Research Class: Modelling public bicycle transport by using data mining

Datum održavanja: 24. studenog 2021. u 10:00 sati u učionici S-32 uz online prijenos
Predavač: Matej Babič, Faculty of information studies, Novo mesto, Slovenia
Naziv predavanja: Modelling public bicycle transport by using data mining

Sažetak:

Bike-sharing systems not only facilitate people with the trouble of the first and last mile but also provide them with a sustainable and carbon-free mode of transportation. A bicycle-sharing system, public bicycle scheme, or public bike share scheme, is a service in which bicycles are made available for shared use to individuals on a short term basis for a price or free. Many bike share systems allow people to borrow a bike from a "dock" and return it at another dock belonging to the same system.  With an increasing urban population and increasing daily traffic, the development of more sustainable urban transport systems is crucial in many cities around the world. Increasingly, public transport and cycling are being encouraged to alleviate traffic problems such as traffic congestion, pollution, expensive road infrastructure, accidents and congestion. The relationship between bike-sharing system and other transportation systems is getting more and more attention. Scholars analyzed the impact of bike-sharing on walking, cars, public transportation, and subways. To better understand the characteristics of a bike-sharing system, we applied complex network methods to analyze the relationship between stations within the bike-sharing system. Public passenger transport is an integral part of modern urban infrastructure and a means of daily population migration. Provides access to economic functions and the social needs of all segments of the population, including those who cannot afford a private car (low-income people) who do not have the physical ability to drive a car or who do not have a driver's license (minor children, the elderly) people with health problems and people with disabilities). Thus, municipal public transit is one of the mechanisms for guaranteeing citizens the constitutional right to work, education, health care and recreation. In addition, the PPP industry is itself a source of jobs. I use program Pajek to analyze topological properties of 14 stations for bike rental for 35 weeks in city Novo mesto, Slovenia. In the end, I will present hybrid system of machine learning method to model rental bike for 35 weeks.

CV:

Matej Babič received his Ph. D. degree in Computer Science in 2014 from the Faculty of Electrical Engineering and Computer Science of the University of Maribor, Slovenia. He studied Mathematics at the Faculty of Education in Maribor. He concluded postdoc at Jožef Stefan Institute, Ljubljana, Slovenia. At this time, he is Assistant Professor at Faculty of information studies, Novo mesto, Slovenia. His research interest is in fractal geometry, graph theory, intelligent systems, hybrid machine learning, public transport and topography of materials after hardening.

 

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