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International Conference on Smart Computing and Communication

SmartCom 2017: Smart Computing and Communication pp 11–18Cite as

Inferring Travel Purposes for Transit Smart Card Data Using

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10699))

Abstract

Understanding travel purposes is crucial for urban transportation planning and resource allocation. Conventionally, travel purposes are obtained from household travel survey, however, household travel survey is usually conducted every 5–10 years and only has 1–2% sampling size over the whole urban dwellers. Therefore, the information on travel purposes is very limited and usually biased which cause mismatch in urban and transportation planning. Meanwhile, many cities have accumulated a large amount of transit data, such as those from transit smart cards. Such data contains many individual traveling records, but has not been included to generate travel survey data because of lacking the information of travel purposes. To make fully use the data and to generate more comprehensive travel data, this study attempted to infer travel purposes for smart card data by a naïve Bayes probabilistic model. Experimental results demonstrated that proposed method could infer commuting activities with the accuracy of more than 95%, while the accuracy of predicting other activities was about 60%. This is a promising approach to integrated big data into transportation work routines.

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Author information

Authors and Affiliations

  1. Shenzhen Key Laboratory of Spatial Information Smart Sensing and Services, Shenzhen, China

    Zhenzhen Liu, Qing-Quan Li, Jiacheng Xiong & Shuiquan Li

  2. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

    Zhenzhen Liu & Shuiquan Li

  3. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

    Yan Zhuang

Authors
  1. Zhenzhen Liu
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  2. Qing-Quan Li
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  3. Yan Zhuang
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  4. Jiacheng Xiong
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  5. Shuiquan Li
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Corresponding author

Correspondence to Yan Zhuang .

Editor information

Editors and Affiliations

  1. Columbia University, New York, New York, USA

    Meikang Qiu

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Liu, Z., Li, QQ., Zhuang, Y., Xiong, J., Li, S. (2018). Inferring Travel Purposes for Transit Smart Card Data Using. In: Qiu, M. (eds) Smart Computing and Communication. SmartCom 2017. Lecture Notes in Computer Science(), vol 10699. Springer, Cham. https://doi.org/10.1007/978-3-319-73830-7_2

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  • DOI: https://doi.org/10.1007/978-3-319-73830-7_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73829-1

  • Online ISBN: 978-3-319-73830-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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