| Literature DB >> 34171020 |
Emmanuel Mogaji1,2.
Abstract
The growing number of studies on the impact of COVID-19 is often discussed in the context of developed countries, highlighting a gap in the understanding of how the pandemic is impacting developing countries. This theoretical commentary focuses on the present and long-term impact of COVID-19 on transportation in Lagos State, Nigeria. The paper recognises the effect on transportation in emerging economies, where lockdowns and restrictions on movement may be ineffective, a state with high population density, poor transportation infrastructure and a large informal economy. Adopting the 'avoid-shift-improve' framework, this paper presents practical implications for public and private sector policymakers, as they navigate this precarious time and chart a new path for individuals and Nigeria.Entities:
Keywords: COVID-19; Lagos; Nigeria; Social distancing; Transportation
Year: 2020 PMID: 34171020 PMCID: PMC7290214 DOI: 10.1016/j.trip.2020.100154
Source DB: PubMed Journal: Transp Res Interdiscip Perspect
Fig. 1Density mapping of the pandemic incidence in the state. Image modified from Fagbohun et al. (2020), Farinloye and Adeola (2020).
Demographics Information.
| N = 329 | % | |
|---|---|---|
| Gender | ||
| Female | 177 | 53.8 |
| Male | 152 | 46.2 |
| Age group | ||
| 18–35 | 157 | 47.7 |
| 36–50 | 129 | 39.2 |
| 50 above | 43 | 13.1 |
| Employment status | ||
| Essential Worker | 91 | 27.7 |
| Non-Essential Worker (Public) | 22 | 6.7 |
| Non-Essential Worker (Private) | 89 | 27.1 |
| Self Employed/Business Owners | 103 | 31.3 |
| Not Employed. | 24 | 7.3 |
| The usual mode of transportation | ||
| Public Transport | 172 | 52.3 |
| Private Car/Motorcycle | 147 | 44.7 |
| Walking | 10 | 3.0 |
| Cycling | 0 | 0 |
| Major impact of COVID-19 on Transportation in Lagos? | ||
| Cost of Transportation | 176 | 53.5 |
| Shortage/lack of Transportation mode | 72 | 21.9 |
| Traffic congestion | 50 | 15.2 |
| Social distancing | 31 | 9.4 |
Correlation.
| Impact on Transportation | ||
|---|---|---|
| Impact on Transportation | Pearson Correlation | 1 |
| Sig. (2-tailed) | ||
| N | 329 | |
| Economic Activities | Pearson Correlation | 0.442⁎⁎ |
| Sig. (2-tailed) | 0.000 | |
| N | 329 | |
| Social Activities | Pearson Correlation | 0.313⁎⁎ |
| Sig. (2-tailed) | 0.000 | |
| N | 329 | |
| Religious Activities | Pearson Correlation | 0.274⁎⁎ |
| Sig. (2-tailed) | 0.000 | |
| N | 329 |
One-Way Anova (Analysis of Variance) Test
| Sum of Squares | df | Mean Square | F | Sig. | ||
|---|---|---|---|---|---|---|
| Economic Activities | Between Groups | 54.088 | 4 | 13.522 | 26.478 | 0.000 |
| Within Groups | 165.462 | 324 | 0.511 | |||
| Total | 219.550 | 328 | ||||
| Social Activities | Between Groups | 20.073 | 4 | 5.018 | 12.666 | 0.000 |
| Within Groups | 128.370 | 324 | 0.396 | |||
| Total | 148.444 | 328 | ||||
| Religious Activities | Between Groups | 17.986 | 4 | 4.496 | 8.547 | 0.000 |
| Within Groups | 170.458 | 324 | 0.526 | |||
| Total | 188.444 | 328 | ||||
The ‘avoid-shift-improve’ framework.
| Avoid | Shift | Improve |
|---|---|---|
| Avoid further disruption to transportation service provision by evaluating existing measures. | The policymakers need to manage the existing infrastructure. | Optimising the transport infrastructure and making sure they are sustainable to meet the growing demands of commuters. |