Kinga Kijewska

Analysis of Data Needs and Having for the Integrated Urban Freight Transport Management System

One of the key factors necessary for controlling the increasing disorder in the area of urban freight transport and conditioning its sustainable growth is ensuring effective data flows between individual parties engaged, to a smaller or greater extent, in its functioning. Lack of knowledge regarding cargo streams and their direction, structure etc. makes it difficult to control and manage them so as to limit their negative impact on the city organism, particularly on the environment and inhabitants. Additionally, development of information society and continuous digitalisation of different areas of life make it necessary to get control over the data resources regarding urban freight transport, as it is becoming indispensable for its correct functioning. This paper is focused on determining the structures of data relevant for the functioning of sustainable urban freight transport, and establishing the sources of data acquisition.

Analysis of Fleet Management Systems as Solutions Supporting the Optimization of Urban Freight Transport

Fleet Management Systems (FMS) allows to manage a significant amount of spatially distributed objects, providing real-time information about its status and location, as well as information about the environment in which they are located. The amount of information that contemporary FMS can provide to decision makers is enormous and allows for a significant facilitation of transport optimization processes. This means that these systems can be an important support also for the implementation of tasks related to the operation of urban freight transport. The main problem, however, is the selection of the right tool among the many available on the market. The paper uses elements of the analytical hierarchy process (AHP) to evaluate selected Fleet Management Systems from the perspective of the end-user’s needs, with particular emphasis on increasing the time and economic efficiency of the management process.