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Nedávné příspěvky
Analyzing the characteristics of potential last-mile crowdshippers: insights from survey data in Slovenia, Ukraine, and the Czech Republic
(Elsevier, 2024) Bajec, Patricija; Pivtorak, Halyna; Švadlenka, Libor; Vrba, Radek
Crowdshipping, regarded as a promising last-mile delivery solution, especially in urban settings, differs from traditional delivery methods by relying on a critical mass of volunteers known as crowdshippers. Understanding their characteristics is crucial for effective targeting. This study seeks to analyze the willingness of potential crowdshippers to deliver/pick up ordered items (parcels) and sociodemographic characteristics influencing the willingness to work (WTW) as a crowdshipper in three different countries (Slovenia, the Czech Republic, and Ukraine). The primary sociodemographic data are investigated using survey data. Utility functions for decision-making in crowdshipping delivery are derived from questionnaire data processing and a discrete hierarchical Bayesian multimodal logit model was utilized to discern variations among the countries. By examining the unique sociodemographic features of potential crowdshippers in these countries, this study not only uncovers the traits of potential crowdshippers in each country but also points out the differences or similarities among the three different countries. The resulting data enables parcel delivery companies in each country to comprehend better which population groups are potentially more inclined to undertake this job. The comparative insights from this study can provide a basis for developing general business models that can be applied across those countries with some degree of uniformity.
A Set of guidelines and recommendations for the successful implementation of crowdshipping: Pardubice city case study
(University of Pardubice, 2025) Pivtorak, Halyna; Švadlenka, Libor
These recommendations aim to identify key stages of implementing a crowdshipping delivery system based on public transport, ensuring its efficiency and integration with the city’s existing logistics and transport networks. The document contains a description of the general concept of crowdshipping based on the public transport system, steps of the methodology for its implementation in urban last-mile delivery, an analysis of the prerequisites for launching crowdshipping in the city of Pardubice, and recommendations based on the study. The recommendations can be helpful for city authorities, transport operators, logistics companies, retail businesses, and public initiatives interested in creating a more flexible and sustainable delivery system in the city.
Research data supporting "Using public transport system for sustainable urban freight delivery"
(2025) Pivtorak, Halyna; Švadlenka, Libor
The monograph explores innovative solutions for sustainable urban freight delivery through the integration of public transport systems. Focusing on the crowdshipping model, where everyday commuters deliver parcels during their regular trips, the study highlights economic, environmental, and social benefits. Using extensive survey data from Ukraine and the Czech Republic, the authors analyze citizens' willingness to work as crowdshippers and identify key factors influencing participation, applying fuzzy AHP and multinomial logit models. A case study from Pardubice demonstrates the modeling of parcel flows with PTV Visum software. The findings underline the potential of combining public transport with urban freight to reduce emissions, traffic congestion, and delivery costs. Recommendations include establishing supportive legal frameworks, investing in infrastructure such as parcel lockers, and developing digital platforms to facilitate efficient crowdshipping. The monograph offers a roadmap for implementing sustainable and inclusive urban logistics solutions.
Using public transport system for sustainable urban freight delivery
(University of Pardubice, 2025) Pivtorak, Halyna; Švadlenka, Libor
The monograph explores innovative solutions for sustainable urban freight delivery through the integration of public transport systems. Focusing on the crowdshipping model, where everyday commuters deliver parcels during their regular trips, the study highlights economic, environmental, and social benefits. Using extensive survey data from Ukraine and the Czech Republic, the authors analyze citizens' willingness to work as crowdshippers and identify key factors influencing participation, applying fuzzy AHP and multinomial logit models. A case study from Pardubice demonstrates the modeling of parcel flows with PTV Visum software. The findings underline the potential of combining public transport with urban freight to reduce emissions, traffic congestion, and delivery costs. Recommendations include establishing supportive legal frameworks, investing in infrastructure such as parcel lockers, and developing digital platforms to facilitate efficient crowdshipping. The monograph offers a roadmap for implementing sustainable and inclusive urban logistics solutions.
Research data supporting "Shopping Trip Modelling Considering the Impact of Martial Law"
(2025) Zhuk, Mykola; Pivtorak, Halyna; Pruskyi, Yevhen; Skyba, Mykola
The purchasing behavior of the population affects both passenger and freight traffic in cities. On the contrary, indicators of purchasing behavior are influenced by the characteristics of an individual, as well as external factors. The purpose of the conducted research was to analyse the population's purchasing behavior under martial law conditions. Data was collected by surveying residents of Ukraine's rear regions. Multinomial models of the frequency of purchases and transportation choice during shopping were formed. Martial law conditions and changes in the population size in the rear regions, change the general trends in purchasing behavior. The most visible trends are: a significant share of purchases made online, the popularity of shopping close to home, and the tangible impact of owning a car on the frequency and mode of shopping trips. The results obtained may be helpful in predicting consumer behavior in crisis scenarios.