Passenger flow management is an important issue at many airports around the world. There are high concentrations of passengers arriving and leaving the airport in waves of large volumes in short periods, particularly in big hubs. This might cause congestion in some locations depending on the layout of the terminal building. With a combination of real airport data, as well as synthetic data obtained through an airport simulator, a Long Short-Term Memory Recurrent Neural Network has been implemented to predict the possible trajectories that passengers may travel within the airport depending on user-defined passenger profiles. The aim of this research is to improve passenger flow predictability and situational awareness to make a more efficient use of the airport, that could also positively impact communication with public and private land transport operators.
The Dutch government, in alignment with the Paris climate agreement, has expressed the ambition to reduce CO 2 emissions in the Netherlands by 49% in 2030 compared to 1990. As freight transport is recognized as a serious CO 2 emitter, this sector is confronted with a substantial part of the target. For cities, the reduction of the urban freight transport emissions is, next to the CO 2 reduction, also important to improve the air quality. Dutch municipalities take an active role in coordination, facilitation and acceleration of the emission reduction processes, not only via regulation but also by using their public procurement power. This paper describes the City of Rotterdam's experiences from the EU Horizon 2020 BuyZET project. This project was launched in November 2016 and includes the cities of Rotterdam, Oslo and Copenhagen. The project aims at understanding and optimising the impact of public procurement activities on transport patterns and emissions in cities as well as to find innovative and sustainable delivery solutions for goods and services-related transport in order to reduce emissions.
MULTIFILE
Abstract: Climate change is related with weather extremes, which may cause damages to infrastructure used by freight transport services. Heavy rainfall may lead to flooding and damage to railway lines, roads and inland waterways. Extreme drought may lead to extremely low water levels, which prevent safe navigation by inland barges. Wet and dry periods may alternate, leaving little time to repair damages. In some Western and Middle-European countries, barges have a large share in freight transport. If a main waterway is out of service, then alternatives are called for. Volume- and price-wise, trucking is not a viable alternative. Could railways be that alternative? The paper was written after the unusually long dry summer period in Europe in 2022. It deals with the question: If the Rhine, a major European waterway becomes locally inaccessible, could railways (temporarily) play a larger role in freight transport? It is a continuation of our earlier research. It contains a case study, the data of which was fed into a simulation model. The model deals with technical details like service specification route length, energy consumption and emissions. The study points to interesting rail services to keep Europe’s freight on the move. Their realization may be complex especially in terms of logistics and infrastructure, but is there an alternative?
MULTIFILE
