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In the context of still-low-but-rising levels of motorization and economic growth, increasing social and spatial inequalities, and growing concerns about air pollution and climate change, the formulation and implementation of policies, practices and partnerships that can support an accelerated implementation of sustainable mobility policies is an urgent concern for rapidly developing cities. This paper seeks to contribute to reframing some of the knowledge and methodologies produced in and about cities of Sub-Saharan Africa, through a comprehensive assessment of mobility patterns and accessibility needs within a larger debate about mobility transitions and sustainable development. By deploying a mixed-methods approach that builds upon case-study focus groups and city-wide accessibility and mobility analysis in the city of Freetown, Sierra Leone's capital, the paper maps travel patterns and their links with structural factors such as urban form, poverty, informality and social identities at the macro, meso and micro levels. The paper also presents evidence from a variety of methods that illustrate the significance of accessibility-centred information and analysis for establishing policy priorities for improving urban mobility and accessibility in the local, African and global contexts. [ABSTRACT FROM AUTHOR]

• Investigates the relationship between poverty and CO 2 emissions. • Analyses Sub-Saharan African countries. • Applies panel quantile regression method. • Confirms the trade-off relationship between poverty and environmental protection. • Recommends alternative policies within the scope of sustainable development goals. Poverty and climate change are important matters to be struggled within the scope of sustainable development goals. However, there may exist a paradoxical situation that implies a trade-off relationship between poverty alleviation and CO 2 emissions reduction efforts. In this context, this paper investigates whether such a relationship existed or not in the 48 Sub-Saharan African countries over the period 2010–2016 by employing a panel quantile regression method. Estimation outputs reveal that there is a strong trade-off between poverty and CO 2 emissions for all quantile levels. Results also provide evidence that access to electricity has a reducing and enhancing effect on poverty and CO 2 emissions, respectively. Results also show that institutional improvements help reducing both poverty and CO 2 emissions. [ABSTRACT FROM AUTHOR]