A systematic literature review on machine learning in shared mobility
J Teusch, JN Gremmel, C Koetsier… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Shared mobility has emerged as a sustainable alternative to both private transportation and
traditional public transport, promising to reduce the number of private vehicles on roads …
traditional public transport, promising to reduce the number of private vehicles on roads …
The cost of convenience: Ridehailing and traffic fatalities
We examine the effect of the introduction of ridehailing in US cities on fatal traffic accidents.
The arrival of ridehailing is associated with an approximately 3% increase in the number of …
The arrival of ridehailing is associated with an approximately 3% increase in the number of …
Using a GIS-based spatial approach to determine the optimal locations of bikeshare stations: The case of Washington DC
Today, the number of cities implementing bike-share programs is remarkably increasing.
One of the critical elements of implementing a successful bike-share program is integrating it …
One of the critical elements of implementing a successful bike-share program is integrating it …
How do on‐demand ridesharing services affect traffic congestion? The moderating role of urban compactness
The role of information technology (IT) in managing operations that support environmentally
sustainable growth has been emphasized a lot in operations management and information …
sustainable growth has been emphasized a lot in operations management and information …
Optimizing bikeshare service to connect affordable housing units with transit service
Affordable housing and transit accessibility have long been focal points for housing and
urban development agencies at all levels, from national to regional. However, these …
urban development agencies at all levels, from national to regional. However, these …
Exploring the potential role of bikeshare to complement public transit: The case of San Francisco amid the coronavirus crisis
The recent worldwide SARS-CoV-2 (COVID-19) pandemic has reshaped the way people
live, how they access goods and services, and how they perform various activities. For …
live, how they access goods and services, and how they perform various activities. For …
Bike sharing demand prediction based on knowledge sharing across modes: A graph-based deep learning approach
Bike sharing is an increasingly popular part of urban transportation systems. Accurate
demand prediction is the key to support timely re-balancing and ensure service efficiency …
demand prediction is the key to support timely re-balancing and ensure service efficiency …
Rebalancing in bike sharing systems: Application to the Lisbon case study
MR Chastre, AR Andrade - Case studies on transport policy, 2023 - Elsevier
This work presents a mathematical programming formulation for the static Bike Rebalancing
Problem to meet the practical constraints faced by the operators of Bike Sharing Systems …
Problem to meet the practical constraints faced by the operators of Bike Sharing Systems …
Identification of metro-bikeshare transfer trip chains by matching docked bikeshare and metro smartcards
Metro-bikeshare integration, an important way of improving the efficiency of public
transportation, has grown rapidly during the last decades in many countries. However, most …
transportation, has grown rapidly during the last decades in many countries. However, most …
Enhancing the accuracy of peak hourly demand in bike-sharing systems using a graph convolutional network with public transit usage data
With the growth of the bike-sharing system, the problem of demand forecasting has become
important to the bike-sharing system. This study aims to develop a novel prediction model …
important to the bike-sharing system. This study aims to develop a novel prediction model …