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Bike Sharing Systems: Does demand forecasting yield a better service?
Related publications (42)
Demand-based operations of vehicle sharing systems
Vehicle sharing systems (VSSs) allow users to rent vehicles for a short period of time, in a more flexible and convenient manner compared to the traditional vehicle rental services. The long-term VSS subscription replaces the need for contract signing for ...
EPFL2023Optimizing Sales Forecasting, Inventory, Pricing and Sourcing Decisions
In this thesis we address various factors that contribute both theoretically and practically to mitigating supply demand mismatches. The thesis is composed of three chapters, where each chapter is an independent scientific paper. In the first paper, we dev ...
EPFL2023Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations
Ekaterina Krymova, Nicola Parolini, Andrea Kraus, David Kraus, Daniel Lopez, Markus Scholz, Tao Sun
Background:Short-term forecasts of infectious disease burden can contribute to situational awareness and aid capacity planning. Based on best practice in other fields and recent insights in infectious disease epidemiology, one can maximise the predictive p ...
eLIFE SCIENCES PUBL LTD2023A general framework to evaluate different rebalancing operations strategies in one-way car sharing systems
Michel Bierlaire, Nikola Obrenovic, Selin Ataç
Car sharing systems (CSSs) are one of the environmentally beneficial solutions in urban transportation. However, the operators still struggle to make these systems profitable. One of the main contributors in operational cost is rebalancing operations. Ther ...
Springer2023A data fusion approach for ride-sourcing demand estimation: A discrete choice model with sampling and endogeneity corrections
Michel Bierlaire, Prateek Bansal
Ride-sourcing services offered by companies like Uber and Didi have grown rapidly in the last decade. Understanding the demand for these services is essential for planning and managing modern transportation systems. Existing studies develop statistical mod ...
2023The splay-list: a distribution-adaptive concurrent skip-list
Amirkeivan Mohtashami, Dan Alistarh
The design and implementation of efficient concurrent data structures has seen significant attention. However, most of this work has focused on concurrent data structures providing good worst-case guarantees, although, in real workloads, objects are often ...
SPRINGER2023Vehicle sharing systems: Does demand forecasting yield a better service?
Michel Bierlaire, Nikola Obrenovic, Selin Ataç
Although the idea of vehicle sharing systems (VSSs) emerges back in 1940s, sustaining such a system became simpler with the improvements in technology in the past decade. In addition to that, people have become more concerned about environmental effects an ...
2020Generating daily activity schedules using machine learning Master Thesis Sergej Gasparovich June 19, 2020 Prof. M. Bierlaire, J. Pougala, T. Hillel Transport and Mobility Laboratory, EPFL Y. Liu Visual Intelligence
The study of how people schedule their daily activities is of interest in the context of transport demand forecasting using activity based-models, where activity schedules are generated in order to estimate the trip demand they produce. Machine learning ha ...
2020Analysis of the value of demand forecasting within vehicle sharing systems
Vehicle sharing systems (VSSs) are becoming increasingly popular, primarily due to their financial and environmental advantages. However, VSSs face many operational challenges, including inventory management of vehicles and parking spots, vehicle load bala ...
2019Demand forecasting for a novel transportation mode
The vehicle sharing systems (VSSs) are becoming more and more popular due to both economic and environmental effects. However, these systems mainly focus on two specific types of vehicles: bicycles and cars. Recently, some other types of vehicles (e.g. lig ...
2019