Results 201 to 210 of about 2,592,493 (378)
An interval-valued Pythagorean fuzzy TOPSIS approach for service quality evaluation of bike-sharing providers under uncertain environment. [PDF]
Chai N, Chen Z, Zhou W, Zhang S.
europepmc +1 more source
A new RNN based machine learning model to forecast COVID-19 incidence, enhanced by the use of mobility data from the bike-sharing service in Madrid. [PDF]
Muñoz-Organero M +2 more
europepmc +1 more source
The Spatial and Non-Spatial Analyses of the Bike-Sharing Service in Small Urban Areas in Slovakia: The Case Study [PDF]
Stanislav Kubaľák +2 more
openalex +1 more source
Abstract The consequences of climate change are becoming more severe and widespread, highlighting the growing need to understand and address the emotional dimensions of the climate crisis. Although research on climate emotions has grown substantially over the past decade, empirical work on how people are coping with climate emotions is very limited ...
Lindsay P. Galway
wiley +1 more source
Features that influence bike sharing demand. [PDF]
Cortez-Ordoñez A +2 more
europepmc +1 more source
Excess demand prediction for bike sharing systems. [PDF]
Liu X, Pelechrinis K.
europepmc +1 more source
Trees in cities provide a great number of benefits to people and nature, but they are challenged by harsh conditions. Trees rely on helpful fungi in their roots to get essential nutrients from the soil, but we do not know which of these fungi are resistant to city landscapes.
Casper T. Verbeek +2 more
wiley +1 more source
Spatiotemporal variability and prediction of e-bike battery levels in bike-sharing systems. [PDF]
Bassolas A, Grau-Escolano J, Vicens J.
europepmc +1 more source

