TY - DATA
T1 - Data underlying the publication: Virus spreading in ride-pooling networks. Can ride-pooling become a safe and sustainable mobility alternative for pandemic urban systems?
PY - 2021/03/02
AU - Rafal Kucharski
UR - https://data.4tu.nl/articles/dataset/Data_underlying_the_publication_Virus_spreading_in_ride-pooling_networks_Can_ride-pooling_become_a_safe_and_sustainable_mobility_alternative_for_pandemic_urban_systems_/14140616/1
DO - 10.4121/14140616.v1
KW - ride-pooling
KW - virus spreading
KW - Epidemic modeling
KW - urban mobility
N2 - <div>The dataset contains results of experiments for the study of our research https://arxiv.org/abs/2011.12770. Data is used to generate results with this reproducible  notebook: https://github.com/RafalKucharskiPK/ExMAS/blob/master/ExMAS/spinoffs/corona/02_plots.ipynb</div><div><br></div><div>Files:</div><div>- png with maps</div><div>- .csv with epidemic modelling results (For any given day, the model outputs information about the number of travellers in each state (S-I-Q-R) and newly infected
travellers, based on which we can reproduce epidemic spreading profiles.)</div><div><br></div><div>Abstract of the study:</div>Urban mobility needs alternative sustainable travel modes to keep our pandemic cities in motion. Ride-pooling, where a
single vehicle is shared by more than one traveller, is not only appealing for mobility platforms and their travellers, but also for
promoting the sustainability of urban mobility systems. Yet, the potential of ride-pooling rides to serve as a safe and effective
alternative given the personal and public health risks considerations associated with the COVID-19 pandemic is hitherto
unknown.
To answer this, we combine epidemiological and behavioural shareability models to examine spreading among ride-pooling
travellers, with an application for Amsterdam. Findings are at first sight devastating, with only few initially infected travellers
needed to spread the virus to hundreds of ride-pooling users. Without intervention, ride-pooling system may substantially
contribute to virus spreading. Notwithstanding, we identify an effective control measure allowing to halt the spreading before
the outbreaks (at 50 instead of 800 infections) without sacrificing the efficiency achieved by pooling. Fixed matches among
co-travellers disconnect the otherwise dense contact network, encapsulating the virus in small communities and preventing the
outbreaks.
ER -