This paper addresses a static bike repositioning problem by embedding a short-term
demand forecasting process, the Random Forest (RF) model, to account for the demand …

Improved network technology and data openness have generated a large number of
trajectory-based data, and trajectory-based knowledge graphs help to provide consecutive …

Dockless bike‐sharing (DBS) is a novel and prevalent bike‐sharing system without stations
or docks. DBS has the advantages of convenience and real‐time positioning, whereas it …

We demonstrate how digital traces of city-bike trips may become useful to identify urban
space attractiveness. We exploit their unique feature–stopovers: short, non-traffic-related …

Bike sharing systems have become a sustainable alternative to motorized private transport
in urban areas. However, users often face high costs and availability issues due to the …

Bike-sharing systems are an important element in development of the smart cities and
datasets from these systems are one of the ways to obtain large amount of information on …

The market shares and significance of ridehailing or Transportation Network Companies
(TNCs) like Uber, Lyft, and Ola are growing in numerous transportation markets. Big data …

The emergence of bike sharing has facilitated our lives, but at the same time, there are
problems such as spatiotemporal imbalance. Considering the influence of various natural …

Pojęcie zrównoważonej mobilności jest obecnie jednym z częściej poruszanych zagadnień
w transporcie. Z pojęciem tym wiąże się m. in. rozwój ruchu pieszego i proekologicznych …