Last mile deliveries are one of the major effectors of heavy traffic of commercial vehicles in the whole city area. Due to e-commerce's generic specificity, its functioning on B2C market is based on home deliveries. In recent years very interesting and popular solution became the parcel lockers as the efficient last mile delivery system. This paper is focused on the analysis of usability and efficiency of this measure based on the example of Polish InPost Company system. It introduces the results of pilot survey realized in Szczecin (Poland), as well as the general expectations regarding the efficient utilization of this kind of solution

The growth of B2C e-commerce market results in the increase of importance of last mile deliveries in the city area. Due to e-commerce's generic specificity, functioning of the deliveries in e-commerce on B2C market is based on home deliveries. Due to influence on the growing demand for deliveries, which consequently could have the impact on traffic and congestion problem as well as city environment, it is important to look for the alternative measures, which will help to reduce this negative impact. In recent years a very interesting and popular solution became parcel lockers as the efficient last mile delivery system. This paper is focused on the assessment of usability of this measure based on the example of InPost company system

Atmospheric emissions of anthropogenic origin are one of the most important problems in cities. A particularly discrete ecological footprint in urban environment is made by urban freight transport. This problem has become the key challenge for all stakeholder groups involved in freight transport in urban areas. Over the recent years, there has been a growing interest in using alternative fuel vehicles in urban logistics, including those equipped with electric drive systems. This paper presents a multi-criteria analysis (MCA) of selected electric vehicles (EVs) in the context of their application for the purposes of deliveries in cities. In methodological terms, we present a unique MCA-based approach for evaluation of Electric Freight Vehicles (EFVs). A successful attempt is made to build a multistep MCA procedure based on two carefully selected MCDA methods (PROMETHEE II and fuzzy TOPSIS) to handle both certain and uncertain data sets in a single decision process. In practical terms, we successfully demonstrate the usefulness of the proposed approach by creating a set of decision maker’s preference models (based on certain and uncertain data) of carefully selected EFVs and provide sensitivity and robustness analyses of the obtained solutions.

Urban areas are centres of business and innovation. Freight transport is indispensable for the proper functioning of any modern urban society. Urban areas cannot function without an appropriate freight transport system, due to the need to replenish stocks of food and other goods in retail shops. The complexity of the decisions concerning implementation of measures to improve the movement of goods in the city requires tools designed to support this process. In this context, a research gap and a research problem occur—how to obtain a reliable set of factors for development of sustainable urban freight transport (UFT). The purpose of this article is to introduce the possibility of applying the Analytic Hierarchy Process (AHP) as well as the Decision Making Trial and Evaluation Laboratory Method (DEMATEL) in choosing a set of measures and in analysing the field of distribution logistics, which will help to solve delivery problems and streamline cargo flow in Szczecin, in the context of sustainable development. This paper presents the findings of a survey in which experts evaluate the main coefficients for sustainable freight transport in the city area. Using both AHP and DEMATEL methods, we have concluded that: (i) all coefficients from administrative, financial, technical and promotional measures are highly interconnected; (ii) strategy of freight transport development should take into consideration how these coefficients influence each other; (iii) P2—eco-driving trainings, T4—alternative delivery systems and P1—promotional campaigns for sustainable transport are the most important criteria and should be priorities for investments; (iv) A1—implementation of loading/unloading and transit restrictions—highly influences other coefficients; (v) T2—intelligent route guidance in freight transport is greatly influenced by them.