A time-period choice model for road freight transport in Flanders based on stated preference data

This paper presents one of the first models explaining the choice of time-period in road freight transport. Policies that would shift some fraction of the trucks from peak to earlier and later periods will contribute to the reduction of congestion. Therefore there is an increasing interest in modelling the time-period sensitivity of road freight transport to changes in travel time and cost by period. The model developed here is based on a stated preference survey amongst receivers of goods in Flanders and was implemented in the strategic freight transport model of the Flemish authorities.     

Flagging out in road freight transport: a strategy to reduce corporate costs in a competitive environment: Results from a longitudinal study in Austria

Following the example of maritime transport, the relocation of fleets abroad – referred to as flagging out – has become an important cost reduction strategy for road freight transport companies. Particularly after the EU Eastern Enlargement in 2004, many Austrian road freight transport companies took advantage of both the freedom of services and the lower costs in New Member States. This paper shows the results of four waves of surveys of Austrian road hauliers, describing developments, attitudes, motives and impacts of the phenomenon. There is also a discussion about the significance of the problem, which was seldom referred to in the scientific literature.     

Comparing proximity for couples of close airports. Case studies on city-airports in the pre COVID-19 era

Following the existing relationships between cities and airports, well depicted in the sectorial literature ((Thierstein and Conventz, 2018), (Tira et al., 2006), (Freestone, 2009), (Percoco, 2010), (Ventura et al., 2020))), this paper aims to investigate the linkages between the touristic traffic of some airports and the related development of the cities in which they are placed. The chosen case studies regard different remote regions (ONU, 2018) of three different countries (Italy, Norway, Cyprus), considering couples of near airports (Dziedzic and Warnock-Smith, 2015). The paper focuses the analysis on four couples of near airports, two from the South of Italy (Bari and Brindisi in the Apulia Region; Palermo and Trapani in Sicily), one in the North of Norway (Bødo and Narvik in Hålogaland) and the last one in the Republic of Cyprus (Larnaca and Paphos).A GIS analytic methodology has been used to describe the differences between the different couples of airports. Managed by the GIS analytical evaluation, the purpose of this paper is to give support to the different theories about the development of couples of close airports, using geographic tools to support economic and financial planning ((Cook and Billig, 2017) (Graham, 2014), (AntonínKazdaa et al., 2017) (Young and Wells, 2011))]. There has been pointed out the results of the adopted methodology on the working Norwegian network system analysis.     

Data-mining,GIS and multicriteria analysis in a comprehensive method for bicycle network planning and design

In many Brazilian cities, the most common procedure for planning cycling networks is using aggregated population data in census tracts, which may not take into account the true origin and destination of trips. It may also not identify potential users of a particular mode of transport. This is particularly important considering that implementing cycling infrastructures should be based on the assumption that they are able to meet the users' needs. Therefore, the aim of this study is to develop and adopt an objective method to design and compare cycling networks based on data-mining of disaggregated origin-destination data, GIS resources, and multicriteria analysis techniques. The method follows three steps: 1) identifying potential users based on real user profiles, 2) designing proposed cycling networks and 3) a comparison between the networks proposed in this study and those developed by the municipality selected as a case study, considering real and potential users, as well as cost and benefit criteria. As a positive outcome, using disaggregated data allows for a reasonable estimate of the number of people served by the networks, a detailed analysis of their proximity to the infrastructure, as well as identifying potential users. Comparing cycling networks considering cost and benefit criteria shows that the chosen criteria were effective. It was also determined that the cycling network of the studied city poorly serves bicycle transport users, if compared to the proposed networks. These findings indicate that appropriate methods for planning cycling networks are still needed.