2021
DOI: 10.1016/j.tranpol.2021.05.003
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Psychological impacts of COVID-19 pandemic on the mode choice behaviour: A hybrid choice modelling approach

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Cited by 76 publications
(47 citation statements)
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“…Firstly, in view of sustainable mobility, strong measures are required to reduce the affinity towards private cars which has increased during Covid-19 ( Eisenmann et al, 2021 ). This should include investing in high quality walking and cycling infrastructure, improving the ambience of such spaces through planting greenery and encouraging people to work from home ( Aaditya & Rahul, 2021 ; Y. Zhang & Fricker, 2021 ).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Firstly, in view of sustainable mobility, strong measures are required to reduce the affinity towards private cars which has increased during Covid-19 ( Eisenmann et al, 2021 ). This should include investing in high quality walking and cycling infrastructure, improving the ambience of such spaces through planting greenery and encouraging people to work from home ( Aaditya & Rahul, 2021 ; Y. Zhang & Fricker, 2021 ).…”
Section: Discussionmentioning
confidence: 99%
“…It is most likely that people's attitude towards mode choice now and in the near future will be influenced by their experiences of perceived comfort and safety during the pandemic ( de Haas et al, 2020 ; Eisenmann et al, 2021 ; Przybylowski et al, 2021 ). This will have consequential impact on how transportation modelling is carried out, including the manner in which assumptions regarding mode choice are accounted for ( Aaditya & Rahul, 2021 ). Hence, it is important to understand if the mobility experienced during the course of the pandemic bears any relationship with the incidence of Covid-19.…”
Section: Introductionmentioning
confidence: 99%
“…For example, passengers' satisfaction on public transport in China was found to be influenced by passengers' perceived safety, which was negatively affected by anxiety and psychological distance [24]; intentions of air travel to destinations with travel-bubble policy were negatively affected by such factors as concern of COVID-19, anxiety of the situation, and risk attitudes [25]; and public transport mode choice was largely influenced by the passenger's perceived safety. For instance, in India, it was positively affected by the social distancing measures, congestion management, and sanitizing frequency, and also significantly affected by age, gender, and occupation of the passengers [26]. Travel decision and mode choice for educational trip in an Italian university campus was found to be affected by that mode's attributes and the traveler's perception of risk on alternative modes implementing COVID-19 countermeasures, such as strict physical distancing, hand sanitizing gel supply, face mask usage, frequent vehicle sanitization, etc.…”
Section: Analysis Of Passengers' Confidencementioning
confidence: 99%
“…Likewise, for air transportation, a study in Korea found that decision to make an air travel again after the COVID-19 pandemic subsides would be influenced by requirement for isolation and quarantine at the destination, circumstances at the destination, social atmosphere with regards to overseas travel, and level of disinfection measures employed in the aviation service sector [31]. In these studies, the analysis techniques used were dependent on the purpose of the analysis as well as on the definition of the confidence of travel, ranging from descriptive statistics [28] to multivariate analyses [24][25][26]30,31] where exploratory factor analysis was used to discover the underlying structure of indicators of the constructs such as perceived safety with respect to several countermeasures. Confirmatory factor analysis was used to test the inter-relationship between the constructs while structural equation model (SEM) was employed to understand the causal effect on travel confidence [24,25,31].…”
Section: Analysis Of Passengers' Confidencementioning
confidence: 99%
“…We add to a rapidly growing literature on the effects of the COVID-19 pandemic on public transportation (10)(11)(12). First, it allows us to follow up on a survey conducted in the early stage of the pandemic and observe how travel behaviors and attitudes have changed over a ten month period (7)(8)(9)13).…”
Section: Introductionmentioning
confidence: 99%