Open AccessGraph Analysis Study of a City Bus Transit Network
Author(s) -
Atiqur Rahman,
Pritheega Magalingam,
Norshaliza Kamaruddin,
Ganthan Narayana Samy,
Nurazean Maarop,
Sundaresan Perumal
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1551/1/012004
Subject(s) - centrality , computer science , graph , network analysis , transit (satellite) , bus network , transport engineering , power graph analysis , simulation , statistics , public transport , mathematics , engineering , theoretical computer science , control bus , system bus , computer hardware , electrical engineering
Graph analysis approach was used to analyze a city bus network. The bus trip data were segregated into 4 smaller bus datasets (weekday-peak-hour, weekday-off-peak-hour, weekend-peak-hour, and weekend-off-peak-hour) with the main goal of studying and identifying the differences between peak hours and off-peak hours, as well as between weekdays and weekends. These differences are identified in terms of global characteristics and network evolution distinctions. Based on the analysis of the simplified network, we identified the relative shape of the networks and the centrality attributes. A comparative analysis is performed between the networks at different times to understand the impact of peak against off-peak and weekday against weekends. Significant differences are found in the analysis. In addition to the above, highly important routes and stops were also identified, where optimization initiative is planned for a more efficient bus transport network. The findings can serve as a starting point for future route optimization of the similar network.