A simulation framework for the design of a station-based bike sharing system

TL;DR

This paper introduces a simulation framework to aid in designing and revising station-based bike-sharing systems, optimizing key operational and strategic decisions based on real-case experience.

Contribution

It presents a novel simulation framework tailored for BSS decision-making, incorporating real-world data for effective system design and adaptation.

Findings

Supports strategic and operational decision-making

Optimizes station sizing and fleet management

Adapts to changing conditions in BSS operations

Abstract

Many cities and towns offer to citizens a Bike-Sharing System (BSS). When a company starts the service, multiple decisions have to be taken at strategic, tactical, and operational level. When the service is in place, it is often necessary to adapt these decisions to changed conditions. In this paper, starting from the experience gained in the real-case of Bicimia in Brescia, Italy, we present a simulation framework to support decisions in the design or revision of a BSS, including the shifts of the operators, the number of vehicles and their capacity, the sizing of the stations, and the sizing of the fleet of bikes.