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Digitalisation has great potential to reduce costs, improve access and enhance user experience. However, it could also increase inequality, with some people struggling to access and use digital services. It is important to understand who is likely to be excluded in this way and why. This can help to identify groups at particular risk of digital exclusion, inform efforts to overcome the barriers, and develop more inclusive digital services. This paper introduces a set of five linked datasets examining a range of user factors affecting the use of digital services. The datasets focus on the use of digital mobility services, but the data is useful in understanding the use of other digital services as well. The user factors considered include technology access, use and competence and attitudes towards digital technology. The datasets were the results of surveys in five European regions and countries (Germany, Italy, Barcelona Metropolitan Area, Flanders and the Netherlands). Samples were taken of the adult (age 16+) population with a total of 3,454 participants. [ABSTRACT FROM AUTHOR]

The outbreak of the social pandemic brought to the foreground the crisis of social reproduction afflicting our societies. However, this new visibility of the importance of care work and the emergence of mutual support networks was not a sufficient condition for the politicization of the reproductive sphere to take place, contrary to what happened during the 2008 crisis. This paper aims to comprehend the reasons why such politicization did not occur by means of a case-study carried out with four focus-groups made up of representatives of mutual support networks established in Barcelona to respond to the needs of the most vulnerable groups of the population. The achieved results show the limits of social reproduction theory to explain politicization theories, as it does not sufficiently acknowledge the state's agency. [ABSTRACT FROM AUTHOR]

Barcelona is in an area of low- to medium-seismicity and its earthquake vulnerability and risk has been assessed in different studies over the last 20 years. Most of these works have developed vulnerability models for the representative building classes of the city, trying to capture their main characteristics, and have been mostly represented through fragility curves. However, due to the lack of data for historical earthquake losses in the city, it has not been possible to validate, nor calibrate, any of these vulnerability models. In the absence of earthquake loss data, the objective of this paper is to compare the earthquake risk results of Barcelona, using common hazard and exposure datasets and different sets of vulnerability functions from previous studies to see how they rank compared with other locations with similar studies but more complete historical loss data. The results show large differences between the analysed vulnerability datasets, with some results that in our view tend to overestimate earthquake risk in Barcelona, and also allow identifying critical aspects that require future research. [ABSTRACT FROM AUTHOR]

Bike-sharing systems have emerged as a significant element of urban mobility, providing an environmentally friendly transportation alternative. With the increasing integration of electric bikes alongside mechanical bikes, it is crucial to illuminate distinct usage patterns and their impact on maintenance. Accordingly, this research aims to develop a comprehensive understanding of mobility dynamics, distinguishing between different mobility modes, and introducing a novel predictive maintenance system tailored for bikes. By utilising a combination of trip information and maintenance data from Barcelona's bike-sharing system, Bicing, this study conducts an extensive analysis of mobility patterns and their relationship to failures of bike components. To accurately predict maintenance needs for essential bike parts, this research delves into various mobility metrics and applies statistical and machine learning survival models, including deep learning models. Due to their complexity, and with the objective of bolstering confidence in the system's predictions, interpretability techniques explain the main predictors of maintenance needs. The analysis reveals marked differences in the usage patterns of mechanical bikes and electric bikes, with a growing user preference for the latter despite their extra costs. These differences in mobility were found to have a considerable impact on the maintenance needs within the bike-sharing system. Moreover, the predictive maintenance models proved effective in forecasting these maintenance needs, capable of operating across an entire bike fleet. Despite challenges such as approximated bike usage metrics and data imbalances, the study successfully showcases the feasibility of an accurate predictive maintenance system capable of improving operational costs, bike availability, and security. [ABSTRACT FROM AUTHOR]

The concept of synthetic dimensions works particularly well in atomic physics, quantum optics, and photonics, where the internal degrees of freedom (Zeeman sublevels of the ground state, metastable excited states, or motional states for atoms, and angular momentum states or transverse modes for photons) provide the synthetic space. In this Perspective article we report on recent progress on studies of synthetic dimensions, mostly, but not only, based on the research realized around the Barcelona groups (ICFO, UAB), Donostia (DIPC), Poznan (UAM), Kraków (UJ), and Allahabad (HRI). We describe our attempts to design quantum simulators with synthetic dimensions, to mimic curved spaces, artificial gauge fields, lattice gauge theories, twistronics, quantum random walks, and more. Quantum simulators study important models of condensed matter and high-energy physics. Research on synthetic dimensions has paved the way for studying exotic phenomena, such as curved space-times, topological phases of matter, lattice gauge theories, twistronics without a twist, and more [ABSTRACT FROM AUTHOR]

This study looks at the spatial distribution of robbery against residents as a function of nonstationary density and mobility patterns in the most densely populated city in Spain, Barcelona. Based on the geographical coordinates of mobile devices, we computed two measures of density of the ambient population and the tourist presence, for work days, weekends, and holidays in 2019. Negative binomial regressions are then estimated to analyse whether these measures are correlated with the risk of robbery, controlling for land use and the characteristics of the social environment. The model reveals that residents' chances of being exposed to robbery in Barcelona depend on the social relevance and tourism attractiveness of certain places at particular times of the year. Our results disclose two sources of social disorganization as stronger predictors of the occurrence of robbery in Barcelona, respectively linked to structural processes of residential instability and daily and seasonal mobility patterns. On the one hand, we found that the effect of the density of international tourists on the outcome variable is mediated by residential volatility, which is assumed to be associated with housing shortages in neighbourhoods where short-term vacation rentals are widespread. On the other hand, the ability to exert effective social control is significantly undermined in urban areas, where the ambient population and the volume of tourists outnumber the resident population, thus increasing incidents of robbery victimization. The implications of these findings for urban policy and crime prevention in the Catalan capital are discussed. [ABSTRACT FROM AUTHOR]

This article bridges the fields of urban politics, migration governance and border studies by exploring Barcelona as a case study. It raises a first critical question about what happens to so-called borderlands when "borders" move to other scales, such as cities that are not usually categorized as "border cities". Within this framing debate, this study explores two fundamental questions: (1) how border practices at the state level shape constrained relations between cities and migrants, and (2) how cities map de-bordering policies to resolve such constraints, which we conceptualise as an example of 'urban resilience'. The aim is to provide a focus that brings the analytical category of "urban resilience", recently proposed within the emerging debate on the "local turn" in migration studies, to bear on issues directly related to the social impacts of state bordering processes on urban systems. The article then argues that urban justice principles drive most cities to initiate resilient de-bordering policies, and can be seen as a distinctive normative factor underpinning urban resilience when applied to migration governance. After laying the groundwork for this theoretical framework and its application to the city of Barcelona, the final section briefly outlines the potential of this new and crucial critical area of migration research. This will provide yet another opportunity to highlight that we are likely to enter an era in which cities will increasingly become sovereign geopolitical entities within and beyond the traditional hierarchical reach of their own states. [ABSTRACT FROM AUTHOR]