Showing items 1 - 17 of 17

A land suitability analysis of the Vhembe district, South Africa, the case of maize and sorghum

- Mufungizi, A. A., Musakwa, W., Gumbo, T.

An analysis to investigate spatial cognitive factors which influence cycling patterns in Johannesburg

- Moyo, T., Musakwa, W., Mokoena, B. T.

  • Authors: Moyo, T. , Musakwa, W. , Mokoena, B. T.
  • Date: 2018
  • Subjects: Multi-modal , Cycling , Spatial Cognition
  • Language: English
  • Type: Conference proceedings
  • Identifier: http://hdl.handle.net/10210/288492 , uj:31279 , Citation: Moyo, T., Musakwa, W. & Mokoena, B.T. 2018. An analysis to investigate spatial cognitive factors which influence cycling patterns in Johannesburg.
  • Description: Abstract: Cycling in most African cities is done as either a mode of commuting or for recreational purposes. Apart from Smart cities encouraging a shift from cars to public transport by providing efficient last-mile connections, commuter cycling can take a significant share of end-to-end short distance trips. The ultimate realization of cycling merits by urban dwellers, (such as in Johannesburg, South Africa) is hindered by a lack of appropriate data to aid in understanding the dynamics of cycling behaviour. This paper seeks to be the first step in building a multi-model to govern the use of multi-modes of mobility in the city by initial focusing on promoting NMT usage as a mode of commuting in the city. Identification of these factors would go a long way in improving cycling uptake as well as inform policy strategies for non-motorized transportation in the city. Using an analytical approach, the authors conducted a survey along pre-known locations were cyclist choose to cycle. One route with newly developed cycling infrastructure and another without cycling infrastructure. A self-reported travel behaviour form, was used for the collection of spatial cognitive and attitudinal data on participants’ travel environment, attitude, behaviour, norm, intention, and habit was utilized to gather data to understand cyclist cognitive reasoning for choosing one path over another. The data collected from the survey was then overlaid with Strava Metro cycling data showing locations were cyclist prefer to cycle in the city. Findings from the analysis suggest perceived safe routes and routes that maximize health benefits are preferred. Based on the findings it is recommended that planners need to use crowd sourced data before developing infrastructure for cycling the city.
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Built-up area and land cover extraction using high resolution Pleiades Satellite Imagery for Midrand, in Gauteng Province, South Africa

- Fundisi, E., Musakwa, W.

  • Authors: Fundisi, E. , Musakwa, W.
  • Date: 2017
  • Subjects: Land cover , Built-up , Urban
  • Language: English
  • Type: Conference proceedings
  • Identifier: http://hdl.handle.net/10210/243855 , uj:25209 , Citation: Fundisi, E. & Musakwa, W. 2017. Built-up area and land cover extraction using high resolution Pleiades Satellite Imagery for Midrand, in Gauteng Province, South Africa.
  • Description: Abstract: Urban areas, particularly in developing countries face immense challenges such as climate change, poverty, lack of resources poor land use management systems, and week environmental management practices. Mitigating against these challenges is often hampered by lack of data on urban expansion, urban footprint and land cover. To support the recently adopted new urban agenda 2030 there is need for the provision of information to support decision making in the urban areas. Earth observation has been identified as a tool to foster sustainable urban planning and smarter cities as recognized by the new urban agenda, because it is a solution to unavailability of data. Accordingly, this study uses high resolution EO data Pleiades satellite imagery to map and document land cover for the rapidly expanding area of Midrand in Johannesburg, South Africa. An unsupervised land cover classification of the Pleiades satellite imagery was carried out using ENVI software, whereas NDVI was derived using ArcGIS software. The land cover had an accuracy of 85% that is highly adequate to document the land cover in Midrand. The results are useful because it provides a highly accurate land cover and NDVI datasets at localised spatial scale that can be used to support land use management strategies within Midrand and the City of Johannesburg South Africa.
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Developing a decision support system to identify strategically located land for land reform in South Africa

- Musakwa, W., Makoni, E.N., Kangethe, M., Segooa, L.

Exploring the potential of crowd sourced data to map commuter points of interest : a case study of Johannesburg

- Moyo, T., Musakwa, W.

  • Authors: Moyo, T. , Musakwa, W.
  • Date: 2019
  • Subjects: Commuter , Johannesburg , Mobility
  • Language: English
  • Type: Conference proceedings
  • Identifier: http://hdl.handle.net/10210/400878 , uj:33477 , Citation: Moyo, T. & Musakwa, W. 2019. Exploring the potential of crowd sourced data to map commuter points of interest : a case study of Johannesburg.
  • Description: Abstract: Modern African cities are faced with various mobility and transportation challenges. In developing smart sustainable cities, city planners need to create a balance between supply and demand for public transportation. Development of multi-mobility mode models has contemporarily received a special interest in smart cities development. Globally, the use of bike sharing services to complete the first kilometre or last kilometre of the trip has been highly received, with commuters using either rail or road mobility modes for the middle section of their trip. Within the developing world context, the use of multi-mobility modes in daily commuting is still new, and little research has been done to guide this. Notwithstanding the influence of uncertainties and fragmentation over demand and supply in public transportation provision. In the South Africa context, various modes of public transportation have been developed which seek to be smart, sustainable and efficient such as the fast train (Gautrain), Bus rapid transport (Rea Vaya and Gaubus) and Bikes sharing platforms (Upcycles), however most of these modes are currently not spatially connected. Hence the researcher sought to develop a stepping stone in planning for future mobility demand. Using an explorative methodology, the authors collected quantitative and spatial data in the form of land-use data and crowd sourced data (from twitter) to map commuter points of interest in and around the city of Johannesburg. The results reveal hot and cold spots in the city. The hot spots reveal areas where commuters frequently travel to, and when overlaid with transportation data, we are able to identify potential locations to develop new transportation hubs as these will overtime become key points of interest.
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Exploring the potential of crowd sourced data to map commuter points of interest : a case study of Johannesburg

- Moyo, T., Musakwa, W.

  • Authors: Moyo, T. , Musakwa, W.
  • Date: 2019
  • Subjects: Commuter , Mobility , Crowd sourced data
  • Language: English
  • Type: Conference proceedings
  • Identifier: http://hdl.handle.net/10210/401833 , uj:33602 , Citation: Moyo, Thembani & Musakwa, Walter. (2019). EXPLORING THE POTENTIAL OF CROWD SOURCED DATA TO MAP COMMUTER POINTS OF INTEREST: A CASE STUDY OF JOHANNESBURG. 10.5194/isprs-archives-XLII-2-W13-1587-2019.
  • Description: Abstract: Modern African cities are faced with various mobility and transportation challenges. In developing smart sustainable cities, city planners need to create a balance between supply and demand for public transportation. Development of multi-mobility mode models has contemporarily received a special interest in smart cities development. Globally, the use of bike sharing services to complete the first kilometre or last kilometre of the trip has been highly received, with commuters using either rail or road mobility modes for the middle section of their trip. Within the developing world context, the use of multi-mobility modes in daily commuting is still new, and little research has been done to guide this. Notwithstanding the influence of uncertainties and fragmentation over demand and supply in public transportation provision. In the South Africa context, various modes of public transportation have been developed which seek to be smart, sustainable and efficient such as the fast train (Gautrain), Bus rapid transport (Rea Vaya and Gaubus) and Bikes sharing platforms (Upcycles), however most of these modes are currently not spatially connected. Hence the researcher sought to develop a stepping stone in planning for future mobility demand. Using an explorative methodology, the authors collected quantitative and spatial data in the form of land-use data and crowd sourced data (from twitter) to map commuter points of interest in and around the city of Johannesburg. The results reveal hot and cold spots in the city. The hot spots reveal areas where commuters frequently travel to, and when overlaid with transportation data, we are able to identify potential locations to develop new transportation hubs as these will overtime become key points of interest.
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Exploring the potential of open source data to generate congestion and emission trends in developing cities

- Moyo, T., Kibangou, A., Musakwa, W.

  • Authors: Moyo, T. , Kibangou, A. , Musakwa, W.
  • Date: 2020
  • Subjects: Emission , Congestion , COVID-19
  • Language: English
  • Type: Conference proceedings
  • Identifier: http://hdl.handle.net/10210/437133 , uj:37949 , Citation: Moyo, T., Kibangou, A. & Musakwa, W. 2020. Exploring the potential of open source data to generate congestion and emission trends in developing cities.
  • Description: Abstract: The growth in Intelligent Transportation Systems (ITS) has enhanced the way mobility in contemporary cities is managed. Given the growth in availability of traffic data that contains location-aware datasets, congestion and pollution indexes can be developed. Metropolitan cities such Johannesburg due to their economic activities, attract commuters into the city on a daily basis seeking greener pastures. This has led to major freeways and roads experiencing high levels of congestion. In 2020, due to a global pandemic of an outbreak of Corona Virus (COVID-19), the national government declared a national shutdown with only essential traffic being allowed to operate. Given the scenario of the national lock-down this allows for the statistical analysis of the impact of essential traffic on the overall transportation system. Consequently the aim of the paper was to explore the congestion and C02 emission impact of essential traffic for the City of Johannesburg. Using an exploratory approach, we monitored and collected traffic congestion data from the Tomtom traffic index for the metropolitan city of Johannesburg, South Africa. Using a mathematic model, we develop a relationship between congestion and pollution to visualise the variations in pollution and congestion levels during varies scenarios. We demonstrate this by comparing datasets for variations in congestion levels in two epochs, viz the period without movement restrictions and the period whereby movement is restricted. The results reveal essential traffic on the congestion index to be below 22 percent for both weekends and weekdays. A scenario common only during weekends in 2019. Whilst for the emission index, C02 levels are approximately less than 45 percent throughout the week. The paper concludes the investment into mining and analysing traffic data has a significantly role for future mobility planning in both the developed and developing world and, more generally, improving the quality of commuting trips in the city.
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Implications of land use change for the sustainability of urban areas: A case study of Stellenbosch, South Africa

- Musakwa, W., Van Niekerk, A.

Mobile GIS: a tool for informal settlement occupancy audit to improve integrated human settlement implementation in Ekurhuleni, South Africa

- Mokoena, B. T., Musakwa, W.

  • Authors: Mokoena, B. T. , Musakwa, W.
  • Date: 2016
  • Subjects: Mobile gis , Occupancy audit , Informal settlements , Integration , Ekurhuleni
  • Language: English
  • Type: Conference proceedings
  • Identifier: http://hdl.handle.net/10210/94042 , uj:20423 , Citation: Mokoena, B. T. & Musakwa, W. 2016. Mobile gis: a tool for informal settlement occupancy audit to improve integrated human settlement implementation in Ekurhuleni, South Africa.
  • Description: Abstract: Upgrading and relocating people in informal settlements requires consistent commitment, good strategies and systems so as to improve the lives of those who live in them. In South Africa, in order to allocate subsidised housing to beneficiaries of an informal settlement, beneficiary administration needs to be completed to determine the number of people who qualify for a subsidised house. Conventional methods of occupancy audits are often unreliable, cumbersome and non-spatial. Accordingly, this study proposes the use of mobile GIS to conduct these audits to provide up-to-date, accurate, comprehensive and real-time data so as to facilitate the development of integrated human settlements. An occupancy audit was subsequently completed for one of the communities in the Ekurhuleni municipality, Gauteng province, using web-based mobile GIS as a solution to providing smart information through evidence based decision making. Fieldworkers accessed the off-line capturing module on a mobile device recording GPS coordinates, socio-economic information and photographs. The results of this audit indicated that only 56.86% of the households residing within the community could potentially benefit from receiving a subsidised house. Integrated residential development, which includes fully and partially subsidised housing, serviced stands and some fully bonded housing opportunities, would then be key to adequately providing access to suitable housing options within a project in a post-colonial South Africa, creating new post-1994 neighbourhoods, in line with policy. The use of mobile GIS therefore needs to be extended to other informal settlement upgrading projects in South Africa.
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Modelling of natural fire occurrences : a case of South Africa

- Moyo, T., Musakwa, W., Nyathi, N. A., Mpofu, E., Gumbo, T.

  • Authors: Moyo, T. , Musakwa, W. , Nyathi, N. A. , Mpofu, E. , Gumbo, T.
  • Date: 2020
  • Subjects: Natural fire , Global warming , Local Moran
  • Language: English
  • Type: Conference proceedings
  • Identifier: http://hdl.handle.net/10210/437165 , uj:37952 , Citation: Moyo, T. et al. 2020. Modelling of natural fire occurrences : a case of South Africa.
  • Description: Abstract: In contemporary literature there have been growing concerns regarding preservations of natural ecosystems. Given the global growth in awareness of global warming, the need for natural fire prediction models has grown rapidly. Using South Africa as a case study, we evaluate the potential of integrating several natural fire prediction models and geographical information system (GIS) platforms. Initially, natural fire prone regions in South Africa were spatially demarcated basing on municipal historical data records. Thereafter, the natural fire prediction models were applied/tested in parallel to identify the best prediction models that give optimum results in predicting natural fires. The models were assessed for accuracy using historical data. Preliminary results reveal locations in the North West, Mpumalanga and Limpopo province had the highest recorded potential for natural fires. In conclusion, the work demonstrates huge potential of prediction models in informing the likelihood of natural fire outbreaks. Lastly, the work recommends the adoption of natural fire prediction models and the subsequent formulation and use of relevant future natural fire mitigation policies and techniques to avert disasters in time.
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Ranking nodes in complex networks : a case study of the Gaubus

- Moyo, T., Musakwa, W.

  • Authors: Moyo, T. , Musakwa, W.
  • Date: 2016
  • Subjects: Mobility , Centrality , Strava Data
  • Language: English
  • Type: Conference proceedings
  • Identifier: http://hdl.handle.net/10210/400872 , uj:33478 , Citation: Moyo, T. & Musakwa, W. 2019. Ranking nodes in complex networks : a case study of the Gaubus.
  • Description: Abstract: Connecting points of interest through a well-planned, inter-connected network provides manifold benefits to commuters and service providers. In the South African context, traffic congestion has become of great concern. Given how the South Africa community is slowly developing towards the use of multi-modes of mobility, the Gautrain network can be used to promote the use of multi-modes of mobility, as the Gautrain has been identified as the backbone of mobility within the Gauteng province. Currently commuters have the option to board the Gaubus (a form of Bus Rapid Transit) at their origin points which will take them to the Gautrain station to board the Gautrain. The problem to be solved arises when a commuter wishes to traverse from any bus stop to the Gautrain station, currently he/she only has one option and if the bus network has a shutdown at any point in the network the commuter’s journey will not be possible. In solving this problem, we consider the problem of graph robustness (that is creating new alternative routes to increase node/bus stop connectivity). We initial use Strava data, to identify locations were cyclist prefer to cycle and at what time of day. In graph theory, the nodes with most spreading ability are called influential nodes. Identification of most influential nodes and ranking them based on their spreading ability is of vital importance. Closeness centrality and betweenness are one of the most commonly used methods to identify influential nodes in complex networks. Using the Gaubus network we identify the influential nodes/ bus stops, using the betweenness centrality measure. The results reveal the influential nodes with the highest connectivity as these have cross-connections in the network. Identification of the influential nodes presents an important implication for future planning, accessibility, and, more generally, quality of life.
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Spatio-temporal modelling & the new urban agenda in post-apartheid South Africa

- Mokoena, B.T., Moyo, T., Makoni, E.N., Musakwa, W.

  • Authors: Mokoena, B.T. , Moyo, T. , Makoni, E.N. , Musakwa, W.
  • Date: 2019
  • Subjects: Spatio Temporal Modelling , Integrated Urban Development Framework , Planning Support Systems
  • Language: English
  • Type: Conference proceedings
  • Identifier: http://hdl.handle.net/10210/400018 , uj:33366 , Citation: Mokoena, B.T. et al. 2019. Spatio-temporal modelling & the new urban agenda in post-apartheid South Africa.
  • Description: Abstract: This paper presents the potentialities of spatio-temporal modelling in transforming South Africa’s previously marginalised townships. Using the Katlehong township in Ekurhuleni as a case study, the paper argues that the hitherto marginalised townships can benefit from a localised implementation of smart-city concepts as articulated in the Integrated Urban Development Framework. Instead of viewing townships as spaces of perpetual despair and hopelessness, the paper appreciates these areas as having the potential to benefit from new smart innovative planning approaches that form part of the Fourth Industrial Revolution. So, the discussion identifies smart transportation modes such as bicycle-sharing, as well as Bus Rapid Transit Networks as critical in promoting mobility in and beyond townships, while contributing to spatial integration and transformation. Using geolocation data, the paper concludes that formerly marginalised townships such as Katlehong can and must form part of the emergent smart cities in South Africa.
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Status of geoinformatics education and training in Sub-Sahara Africa : initiatives taken and challenges

- Sumari, N.S., Shao, Z., Van Genderen, J.L., Musakwa, W., Ujoh, F., Washaya, P., Gumbo, T.

  • Authors: Sumari, N.S. , Shao, Z. , Van Genderen, J.L. , Musakwa, W. , Ujoh, F. , Washaya, P. , Gumbo, T.
  • Date: 2019
  • Subjects: Sub-Sahara Africa , Education , Training
  • Language: English
  • Type: Article
  • Identifier: http://hdl.handle.net/10210/400010 , uj:33365 , Citation: Sumari, N.S. et al. 2019. Status of geoinformatics education and training in Sub-Sahara Africa : initiatives taken and challenges.
  • Description: Abstract: It has been more than twenty-five years since the World Bank published its comprehensive report on “Guidelines for Education and Training in Environmental Information Systems in Sub-Saharan Africa: Some Key Issues”. Since this report was published, there have been considerable improvements in the region on implementing many of the actions proposed in that report relating to education, training and technology transfer. This paper presents an update on some of the activities that have taken place since the report was published and provides details on the current situation in the region. The paper shows how organizations such as the African Association on Remote Sensing of Environment (AARSE), the International Society of Photogrammetry and Remote Sensing (ISPRS), the European Association of Remote Sensing Companies (EARSC), the Group on Earth Observation (GEO), as well as several others have helped to increase the manpower resources in the region and strengthened the institutional capacity in the field of Geoinformatics, by means of capacity building, technology transfer, international cooperation and through the provision of internal African resources. After reviewing what has happened in the field of Geo-Informatics education and training, we focused on current initiatives taken and challenges in five Sub-Saharan countries namely, Ethiopia, Nigeria, South Africa, Tanzania and Zimbabwe. We reviewed GIS education and training in the private sector, government, information communications technology in higher education institutions, GIS application areas and challenges facing GIS education and training. The paper concludes that, change should involve education stakeholders such as students, teachers/instructors in all level of education. Sub-Saharan Africa countries should focus on improving the quality of the curriculum, strengthening international and regional cooperation by the means of exchange programmes to improve education and training in Geoinformatics.
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The potential of strava data to contribute in non-motorised transport (nmt) planning in Johannesburg

- Selala, M.K., Musakwa, W.

  • Authors: Selala, M.K. , Musakwa, W.
  • Date: 2016
  • Subjects: Non-motorised transport , Cycling , Crowd-sourced data , Strava , Origin , Destinations
  • Language: English
  • Type: Conference proceedings
  • Identifier: http://hdl.handle.net/10210/122358 , uj:20643 , Citation: Selala, M.K. & Musakwa, W. 2016. The potential of strava data to contribute in non-motorised transport (nmt) planning in Johannesburg.
  • Description: Abstract: Transportation is one of the most fundamental challenges of urban development in the modern world. Cities are currently moving towards sustainable transportation, which includes non-motorised transportation (NMT). The city of Johannesburg has a goal of becoming a smart city, with sustainable development and smart mobility. Encouraging the use of nonmotorised transportation and public transport has the potential of reducing the use of private motorised transport and therefor its negative consequences within the city of Johannesburg. There is limited research on cycling and how cyclists interact with cycling infrastructure within the city. The lack of such knowledge hinders proper planning for NMT. This research studies the ability of geolocation based services to provide such information which can be useful in planning for NMT. Strava Metro application is the example of such geolocation based services. The potential of this app to influence planning is investigated. According to the information acquired by Strava Metro, there are more cyclists in suburbs at the centre of Johannesburg and towards the north and to the east, and in Kibler Park at the south western part of the city. There are indications that the numbers of cycling activities recorded by Strava Metro are affected by the availability of gated communities, income levels, crime levels and the provision of infrastructure.
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The strategically located land index support system for human settlements land reform in South Africa

- Musakwa, W., Tshesane, M.R., Kangethe, M.

  • Authors: Musakwa, W. , Tshesane, M.R. , Kangethe, M.
  • Date: 2017
  • Subjects: GIS-MCDA , Land reform , Human settlements
  • Language: English
  • Type: Article
  • Identifier: http://hdl.handle.net/10210/216582 , uj:21524 , Citation: Musakwa, W., Tshesane, M.R. & Kangethe, M. 2017. The strategically located land index support system for human settlements land reform in South Africa.
  • Description: Abstract: Creating sustainable human settlements is fundamental in fostering spatial and socio-economic integration in South Africa. Policy makers are often faced with the problem of identifying strategically located land for human settlements land reform in South Africa. To date there is no tool or standard framework that assists the government to identify land that is strategically located for land reform. This study proposes the use of Geographic Information Systems (GIS), and Multi-Criteria Decision Making (MCDM) to develop a Strategically Located Land Index (SLLI) deployed in a web viewer to identify land that is smart for human settlements land reform. The study demonstrates that GIS,MCDMand the SLLI are invaluable tools in facilitating streamlined, coordinated, standardised and evidence-based decisions for human settlements land reform. However, there is need for capacity building in government departments responsible for land reform and development planning for the SLLI to be fully utilised.
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The use of social media in public transit systems: the case of the Gautrain, Gauteng province, South Africa: analysis and lessons learnt

- Musakwa, W.

Tweets and Facebook posts, the novelty techniques in the creation of origin-destination models

- Malema, H. K., Musakwa, W.

  • Authors: Malema, H. K. , Musakwa, W.
  • Date: 2016
  • Subjects: Geolocation based services , Big data , Social media , Pattern analysis , Network movements , Origin-Destination models , Kriging , Transportation planning
  • Language: English
  • Type: Conference proceedings
  • Identifier: http://hdl.handle.net/10210/122345 , uj:20641 , Citation: Malema, H. K. & Musakwa, W. 2016. Tweets and Facebook posts, the novelty techniques in the creation of origin-destination models.
  • Description: Abstract: Social media and big data have emerged to be a useful source of information that can be used for planning purposes, particularly transportation planning and trip-distribution studies. Cities in developing countries such as South Africa often struggle with out-dated, unreliable and cumbersome techniques such as traffic counts and household surveys to conduct origin and destination studies. The emergence of ubiquitous crowd sourced data, big data, social media and geolocation based services has shown huge potential in providing useful information for origin and destination studies. Perhaps such information can be utilised to determine the origin and destination of commuters using the Gautrain, a high-speed railway in Gauteng province South Africa. To date little is known about the origins and destinations of Gautrain commuters. Accordingly, this study assesses the viability of using geolocation-based services namely Facebook and Twitter in mapping out the network movements of Gautrain commuters. Explorative Spatial Data Analysis (ESDA), Echo-social and ArcGis software were used to extract social media data, i.e. tweets and Facebook posts as well as to visualize the concentration of Gautrain commuters. The results demonstrate that big data and geolocation based services have the significant potential to predict movement network patterns of commuters and this information can thus, be used to inform and improve transportation planning. Nevertheless use of crowd sourced data and big data has privacy concerns that still need to be addressed.
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