Negative effects of a massive use of cars, such as congestion, air pollution, noise, and traffic injuries, are affecting the cities everywhere. Recently introduced shared vehicles, such as e-scooters and electric bicycles, could potentially accelerate the transition towards sustainable mobility. Although these vehicles are becoming increasingly common and accepted within regulatory frameworks, some local governments are not yet ready to integrate e-scooters into their transport systems. Indeed, the legislation is unclear as it is not easy to determine whether the e-scooter is more like a bicycle or a vehicle. Moreover, it is difficult to predict the impact of e-scooters on road traffic, as well as the type of road infrastructure chosen by e-scooter drivers or the possible interaction of such vehicles with weak road users, such as pedestrians or cyclists. This study showed an analysis of speed and behaviour of e-scooter drivers in the city of Trondheim (Norway) to investigate how to manage this mode of transport. A total of 204 e-scooters were observed on six different roads in the city centre. The speed of e-scooter drivers was measured by a speed tracker (average value 15.4 km/h) and their behaviour recorded by a hidden observer in the field. Gender, age, distance from pedestrians, speed adaptation to the environment, and type of vehicle used were registered for each e-scooter. Through a Binomial Logit analysis, the data obtained were used to analyse the type of road infrastructure preferred by e-scooter drivers. Results showed that the cycle path is more widely used with percentage value from 60% to 90% of users. In addition, the probability of choice depended mainly on the road environment. The aim of this analysis was to assist local authorities in regulating the safe use of e-scooters and developing appropriate policies for their integration into cities.

In recent decades, urban settlements have been greatly affected by globalisation, climate change, and economic uncertainty. When designing cities, these factors should be taken into account and adapted to the different contexts involved. The redevelopment of degraded urban areas is the first step toward achieving the sustainability aims set out in the Sustainable Development Goals. In this context, evaluation methods are required in the decision-making process, considering different social, economic, and environmental aspects to define the correct policies and actions for city redevelopment. In this paper, an evaluation methodology is proposed in order to obtain a priority scale of interventions for urban regeneration. Starting from on-site inspections to better know the current scenario, a set of indicators is established to evaluate the urban quality. Criticalities and potentials emerge through SWOT analysis and, with the ANP-BOCR method, the priority scale of the identified scenarios is defined. This decision-making approach was applied to the case study of the Rimini Canal Port, in the northeast of Italy, which is a degraded area of the city. This methodology is a tool that can be used in the future by decision makers (DMs) for the redevelopment of small port areas within similar urban contexts.

The increasing need to reduce emissions and the environmental impact of urban areas to meet European decarbonisation goals motivates the selection of the Rimini Canal Port as a case study within the FRAMESPORT project, part of the European Interreg Italy–Croatia programme. A preliminary historical–documental and urban regulations analysis of the context allowed the identification of the main criticalities and potentials through a SWOT analysis. The central role of the stakeholders enabled the creation of a successful participatory co-design process developed through online surveys. Critical issues that emerged during the data collection phase were prioritised through a BOCR model, a powerful multi-criteria analysis tool. The project phase then focused on the resolution of the two main critical issues that emerged: the improvement of cycle/pedestrian paths, and the raising of the flooding docks in the Canal Port area. This article intends to demonstrate the strong influence of soft mobility in urban regeneration projects, and how an improvement of the quality of cycle/pedestrian paths can increase the quality of urban spaces. The new paths create a green infrastructure that contributes to a reduction in pollutant emissions through the promotion of sustainable mobility systems and an increase in green urban spaces.

Workload and distraction are problems that affect road driving and can cause very serious accidents. Drive assistance systems are very important to help drivers relieve fatigue of driving by increasing road safety and reducing the number of accidents. The Adaptive Cruise Control (ACC) is a useful driver assistance system to set and maintain a safe distance from the front vehicle, modulating speed and limiting sudden braking. However, the effects of the ACC on overall driver behaviour have not yet been thoroughly investigated. In this study, the authors assessed the influence of ACC on mental workload and attention of drivers in a real driving environment. The results of several evaluations were considered: subjective assessment of workload (NASA-TLX), physiological measurements of workload (brain activity through electroencephalographic technique and the analysis of visual behaviour through an eye monitoring device) and performance-based measurements (via Vbox Pro Video mounted on the vehicle). 52 drivers were involved in the study, 26 ACC experts and 26 non-experts, who drove along the ring road of Bologna (Tangenziale di Bologna) (Italy), both using ACC and manually, without the help of any device. During the test a secondary task was introduced: the sudden arrival of a braking car. Results showed that the use of ACC increased distraction when driving.

The human factor plays an important role in the successful design of infrastructure to support sustainable mobility. By engaging users early in the design process, information can be obtained before physical environments are built, making designed spaces more attractive and safer for users. This study presents the collected data of a virtual reality (VR) application in which user perception has been evaluated within an urban redevelopment context. The area under consideration is the Canal of the Port of Rimini (Italy), a degraded area not connected to the city center. The redevelopment of degraded urban areas is the first step towards achieving the sustainability aims set out in the Sustainable Development Goals. Prior to this work, evaluation methods were developed in the decision-making process, considering different social, economic, and environmental aspects in order to obtain a priority scale of interventions for urban regeneration. Architectural solutions were proposed to represent targeted and specific interventions that are designed precisely for the context to which they are dedicated in order to make the Canal Port area a continuum with its urban context and to improve its perception by tourists and inhabitants. To assess these proposed infrastructure modifications, two models of VR were created, one relevant to the current condition and one representing the future condition after redevelopment of the area. Virtual visits to the Canal of the Port of Rimini were created under two scenarios, namely, the current situation and the future situation after redevelopment of the infrastructure. Then, human participants were involved through two different questionnaires. The first allowed participants validate the VR model created by comparing it with the real context, while the second served to evaluate the perceptions of users by comparing the two VR models of the canal before and after the intervention. The results of this empirical research highlight the benefits of engaging users early in the design process and improving the user experience before implementing renovation of the infrastructure.

This study analyses five months of continuous monitoring of different lighting warning systems at a pedestrian crosswalk through video surveillance cameras during nighttime. Three different light signalling systems were installed near a pedestrian crossing to improve the visibility and safety of vulnerable road users: in-curb LED strips, orange flashing beacons, and asymmetric enhanced LED lighting. Seven different lighting configurations of the three systems were studied and compared with standard street lighting. The speed of vehicles for each pedestrian–driver interaction was also evaluated. This was then compared to the speed that vehicles should maintain in order to stop in time and allow pedestrians to cross the road safely. In all of the conditions studied, speeds were lower than those maintained in the five-month presence of standard street lighting (42.96 km/h). The results show that in conditions with dedicated flashing LED lighting, in-curb LED strips, and orange flashing beacons, most drivers (72%) drove at a speed that allowed the vehicle to stop safely compared to standard street lighting (10%). In addition, with this lighting configuration, the majority of vehicles (85%) stopped at pedestrian crossings, while in standard street lighting conditions only 26% of the users stopped to give way to pedestrians.