What influences people to choose ridesharing? An overview of the literature

H Si, J Shi, W Hua, L Cheng, J De Vos, W Li - Transport reviews, 2023 - Taylor & Francis
Ridesharing is a shared mobility service in which passengers and drivers with similar origins
and destinations are matched to travel in the same vehicle. This service utilises unused …

The shareability potential of ride-pooling under alternative spatial demand patterns

J Soza-Parra, R Kucharski, O Cats - Transportmetrica A: Transport …, 2024 - Taylor & Francis
In In this study, we set out to explore how various spatial patterns of travel demand drive the
effectiveness of ride-pooling services. To do so, we generate a broad range of synthetic, yet …

Electric Kickboard Demand Prediction in Spatiotemporal Dimension Using Clustering‐Aided Bagging Regressor

PW Khan, SJ Park, SJ Lee… - Journal of Advanced …, 2022 - Wiley Online Library
Demand for electric kickboards is increasing specifically in tourist‐centric regions worldwide.
In order to gain a competitive edge and to provide quality service to customers, it is essential …

User characteristics and spatial correlates of ride-pooling demand–Evidence from Berlin and Munich

J Gödde, L Ruhrort, V Allert, J Scheiner - Journal of Transport Geography, 2023 - Elsevier
As ride-hailing services–such as Uber and Lyft–dominate the market for digitized on-
demand mobility solutions, these cab-like services face strict regulations in Germany. Here …

Review on theoretical assessments and practical implementations of ride-pooling

F Zwick, N Kuehnel… - 22nd Swiss Transport …, 2022 - research-collection.ethz.ch
Digitized on-demand ride-pooling services emerged world-wide in recent years. They
promise to provide a comfortable mobility alternative that is more efficient than conventional …

[HTML][HTML] Assessing spatial characteristics to predict DRT demand in rural Switzerland

S Imhof, K Blättler - Research in Transportation Economics, 2023 - Elsevier
The niche market segment of demand responsive transport (DRT) services is meant to
overcome structural economic problems of currently cost ineffective public transport (PT) …

Ebike Sharing vs. Bike Sharing: Demand Prediction Using Deep Neural Networks and Random Forests

M Schnieder - Sustainability, 2023 - mdpi.com
Background: Conventional bike sharing systems are frequently adding electric bicycles. A
major question now arises: Does the bike sharing system have a sufficient number of ebikes …

[HTML][HTML] An analytical framework for modeling ride pooling efficiency and minimum fleet size

S Mühle - Multimodal Transportation, 2023 - Elsevier
Ride pooling (RP) is a transport mode using on-demand buses to combine the trips of
multiple users into one vehicle. Its required fleet size and carbon emissions are quantified by …

Pattern diversity based trip-level impact evaluation on mileage and emissions of on-demand ride-splitting

D Zhi, Y Lv, H Sun, Z Gao, X Feng, Z Gao - Transportation Research Part C …, 2024 - Elsevier
Ride-splitting offers significant potential for reducing travel mileage and emissions.
However, the patterns of ride-splitting demonstrate both diversity and complexity, yet there …

Ride‐pooling in the light of COVID‐19: Determining spatiotemporal demand characteristics on the example of MOIA

F Zwick, E Fraedrich… - IET Intelligent Transport …, 2023 - Wiley Online Library
The mobility provider MOIA operates Europe's largest contiguous electric ride‐pooling
service in Hamburg, representing a testbed of how shared and digitized transport can help …