Search

Travelling long distances to access public service facilities is costly and time consuming, especially to those who suffer the burden of poverty and deprivation. Assessing accessibility based on route-based distances does not work well in rural areas of Africa where people often travel along footpaths and dirt roads (in and out of vehicles) that are not mapped, not necessarily well-defined, could vary based on the season or change over short periods of time. The South African government therefore recommended that geographic accessibility be assessed based on a road network that is augmented by connecting communities to the main road network via a triangulated irregular network (TIN). While this method is recommended, a study about its suitability has not been published. We do this by describing an implementation, analysing the results and comparing these to other techniques. In this paper we present and compare the recommended method to geographic accessibility results of two other frequently used distance measuring techniques: 1) straight-line distances; 2) route-based distances in the road network. We applied the techniques to South African Police Service stations in the O.R. Tambo District Municipality, Eastern Cape, South Africa, which is characterized by rural villages scattered across the landscape, not connected to the road network and where data for footpaths and dirt roads does not exist. The results confirm that in the absence of a completely mapped travel network, the recommended method is a suitable alternative for measuring geographic accessibility in rural areas of Africa without having to spend time and money on mapping footpaths and dirt roads that keep on changing anyhow. However, the results reveal sensitivity to the threshold distance and significant local variation depending on distance from urban areas and proximity to natural barriers such as rivers. The latter must be considered when deciding whether to apply the recommended distance measurement technique in rural accessibility studies. Further research could compare the techniques for other study areas and also refine the method, e.g., by experimenting with different algorithms for centroids of populated areas and finding ways to estimate travel speeds on TIN arcs. [ABSTRACT FROM AUTHOR]

Logistics sprawl has been observed in many urban areas around the world, but the assumed link between increased logistics sprawl and increased freight transport activity has little empirical evidence. Because this link could influence policy-making to either fight or facilitate logistics sprawl, this paper investigates the implications of using different methodologies to quantify the relationship. Three different methodologies are compared. The first two methodologies are from well-respected sources in literature and the third is proposed in this paper. The methodologies measure transport activity related to logistics sprawl in three urban areas in South Africa between 2010 and 2014. The results from the methodologies are contradicting with the methodology proposed in this paper questioning the link between logistics sprawl and freight transport activity altogether. The comparison of the methodologies also shows that it is essential to include empirical data of actual vehicle movement when investigating logistics sprawl's impact on transport activity. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has changed the way we go about our daily lives in ways that are unlikely to return to the pre-COVID-19 levels. A key feature of the COVID-19 era is likely to be a rethink of the way we work and the implications on commuting activity. Working from home (WFH) has been the 'new normal' during the period of lockdown, except for essential services that require commuting. In recognition of the new normal as represented by an increasing amount of WFH, this paper develops a model to identify the incidence of WFH and what impact this could have on the number of weekly commuting trips. Using data collected in eight countries (Argentina, Australia, Brazil, Chile, Colombia, Ecuador, Peru and South Africa), we developed a Poisson regression model for the number of days individuals worked from home during the pandemic. Simulated scenarios quantify the impact of the different variables on the probability of WFH by country. The findings provide a reference point as we continue to undertake similar analysis at different points through time during the pandemic and after when restrictions are effectively removed. [ABSTRACT FROM AUTHOR]