Introduction: The COVID-19 emergency and the cities lockdown have had a strong impact on transport and mobility. In particular, travel demand has registered an unprecedented overall contraction, dramatically dropping down with peaks of - 90%-95% passengers for public transport (PT). During the re-opening phase, demand is gradually resuming the levels before the crisis, although some structural changes are observed in travel behaviour, and containment measures to reduce the risk of contagion are still being applied, affecting transport supply. Objective: This paper aims at assessing to what extent keeping a one-meter interpersonal distancing on-board trains is sustainable for public transport companies. Method: The analysis is based on travel demand forecasting models applied to two case-studies in Italy: a suburban railway line and a High-speed Rail (HSR) line, differentiated by demand characteristics (e.g. urban vs. ex-urban) and train access system (free access vs. reservation required). Results: In the suburban case, the results show the need of new urban policies, not only limited to the transport domain, in order to manage the demand peaks at the stations and on-board vehicles. In the ex-urban case, the outputs suggest the need for public subsidies in order for the railways undertakings to cope with revenue losses and, at the same time, to maintain service quality levels.

This paper presents the results of a demand forecasting study about the introduction of Urban Air Mobility (UAM) services in the metropolitan area of Milan (Italy). Demand forecasting is based on random utility mode choice models, which include factors related to the individuals’ perception of vertical take-off/landing and low altitude flying over urbanized areas. The use cases of UAM services include airport shuttles, intercity air connections, and “air-taxis”, i.e., UAM services for short-trips within the metropolitan area. Several scenarios have been considered based on the number of access points (“vertiports”) and UAM fare levels. The results indicate that airport shuttles have a modal share of trips to/from airports (for both business and leisure) in a range of 2-5%. They resulted to be more attractive than air-taxis, which have a modal share in a range of 1-3%. Furthermore, the probability of choosing UAM services for intercity travels decreases with the distance and the time required for access/egress to/from the vertiports, whose catchment areas are dependent on the level of service provided by competing modes (notably the presence of good railway and highway connections).

Active modes can play a key role in the transition toward sustainable urban mobility, and transport systems should be designed to support and incentivize them. For instance, walking accessibility to main urban centralities is a factor to pay attention to, as well as the way in which pedestrians perceive the characteristics of the infrastructure and the surrounding environment should also be considered. This study proposes a method for computing a walkability index of the paths for accessing transport nodes (e.g., railway station). The index is based on individuals’ perception of walkable infrastructure features (e.g., kerbside width, presence of urban furniture, greenery, etc.). It allows having a more realistic view of the catchment area of the node and to identify policies for improving pedestrian accessibility. The method has been validated using an ad-hoc survey in the area of the Milano Rogoredo railway station (Italy). The map of the estimated walkability indexes is consistent with the real conditions of the Milano Rogoredo neighbourhood and allows for identifying those areas where walkability can be improved.

Investments in transportation infrastructure have been identified as one of the main factors to promote territorial economic growth. However, appraisal methods currently used in the planning practice do not consider spatial economic distributional effects, ignoring who within a given region would receive greater economic benefits from an investment than others (and eventually who might receive worse). In this paper, a modelling framework is proposed to assess the spatial economic impacts of transportation infrastructure investments; the method combines spatial regressions with transportation accessibility analysis, assuming Gross Domestic Product per Capita variation as a proxy of the economic growth. The application to the case study is related to the Adriatic and Ionian region, which includes both some EU (Italy, Slovenia, Croatia, and Greece) and non-EU countries (Bosnia-Herzegovina, Montenegro, Albania, North Macedonia, and Kosovo) and is characterized by huge disparities in terms of infrastructural assets. The models allow us to both statistically prove the importance of spatial modelling specifications and to forecast economic impacts that would be generated by ongoing infrastructure investment plans for the reconstruction of the road and railway networks in the region; this highlighted where current economic disparities tend to be bridged up, i.e., mainly along the foreseen extensions of the Trans-European Transport Network (TEN-T) corridors, and where not.

This article aims to offer a novel perspective on investments in new multi-modal and multi-service transportation hubs, examining their wider economic and social impacts. Through a systematic literature review following a “What, When, Where” approach, as well as a meta-analysis based on the results of selected studies, this research synthesizes existing knowledge and identifies gaps in the field. Key findings indicate that developments of new transportation hubs receive the most attention, particularly concerning their effects on real estate and employment markets. Transit-induced gentrification is also widely discussed, with evidence suggesting it may also affect the commercial sector. Additionally, this review reveals that potential benefits can vary among stakeholders and may begin to emerge not only once projects are operational but also as early as the announcement phase. This article concludes that while investments in transport infrastructure are essential, they are not sufficient alone for sustainable urban development. Complementary policies, such as affordable housing, public safety initiatives, and the promotion of community engagement, along with continuous impact monitoring, are key planning drivers for achieving inclusive and sustainable growth. The insights obtained from this research may work as a knowledge tool for designing more sustainable and effective transportation policies.