Nowadays, public bicycle sharing systems have become popular and widespread across the world. Their usefulness largely depends on their ability to synchronize with citizens’ usage patterns optimize re-balancing operations that must be carried out reduce outages. Two crucial factors tackle this problem are stations’ characteristics (geography, location, etc) availability of bikes drop-off slots....

Bicycle sharing programs provide a sustainable mode of urban transportation. Although cities across the globe have developed these systems for their citizens and visitors, usage rates are not as high as anticipated. This research uses the technology acceptance model as the basis to understand one’s intention to adopt bicycle sharing programs. Using survey data derived from 421 participants in B...

In China, Hangzhou is the first city to set up the Public Bicycle System. Now, the system has been the largest bike sharing program in the world. The software of Hangzhou Public Bicycle System was developed by our team. Accurate and precise prediction of public bicycle traffic flow is important in traffic planning, design, operations, etc. According to the highly complexity, nonlinearity and un...

In 2008, a pioneering, Canadian company, Bixi, launched an urban bicycle-sharing program. With six years of award-winning success, Bixi’s bicycles rode to the rescue of commuters, the environmentally-friendly and the health-conscious in Toronto, Ottawa and Montreal. Despite the acclaim, the company’s success came to an untimely end in February 2014 when it filed for bankruptcy. The city of Toro...

As a new generation of Public Bicycle-sharing Systems (PBS), the Dockless PBS (DL-PBS) is an important application cyber-physical systems and intelligent transportation. How to use artificial intelligence provide efficient bicycle dispatching solutions based on dynamic rental demand essential issue for DL-PBS. In this article, we propose MORL-BD, algorithm multi-objective reinforcement learning...

This paper proposes a multi agent system that provides visualization and prediction tools for bike sharing systems (BSS). The presented multi-agent system includes an agent that performs data collection and cleaning processes, it is also capable of creating demand forecasting models for each bicycle station. Moreover, the architecture offers API (Application Programming Interface) services and ...

OBJECTIVE To estimate the risks and benefits to health of travel by bicycle, using a bicycle sharing scheme, compared with travel by car in an urban environment. DESIGN Health impact assessment study. SETTING Public bicycle sharing initiative, Bicing, in Barcelona, Spain. PARTICIPANTS 181,982 Bicing subscribers. Main outcomes measures The primary outcome measure was all cause mortality fo...