Perceived risk of using shared mobility services during the COVID-19 pandemic

Rahimi, Ehsan; Shabanpour, Ramin; Shamshiripour, Ali; Mohammadian, Abolfazl

doi:10.1016/j.trf.2021.06.012

Cited by 61 publications

(37 citation statements)

References 26 publications

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“…These studies show that perceived infection risk impacts travel preferences and mobility behavior ( Brug et al, 2004 , Hotle et al, 2020 ). The substantial reduction in travel (particularly with the shared modes) during the COVID-19 pandemic ( Klein et al, 2020 , Rahimi et al, 2021 ; Transit App, 2021 ; Wang et al, 2020 ) supports previous findings on the negative effects of infection risk perception on mode choice and travel frequency. Additional studies are needed to better understand the impacts of COVID-19 infection risk perception on daily mobility and travel preferences of individuals.…”

Section: Literature Reviewsupporting

confidence: 70%

“…The COVID-19 infection risk perception while traveling characterizes out-of-home activity frequency and individual travel behavior during the pandemic ( Parady et al, 2020 , Rahimi et al, 2021 ). Prior to the COVID-19 crisis, researchers conducted several studies on the impacts of exposure risk perception on travel behavior during virus outbreaks (e.g., seasonal influenza, SARS, etc.)…”

Section: Literature Reviewmentioning

confidence: 99%

“…There is limited but growing literature on the impacts of COVID-19 on risk perception, travel behavior, and subjective well-being ( Budd and Ison, 2020 , De Vos, 2020 , Fuller et al, 2021 , Ozbilen et al, 2021a , Parady et al, 2020 , Rahimi et al, 2021 ). These studies examine the effects of the pandemic and subsequent restrictions on travel frequency, infection risk perception while traveling, and subjective well-being.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The COVID-19 pandemic -still- affects the daily mobility and travel behavior of billions of people. Researchers from all around the world conducted studies on the effects of perceived infection risk and COVID-19 restrictions on daily mobility ( De Haas et al, 2020 , Gao et al, 2020 , Kim et al, 2021 , Ozbilen et al, 2021a , Parady et al, 2020 , Rahimi et al, 2021 ). Some of these studies focus on the impacts of the pandemic on different groups and demonstrate that these impacts are not distributed evenly ( Brough et al, 2020 , Hamidi et al, 2020 , Shamshiripour et al, 2020 ).…”

Section: Literature Reviewmentioning

confidence: 99%

See 3 more Smart Citations

Designing pandemic resilient cities: Exploring the impacts of the built environment on infection risk perception and subjective well-being

Ozbilen

Akar²

2023

Travel Behaviour and Society

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Section: Literature Reviewsupporting

confidence: 70%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Designing pandemic resilient cities: Exploring the impacts of the built environment on infection risk perception and subjective well-being

Ozbilen

Akar²

2023

Travel Behaviour and Society

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“…The ridership of shared mobility was limited by home quarantines and anxiety regarding entering shared spaces [ 10 ]. However, new mobility services may play a vital role in post-pandemic travel industry recovery with advantages such as reliability, sustainability, and less in-vehicle crowding [ 11 ]. Additionally, COVID-19 may impact travel mode choice behavior regarding different mobility services based on their respective characteristics.…”

Section: Introductionmentioning

confidence: 99%

The Impact of COVID-19 on Travel Mode Choice Behavior in Terms of Shared Mobility: A Case Study in Beijing, China

Zhang

Shao

Wang

et al. 2022

IJERPH

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Shared mobility is growing rapidly and changing the mobility landscape. The COVID-19 pandemic has complicated travel mode choice behavior in terms of shared mobility, but the evidence on this impact is limited. To fill this gap, this paper first designs a stated preference survey to collect mode choice data before and during the pandemic. Different shared mobility services are considered, including ride hailing, ride sharing, car sharing, and bike sharing. Then, latent class analysis is used to divide the population in terms of their attitudes toward shared mobility. Nested logit models are applied to compare travel mode choice behavior during the two periods. The results suggest that shared mobility has the potential to avoid the high transmission risk of public transport and alleviate the intensity of private car use in the COVID-19 context, but this is limited by anxiety about shared spaces. As the perceived severity of the pandemic increases, preference for ride hailing and ride sharing decreases, and a price discount for ride hailing is more effective than that for ride sharing at maintaining the ridership despite the impact of COVID-19. These findings contribute to understanding the change in travel demand and developing appropriate strategies for shared mobility services to adapt to the pandemic.

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Optimizing urban bike-sharing systems: a stochastic mathematical model for infrastructure planning

Ahmadi,

Ghasemi,

Ehmke

2024

Cent Eur J Oper Res

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This paper addresses the optimization of resource allocation and infrastructure planning in bike-sharing systems, particularly inspired by dynamic demand patterns as observed during the COVID-19 pandemic. We introduce a stochastic mathematical model that considers varying demand scenarios to enhance system performance and resource utilization. The research objectives are to fulfill the total travel demand across scenarios and compute the network's capacity to satisfy demand, thereby enhancing the system's efficiency and meeting users' diverse travel needs. The main contributions of this paper include presenting a stochastic mathematical model for bike-sharing station allocation and path network design, which optimizes resource allocation and infrastructure planning. Through a case study on the Vienna bike-sharing system, the model demonstrates practical applicability and effectiveness, offering insights for improving efficiency and service quality. The sensitivity analysis reveals that as costs for bicycle docks and station building increase, fulfilled demand decreases, emphasizing the crucial role of cost management in meeting demand efficiently.

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Perceived risk of using shared mobility services during the COVID-19 pandemic

Cited by 61 publications

References 26 publications

Designing pandemic resilient cities: Exploring the impacts of the built environment on infection risk perception and subjective well-being

Designing pandemic resilient cities: Exploring the impacts of the built environment on infection risk perception and subjective well-being

The Impact of COVID-19 on Travel Mode Choice Behavior in Terms of Shared Mobility: A Case Study in Beijing, China

Optimizing urban bike-sharing systems: a stochastic mathematical model for infrastructure planning

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