I am an Assistant Professor at the Faculty of Mathematics and Computer Science of Jagiellonian University in Krakow. Currently working as part of a group led by Prof. Rafal Kucharski at the PI position in a EU co-funded Seamless Shared Urban Mobility (SUM) project that aims to help cities integrate New & Shared Modes with public transport. Before that I was part of the team under the NCN Opus Grant on Shared Mobility in pandemic times.
My primary area of interest is the implementation of more sustainable and efficient transportation systems to improve living conditions in cities. With my background in the transportation area and experience in data analysis and programming, I work with a simulation model, Dataset, Python Library used to plot data. I have many years of experience in complex logistic system research and urban mobility, as well as scientific project management.
List of main publications and preprints
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Can we start sharing our rides again? The post-pandemic ride-pooling market
Shulika, Olha,
and Kucharski, Rafal
Transport and Telecommunication
2025
Before the pandemic, ride-pooling was a promising mode of urban mobility, marked by increasing service providers and increasing traveller adoption, critical to its efficiency and sustainability. However, the COVID-19 pandemic caused significant disruption, with services suspended, business models altered, and reduced traveller confidence. In the post-pandemic era, understanding the future of ride-pooling is crucial. This article reviews the market through literature, pooling availability, and traveller behaviour studies. We find that the core elements of the ride-pooling model remain intact, with potential to appeal to travellers, drivers, platforms, and policymakers. Changes in travel behaviour due to the pandemic appear temporary, with a high willingness to share rides and reduce costs. However, whether ride-pooling can regain its growth remains uncertain. Despite unprecedented start-up activity, the financial prospects are unclear, posing challenges to its resurgence as a sustainable mobility solution.
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Spatiotemporal variability of ride-pooling potential – Half a year New York City experiment
Shulika, Olha,
Bujak, Michal,
Ghasemi, Farnoud,
and Kucharski, Rafal
Journal of Transport Geography
2024
Ride-pooling systems, despite being an appealing urban mobility mode, still struggle to gain momentum. While we know the significance of critical mass in reaching system sustainability, less is known about the spatiotemporal patterns of system performance. Here, we use 1.5 million NYC taxi trips (sampled over a six-month period) and experiment to understand how well they could be served with pooled services. We use an offline utility-driven ride-pooling algorithm and observe the pooling potential with six performance indicators: mileage reductions, travellers’ utility gains, share of pooled rides, occupancy, detours, and potential fleet reduction. We report distributions and temporal profiles of about 35 thousand experiments covering weekdays, weekends, evenings, mornings, and nights. We report complex spatial patterns, with gains concentrated in the core of the network and costs concentrated on the peripheries. The greatest potential shifts from the North in the morning to the Central and South in the afternoon. Offering pooled rides at the fare 32% lower than private ride-hailing seems to be sufficient to attract pooling yet dynamically adjusting it to the demand level and spatial pattern may be efficient. The patterns observed in NYC were replicated on smaller datasets in Chicago and Washington, DC, the occupancy grows with the demand with similar trends.
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Developing an efficient road-based batch freight delivery technology for intercity connections with a focus on resource conservation
Shulika, O,
Orda, O,
Potaman, N,
and Yashchuk, Y
Транспортні системи і технології
2023
In this paper, we propose the solution of the scientific and applied problem of batch freight delivery in the intercity by road in terms of system’s limited resource of the system due to the development of long-distance freight delivery technology in terms of resource savings and the observation of the established level of reliability of the freight delivery functioning of the logistics system (FDLS). For certain parameters of cargo flow with limited resources of the transport market entities involved in the delivery process, the formation of a resource-saving delivery technology allows maximising the effect of the functioning of the system of delivery of consignment cargo by road in intercity traffic. To solve the problem, we used methods of mathematical modelling, a systematic approach, optimization methods (functions of many variables), the provisions of probability theory and mathematical statistics, methods of regression analysis. For the given operating conditions of the developed logistics system, the rational technology of long-distance batch freight delivery has been determined in terms of resource savings. It will reduce overall costs by 13.9% for the given level of the readiness of FDLS.
