The COVID–19 pandemic led to restrictions on activities and mobility in many parts of the world. After the main peak of the crisis, restrictions were gradually removed, returning to a new normal situation. This process has impacted urban mobility. The limited information on the new normal situation shows changes that can be permanent or reversible. The impact on the diverse urban transport modes varies. This study analyzes the changes in transit ridership by line, the use of stops, the main origin–destination flows, changes in transit supply, operation time, and reliability of the city bus network of A Coruña. It is based on data from automatic vehicle location, bus stop boarding, and smart card use. Data from the first half of 2020 were compared to similar data in 2017–2019, defining suitable baselines for each analysis to avoid seasonal and day of week effects. The impact on transit ridership during the lockdown process was more significant than that on general traffic. In the new normal situation, the general traffic and the shared bike system recovered a higher percentage of their previous use than the bus system. These impacts are not uniform across the bus network.
Wear is a very important subject for railway administrations. Therefore, it would be of interest to develop a methodology for designing wheel profile geometry in order to improve its behaviour in relation to this subject. Until now, existing approaches of this kind are based on the statistical study of wear wheel profiles, but this do not consider the characteristics of vehicles and railway tracks, and in addition, it is not an option when a vehicle is going to run, for example, over two different types of track over which mixed running has not previously happened. In the current paper, a new general methodology is presented for improving wheel profiles in relation to certain physical phenomena that arise during the running of the vehicle over the tracks. This methodology is based on the genetic algorithm (GA) technique. To show the power of this procedure, it is applied to an application case (of a tram-train in Spain), in which great improvements in the behaviour of wheel profile are achieved. In the light of this application, the importance of definition of indexes which control the evolution of the GA is shown.
1 January 2002 in Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit
In response to the demand for improved mobility in metropolitan areas, the 1990s saw the development in Europe of a new transport system known as the tram-train. This system is based on the use of conventional railway lines with a low traffic density in order to extend urban tram or light rail services without the need to change vehicle, incorporating them into railway traffic. This allows for a wider range and scope of direct transport services and reduces waiting times and changes. The operation of light rail vehicles on conventional railway infrastructure involves finding solutions to a number of technical issues such as traction power supply system, rolling stock design, gauge, tyre and rail profile, structural strength, passenger access, signalling, etc. This paper describes these problems and the solutions arrived at by services currently in operation, or in advanced planning stages, worldwide.
Ecological footprint (EF) determines the area of ecologically productive territory necessary to produce the resources utilised and to assimilate the waste produced by a given population over a year. Knowing your own EF is the first step in planning and implementing policies to reduce it. Considering that transport is a significant component of the impact of human activity on the environment, this study calculates the EF of the CO2 emissions associated with person mobility (EFM) at the University of A Coruña (UDC). The results presented are based on statistical inference from surveys conducted in 2008, 2016, and 2020. The period 2008–2016 coincides with the effects of the economic crisis, and 2020 with those of the COVID-19 pandemic. The EFM of UDC in 2016 was 2177 global hectares (gha), 148 times its biocapacity. Ninety-two percent of it was generated by car trips. Policies to reduce the environmental impact of mobility should focus on reducing car use. This study analyzes various factors of variability. The EFM per capita of the commutes from the place of residence to the UDC campuses grew between 2008 and 2020 by 17%. The results obtained are compared with those of other nearby universities and around the world.
16 May 2022 in Transportation Research Part B: Methodological