University propensity assessment to car sharing services using mixed survey data: the Italian case study of Enna city

Campisi, Tiziana; Torrisi, Vincenza; Ignaccolo, Matteo; Inturri, Giuseppe; Tesoriere, Giovanni

doi:10.1016/j.trpro.2020.03.155

Cited by 42 publications

(15 citation statements)

References 26 publications

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“…Finally, the third step included processing the original data and carrying out statistical analysis. As recommended in the state-of-the-art review [33,34], the statistical analysis started with descriptive statistics in order to explore the characteristics of the data. This was followed by Chi square test of independence to explore the relationship between the variables.…”

Section: Methodsmentioning

confidence: 99%

Exploring Public Opinion on Personal Mobility Vehicle Use: A Case Study in Palermo, Italy

et al. 2020

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The Sustainable Urban Mobility Planning (SUMP) process deals with barriers to improve accessibility and quality of life in urban mobility. Public opinion is highly essential for this process because it presents the real needs of road users. This paper illustrates the influence of public opinion on using Private Mobility Vehicle (PMV) in urban. A survey was carried out with 400 participants in Palermo, Italy. The results suggested that there was heterogeneity in gender and age groups in subcategories which represented people who use, do not use, and completely reject, using PMVs in urban. In addition, it was explored that there was a statistically significant relationship at 95% confidence level between sociodemographic characteristics (gender and age groups) and public opinion on PMV using. Employment status was found as an important parameter in transport planning. It was also showed that there was an inconsistency between local and national results. The results suggested that sociodemographic characteristics and public opinion should be investigated in further studies. In addition, a participatory planning process should be carried out to monitor for reliable evaluation in urban transport planning.

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Section: Methodsmentioning

confidence: 99%

Exploring Public Opinion on Personal Mobility Vehicle Use: A Case Study in Palermo, Italy

et al. 2020

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“…Therefore, many authorities around the world have decided to implement policies aimed to improve cycling infrastructure by expanding shared micromobility services and banning private cars in urban travel corridors. In the last decade, there has been an increase in shared cycling for daily trips in urban areas [13]. Also, walking has increased significantly, because people enjoyed their daily exercise and/or have walked for essential trips which could have been done by public transportation [14].…”

Section: Introductionmentioning

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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“…In literature many authors show preparatory or a posteriori analyses to the implementation of car sharing services, obtained through surveys. In accordance with [ 32 , 33 ] it is possible to outline the characteristics of the most frequent car sharing users through descriptive statistics of the survey on the Internet and qualitative analyses of the results of the focus groups (both verified with respect to the previous literature) and from this emerges a behaviour of social activists, environmental protectors, innovators, economists or practical travellers. Therefore, car sharing companies and their partners could presumably increase their membership by targeting individuals and others with certain demographic characteristics.…”

Section: Methodsmentioning

confidence: 88%

The Growing Urban Accessibility: A Model to Measure the Car Sharing Effectiveness Based on Parking Distances

Campisi

Ignaccolo

Inturri

et al. 2020

Computational Science and Its Applications – ICCSA 2020

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The spread and development of shared mobility makes it possible to offer users various forms of shared service that promote a sustainable approach. The choice of transport mode often depends on the distance travelled and the motivation for the journey. Among the conditions and variables that most influence the propensity to use a shared transport mode, the distance between the users’ places of origin or destination and the parking areas covered plays an important role, especially in the case of station-based type. The common system that has become more and more widespread in Italy is car sharing, with its various forms (i.e. station-based, free-floating, electric vehicles) that allow the use of reserved parking spaces or shared with other circulating vehicles. In urban areas, people generally tend to walk the first and last mile or use micro-mobility, while for longer distances they tend to use private or shared motor vehicles. Starting from this premise, this thesis provides a methodology for evaluating the effectiveness of car sharing by measuring the probability of using it based on parking distance. The proposed model is based on the estimation of O/D matrices with associated distance levels and the calculation of a probability index derived from several distance combinations. This research lays the foundation for a deeper analysis, which includes model calibration for different common mobility solutions and the evaluation of user probability in relation to implemented common mobility systems in several case studies.

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University propensity assessment to car sharing services using mixed survey data: the Italian case study of Enna city

Cited by 42 publications

References 26 publications

Exploring Public Opinion on Personal Mobility Vehicle Use: A Case Study in Palermo, Italy

Exploring Public Opinion on Personal Mobility Vehicle Use: A Case Study in Palermo, Italy

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

The Growing Urban Accessibility: A Model to Measure the Car Sharing Effectiveness Based on Parking Distances

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