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User satisfaction sets a basic example for public service quality, especially those considered as basic necessities. The quality in transport service related to conceptualization and measurement, as a decisive demand key, presents challenges for both economic and mobility policies.Several operator companies are involved in the transport sector. Therefore this report aims to design a model of overall satisfaction based on the level of satisfaction with a specific set of factors, considering individual characteristics of users and the differential effect of different bus lines.The current presentation has applied a combined method, using Nonlinear Principal Component Analysis (NLPCA) and a Logit Multilevel Model (LMLM) in two-steps.

The model of the regional economic development of southern Spain cannot be understood without taking into account intensive irrigated agriculture and its inextricable relationship with water availability. In this semi-arid territory, the need to ensure the efficiency of agricultural water use has been a constant, which has led to the gradual modernization of systems of resource use. However, the total water demand in the Segura River Basin and Almeria province has increased to exceed the limits of natural resources, resulting in a structural water deficit with an unsustainable trend, as is highlighted in hydrological planning. In this paper we analyse the shape, socioeconomic and environmental consequences of the expansion of irrigation in Murcia and of greenhouses in Almeria. It becomes clear that the main shortcoming is the structural shortage of groundwater. The paper concludes with the idea that, despite this severe limitation, more productive irrigation could absorb the higher costs of a solution based on water from coastal desalination to solve the hydrological deficit and, in turn, can become a guarantor of the quality of the ecosystems, food security and good territorial order within the sector.

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The COVID-19 pandemic has had a significant impact on almost all the Sustainable Development Goals (SDGs), leaving no country unaffected. It has caused a shift in political agendas, but also in lines of research. At the same time, the world is trying to make the transition to a more sustainable economic model. The research objectives of this paper are to explore the impact of COVID-19 on the fulfilment of the SDGs with regard to the research of the scientific community, and to analyze the presence of the Circular Economy (CE) in the literature. To this end, this research applies bibliometric analysis and a systematic review of the literature, using VOSviewer for data visualization. Five clusters were detected and grouped according to the three dimensions of sustainability. The extent of the effects of the health, economic and social crisis resulting from the pandemic, in addition to the climate crisis, is still uncertain, but it seems clear that the main issues are inefficient waste management, supply chain issues, adaptation to online education and energy concerns. The CE has been part of the solution to this crisis, and it is seen as an ideal model to be promoted based on the opportunities detected.

Traffic congestion and air pollution continue to be serious concerns, especially in large cities, and going forward, this is not sustainable. Urban transport around the world is facing challenges, such as air pollution and inefficient use of resources, that often inhibit economic development. Simply building more roads cannot address such challenges. There is a need to integrate the urban infrastructure through smart connectivity. Smart mobility, as a vital cornerstone of a smart city, will potentially reduce traffic jams, commuting times, and road crashes and create an opportunity for passengers to customize their journeys. In fact, planning smart mobility solutions is among the top challenges for large cities around the world. It involves a set of deliberate actions backed by sophisticated technologies. The different elements and dimensions that characterize smart mobility are investigated to depict the overall picture surrounding the smart mobility domain. Additionally, the trends, opportunities, and threats inherent to smart mobility are addressed. There are four segments of smart mobility that are highlighted in this paper: intelligent transport systems, open data, big data analytics, and citizen engagement. These segments are all inter-related and play a crucial role in the successful implementation of smart mobility.

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The contribution of transportation to environmental contamination is generally accepted to be approximately 30%. However, the various modes of transportation are not equal in their contribution. It is important to analyse the modal split in an effort to determine the degree of contribution and each mode's impact on overall environmental contamination in order to create sustainable mobility plans and solutions. Without a clear understanding of the impact that specific forms of transport represent, current and future plans may not provide adequate solutions for sustainability and may, indeed, prove to be severely lacking. Employing a methodology used in another area (Catalonia, Spain) this paper analyses the modal split in Andalusia, Spain, based on data from the Social Mobility Survey in Urban Regions of Andalusia 2011, exploring the territorial urban patterns and the motivational category that causes them, in order to determine the effect of the travel requirements of the population and the inherent contribution this has to the emission of greenhouse gasses and the consequent impact on environmental contamination. It also discusses the different mobility scenarios proposed in the current Sustainable Urban and Metropolitan Mobility Plans in Andalusia and their expected trends, concluding that the measures currently proposed may be considered insufficient to change the model of mobility in the metropolitan areas of Andalusia.