- English
- Date posted
- 01/26/2025
- Academic Unit
- School of Earth, Environment, and Sustainability; Center for Social Science Innovation
- Record Identifier
- 9985222725002771
Metrics
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