Cycling traffic at turbo roundabouts: some considerations related to cyclist mobility and safety

Campisi, Tiziana; Deluka-Tibljaš, Aleksandra; Tesoriere, Giovanni; Canale, Antonino; Renčelj, Marko; Šurdonja, Sanja

doi:10.1016/j.trpro.2020.03.048

Cited by 23 publications

(13 citation statements)

References 10 publications

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“…During the second stage of restrictions, many countries addressed the challenge associated with conventional travel, asking for requalification of the road infrastructure and acquisition of electric micro-mobility through political will and endorsement, while promoting walking [4] and cycling [5][6][7]. Design of road infrastructures and the enhancement of pedestrian and bicycle lanes are highly encouraging avenues for increasing mobility after the pandemic, promoting integrated infrastructure design and control through intelligent transport system (ITS) technologies [8], building information modeling for infrastructure (I-BIM) design, and the mobility as a service (MaaS) concept [9].…”

Section: Introductionmentioning

confidence: 99%

Best–Worst Method for Modelling Mobility Choice after COVID-19: Evidence from Italy

et al. 2020

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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.

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Section: Introductionmentioning

confidence: 99%

Best–Worst Method for Modelling Mobility Choice after COVID-19: Evidence from Italy

et al. 2020

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“…The survey showed that women have less propensity to want to leave the house after the pandemic and that a feeling of anxiety and stress due to the fear of contagion but also to the negative effects on the economy that led COVID-19 has spread. These sensations worsened due to the use of public transport due to the overcrowding that often characterizes it and due to hygiene issues (cleaning the vehicle, sanitizing) [77]. In this context, different forms of mobility take on different values and roles.…”

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confidence: 99%

The Impact of COVID-19 Pandemic on the Resilience of Sustainable Mobility in Sicily

et al. 2020

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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.

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“…Vissim is one of the most advanced and flexible traffic simulation software which allows simulating the movement of vehicles on a micro scale [49][50][51]. The VERSIT+ emission model is a multiple regression model in which the driving cycle of a given vehicle is a variable.…”

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confidence: 99%

The Development of Strategies to Reduce Exhaust Emissions from Passenger Cars in Rzeszow City—Poland. A Preliminary Assessment of the Results Produced by the Increase of E-Fleet

et al. 2021

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Urban agglomerations close to road infrastructure are particularly exposed to harmful exhaust emissions from motor vehicles and this problem is exacerbated at road intersections. Roundabouts are one of the most popular intersection designs in recent years, making traffic flow smoother and safer, but especially at peak times they are subject to numerous stop-and-go operations by vehicles, which increase the dispersion of emissions with high particulate matter rates. The study focused on a specific area of the city of Rzeszow in Poland. This country is characterized by the current composition of vehicle fleets connected to combustion engine vehicles. The measurement of the concentration of particulate matter (PM2.5 and PM10) by means of a preliminary survey campaign in the vicinity of the intersection made it possible to assess the impact of vehicle traffic on the dispersion of pollutants in the air. The present report presents some strategies to be implemented in the examined area considering a comparison of current and project scenarios characterized both by a modification of the road geometry (through the introduction of a turbo roundabout) and the composition of the vehicular flow with the forthcoming diffusion of electric vehicles. The study presents an exemplified methodology for comparing scenarios aimed at optimizing strategic choices for the local administration and also shows the benefits of an increased electric fleet. By processing the data with specific tools and comparing the scenarios, it was found that a conversion of 25% of the motor vehicles to electric vehicles in the current fleet has reduced the concentration of PM10 by about 30% along the ring road, has led to a significant reduction in the length of particulate concentration of the motorway, and it has also led to a significant reduction in the length of the particulate concentration for the access roads to the intersection.

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Cycling traffic at turbo roundabouts: some considerations related to cyclist mobility and safety

Cited by 23 publications

References 10 publications

Best–Worst Method for Modelling Mobility Choice after COVID-19: Evidence from Italy

Best–Worst Method for Modelling Mobility Choice after COVID-19: Evidence from Italy

The Impact of COVID-19 Pandemic on the Resilience of Sustainable Mobility in Sicily

The Development of Strategies to Reduce Exhaust Emissions from Passenger Cars in Rzeszow City—Poland. A Preliminary Assessment of the Results Produced by the Increase of E-Fleet

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