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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SimFLEX: A methodology for comparative analysis of urban areas for implementing new on-demand feeder bus services
Vasiutina, Hanna,
Shulika, Olha,
Bujak, Michał,
Ghasemi, Farnoud,
and Kucharski, Rafał
Journal of Public Transportation
2025
On-demand feeder bus services present an innovative solution to urban mobility challenges, yet their success depends on a thorough assessment and strategic planning. Despite their potential, a systematic methodology for selecting suitable service areas remains underdeveloped. Simulation Framework for Feeder Location Evaluation (SimFLEX) utilizes spatial, demographic, and transportation-specific characteristics to conduct simulations at a microscopic level and compute various key performance indicators (KPIs), including service attractiveness, waiting time reduction, and added value. To address the stochastic nature of demand and uncertainty embedded in mode choice, we leverage Monte Carlo analysis, capturing variability across simulated scenarios. Our framework integrates several methods for a complete assessment of feeder potential: microscopic demand generation, creation of shared rides, public transport modeling, and iterative traveler learning and stabilization approach. Once the system stabilizes, KPIs are computed for comparative and sensitivity analyzes. As a showcase for our method, we apply SimFLEX to compare two remote districts in Krakow, Poland – Bronowice and Skotniki – designated as candidates for service deployment. Despite similar urban characteristics, our analysis revealed notable differences in KPIs between the analyzed areas: Skotniki exhibited higher service attractiveness (around 30 %) and added value (up to 7 %), whereas Bronowice showed greater potential for reducing waiting times (around 77 %). To assess the robustness of SimFLEX outputs under uncertain behavioral assumptions, we conducted a sensitivity analysis across a range of alternative-specific constants. The results consistently confirmed Skotniki as the more suitable candidate for feeder service implementation, demonstrating that this conclusion holds despite variations in a key preference parameter. The SimFLEX framework can be instrumental for decision makers to estimate feeder potential for a designated area. The model’s flexibility and modular characteristics make it a versatile tool for policymakers and urban planners to enhance urban mobility.
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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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Shaping the optimal technology for servicing the long-distance deliveries of packaged cargo by road transport
Naumov, Vitalii,
Shulika, Olha,
Orda, Oleksandra,
Vasiutina, Hanna,
Bauer, Marek,
and Oliskevych, Myroslav
Sustainability
2022
Simulation models of transport systems are a key tool for solving many problems in the field of management of these systems. The methodologies for creating such models use datasets on both transport infrastructure and demand for the delivery of goods or passenger transport, however, many factors are considered based on assumptions due to the complexity. This article describes the approach to modeling the cargo transportation system for road transport in Poland based on data obtained by the Central Statistical Office from the TD-E survey. This approach avoids many assumptions about demand as the demand parameters are estimated based on a sample representing the general population—a set of all economic entities generating freight traffic. Basic procedures in the developed approach have been implemented as Python scripts. As a result of the use of the proposed methodology, a country-wide road transport model was obtained based on the TD-E survey from 2018. The adequacy of the developed model was assessed based on the results of the General Traffic Measurement from 2015. The obtained model is of satisfactory quality (the coefficient of determination equals 0.62), which can be improved after calibrating the space resistance functions and improving the traffic distribution procedure.
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Determining the acceptable walking distance when servicing cars by parking facilities
Severyn, Oleksandr,
Kholodova, Olha,
Shulika, Olha,
Semchenko, Nataliia,
and Novikova, Yevgeniya
In AIP Conference Proceedings
2021
A definition of the “attractive” average walking distance in the downtown using the “gravity centre” criterion to determine the location of the vehicle parking facility has been suggested. The application of the criterion is based on the demanded quantity of parking spaces near the trip destination. The calculations have shown the possibility of reducing the walking distance when covering the vast majority of users, which will contribute to a positive decision by the majority of potential users to use the suggested parking facility, and will also provide a certain guarantee of improving the economic performance of the parking systems.
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Modelling of the route network for perishable cargo delivery in the regional traffic on the basis of petri nets
Potaman, O,
Shulika, O Orda,
and Orda, O
Naukovo-Tekhnіchnij Zbіrnik \guillemotleftKomunal’ne Gospodarstvo MіsT
2021
The article is devoted to the features of the organization and technology of delivery of perishable goods in small batches by road in regional traffic. It has been established that when planning this type of cargo delivery, it becomes necessary to determine such routes bypassing specified points, at which the time of delivery of perishable goods to points of sale will be minimal. Thus, as a criterion that determines the rationality of building a route network for the delivery of perishable goods in regional traffic, has been defined the time of cargo’s delivery in small batches in regional traffic. The route network for the delivery of perishable goods with a minimum delivery time is considered rational. To analyze the execution time of each delivery phase and take into account the time and quantitative parameters that affect the delivery process, the study built a model which is based on the theory of Petri nets. The parameters of the model were established on the basis of the reporting data of the private enterprise "Samoilenko A.I.". The model took into account time parameters and quantitative factors affecting the process of delivery of perishable goods in regional traffic. An experiment was carried out using the developed model. The obtained value of the integral error of the data discrepancy throughout the system allows us to assume that the constructed model adequately reproduces the process of delivery of perishable goods in small batches by road in regional traffic. Taking into account the results of delivery process’ modeling, using the method of a short connecting network, a rational route network was built in the study, which consists of six routes. The effect was determined as a time difference for the delivery system along the network of rational route network and along the existing network, which amounted to 131 minutes.
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Method of Ensuring the Technical Readiness of Transport Companies Fleet Due to the Region’s Capabilities
Holovnia, Serhii,
Naumov, Vitalii,
and Shulika, Olha
Research Methods in Modern Urban Transportation Systems and Networks
2021
To ensure the activity of motor transport companies, it is necessary to guarantee the required level of technical readiness of the fleet. Given the diversity of vehicle models and the territorial distribution of companies, the task of creating their own static and mobile repair units may be economically impractical. To choose a rational variant for the organization of vehicle maintenance in a region, it is necessary to develop tools that will provide both technical readiness and a given level of costs. We have developed a method that allows finding a balance between a given level of readiness of vehicles and the funds allocated for its maintenance. In contrast to the existing methodologies, our approach considers the possibility of receiving group requests by companies and assesses the ability of third-party companies to service vehicles depending on their own flow of customers. The proposed method allows considering a set of motor transport companies in the region as one system for which the most expedient variant of involvement of motor companies in the servicing process can be assessed.
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