2020/01/06 by Abbas Masoumzadeh, Masoumzadeh, Abbas, Tilemachos Pechlivanoglou +1
Computer Science · Physics and Astronomy · Social Sciences · #Combinatorics (math.CO) #Complex Network Analysis Techniques #Data Management and Algorithms #Data Visualization and Analytics #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Human Mobility and Location-Based Analysis #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI) #Transportation Planning and Optimization
paper · pdf · doi:10.48550/arxiv.2001.01838
openalex publication_date 2020/01/06 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28
A comprehensive data analysis system is implemented for the extraction of\ninformation and comparison of North American public transport systems. The\nsystem is based on network representations of the transport systems and makes\nuse of a span of metrics and algorithms from the established properties in\ngraph theory to complicated domain specific measurements. Due to nature of big\ndata systems and the requirement of scalability, many heuristic optimizations\nand approximations have been considered in the system. Integration with other\nsources of data specially population density maps is also executed in the\nsystem. Formal evaluations are done on subcomponents of the system to make sure\nthe approximations have reasonable precision. Results on comparison of four\ncities, San Francisco, Boston, Toronto and Los Angeles, approves that the big\ndata approach to comparison of public transit systems can successfully reveal\nthe underlying similarities and differences.\n