Transport Engineer and PhD Researcher focused on freight systems, accessibility, and real-world infrastructure performance.
I study how transport infrastructure shapes economic access, especially in freight systems that most people depend on but rarely notice.
Published research, simulation models, and real-world infrastructure analysis.
I work on understanding how infrastructure limitations affect freight movement and economic connectivity. My work combines simulation, data analysis, and real-world transport systems to identify inefficiencies and improve accessibility.
This paper proposes a conceptual framework for evaluating transport poverty in freight transportation through accessibility-based indicators. While transport poverty is commonly discussed in relation to passenger mobility, freight systems also shape economic connectivity by affecting the ability of businesses, regions, and communities to access logistics services and supply networks. The study defines freight transport poverty through three main dimensions: freight network accessibility, logistics service availability and reliability, and economic accessibility. The proposed framework provides a basis for identifying areas where infrastructure limitations, poor connectivity, or service gaps create hidden disadvantages in freight movement. By linking accessibility indicators with freight system performance, the paper contributes to a broader understanding of transport poverty beyond passenger transport and supports more evidence-based infrastructure and logistics planning.
>- The quick digitization of transportation systems has made the adoption of digital twins better, quicker and more needed. This would enable better monitoring, simulation and optimization of transport infrastructure, vehicles and logistics networks. However, the effectiveness of digital twin environments depends on the exchange of large volumes of data between assets, sensors and digital platforms that are available. Ensuring data integrity, trust and the validity of such connected systems remains the major challenge, especially in the context of smart transportation ecosystems. Blockchain technology has begun as a promising solution for addressing these challenges by providing decentralized and transparent mechanisms for data validation and secure communication. By leveraging distributed ledger technologies and smart contracts, blockchain can enhance trust among stakeholders, protect critical transportation data from manipulation and support strong and reliable communication between digital twin components. This chapter will explore the integration of blockchain technology with digital twin architectures in smart transportation systems. It will examine the role of blockchain in strengthening data security, ensuring traceability, and enabling decentralized coordination between physical and virtual transportation assets. The chapter will review current research developments, propose a conceptual framework for available digital twin communication, and discuss potential applications in intelligent transportation systems, autonomous mobility, and logistics networks. Finally, the chapter will highlight implementation challenges including scalability and regulatory considerations, while outlining future research directions for secure and resilient smart transportation ecosystems.
> Freight accessibility depends not only on network connectivity but also on the engineering quality of roads. This study introduces a framework that integrates pavement condition and geometric design into freight accessibility analysis. Eight freight corridors connecting logistics zones to expressway interchanges in Warsaw were evaluated. Accessibility Efficiency Scores (AES) were computed from observed distance and travel time and adjusted using Surface and Constraint Factors derived from engineering assessment. The Freight Accessibility Penalty (FAP) quantified the proportion of accessibility loss caused by physical deficiencies. Results showed significant variation among corridors: eastern Lubelska and western Pruszków connections achieved the highest adjusted accessibility. In contrast, in inner city such as Okęcie and Targówek exhibited the highest penalties (FAP ≈ 0.145, a 14.5% loss), driven by the effect of poor pavement quality (Surface Factor = 0.90) and geometric constraints (Constraint Factor = 0.95). The findings demonstrate that infrastructure quality can alter freight efficiency even in well developed networks. The proposed FAP offers a transparent metric for identifying infrastructure related transport poverty and prioritising maintenance investments.
> Reconstructing cities after war is not only a task of rebuilding damaged infrastructure. It is also a rare chance to apply modern planning ideas and technologies that improve how cities function. This research highlights how postwar reconstruction can be guided by smart city principles, with a special focus on freight transport and electromobility (also as the key critical infrastructure factors). Freight networks are essential to everyday life, yet they are often ignored in urban planning. By planning for clean and fair freight access during reconstruction, cities can support both social inclusion and economic recovery.
Digital shadowing uses powerful simulation technologies to mimic real-world traffic networks, allowing data-driven solutions to improve urban mobility. PTV Vissim, a microscopic traffic simulation software, is applied in this study to mimic the 79th Street in Musaffah, Abu Dhabi (the capital of United Arab Emirates). The simulation model was built and calibrated using traffic data obtained manually by the research team during peak and off-peak hours. By simulating real-world traffic circumstances, the model identifies congestion points and evaluates proposed interventions with a view to improve traffic flow and reduce congestion. The findings show that digital shadowing may be used to manage and optimize urban traffic, providing transportation planners with relevant knowledge.
This research examines transport poverty in freight transportation, focusing on how infrastructure limitations, accessibility gaps, and logistical inefficiencies affect economic connectivity. The study analyzes engineering challenges, evaluates system-level impacts on supply chains and regional development, and proposes strategic solutions to improve freight accessibility. A combination of analytical and simulation-based approaches is used to assess network performance and identify areas of intervention.
I work at the intersection of transport engineering, simulation, and infrastructure analysis. My focus is on understanding how real-world systems operate under constraints, and how they can be improved for the people and businesses that depend on them.
Currently completing a PhD at the Faculty of Transport, Warsaw University of Technology, where I also teach and support courses in engineering and transport systems.
Alongside research, I photograph places the way I study them, slowly and deliberately, looking for what gets overlooked. Lately that means film-style settings, grain, and the quiet geometry of everyday environments.
Everyone talks about buses, metros, and whether poor neighbourhoods have access to jobs. Nobody asks whether the businesses in those neighbourhoods can actually receive goods, ship products, or stay connected to supply chains. That silence is what my PhD is about.
ResearchMost infrastructure does not fail dramatically. It continues to function, but introduces small frictions that gradually reshape how systems perform.
ResearchTransport poverty is usually discussed through passenger mobility, but freight systems also shape economic access. This post explains why freight accessibility deserves more attention in transport research and planning.
ResearchA road can exist on a map and still perform poorly in reality. Freight accessibility depends not only on connectivity, but also on quality, reliability, and the hidden friction inside the network.
Research