Ranking nodes in complex networks : a case study of the Gaubus
- 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.
- Full Text:
- 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.
- Full Text:
A novel weighted vehicular network clustering scheme
- Chyne, Phidahunlang, Kandar, Debdatta, Paul, Babu Sena
- Authors: Chyne, Phidahunlang , Kandar, Debdatta , Paul, Babu Sena
- Date: 2018
- Subjects: VANET , Cluster , Mobility
- Language: English
- Type: Conference proceeding
- Identifier: http://hdl.handle.net/10210/290510 , uj:31539 , Citation: Chyne, P., Kandar, D. & Paul, B.S. 2018. A novel weighted vehicular network clustering scheme.
- Description: Abstract: Please refer to full text to view abstract.
- Full Text:
- Authors: Chyne, Phidahunlang , Kandar, Debdatta , Paul, Babu Sena
- Date: 2018
- Subjects: VANET , Cluster , Mobility
- Language: English
- Type: Conference proceeding
- Identifier: http://hdl.handle.net/10210/290510 , uj:31539 , Citation: Chyne, P., Kandar, D. & Paul, B.S. 2018. A novel weighted vehicular network clustering scheme.
- Description: Abstract: Please refer to full text to view abstract.
- Full Text:
Exploring the potential of crowd sourced data to map commuter points of interest : a case study of Johannesburg
- 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.
- Full Text:
- 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.
- Full Text:
Exploring the potential of crowd sourced data to map commuter points of interest : a case study of Johannesburg
- 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.
- Full Text:
- 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.
- Full Text:
Innovative initiatives usage to improve efficiency in the City of Johannesburg Public Transportation
- Risimati, Brightnes, Gumbo, Trynos, Chakwizira, James
- Authors: Risimati, Brightnes , Gumbo, Trynos , Chakwizira, James
- Date: 2021
- Subjects: Mobility , Corridors , Public transport
- Language: English
- Type: Article
- Identifier: http://hdl.handle.net/10210/488158 , uj:44463 , Citation: Risimati, B., Gumbo, T. & Chakwizira, J. 2021. Innovative initiatives usage to improve efficiency in the City of Johannesburg Public Transportation.
- Description: Abstract: Past spatial planning practices have left developing cities such as the City of Johannesburg with sprawling low-density areas of settlement, lacking viable public transport systems. The majority of marginalized citizens in South Africa are still living on the fringes of the cities, commuting daily, often at considerable cost, long distances to access work and economic opportunities. As such, it is very critical in developing cities to trace the existing spatial patterns, economic distribution, and the envisaged mobility innovations. Thus, the aim of the paper is to explore innovative initiatives to meet the envisioned mobility network through the Spatial Development Framework, 2040 and proposed corridors of Freedoms as mobility spines from a high-level perspective within the City of Johannesburg. A mixed-method approach was used which consisted of an exploratory research design that involves an empirical enquiry using spatial and qualitative methods of data. The results reveal that the City of Johannesburg has identified key public transport corridors, consolidating growth and development opportunities around existing and future public transport nodes. The location and concentration of jobs opportunities does not match that of where people live. This job-housing mismatch significantly contributes to inequality in the city as for many residents’ access to economic opportunities is stifled by costly and distant commuting. There are also two major spatial discontinuities in the city structure that are barriers to opportunity. In interpreting the current city structure morphology, the city displays a unique structure of inverted polycentricity, inherited largely form its complex history. In conclusion, the envisioned mobility networks of the city have the potential to link citizens to mixed-use development nodes with high density accommodation supported by office buildings, retail development and opportunities for education and recreation. This will give rise to a people-centred city, where communities’ needs, their safety, comfort, and economic well-being are placed at the core of planning and delivery processes.
- Full Text:
Innovative initiatives usage to improve efficiency in the City of Johannesburg Public Transportation
- Authors: Risimati, Brightnes , Gumbo, Trynos , Chakwizira, James
- Date: 2021
- Subjects: Mobility , Corridors , Public transport
- Language: English
- Type: Article
- Identifier: http://hdl.handle.net/10210/488158 , uj:44463 , Citation: Risimati, B., Gumbo, T. & Chakwizira, J. 2021. Innovative initiatives usage to improve efficiency in the City of Johannesburg Public Transportation.
- Description: Abstract: Past spatial planning practices have left developing cities such as the City of Johannesburg with sprawling low-density areas of settlement, lacking viable public transport systems. The majority of marginalized citizens in South Africa are still living on the fringes of the cities, commuting daily, often at considerable cost, long distances to access work and economic opportunities. As such, it is very critical in developing cities to trace the existing spatial patterns, economic distribution, and the envisaged mobility innovations. Thus, the aim of the paper is to explore innovative initiatives to meet the envisioned mobility network through the Spatial Development Framework, 2040 and proposed corridors of Freedoms as mobility spines from a high-level perspective within the City of Johannesburg. A mixed-method approach was used which consisted of an exploratory research design that involves an empirical enquiry using spatial and qualitative methods of data. The results reveal that the City of Johannesburg has identified key public transport corridors, consolidating growth and development opportunities around existing and future public transport nodes. The location and concentration of jobs opportunities does not match that of where people live. This job-housing mismatch significantly contributes to inequality in the city as for many residents’ access to economic opportunities is stifled by costly and distant commuting. There are also two major spatial discontinuities in the city structure that are barriers to opportunity. In interpreting the current city structure morphology, the city displays a unique structure of inverted polycentricity, inherited largely form its complex history. In conclusion, the envisioned mobility networks of the city have the potential to link citizens to mixed-use development nodes with high density accommodation supported by office buildings, retail development and opportunities for education and recreation. This will give rise to a people-centred city, where communities’ needs, their safety, comfort, and economic well-being are placed at the core of planning and delivery processes.
- Full Text:
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