The COVID-19 pandemic has resulted in unprecedented measures changing travel habits in many countries. Many users have started to prefer traveling by private cars, which is against the sustainability policies of the European cities. The necessity of gaining a deeper understanding of road users’ travel habit changes, their feelings on public transport use, and their perceptions of using sustainable urban mobility modes has emerged for future transport planning. Considering these facts, the study in this paper aimed to investigate the influence of the COVID-19 pandemic on road users’ perceptions, needs, and use of sustainable travel modes (i.e., public transport, walking, and cycling). An online survey was carried out during the period from March to May 2020 in the case study area, Sicily of Southern Italy. Regarding the population of the case study, the survey was representative, with 431 individuals. The survey included variables, namely gender, age, city of residence, private car ownership, walking and cycling frequency before and during the pandemic, public transport use frequency for leisure activities before and during the pandemic, need for remote working, and the stress and anxiety perception of using public transport during the pandemic. The analysis started with descriptive statistics and it was followed by correlation analysis in order to explore the characteristics of the dataset and relationship between variables. It was found that these were not statistically significantly correlated at a 95% confidence level. An ordinal regression model was applied for determining the predictions. The results suggested that women were less likely to walk during the pandemic than men. Participants were more likely to resume remote work even after the second phase in order to reduce their daily travel needs and keep their isolation. Participants have expressed a positive opinion on the use of micromobility during pandemic situations. These results can be considered as a basis for sustainable urban planning and a guide for decision-makers who aim to encourage the use of public transport, walking, cycling, and micromobility.

Smart cities aim to integrate technological development with different functions/components such as mobility, management of energy, natural resources, water, and the waste cycle, air quality, land use, service network, construction, but also the economy, social participation, increased employment, and citizen safety. It includes a series of coordinated and integrated social, environmental and economic interventions to enhance human capital, reduce environmental impacts and solve ecological emergencies. The holistic approach is particular to smart cities, including several mobility aspects in the main European classifications. In particular, the development of smart cities depends on several factors related to transport supply (i.e., mobility service, infrastructure details, ICT) and demand (socio-demographic aspects), and the size of the city. This paper provides an overview of the development of smart cities by defining a methodology that allows the identification of criteria for determining the optimisation of urban mobility with a particular interest in the development of future autonomous mobility. The analysis of current literature on the concept of smart cities and new mobility technologies made it possible to analyse the compatibility between them and possible criticalities. The definition of criteria lays the groundwork for future research steps focused on the application of multicriteria analysis.

All countries have suffered from the COVID-19 crisis; the pandemic has adversely impacted all sectors. In this study, we examine the transport sector with a specific focus on the problem of commuting mode choice and propose a new decision-making approach for the alternative modes after synthesizing expert opinions. As a methodology, a customized model of the recently developed best–worst method (BWM) is used to evaluate mobility choice alternatives. The survey reflects citizens’ opinions toward mobility choices in two Italian cities, Palermo and Catania, before and during the pandemic. BWM is a useful tool for examining mobility choice in big cities. The adopted model is easy to apply and capable of providing effective solutions for sustainable mode choice. The urban context is analyzed considering the importance of transport choices, evaluating the variation of resilience to the changing opinions of users.

This paper investigates the problems and stresses of the contemporary city, mainly due to natural and health factors, related to climate change and the pandemic COVID19. Besides highlighting the characteristics of climate change and the ongoing pandemic, this study focuses on the analysis of the main effects and consequences that these phenomena have produced on the city and the vulnerabilities of the urban system. To understand how these events have impacted the urban environment, directly and indirectly, this research undertakes to define some specific indicators capable of comparing the phenomena and assessing their repercussions. The Methodology is based on the following focal points: on the analysis of the urban shocks that have affected the cities in the last decade, on the comparison between contemporary survey data and those relating to historical trends, on the definition of the main urban sectors particularly affected by the onset of urban shocks, and on the definition of strategies, actions, and tools deemed to be effective in the implementation of a post-pandemic and climate-proof city. These results were achieved through complementary urban design and tools capable of creating a post-pandemic and climate-proof adaptive city, within a cross-disciplinary approach.

Interest towards urban micromobility has been growing lately, and it will now increase further due to the measures used against COVID-19. It is recommended to avoid close contact to prevent contagion. Municipalities have been called to implement wider cycling networks so that people may go to their work place by cycling rather than by using public transport. This paper focused on cycling path design using an infrastructure-building information model (I-BIM). The issue covered was how to connect cost and safety requirements in the first steps of the project. We set a methodology that gives, after identifying the intervention area and defining the available economic resources, the key elements needed to design possible cycle path solutions. It guides the designer step-by-step, starting from basic assumptions related to a cycle path’s location (urban/non-urban), budget (by range), and safety (according to Bicycle Compatibility Index BCI and Bicycle Level of Service (BLOS) index), up to the definition of preferred options in terms of materials to be selected. As a case study, we implemented this methodology in the old city center of Catania in Sicily (Italy), designing a cycle path that connects the city center with the existing cycle path on the coast, while aligning with safety requirements within budget constraints.

In the last few years, numerous research efforts have been conducted to merge the Internet of Things (IoT) with smart city environments. The goal to make a city “smart” is arising as a possible solution to lessen the issues caused by the urban population growth and fast urbanization. Attention also has focused on the pedestrian crossings because they are one of the most dangerous places in the transport field. Information and Communications Technologies (ICT) can undoubtedly be an excellent support in developing infrastructures that can best manage pedestrian crossing. For this reason, this paper introduces a fuzzy logic-based solution able to manage dynamically the traffic lights’ phases in signalized pedestrian crossings. The proposed approach provides the possibility to change the phases of the traffic light taking into account the time of the day and the number of pedestrians about to cross the road. The paper presents a thorough description of the fuzzy logic controller configuration, an in-depth analysis of the application scenario and simulative assessments obtained through Vissim simulations.