| Literature DB >> 36246048 |
João Filipe Teixeira1, Cecília Silva1, Frederico Moura E Sá2.
Abstract
The coronavirus pandemic may provoke an increase on our overreliance on private car usage due to a permanent loss of confidence on public transport (PT), threatening current decarbonization efforts of the transport sector. Thus, alternative modes like bike sharing systems (BSS) must be considered. In this study, through conducting 16 semi-structured interviews and by employing thematic analysis, we explore the users' perceptions of using Lisbon's BSS during this pandemic. Our findings show that the observed decrease on BSS usage during the COVID-19 lockdowns was mostly due to mandatory teleworking than to a perceived infection risk. Even during the height of the pandemic, users still turned to BSS to fulfil their essential trip needs. Users considered bike sharing to have a lower infection risk comparatively to PT, with some users joining BSS during the pandemic to specifically avoid using PT. Furthermore, users associate riding a shared bicycle with a pleasant activity that reduces their travel times and costs, while also providing health and environmental benefits. Consequently, bike sharing contributes to the resilience of transport systems by providing its users with a transport alternative perceived to have a low infection risk, ensuring their mobility needs during disruptive events. Findings from this research provide evidence that support policies, such as, expanding BSS coverage areas, optimizing rebalancing operations, introducing shared e-bikes, and implementing segregated cycling lanes alongside BSS. These policies may be particularly effective at increasing the competitiveness of BSS as an alternative mode during disruptive public health crises and beyond.Entities:
Keywords: Bike sharing; Coronavirus; Qualitative methods; Semi-structured interviews; Thematic analysis
Year: 2022 PMID: 36246048 PMCID: PMC9537040 DOI: 10.1016/j.tranpol.2022.09.026
Source DB: PubMed Journal: Transp Policy (Oxf) ISSN: 0967-070X
Summary of the current literature on the main motivations and barriers for using bike sharing.
| Reasons for (not) using BSS | Main Findings | References |
|---|---|---|
| Major reason for BSS usage for all users | ||
| Motivation for BSS use (related to convenience) | ||
| Motivation for BSS use | ||
| Among the motivations for BSS use for some users | ||
| Major motivation for BSS use | ||
| Among the motivations for BSS use | ||
| Health/exercising among the motivations for BSS use | ||
| Lack of cycling infrastructure and dangerous driving behaviour are reasons for | ||
| Barrier for BSS use in countries where helmet is mandatory | ||
| The attractive design of the bikes as well as seeing people using them |
(F) – Focus group; (I) – Interview; (R) – Literature review; (S) – Survey.
Fig. 1Distribution of GIRA's stations across Lisbon (background: Bing Maps).
Fig. 2Percentage difference on GIRA's monthly ridership between 2020 and 2019 versus the number of COVID-19 new daily cases (monthly average) throughout 2020 in Portugal (DGS, 2021).
Profile of interviewees.
| Type of | Gender | Age Bracket | Working Status | |
|---|---|---|---|---|
| Interviewee 1 | User before & during COVID-19 | Female | 35–44 | Working |
| Interviewee 2 | New User | Female | 25–34 | Working |
| Interviewee 3 | User before & during COVID-19 | Male | 45–54 | Working |
| Interviewee 4 | User before & during COVID-19 | Male | 35–44 | Not working |
| Interviewee 5 | User before & during COVID-19 | Male | 35–44 | Working |
| Interviewee 6 | User before & during COVID-19 | Male | 35–44 | Working |
| Interviewee 7 | User before & during COVID-19 | Female | 25–34 | Working |
| Interviewee 8 | User before & during COVID-19 | Female | 55–64 | Working |
| Interviewee 9 | User before & during COVID-19 | Male | 55–64 | Working |
| Interviewee 10 | User before & during COVID-19 | Female | 25–34 | Working |
| Interviewee 11 | New User | Male | 35–44 | Working |
| Interviewee 12 | User before & during COVID-19 | Female | 35–44 | Working |
| Interviewee 13 | User before & during COVID-19 | Male | 45–54 | Working |
| Interviewee 14 | User before & during COVID-19 | Male | 25–34 | Working |
| Interviewee 15 | User before & during COVID-19 | Male | 25–34 | Working |
| Interviewee 16 | User before & during COVID-19 | Female | 45–54 | Working |
Themes and subthemes resulting from the thematic analysis as well as the number of times each subtheme was mentioned.
| Theme | Subtheme | Frequency |
|---|---|---|
| COVID-19 effect | 20 | |
| 31 | ||
| 13 | ||
| 4 | ||
| Perceived benefits | 25 | |
| 12 | ||
| 11 | ||
| 10 | ||
| 9 | ||
| Success determinants | 29 | |
| 37 | ||
| 26 | ||
| 42 | ||
| Relationship with other modes | 23 | |
| 55 |
Fig. 3The COVID-19 effect and the interviewees that mentioned each of its associated subthemes.
Fig. 4The Perceived benefits and the interviewees that mentioned each of its associated subthemes.
Fig. 5The Success determinants and the interviewees that mentioned each of its associated subthemes.
Fig. 6The Relationship with other modes of transport and the interviewees that mentioned each of its associated subthemes.