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Assessing potential travel disparities caused by new transport infrastructure in sub-Saharan Africa: an ABM approach

Katontoka, Moses (2021) Assessing potential travel disparities caused by new transport infrastructure in sub-Saharan Africa: an ABM approach.

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Abstract:In sub-Saharan Africa, the urban region continues to grow at an unprecedented rate in the population and physical extent, making the movement of information, goods, and people high on the developmental agenda. Precisely, the united nations, through its SDG 11, recognises the high levels of inequality that exist among people of different socio-spatial economic backgrounds. These inequalities in sub-Saharan Africa are significantly high in transportation and take various forms, such as differences in travel time, distance, destination, travel mode, and the number of trips made by individuals. As many governments and transport agencies aim to reduce travel disparities by providing new transport infrastructure, the paradox of reaching a balance between profit and service provision is often unsolved. However, not many studies have been conducted in Sub-Saharan Africa addressing how new transport infrastructure can be implemented to provide a platform for data-driven decision making by policymakers towards transport investment and planning. Further, because of the lack of data and the cost of collecting this data, other alternatives such as Agent-based modelling provide an opportunity to implement and assess the impacts that new transport infrastructure will have on people of different socio-spatial economic backgrounds. To successfully model these travel disparities, factors that influence Africa's travel behaviour were used to develop and govern agent behaviour in an Agent-based transport environment. The model suggested that new transportation does not necessarily reduce the travel disparities among socio-spatial economic classes but improves the travel behaviour of the lower classes while having the same impact on those in the higher classes. The model also suggests that segregation patterns are critical to inform transport infrastructure suitable for a particular class. However, because the model is stylised, the model needs further development and should be tested with empirical data to make it more realistic.
Item Type:Essay (Master)
Faculty:ITC: Faculty of Geo-information Science and Earth Observation
Programme:Geoinformation Science and Earth Observation MSc (75014)
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