Association Analysis for Bus Passenger Journeys Based on Multi-source Data in Shenzhen

- - posted in project

To adopt effective bus improvement strategies, administrators have to know what influence the bus service most. Association analysis is useful for discovering interesting relationships among different factors. Here we use bus passenger journeys per stop per line in different TAZs (traffic analysis zones) to represent the bus service quality. Together with other factors, like population density, availability of metro line and built environment, decision trees are built to analyze the relationship between bus service quality and those factors. (see the demo)