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

Moslem, Sarbast; Campisi, Tiziana; Szmelter-Jarosz, Agnieszka; Duleba, Szabolcs; Nahiduzzaman, Kh Md; Tesoriere, Giovanni

doi:10.3390/su12176824

Cited by 110 publications

(93 citation statements)

References 83 publications

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“…The COVID-19 emergency resulted in measures such as restricting the movement of people, almost completely blocking urban and rural mobility. Approximately 70-90% reduction in using shared micromobility and public transport occurred in many Italian cities [49]. However, public transportation services have had to continue operating to ensure accessibility in cities for all social classes.…”

Section: Covid-19 Impact On Italian Mobilitymentioning

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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Section: Covid-19 Impact On Italian Mobilitymentioning

confidence: 99%

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

et al. 2020

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“…Similarly, Beria and Lunkar (2021) analyzed data from social networks, such as Facebook, to investigate regional and provincial data in Italy. The use of population surveys enabled the acquisition of sociodemographic data and travel habits in Sicily (Moslem et al, 2020) and the relative impact on resilient mobility strategies (Campisi et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

A region-wide survey on emotional and psychological impacts of COVID-19 on public transport choices in Sicily, Italy

Campisia¹,

Basbasb²,

Al-Rashid³

et al. 2022

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Public transport generally addresses the evident mobility needs and offers an often-irreplaceable service, especially for captive users and other disadvantaged population groups. Public transport design and services are closely related to the physical size of modern cities, the number of people living or working in them, and the distribution and organization of work and social activities. However, public transport has been restricted with the spread of the COVID-19 pandemic in Italy, since March 2020. Public transport demand collapsed, especially during the lockdown period (March-May 2020), and adverse effects were reported even in the subsequent periods. In fact, the social distancing restrictions have highlighted numerous problems with public transport systems worldwide, primarily due to two factors. The first is related to the spread of the virus via the respiratory route, which is more likely to infect in restricted areas, and the second is associated with a transport system that by definition has high occupancy rates and low spacing throughout the journey (e.g., the positioning of seats or standing places in a train or bus). Thus, the COVID-19 pandemic has substantially impacted the travel choices of users. The pandemic has also negatively affected the psychological state, generating specific problems of anxiety, fear, or stress among all population groups, even when choosing the means of transport to travel with.Given the emerging pandemic challenges, the present study examines the public transport demand characteristics during the various phases of the COVID-19 pandemic in Sicily, one of the most affected regions in Italy. The study investigates the mental state of a population sample that frequently used the local urban or regional public transport to travel to work before and during the pandemic phases in the Sicilian territory. Through the administration of an online survey, it was possible to collect sociodemographic and psychological data to understand the propensity to use public transport. A series of inferential statistical tests were applied to assess the correlation of psychological aspects (i.e., fear, anxiety, and stress) with socio-demographic variables and modal choice habits (trip frequency). Results highlight and evaluate each psychological issue among population groups and their relative role in shaping public transport-related preferences. The study highlights some proposals and their implementation strategies to prevent negative emotions and encourage public transport use in Sicily and generally.

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“…It is perceived as an efficient approach due to its data requirements, its well-structured, transparent, easy application, and its reliable results [55]. The critical difference between the BWM approach based on pair comparisons is its main framework depending on the most relevant and least important parameters [56]. The BWM's attractiveness derives from its benefits, including various features that promote estimation and interpretation-less pair comparisons than in other approaches, better reliability of measured weight coefficients, and performance accuracy.…”

Section: Best Worst Methodsmentioning

confidence: 99%

Using Best Worst Method for Sustainable Park and Ride Facility Location

et al. 2020

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The Park and Ride (P&R) system is a set of facilities available to private vehicle users to transfer to public transportation in order to complete their journey. The location of the facilities is determined by the purpose for which they have been created, for example, to reduce traffic in the central business district (CBD), reduce pollution, or increase the use of public transportation. Thus, a set of six main criteria and 19 sub-criteria are considered that are particularly important for decision-makers about the location of P&R facilities in a city. In order to identify which criteria are relevant, a method belonging to the multiple criteria decision is needed. The central point of this study is to evaluate the problem of the location of the facilities of the P&R system according to the point of view of the experts. For this aim, the Best Worst Method (BWM) is adopted to estimate the location of the facilities of the P&R system. The questionnaire survey has been designed estimated by ten transport experts in the related field. The recently created BWM was conducted. The results highlighted that “accessibility of public transportation” is the most important aspect of the problem of the location of P&R facilities. The results obtained provide greater accuracy in the location of facilities problem than the pure analytic hierarchy process method (AHP).

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

Cited by 110 publications

References 83 publications

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

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

A region-wide survey on emotional and psychological impacts of COVID-19 on public transport choices in Sicily, Italy

Using Best Worst Method for Sustainable Park and Ride Facility Location

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