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Human mobility in bike-sharing systems: Structure of local and non-local dynamics
- Source :
- PLoS ONE, PLoS ONE, Vol 14, Iss 3, p e0213106 (2019)
- Publication Year :
- 2019
- Publisher :
- Public Library of Science (PLoS), 2019.
-
Abstract
- The understanding of human mobility patterns in different transportation modes is an interdisciplinary research field with a direct impact in aspects as varied as urban planning, traffic optimization, sustainability, the reduction of operating costs as well as the mitigation of pollution in urban areas. In this paper, we study the global activity of users in bike-sharing systems operating in the cities of Chicago and New York. For this transportation mode, we explore the temporal and spatial characteristics of the mobility of cyclists. In particular, through the analysis of origin-destination matrices, we characterize the spatial structure of the displacements of users. We apply a mobility model for the global activity of the system that classifies the displacements between stations in local and non-local transitions. In local transitions, cyclists move in a region around each station whereas, in the non-local case, bike users travel with long-range displacements in a similar way to Lévy flights. We reproduce the spatial dynamics by using Monte Carlo simulations. The obtained results are similar to the observed in real data and reveal that the model implemented captures important characteristics of the global spatial dynamics in the systems analyzed.
- Subjects :
- Mobility model
Statistical methods
Computer science
Monte Carlo method
Social Sciences
Transportation
Pattern Recognition, Automated
Psychology
Geographic Areas
Travel
0303 health sciences
Multidisciplinary
Geography
Simulation and Modeling
Statistics
05 social sciences
Physical sciences
Longitude
Medicine
Engineering and Technology
Research Article
Urban Areas
Cartography
Science
New York
Human Geography
Transport engineering
03 medical and health sciences
Spatio-Temporal Analysis
Urban planning
0502 economics and business
Humans
Cities
030304 developmental biology
Chicago
Behavior
050210 logistics & transportation
Mode (statistics)
Biology and Life Sciences
Probability Theory
Field (geography)
Bicycling
Research and analysis methods
Probability Density
Sustainability
Traffic optimization
Earth Sciences
Human Mobility
Mathematical and statistical techniques
Mathematics
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- PLOS ONE
- Accession number :
- edsair.doi.dedup.....70dd6137055036be4165993fe884f24b