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Discovering High Demanding Bus Routes Using Farecard Data
Conference paper

Discovering High Demanding Bus Routes Using Farecard Data

Hongzhi Yang, Chieh-Feng Chiang and Chen L.P. Arbee
Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019, pp.3832-3837
12/2019

Abstract

big data bus routing human mobility Urban computing Artificial Intelligence Computer Networks and Communications Information Systems Information Systems and Management
Having an effective public transport system is one of the most important factors to improve the quality of urban residents' life and to bring a sustainable development in urban areas. In this paper, we detect high demanding region pairs with inconvenient bus route design, such as taking circuitous routes or having too many stops, etc., to improve the utilization efficiency of public transportation services, according to people's real demands. The detected results consist of 1) region pairs with significant bus route design problems, and 2) the linking structure as well as the correlation among these region pairs. We compare these results to some existing and future urban planning, such as MRT lines, and study whether this planning reduces the current problems.

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