Research Articles (Geography & Environmental Studies)

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A curated walk with peer researchers and their communities: engaging a research journey toward meaningful impact
(UTS ePRESS, 2025) Rink, Bradley; Porter, Gina; Maskiti, Bulelani
As a collective of peer researchers, scholars and members of a non-profit organisation, we have come together to share a curated walk through low-income communities in Cape Town and London. We do so with the intent of exploring the embodied and social experiences of walking and writing research differently through a collaborative process of listening, co-creating and sharing knowledge about the pedestrian mobilities of young men as mediated by the precarities of urban life. Our walking-writing practices are a hybrid of the actual practices of walking and potential for enacting change by valuing the everyday experiences and knowledge of peer researchers. The curated walk that we share guides readers on the research journey that we have taken together from the homes of those involved to the metaphorical centre of power in the cities/regions where our work takes place, with the intention of long-term, meaningful impact.
A disposable diaper collection project in Langa, Cape Town, South Africa: a pilot study
(Multidisciplinary Digital Publishing Institute (MDPI), 2024) Schenck, Catherina; Grobler, Lizette; Niyobuhungiro, Rissa; Kimani, Alexander
In developing countries, there is currently no established waste management plan that includes resource recovery from used disposable diapers (DDs) apart from incineration and landfilling. In low-income areas with limited storage space, the complex composition and odour of used DDs make it impossible to manage properly if not supported by effective waste management systems. In the absence of effective waste management, DDs are dumped in open spaces, burned or buried. These actions pose threats to the safety and health of humans, animals and the environment. Separation and collection of DDs are critical preliminary steps to landfilling, recycling or beneficiation. In this article, we describe a case study of two pilot collection projects in Langa township in Cape Town, South Africa, to determine whether and how a source-separated collection system can work in low-income, resource-constrained areas. The lessons learned highlighted the following: The eagerness of parents to participate for the benefit of their own and their children’s health; the complementarity of the two pilot collection models to serve the needs of the community; the important role non-government organisations play in the implementation of waste management projects; the significance of the possible job creation opportunities and the unintended benefits of enhancing social cohesion. The financial sustainability of these projects needs further exploration.
Activity-based market segmentation of visitors to thermal spring resorts in the Western Cape Province, South Africa: Assessing the potential for health tourism development
(University of the Western Cape, Department of Geography and Environmental Studies, 2013) Boekstein, Mark; Spencer, John
There are eight thermal spring resorts in the Western Cape. Only one of these resorts has a focus on health and wellness, with the others functioning primarilyas family leisure resorts. Considering apparent domestic and international preferences, it would seem that a potentially valuable natural resource, that is, mineral-rich thermal spring water, is not being optimally utilized as a tourist attraction in the Western Cape. This research set out to assess the potential for health tourism development of thermal springs in the Western Cape. A questionnaire-based survey was undertaken, involving 383 respondents at six resorts, and activity-based market segmentation was carried out using k-means cluster analysis. A four-segment typology of current visitors, based on activity preferences, was compiled. It was found that the main divisions between visitors are, firstly, between �active� visitors who generally desire and make use of facilities and organised entertainment, and �passive� visitors, who make little to no use of facilities and organised entertainment; and secondly, between visitors who choose activities mainly for themselves, and those who choose activities for both themselves and their children. One of the four segments appears to show particular interest in both medical and wellness health tourism activities. However, most visitors, through their choice of activities, are able to gain considerable health benefits from their stays at thermal spring resorts, but they do so in different ways, and this is reflected in various combinations of active and passive activities.
African Migrants, Xenophobia and Urban Violence in Post-apartheid South Africa
(University of the Western Cape, Department of Geography and Environmental Studies, 2013) Tevera, Daniel
The urban space in South Africa is increasingly becoming a troubled terrain of xenophobic violence. In recent years xenophobia has emerged as one of the major contributing factors to urban violence in several African countries and the phenomenon is becoming an urban management challenge that deserves academic inquiry and policy attention. Yet most of the academic research into the incidence and causes of xenophobic violence has not explored the connections between urbanity and xenophobia. This article aims to contribute to the debate by examining the broader relationship between xenophobia and urban violence in South African cities and by pulling together the latest literature into creating a better understanding of xenophobia in urban spaces. This article provides an assessment of xenophobia in contemporary South Africa within the context of the on-going and important debate regarding the extent to which poverty and poor service delivery are determinants of urban violence. In addition, it argues that debates surrounding the complex spaces of deprivation in urban areas, citizenship and belonging should be central to the discourses on violence in South Africa�s cities, which in many ways are still struggling to erase the imprint of apartheid. Xenophobic violence in cities is a phenomenon that deserves policy attention and direct intervention by central government, local authorities and community leaders.
'Africanisation' of South Africa's international air links, 1994-2003
(Elsevier, 2006) Pirie, Gordon
In the first decade of democratic rule in South Africa scheduled commercial passenger flights across the country�s borders more than doubled. Additional flights served new African air passenger markets and secondary airports in established markets. Overseas flights increased more slowly, serving a diminishing number of overseas countries and cities. In 1994 the Republic was linked directly by air with more overseas than African countries and cities; within a decade the pattern reversed. The changing geography of South Africa�s international air links reflects developments in the international airline industry, and South Africa�s increasingly prominent political and commercial role in Africa.
Application of drone technologies in surface water resources monitoring and assessment: A systematic review of progress, challenges, and opportunities in the global south
(MPDI, 2021) Sibanda, Mbulisi; Mutanga, Onisimo; Chimonyo, Vimbayi G. P.
Accurate and timely information on surface water quality and quantity is critical for various applications, including irrigation agriculture. In-field water quality and quantity data from unmanned aerial vehicle systems (UAVs) could be useful in closing spatial data gaps through the generation of near-real-time, fine resolution, spatially explicit information required for water resources accounting. This study assessed the progress, opportunities, and challenges in mapping and modelling water quality and quantity using data from UAVs. To achieve this research objective, a systematic review was adopted. The results show modest progress in the utility of UAVs, especially in the global south. This could be attributed, in part, to high costs, a lack of relevant skills, and the regulations associated with drone procurement and operational costs. The progress is further compounded by a general lack of research focusing on UAV application in water resources monitoring and assessment. More importantly, the lack of robust and reliable water quantity and quality data needed to parameterise models remains challenging. However, there are opportunities to advance scientific inquiry for water quality and quantity accounting by integrating UAV data and machine learning.
Assessing the prospects of remote sensing maize leaf area index using uav-derived multi-spectral data in smallholder farms across the growing season
(MDPI, 2023) Buthelezi, Siphiwokuhle; Mutanga, Onisimo; Sibanda, Mbulisi
Maize (Zea Mays) is one of the most valuable food crops in sub-Saharan Africa and is a critical component of local, national and regional economies. Whereas over 50% of maize production in the region is produced by smallholder farmers, spatially explicit information on smallholder farm maize production, which is necessary for optimizing productivity, remains scarce due to a lack of appropriate technologies. Maize leaf area index (LAI) is closely related to and influences its canopy physiological processes, which closely relate to its productivity. Hence, understanding maize LAI is critical in assessing maize crop productivity. Unmanned Aerial Vehicle (UAV) imagery in concert with vegetation indices (VIs) obtained at high spatial resolution provides appropriate technologies for determining maize LAI at a farm scale. Five DJI Matrice 300 UAV images were acquired during the maize growing season, and 57 vegetation indices (VIs) were generated from the derived images.
Assessment of cyclone idai floods on local food systems and disaster management responses in Mozambique and Zimbabwe
(Springer, Cham, 2021) Tevera, Daniel; Sibanda, Melusi; Mamba, Sipho Felix
In recent years, countries in southern Africa have experienced frequent hydro-meteorological disasters, such as widespread flooding caused by tropical cyclones. This chapter takes a close look at the destructive aspects of tropical cyclone Idai in Mozambique and Zimbabwe and the emergency disaster management responses. The chapter also seeks to understand the impact of the cyclone on food systems. The chapter is based on a desktop study that made use of scholarly publications and various media and organisation reports as the main sources of secondary data. A key finding of the study is that as the cyclone swept across the two countries, it exposed the fragilities of the local food systems, thereby presenting food insecurity challenges that potentially undermined the drive towards the achievement of Sustainable Development Goal (SDG) 2 on hunger eradication. The other finding is that the disaster management responses in both countries focussed on the emergency needs in the affected areas without giving much attention to making the food systems more resilient.
Black Belonging, White Belonging: Primitive Accumulation in South Africa's Private Nature Reserves
(Wiley, 2023) Thakholi, L; Koot, S
victions have been shown to be a mechanism of primitive accumulation in nature conservation. This paper adds an historical analysis to the discussion on primitive accumulation in conservation by exploring the seemingly innocuous mechanism of White belonging to land in South Africa's private nature reserves. Contemporary articulations of White belonging are replete with stories and images of White male �pioneers� from the colonial era who, upon arrival in �empty lands�, were able to create economies out of nothing. Such representations of history on private nature reserve websites and other promotional material invisibilise Black belonging and legitimise private conservation. By illuminating the inconsistencies in the empty lands narrative and the legacies of three championed conservation pioneers from the 19th century, this paper argues that White belonging is a mechanism of primitive accumulation, while Black belonging continues to be expressed in various ways in contemporary South Africa.
Boon or bane? Urban food security and online food purchasing during the Covid-19 epidemic in Nanjing, China
(MDPI, 2022) Liang, Yajia; Zhong, Taiyang; Crush, Jonathan
This paper examines the relationship between the rapid growth of online food purchasing and household food security during the first wave of the COVID-19 pandemic in China using the city of Nanjing as a case study. The paper presents the results of an online survey of 968 households in Nanjing in March 2020 focused on their food purchasing behavior and levels of food security during the early weeks of the pandemic. While online food purchasing has increased rapidly in many countries during the COVID-19 pandemic, little research attention has been paid to the relationship between online food purchasing and household food security. This paper provides detailed insights into this relationship in China. The medium- and longer-term food security and other consequences of the pandemic pivot to online food purchasing are a fertile area for future research in China and elsewhere.
Boundaries of benefit sharing: interpretation and application of substantive rules in the Lake Malawi/Niassa/Nyasa sub?basin of the Zambezi Watercourse
(Springer, 2023) Fatch, Joanna; Bolding, Alex; Swatuk, Larry A.
questions regarding how riparian states determine �who gets what, where, and why� in a shared watercourse. To facilitate peaceful coexistence, substantive rules��equitable and reasonable utilisation (ERU)� and �the duty to prevent the causing of significant harm�� define rights and responsibilities of riparian states in the utilisation of shared watercourses. The duty of riparian states to cooperate, as a principle of international law, plays an important part in realising these substantive rules. This article critically reflects on the principles underlying transboundary water management by focusing on the interpretation and application of substantive rules in the Lake Malawi/Niassa/Nyasa sub-basin of the Zambezi River Basin in Southern Africa. The case study demonstrates how interpretation and application of international water law are generally in line with customary practices, but are subject to highly localised decision contexts which challenge Southern African Development Community (SADC) attempts to establish a firm legal foundation upon which to guide access, use and management across the region�s shared river basins.
Camp Lwandle: Rehabilitating a migrant labour hostel at the seaside
(Routledge Taylor Francis Group, 2013) Murray, No�leen; Witz, Leslie
In southern African narratives of migrant labour, hostels and compounds are represented as typical examples of colonial and apartheid planning. Visual and spatial comparisons are consistently made between the regulatory power of hostels and those of concentration camps. Several of these sites of violence and repression are today being reconfigured as sites of conscience, their artefactual presence on the landscape being constructed as places of remembrance. In this trajectory, a space of seeming anonymity in Lwandle, some 40 km outside of Cape Town, was identified by the newly established museum, at the beginning of the twenty-first century, as a structure of significance. The migrant labour compound in Lwandle, of which Hostel 33 is the last remnant, was designed by planners and engineers and laid out as part of a labour camp for male migrant workers in the 1950s. This article explores the ambitious project initiated in 2008, by the Lwandle Migrant Labour Museum (and funded largely by the US Ambassadors Cultural Restoration Fund), to restore Hostel 33. Although Hostel 33 was not a very old structure, having been built in 1958/9, nor was it easily considered to have conventional architectural significance, its material presence in present-day Lwandle represents a reminder of the conditions of life in the labour camp. The article traces the work entailed in the restoration process through paying attention to both the built fabric and its materiality, and by giving an account of the explorations into finding ways to restore the hostel to the museum through making it into a site of significance. In place of the centrality of the building as the object of restoration, the work shifted to considering how the hostel could function most effectively as a stage and destination for the Museum�s narrations of the past. Retaining and maintaining Hostel 33 was less concerned with the fabric as an empirical fact of the past, than with its projection into an envisaged future for museum purposes.
Cape Town as Africa's gateway for tourism to Antarctica - development potential and need for regulation
(2014) Boekstein, Mark
Cape Town is one of the five Antarctic gateway cities from which ships and aircraft travel to and from various parts of Antarctica and the sub-Antarctic islands. Gateway cities are used by government scientific expeditions, as well as for tourism. While tourism to Antarctica is increasing rapidly, most of it occurs from the South American gateways of Ushuaia and Punta Arenas, and to a lesser extent from Christchurch (New Zealand) and Hobart (Australia). The Cape Town-Antarctica tourism industry is relatively undeveloped in comparison to other gateway cities, mainly because the distance to Antarctica from the South American gateways is considerably less than from Cape Town. In 2009 the City of Cape Town signed the Southern Rim Gateway Cities Agreement, joining the other gateway cities in an agreement to cooperate on issues such as science, education, logistics, business opportunities and tourism. Tourism to Antarctica and the sub-Antarctic islands, and the regulation thereof, is discussed in the light of the fact that South Africa, unlike countries like Australia, does not have any specific policy to develop or regulate tourism to Antarctica, neither to its own bases, nor to other parts of Antarctica accessible from Cape Town by ship or air. This paper considers the development potential of Cape Town as a gateway for tourism to Antarctica and the sub-Antarctic islands, with recommendations for particular types of tourism development, in specific locations, and suggestions for both growing and regulating the industry.
Community as utopia: Reflections on De Waterkant
(Springer, 2008) Rink, Bradley M.
This paper will reflect on research currently in progress in Cape Town's De Waterkant neighbourhood�an area also known as Cape Town's 'gay village'. This paper engages the literature of utopia as a framework of analysis for interrogating the performance of community�while at the same time problematising the terms "community" and "utopia" upon which much geographical description of the area is based. This research argues that both 'comforting' and 'unsettling' relational achievements amongst the human and non-human actors in De Waterkant function as building blocks of real or imagined community and further recognises multiple tensions that affect the formation of community and the pursuit of utopia in the South African urban context.
A comparative estimation of maize leaf water content using machine learning techniques and unmanned aerial vehicle (uav)-based proximal and remotely sensed data
(MPDI, 2021) Ndlovu, Helen S.; Odindi, John; Sibanda, Mbulisi
Determining maize water content variability is necessary for crop monitoring and in developing early warning systems to optimise agricultural production in smallholder farms. However, spatially explicit information on maize water content, particularly in Southern Africa, remains elementary due to the shortage of efficient and affordable primary sources of suitable spatial data at a local scale. Unmanned Aerial Vehicles (UAVs), equipped with light-weight multispectral sensors, provide spatially explicit, near-real-time information for determining the maize crop water status at farm scale. Therefore, this study evaluated the utility of UAV-derived multispectral imagery and machine learning techniques in estimating maize leaf water indicators: equivalent water thickness (EWT), fuel moisture content (FMC), and specific leaf area (SLA). The results illustrated that both NIR and red-edge derived spectral variables were critical in characterising the maize water indicators on smallholder farms. Furthermore, the best models for estimating EWT, FMC, and SLA were derived from the random forest regression (RFR) algorithm with an rRMSE of 3.13%, 1%, and 3.48%, respectively. Additionally, EWT and FMC yielded the highest predictive performance and were the most optimal indicators of maize leaf water content. The findings are critical towards developing a robust and spatially explicit monitoring framework of maize water status and serve as a proxy of crop health and the overall productivity of smallholder maize farms.
Comparing machine learning algorithms for estimating the maize crop water stress index (CWSI) using UAV-acquired remotely sensed data in smallholder croplands
(Multidisciplinary Digital Publishing Institute (MDPI), 2024) Kapari, Mpho; Sibanda, Mbulisi; Magidi, James
Monitoring and mapping crop water stress and variability at a farm scale for cereals such as maize, one of the most common crops in developing countries with 200 million people around the world, is an important objective within precision agriculture. In this regard, unmanned aerial vehicle-obtained multispectral and thermal imagery has been adopted to estimate the crop water stress proxy (i.e., Crop Water Stress Index) in conjunction with algorithm machine learning techniques, namely, partial least squares (PLS), support vector machines (SVM), and random forest (RF), on a typical smallholder farm in southern Africa. This study addresses this objective by determining the change between foliar and ambient temperature (Tc-Ta) and vapor pressure deficit to determine the non-water stressed baseline for computing the maize Crop Water Stress Index. The findings revealed a significant relationship between vapor pressure deficit and Tc-Ta (R2 = 0.84) during the vegetative stage between 10:00 and 14:00 (South Africa Standard Time). Also, the findings revealed that the best model for predicting the Crop Water Stress Index was obtained using the random forest algorithm (R2 = 0.85, RMSE = 0.05, MAE = 0.04) using NDRE, MTCI, CCCI, GNDVI, TIR, Cl_Red Edge, MTVI2, Red, Blue, and Cl_Green as optimal variables, in order of importance. The results indicated that NIR, Red, Red Edge derivatives, and thermal band were some of the optimal predictor variables for the Crop Water Stress Index. Finally, using unmanned aerial vehicle data to predict maize crop water stress index on a southern African smallholder farm has shown encouraging results when evaluating its usefulness regarding the use of machine learning techniques. This underscores the urgent need for such technology to improve crop monitoring and water stress assessment, providing valuable insights for sustainable agricultural practices in food-insecure regions.
Comparing the utility of artificial neural networks (ANN) and convolutional neural networks (CNN) on sentinel-2 msi to estimate dry season aboveground grass biomass
(Multidisciplinary Digital Publishing Institute (MDPI), 2024) Vawda, Mohamed Ismail; Lottering, Romano; Sibanda, Mbulisi
Grasslands are biomes of significant fiscal, social and environmental value. Grassland or rangeland management often monitors and manages grassland productivity. Productivity is determined by various biophysical parameters, one such being grass aboveground biomass. Advancements in remote sensing have enabled near-real-time monitoring of grassland productivity. Furthermore, the increase in sophisticated machine learning algorithms has provided a powerful tool for remote sensing analytics. This study compared the performance of two neural networks, namely, Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN), in predicting dry season aboveground biomass using open-access Sentinel-2 MSI data. Sentinel-2 spectral bands and derived vegetation indices were used as input data for the two algorithms. Overall, findings in this study showed that the deep CNN outperformed the ANN in estimating aboveground biomass with an R2 of 0.83, an RMSE of 3.36 g/m2 and an RMSE% of 6.09. In comparison, the ANN produced an R2 of 0.75, an RMSE of 5.78 g/m2 and an RMSE% of 8.90. The sensitivity analysis suggested that the blue band, Green Chlorophyll Index (GCl), and Green Normalised Difference Vegetation Index (GNDVI) were the most significant for model development for both neural networks. This study can be considered a pilot study as it is one of the first to compare different neural network performances using freely available satellite data. This is useful for more rapid biomass estimation, and this study exhibits the great potential of deep learning for remote sensing applications.
Comprehensive food system planning for urban food security in Nanjing, China
(MPDI, 2021) Zhong, Taiyang; Si, Zhenzhong; Crush, Jonathan
Food system planning is important to achieve the goal of �zero hunger� in the UN�s 2030 Agenda for Sustainable Development (UN, 2016). However, discussion about comprehensive planning for food security is scarce and little is known about the situation in Chinese cities. To narrow this gap, this study collected and analyzed four medium-term plans and two annual plans for the �vegetable basket project� in Nanjing, China. This study examines the strategies for urban food security in Nanjing to shed light on how the city developed a comprehensive approach to food system planning over the past three decades. The evolution of incremental food system planning in Nanjing provides valuable lessons for other cities facing food security challenges and shortages of financial resources. Reducing food insecurity is an ongoing challenge for the city governments in the Global South and comprehensive planning is a useful tool for addressing the challenge of urban food insecurity.
Covid-19 and urban food security in Ghana during the third wave
(MDPI, 2023) Onyango, Elizabeth Opiyo; Owusu, Bernard; Crush, Jonathan S.
While the effects of the COVID-19 pandemic on household food security have been documented, the intensity and forms of food insecurity in urban households in the Global South have not been adequately explored. This is despite the emerging consensus that impacts of the pandemic were more severe in urban than rural Africa. This paper addresses this knowledge gap by examining the relationship between pandemic precarity and food insecurity in Ghana�s urban areas during the COVID-19 pandemic in 2020. This study is based on the World Bank (WB) and Ghana Statistical Service (GSS) COVID-19 High-Frequency Phone Survey. Using a sub-sample of 1423 urban households, the paper evaluates household experiences of the pandemic. Our findings show that household demographic characteristics are not a major predictor of food insecurity. Economic factors, especially the impact of the pandemic on wage income and total household income, were far more important, with those most affected being most food insecure.
Crop mapping in smallholder farms using unmanned aerial vehicle imagery and geospatial cloud computing infrastructure
(Elsevier Ltd, 2024) Gokool, Shaeden; Sibanda, Mbulisi; Mahomed, Maqsooda
Smallholder farms are major contributors to agricultural production, food security, and socio-economic growth in many developing countries. However, they generally lack the resources to fully maximize their potential. Subsequently they require innovative, evidence-based and lower-cost solutions to optimize their productivity. Recently, precision agricultural practices facilitated by unmanned aerial vehicles (UAVs) have gained traction in the agricultural sector and have great potential for smallholder farm applications. Furthermore, advances in geospatial cloud computing have opened new and exciting possibilities in the remote sensing arena. In light of these recent developments, the focus of this study was to explore and demonstrate the utility of using the advanced image processing capabilities of the Google Earth Engine (GEE) geospatial cloud computing platform to process and analyse a very high spatial resolution multispectral UAV image for mapping land use land cover (LULC) within smallholder farms. The results showed that LULC could be mapped at a 0.50 m spatial resolution with an overall accuracy of 91%. Overall, we found GEE to be an extremely useful platform for conducting advanced image analysis on UAV imagery and rapid communication of results.

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