Exploring the interoperability of public transport systems for sustainable mobility in developing cities : lessons from Johannesburg Metropolitan City, South Africa
- Gumbo, Trynos, Moyo, Thembani
- Authors: Gumbo, Trynos , Moyo, Thembani
- Date: 2020
- Subjects: Geoweb 2.0 , Public transportation , Bus rapid transit system
- Language: English
- Type: Article
- Identifier: http://hdl.handle.net/10210/431557 , uj:37242 , Citation: Gumbo, T. & Moyo, T. 2020. Exploring the interoperability of public transport systems for sustainable mobility in developing cities : lessons from Johannesburg Metropolitan City, South Africa.
- Description: Abstract: There have been growing concerns with regards to the state public transportation systems, particularly in the cities of developing countries. Chief among these concerns has been the lack of well-coordinated, efficient, and reliable transportation systems. The city of Johannesburg, just like any other fast-growing municipality in developing and emerging economies, has not been spared with regards to incessant public transport challenges. Consequently, there have been collective efforts from both public and private stakeholders to invest immensely in both innovative rail and road transport systems in the past decade. This article sought to achieve twin objectives. First, the work identified the state of connectivity between the rapid rail transportation and rapid bus transit systems based on Geoweb 2.0 data. Second, the work visualized the level of connectivity between these two modes to develop and formulate policy frameworks in integrating public transit systems in cities of the developing world, learning from the metropolitan city of Johannesburg. A mixed-method approach consisting of spatial and quantitative aspects was used to examine the state of connectedness and the promotion of access and mobility between the two modes. The local Moran’s I index was used to compute node clusters within the public transport system. Results from the analysis demonstrated that both high-clusters and low-clusters exist in the public transportation network, which have a high degree of centrality. It was revealed that commuters navigate from these nodes/stops with relative ease due to the short walking radius. However, the work revealed that most rail networks and bus routes, as well as the stations and bus stops, are not connected and are not significant in the local Moran’s I index, thus, making it difficult for commuters to conveniently move from the Gautrain to the Rea Vaya bus. There are, therefore, gaps with regards to the sharing of infrastructure between the two public transport modes and systems.
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- Authors: Gumbo, Trynos , Moyo, Thembani
- Date: 2020
- Subjects: Geoweb 2.0 , Public transportation , Bus rapid transit system
- Language: English
- Type: Article
- Identifier: http://hdl.handle.net/10210/431557 , uj:37242 , Citation: Gumbo, T. & Moyo, T. 2020. Exploring the interoperability of public transport systems for sustainable mobility in developing cities : lessons from Johannesburg Metropolitan City, South Africa.
- Description: Abstract: There have been growing concerns with regards to the state public transportation systems, particularly in the cities of developing countries. Chief among these concerns has been the lack of well-coordinated, efficient, and reliable transportation systems. The city of Johannesburg, just like any other fast-growing municipality in developing and emerging economies, has not been spared with regards to incessant public transport challenges. Consequently, there have been collective efforts from both public and private stakeholders to invest immensely in both innovative rail and road transport systems in the past decade. This article sought to achieve twin objectives. First, the work identified the state of connectivity between the rapid rail transportation and rapid bus transit systems based on Geoweb 2.0 data. Second, the work visualized the level of connectivity between these two modes to develop and formulate policy frameworks in integrating public transit systems in cities of the developing world, learning from the metropolitan city of Johannesburg. A mixed-method approach consisting of spatial and quantitative aspects was used to examine the state of connectedness and the promotion of access and mobility between the two modes. The local Moran’s I index was used to compute node clusters within the public transport system. Results from the analysis demonstrated that both high-clusters and low-clusters exist in the public transportation network, which have a high degree of centrality. It was revealed that commuters navigate from these nodes/stops with relative ease due to the short walking radius. However, the work revealed that most rail networks and bus routes, as well as the stations and bus stops, are not connected and are not significant in the local Moran’s I index, thus, making it difficult for commuters to conveniently move from the Gautrain to the Rea Vaya bus. There are, therefore, gaps with regards to the sharing of infrastructure between the two public transport modes and systems.
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Mapping spatial locational trends of informal economic enterprises using mobile geographic information data in the city of in Harare, Zimbabwe
- Gumbo, Trynos, Geyer, Manie, Moyo, Inocent, Moyo, Thembani
- Authors: Gumbo, Trynos , Geyer, Manie , Moyo, Inocent , Moyo, Thembani
- Date: 2018
- Subjects: Mobile GIS , Spatial location , Informal economy
- Language: English
- Type: Article
- Identifier: http://hdl.handle.net/10210/280059 , uj:30087 , Citation: Gumbo, T., Geyer, M., Moyo, I. & Moyo, T. 2018. Mapping spatial locational trends of informal economic enterprises using mobile geographic information data in the city of in Harare, Zimbabwe. Data in Brief, 20:1692–1699. https://doi.org/10.1016/j.dib.2018.09.037
- Description: Abstract: Spatial planning for informal economic enterprises globally and cities of the developing world such Harare in particular is made difficult by the lack of appropriate data. In most cases, informal economic enterprises are discussed descriptively and statistically, leaving out their spatial characteristics. This makes the orderly planning for the enterprises very difficult if not impossible, espe- cially given that the informal economy dominates the economies of most developing countries. This article presents geographic information data that was collected by means of mobile geo- graphic positioning systems over time. In the absence of any other spatial datasets in the City of Harare, this unique data is handy in revealing spatial locational trends of informal economic enter- prises and the preferred locational behaviour of informal economic entrepreneurs in the city. Spatial planning for informal economic enterprises globally and cities of the developing world such Harare in particular is made difficult by the lack of appropriate data. In most cases, informal economic enterprises are discussed descriptively and statistically, leaving out their spatial characteristics. This makes the orderly planning for the enterprises very difficult if not impossible, espe- cially given that the informal economy dominates the economies of most developing countries. This article presents geographic information data that was collected by means of mobile geo- graphic positioning systems over time. In the absence of any other spatial datasets in the City of Harare, this unique data is handy in revealing spatial locational trends of informal economic enter- prises and the preferred locational behaviour of informal economic entrepreneurs in the city.
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- Authors: Gumbo, Trynos , Geyer, Manie , Moyo, Inocent , Moyo, Thembani
- Date: 2018
- Subjects: Mobile GIS , Spatial location , Informal economy
- Language: English
- Type: Article
- Identifier: http://hdl.handle.net/10210/280059 , uj:30087 , Citation: Gumbo, T., Geyer, M., Moyo, I. & Moyo, T. 2018. Mapping spatial locational trends of informal economic enterprises using mobile geographic information data in the city of in Harare, Zimbabwe. Data in Brief, 20:1692–1699. https://doi.org/10.1016/j.dib.2018.09.037
- Description: Abstract: Spatial planning for informal economic enterprises globally and cities of the developing world such Harare in particular is made difficult by the lack of appropriate data. In most cases, informal economic enterprises are discussed descriptively and statistically, leaving out their spatial characteristics. This makes the orderly planning for the enterprises very difficult if not impossible, espe- cially given that the informal economy dominates the economies of most developing countries. This article presents geographic information data that was collected by means of mobile geo- graphic positioning systems over time. In the absence of any other spatial datasets in the City of Harare, this unique data is handy in revealing spatial locational trends of informal economic enter- prises and the preferred locational behaviour of informal economic entrepreneurs in the city. Spatial planning for informal economic enterprises globally and cities of the developing world such Harare in particular is made difficult by the lack of appropriate data. In most cases, informal economic enterprises are discussed descriptively and statistically, leaving out their spatial characteristics. This makes the orderly planning for the enterprises very difficult if not impossible, espe- cially given that the informal economy dominates the economies of most developing countries. This article presents geographic information data that was collected by means of mobile geo- graphic positioning systems over time. In the absence of any other spatial datasets in the City of Harare, this unique data is handy in revealing spatial locational trends of informal economic enter- prises and the preferred locational behaviour of informal economic entrepreneurs in the city.
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The Politics of Digitised Boundaries in Vhembe District Municipality of South Africa
- Ingwani, Emaculate, Musetha, Rendani, Gumbo, Trynos, Moyo, Thembani
- Authors: Ingwani, Emaculate , Musetha, Rendani , Gumbo, Trynos , Moyo, Thembani
- Date: 2019
- Subjects: Digitized boundaries , Municipality , Protest
- Language: English
- Type: Conference proceedings
- Identifier: http://hdl.handle.net/10210/400813 , uj:33467 , Citation: Ingwani, E. 2019. The Politics of Digitised Boundaries in Vhembe District Municipality of South Africa.
- Description: Abstract: The advent of the fourth industrial revolution witnessed the introduction of digitised boundaries in local municipalities of South Africa. Digitised boundaries are simply imagined lines between spaces. In many rural local municipalities of South Africa, digitised boundaries define territorial bounds as well as people’s identities within the bounded spaces. Several villages in Vhembe District Municipality experienced spatial changes as a result of the introduction of digitised boundaries as recommended by the National Demarcation Board. The introduction of these digitised boundaries engendered widespread protests as community residents raised their dissatisfaction with the new development. In their minds, the ‘new’ Boundaries (digitised) undermined their social base through exclusion from access to services from ‘their’ local municipalities, and thus infringed their rights to belonging. The aim of this paper unravels the politics of digitised boundaries using a case study of Vuwani Village in Vhembe District Municipality of South Africa. The paper (1) highlights the perceptions of community residents of digitised boundaries; (2) characterises the impact(s) of digitised boundaries on community residents; (3) proposes sustainable strategies for managing complexities from digitisation of boundaries in villages from below. This research adopted the mixed methods approach that enables layering methods and methodologies in data collection and analysis. A..
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- Authors: Ingwani, Emaculate , Musetha, Rendani , Gumbo, Trynos , Moyo, Thembani
- Date: 2019
- Subjects: Digitized boundaries , Municipality , Protest
- Language: English
- Type: Conference proceedings
- Identifier: http://hdl.handle.net/10210/400813 , uj:33467 , Citation: Ingwani, E. 2019. The Politics of Digitised Boundaries in Vhembe District Municipality of South Africa.
- Description: Abstract: The advent of the fourth industrial revolution witnessed the introduction of digitised boundaries in local municipalities of South Africa. Digitised boundaries are simply imagined lines between spaces. In many rural local municipalities of South Africa, digitised boundaries define territorial bounds as well as people’s identities within the bounded spaces. Several villages in Vhembe District Municipality experienced spatial changes as a result of the introduction of digitised boundaries as recommended by the National Demarcation Board. The introduction of these digitised boundaries engendered widespread protests as community residents raised their dissatisfaction with the new development. In their minds, the ‘new’ Boundaries (digitised) undermined their social base through exclusion from access to services from ‘their’ local municipalities, and thus infringed their rights to belonging. The aim of this paper unravels the politics of digitised boundaries using a case study of Vuwani Village in Vhembe District Municipality of South Africa. The paper (1) highlights the perceptions of community residents of digitised boundaries; (2) characterises the impact(s) of digitised boundaries on community residents; (3) proposes sustainable strategies for managing complexities from digitisation of boundaries in villages from below. This research adopted the mixed methods approach that enables layering methods and methodologies in data collection and analysis. A..
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The potential of geo-location based services to delineate the origin and destination of commuters of Gautrain public transit operations
- Authors: Moyo, Thembani
- Date: 2016
- Subjects: Gautrain (South Africa) , Geospatial data - Data processing , Geographic information systems , Maps - Computer programs , Urban transportation - South Africa - Gauteng
- Language: English
- Type: Masters (Thesis)
- Identifier: http://hdl.handle.net/10210/233116 , uj:23791
- Description: M.Tech. (Operations Management) , Abstract: Living in the current century, conducting interviews and carrying out field surveys is no longer enough. In an era, where everything has become smart, from smartphones to smart cities, a demand for smart analysis techniques has risen. Currently, knowledge gaps still exist in travel demand management (Giaimo et al,. 2010), hence a bridge is still needed to link what is available (big data) and what could be done (planning). “Advantages of applying smart technology to collect analyse data leads to flexible decision making as opposed to traditional cumbersome techniques” (Mokoena & Musakwa, 2016 p78-79). As no one model can be used as a one glove fit all situations, a need to continuously develop and renew planning models is essential. This research reports on the spatial distribution of the Gautrain commuters, based on spatial predictions of the location of posts made on web 2.0 between the periods of January 2015 to June 2016. The findings from the content analysis highlight which train stations attract the most commuters and also possible locations for the expansion for Gautrain. In the study, the focal statistics presented the most visually accurate means of identifying clusters within a set radius. A hot spot belt was identified in areas near existing stations such as Park Station; Sandton; and OR Tambo, this which concurs with the commuter tag data from the Gautrain. Also, new hot spots were identified in areas which are currently not serviced by the Gautrain such as Soweto and Randburg in Johannesburg; Germiston and Alberton in East Rand; Montana Park in Pretoria. Similarly through the results from kriging, hot and cold spots are easily identifiable. Locations with hot spots should be further invested into by improving connectivity levels, as these are clearly points of interests for the commuters. Future studies could run the model incorporating other control factors to determine variations using a time-series analysis, to identify any variations in hot and cold spots over time, thus areas which would present a constant hot spot would clearly be worth investing into. In conclusion the research presents a set of prediction tools to generate maps from web 2.0 posts to visualise and demarcate the various nodes of the Gautrain. These predications have proven efficient for a big data however, a drawback also arises, as the standard error becomes greater if small amounts of records are used.
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- Authors: Moyo, Thembani
- Date: 2016
- Subjects: Gautrain (South Africa) , Geospatial data - Data processing , Geographic information systems , Maps - Computer programs , Urban transportation - South Africa - Gauteng
- Language: English
- Type: Masters (Thesis)
- Identifier: http://hdl.handle.net/10210/233116 , uj:23791
- Description: M.Tech. (Operations Management) , Abstract: Living in the current century, conducting interviews and carrying out field surveys is no longer enough. In an era, where everything has become smart, from smartphones to smart cities, a demand for smart analysis techniques has risen. Currently, knowledge gaps still exist in travel demand management (Giaimo et al,. 2010), hence a bridge is still needed to link what is available (big data) and what could be done (planning). “Advantages of applying smart technology to collect analyse data leads to flexible decision making as opposed to traditional cumbersome techniques” (Mokoena & Musakwa, 2016 p78-79). As no one model can be used as a one glove fit all situations, a need to continuously develop and renew planning models is essential. This research reports on the spatial distribution of the Gautrain commuters, based on spatial predictions of the location of posts made on web 2.0 between the periods of January 2015 to June 2016. The findings from the content analysis highlight which train stations attract the most commuters and also possible locations for the expansion for Gautrain. In the study, the focal statistics presented the most visually accurate means of identifying clusters within a set radius. A hot spot belt was identified in areas near existing stations such as Park Station; Sandton; and OR Tambo, this which concurs with the commuter tag data from the Gautrain. Also, new hot spots were identified in areas which are currently not serviced by the Gautrain such as Soweto and Randburg in Johannesburg; Germiston and Alberton in East Rand; Montana Park in Pretoria. Similarly through the results from kriging, hot and cold spots are easily identifiable. Locations with hot spots should be further invested into by improving connectivity levels, as these are clearly points of interests for the commuters. Future studies could run the model incorporating other control factors to determine variations using a time-series analysis, to identify any variations in hot and cold spots over time, thus areas which would present a constant hot spot would clearly be worth investing into. In conclusion the research presents a set of prediction tools to generate maps from web 2.0 posts to visualise and demarcate the various nodes of the Gautrain. These predications have proven efficient for a big data however, a drawback also arises, as the standard error becomes greater if small amounts of records are used.
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The potential of social media to demarcate the catchment of commuters of the Gautrain public transit system
- Moyo, Thembani, Musakwa, Walter
- Authors: Moyo, Thembani , Musakwa, Walter
- Date: 2017
- Subjects: Web 2.0 , Gautrain (South Africa) , Commuters , Social media
- Language: English
- Type: Conference proceedings
- Identifier: http://hdl.handle.net/10210/218279 , uj:21754 , Citation: Moyo, T. & Musakwa, W. 2017. The potential of social media to demarcate the catchment of commuters of the Gautrain public transit system.
- Description: Abstract: The paper systematically analyses the phenomena of being smart in light of the growth of information and communications technology being incorporation into urban development. In a setting where technological advancements are taking hold of every aspect of peoples’ lives this paper explores the potential of geographical location data derived from social media platforms can be used to demarcate the catchment area of the Gautrain. The study demonstrates how social media data can be used to analyse the variations in the catchment area of the various nodes with the Gautrain system, with the use of word counts and linguistic measures to interpret posts made on web 2.0. Consequently the users’ opinions about the Gautrain were used to interprete the variations in volumes of commuters over a 6 month period. The results of the study will assist in identifying areas of potential expansion and areas in need of intervention, hence highlighting points of interest within Gauteng catchment area.
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- Authors: Moyo, Thembani , Musakwa, Walter
- Date: 2017
- Subjects: Web 2.0 , Gautrain (South Africa) , Commuters , Social media
- Language: English
- Type: Conference proceedings
- Identifier: http://hdl.handle.net/10210/218279 , uj:21754 , Citation: Moyo, T. & Musakwa, W. 2017. The potential of social media to demarcate the catchment of commuters of the Gautrain public transit system.
- Description: Abstract: The paper systematically analyses the phenomena of being smart in light of the growth of information and communications technology being incorporation into urban development. In a setting where technological advancements are taking hold of every aspect of peoples’ lives this paper explores the potential of geographical location data derived from social media platforms can be used to demarcate the catchment area of the Gautrain. The study demonstrates how social media data can be used to analyse the variations in the catchment area of the various nodes with the Gautrain system, with the use of word counts and linguistic measures to interpret posts made on web 2.0. Consequently the users’ opinions about the Gautrain were used to interprete the variations in volumes of commuters over a 6 month period. The results of the study will assist in identifying areas of potential expansion and areas in need of intervention, hence highlighting points of interest within Gauteng catchment area.
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Using crowdsourced data (Twitter & Facebook) to delineate the origin and destination of commuters of the Gautrain public transit system in South Africa
- Moyo, Thembani, Musakwa, Walter
- Authors: Moyo, Thembani , Musakwa, Walter
- Date: 2016
- Subjects: Origin and destination , Geo-location data , Commuters , Kriging , Density
- Language: English
- Type: Conference proceedings
- Identifier: http://hdl.handle.net/10210/94035 , uj:20422 , Citation: Moyo, T. & Musakwa, W. 2016. Using crowdsourced data (Twitter & Facebook) to delineate the origin and destination of commuters of the Gautrain public transit system in South Africa.
- Description: Abstract: The study of commuters’ origins and destinations (O_D) promises to assist transportation planners with prediction models to inform decision making. Conventionally O_D surveys are undertaken through travel surveys and traffic counts, however data collection for these surveys has historically proven to be time consuming and having a strain on human resources, thus a need for an alternative data source arises. This study combines the use social media data and geographic information systems in the creation of a model for origin and destination surveys. The model tests the potential of using big data from Echo echo software which contains Twitter and Facebook data obtained from social media users in Gauteng. This data contains geolocation and it is used to determine origin and destination as well as concentration levels of Gautrain commuters. A krigging analysis was performed on the data to determine the O-D and concentration levels of Gautrain users. The results reveal the concentration of Gautrain commuters at various points of interest that is where they work, live or socialise. The results from the study highlight which nodes attract the most commuters and also possible locations for the expansion for Gautrain. Lastly, the study also highlights some weakness of crowdsourced data for informing transportation planning. (208)
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- Authors: Moyo, Thembani , Musakwa, Walter
- Date: 2016
- Subjects: Origin and destination , Geo-location data , Commuters , Kriging , Density
- Language: English
- Type: Conference proceedings
- Identifier: http://hdl.handle.net/10210/94035 , uj:20422 , Citation: Moyo, T. & Musakwa, W. 2016. Using crowdsourced data (Twitter & Facebook) to delineate the origin and destination of commuters of the Gautrain public transit system in South Africa.
- Description: Abstract: The study of commuters’ origins and destinations (O_D) promises to assist transportation planners with prediction models to inform decision making. Conventionally O_D surveys are undertaken through travel surveys and traffic counts, however data collection for these surveys has historically proven to be time consuming and having a strain on human resources, thus a need for an alternative data source arises. This study combines the use social media data and geographic information systems in the creation of a model for origin and destination surveys. The model tests the potential of using big data from Echo echo software which contains Twitter and Facebook data obtained from social media users in Gauteng. This data contains geolocation and it is used to determine origin and destination as well as concentration levels of Gautrain commuters. A krigging analysis was performed on the data to determine the O-D and concentration levels of Gautrain users. The results reveal the concentration of Gautrain commuters at various points of interest that is where they work, live or socialise. The results from the study highlight which nodes attract the most commuters and also possible locations for the expansion for Gautrain. Lastly, the study also highlights some weakness of crowdsourced data for informing transportation planning. (208)
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