Using machine learning models to predict the willingness to carry lightweight goods by bike and kick-scooter. [PDF]
Silveira-Santos T +2 more
europepmc +1 more source
Antoine Robichet, P. Niérat, F. Combes
semanticscholar +1 more source
Descriptive Analysis of the First 12-Month Activity of Docadom, a Private Physician-Led Urgent In-Home Consultation Service. [PDF]
Bikfalvi A +7 more
europepmc +1 more source
The strengths and weaknesses of bike sharing as an alternative mode during disruptive public health crisis: A qualitative analysis on the users' motivations during COVID-19. [PDF]
Teixeira JF, Silva C, Moura E Sá F.
europepmc +1 more source
Cargo E-Bike as a service : A concept study
This Master’s thesis was done with the research group Green Leap at KTH. Green Leap is working for engaging design in sustainable development to act as a catalyst for change. A project that Green Leap has worked with is Ett bilfritt år, where families exchanged their cars for lightweight electric vehicles for a year and the changes in their behaviours ...
openaire +1 more source
Assessing last-mile distribution resilience under demand disruptions. [PDF]
Pahwa A, Jaller M.
europepmc +1 more source
BikeZ-ETH - A Mass-Cycling Trajectory Dataset from a Controlled Experiment. [PDF]
Riehl K +4 more
europepmc +1 more source
How do electric cargo bikes fit with real life? A social practice analysis in the United Kingdom
Noel Cass +3 more
semanticscholar +1 more source
The Community-Environment-Health Nexus: Connecting Community-Led Climate Action to Health Co-Benefits. [PDF]
Wendelboe-Nelson C +5 more
europepmc +1 more source
Figure 15. This is the cover of the fifth issue of "Flock of Bikes." Notice the bleed through on the scanned photocopy ( 21.5cm x 14cm ...
Miller, Joshua, Flock of Bikes
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