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The phenomenon of passenger satisfaction is an important issue for public transport services and transport companies. Clarifying the relationship between influencing attributes and passenger satisfaction significantly improves service satisfaction. This study examines passenger satisfaction with intercity buses and, in particular, the role of digital information channels (websites and mobile apps) in promoting sustainable travel choices on the Madrid–Bilbao route. This study analyzed data from 459 passengers to identify the key factors influencing the bus choice for intercity bus travel. Punctuality, safety, and ticket price are the most important determinants. We use a combined structural equation modeling (SEM) and artificial neural network (ANN) approach to capture the intricate relationships between service attributes and information channels. The results show that information channels, travel experience, and ticket prices significantly impact passenger satisfaction, which bus operators should improve. Also, inserting the SEM result as input for the ANN showed that ticket price is the most significant predictor of satisfaction, followed by information channels (84%) and travel experience (65%). This approach provides valuable insights for improving the passenger experience. This study emphasizes integrating digital transformation strategies into public transport systems to promote sustainable mobility goals. [ABSTRACT FROM AUTHOR]

Pedestrianisation entails the full removal of motorised vehicles. It promotes walking and active means of transport and has a wide range of benefits in terms of health, the environment, mobility and the economy. However, it often faces widespread opposition. This results in a lack of political will and, to a lesser degree, in temporary pedestrianisations, which can be reverted. We consider that infrastructural change and long-term pedestrianisation are key for long-lasting benefits and more resilient and sustainable cities. To explore and assess this, a survey of pedestrians and semi-structured interviews with businesses were conducted in recently pedestrianised areas of Madrid, a large capital city. Data on satisfaction and changes in mobility, liveability and business were gathered. Over 755 citizens and 38 local businesses answered. The results show high levels of satisfaction (2/3) among citizens, while 1/2 businesses consider it positive for their commercial activity. Car use has fallen, active means of transport have been fostered and perceived attractiveness has increased, although some congestion has been noticed in nearby streets. This and the rest of the evidence presented in this paper can be used to back long-term restrictive policies in other dense and busy cities. [ABSTRACT FROM AUTHOR]

After three years of COVID-19 lockdown and restrictions, mobility seems to have returned to normality. However, the pandemic has left changes in the mobility patterns of the Madrid Region produced by new trends emerging from COVID-19. This paper analyzes these changes, focusing on the impacts on public transport use, the effects of telematic activities and the influence of home relocation. The basis of the analysis is a survey conducted from November to December 2022, with more than 15,000 valid responses. The results show that public transport lost 6% of trips. These trips have different transfer rates depending on their geographic location. In the City Center, the majority transferred to active modes. However, the car attracted most of these trips in the Metropolitan Ring. These changes in mobility patterns are partly a consequence of the increase in telematic activities. Teleworking has increased by more than 20% in the Madrid Region and has caused changes in trips per week and trip purpose. In addition, teleworking has caused 18% of home relocations to peripheral zones of the region. This paper investigates through statistical analysis which sociodemographic and spatial factors explain the differences in mobility impacts throughout the zones of the Madrid Region. [ABSTRACT FROM AUTHOR]

Cities worldwide are calling for smart mobility strategies to tackle the negative externalities of their transport networks. Mobility as a Service (MaaS) is expected to introduce a new mobility model that promotes smarter and more sustainable urban futures. Given the novelty of the concept, this paper explores the implications that might arise from the implementation of MaaS in today's metropolises in relation to the six dimensions of smart cities: smart governance, smart economy, smart mobility, smart environment, smart people, and smart living. To this end, 42 semi-structured interviews with MaaS stakeholders were conducted in Madrid (Spain). Thematic analysis identified a set of 35 urban implications. The success of MaaS requires more than the mere deployment of technologies and must be supported by the reorganisation of institutional structures, the reform of the regulatory scenario, the stimulation of innovation-based entrepreneurship, the promotion of environmental awareness, the encouragement of cultural transition, and the consideration of the public sphere. Overall, valuable insights are identified for policymakers when designing MaaS. Assessment of multiple stakeholders' perspectives enables a holistic understanding of these strategies and thus maximises their potential to address the limitations of our complex mobility systems in meeting urban sustainability goals. [ABSTRACT FROM AUTHOR]

Cities worldwide suffer from serious air pollution problems and are main contributors to climate change. Green Navigation systems have a great potential to reduce fuel consumption and exhaust emissions from traffic. This research evaluates the impacts of different percentages of green drivers on traffic, CO2, and NOx over the entire Madrid Region. A macroscopic traffic model was combined with an enhanced macroscopic emissions model and a GIS (Geographic Information Systems) to simulate emissions on the basis of average vehicle speeds and traffic intensity at the link level. NOx emissions are evaluated, taking into account not only the exhaust emissions produced by transport activity, but also the amount of the population exposed to these air pollutants. Results show up to 10.4% CO2 and 13.8% NOx reductions in congested traffic conditions for a 90% penetration of green drivers; however, the population's exposure to NOx increases up to 20.2%. Moreover, while traffic volumes decrease by 13.5% for the entire region, they increase by up to 16.4% downtown. Travel times also increase by 28.7%. Since green drivers tend to choose shorter routes through downtown areas, eco-routing systems are an effective tool for fighting climate change, but are ineffective to reduce air pollution in dense urban areas. [ABSTRACT FROM AUTHOR]

The road transportation sector is responsible for around 25% of total man-made CO2 emissions worldwide. Considerable efforts are therefore underway to reduce these emissions using several approaches, including improved vehicle technologies, traffic management and changing driving behaviour. Detailed traffic and emissions models are used extensively to assess the potential effects of these measures. However, if the input and calibration data are not sufficiently detailed there is an inherent risk that the results may be inaccurate. This article presents the use of Floating Car Data to derive useful speed and acceleration values in the process of traffic model calibration as a means of ensuring more accurate results when simulating the effects of particular measures. The data acquired includes instantaneous GPS coordinates to track and select the itineraries, and speed and engine performance extracted directly from the on-board diagnostics system. Once the data is processed, the variations in several calibration parameters can be analyzed by comparing the base case model with the measure application scenarios. Depending on the measure, the results show changes of up to 6.4% in maximum speed values, and reductions of nearly 15% in acceleration and braking levels, especially when eco-driving is applied. [ABSTRACT FROM AUTHOR]

An introduction is presented which discusses article on topics including an equilibrium bus-boarding model to obtain optimal pricing and service; a method for estimating energy consumption and emissions based on vehicle conditions, a comprehensive methodological tool Highway EnerRgy Assessment.

Reducing traffic emissions is key in transport planning and infrastructure management in order to achieve a sustainable transport system. This paper contributes to this topic in two ways. The first step describes a comprehensive methodology for identifying hot spots road segments and corridors with problems of GHG emissions to enable low-carbon actions. The Highway Energy Assessment (HERA) methodology is applied to the national road network of Spain in order to estimate interurban traffic emissions and calculate the emissions index to assess strategies. The results are shown graphically on a GIS, allowing to identify seven corridors with emissions problems comprising 25% of the network and being responsible for 51% of the total GHG emissions in 2012. Inefficient corridors were those with high rates of heavy vehicles, high speeds and steep gradients. The second step consists of the application of a set of strategies to reduce their emissions and their comparison to the reference scenario. The Mediterranean corridor—the most inefficient corridor—was selected to apply a set of abatement strategies. The most effective strategy was speed enforcement for light vehicles. A speed reduction of 10 km/h could produce a 3.5% savings in emissions compared to the reference scenarios, and decrease emissions intensity from 254 gCO2eq/veh-km to 246 gCO2eq/veh-km. [ABSTRACT FROM AUTHOR]