Abstract

Urban Freight Distribution (UFD) represents a very important activity in terms of cities economy, but can also be a problem for the daily life of citizens, due to traffic, noise and environmental contamination. Therefore UFD activities must be managed cautiously, to avoid or minimise external negative effects. In this context, this research aims to evaluate existing UFD measures, ranking the m from the best to the worst one, according to experts’ opinions. The proposed evaluation process is flexible in order to allow evaluating future UFD measures that may arise.

Abstract

Digital technologies have increased the influence of technology in business, even changing busi- ness models and strategies of organisations. This influence, called Digital Transformation of Business (DT), happens when there is an increase of the number of digital connections, infor- mation and interactions. This phenomena has been defined as Digital Density (DD) and aims to provide an assessment of the digitalization status of an organization. With the concept of DD we propose the DD Framework, that has two parts: qualitative and quantitative. In order to support both parts we simulate the effect that a platform for smartphones called Waze has on the traffic flow of a city. For the qualitative side, we redefine the concept of DD and with Business Model CANVAS we compare the changes introduced by Waze in the business model. The quantitative part of the simulation is performed with MATLAB and its goal is to under- stand how an agent chooses the path to drive from point A to point B. As expected, we prove that with more information agents can estimate better the costs of the different paths. Despite, even if our simulation seems to prove that the more information the agents have the better the system works, we introduce an analogy with the Braess Paradox to find potential problems and provide solutions for them. We conclude with a proposal of future work.

Abstract

This study computes linear regression models to predict taxi in and out times at Barcelona-El Prat Airport using R software. Taxi time results are given for each stand as a function of the hour of the day. Also, it is analysed how many variables are influencing the time with their relevancy degree. The study has been carried out using airports daily operational data for the months of June, July and August 2013. Peer Reviewed Document type: Article

Abstract

Demand Responsive Transportation (DRT) is currently growing in our cities as shared ride-hailing services operated by private companies, providing a hybrid service between the bus and the taxi. Like DRT, these new on-demand services could be used to feed and complement the public transport, and additionally, their flexibility might bring other market opportunities, beneficial to cities and metropolitan areas. However, the true potential of them, as well as the recognition of the service requirements depending on the type of user and use case, remains unstudied. Hence, the aim of this research is to identify user requirements and market opportunities, from the case study conducted with the participation of 1211 users of the MOIA service test in Hanover, to contribute to the successful design of this new generation of DRT. Results indicate a high interest in using MOIA for leisure trips, identify the highest intention of use of the service within suburban areas, and recognise a different behaviour, both in the intention of use and for user requirements, depending on the age of the users and the usage frequency. Peer Reviewed