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Dynamic Behavior Analysis of Railway Passengers

Dynamic Behavior Analysis of Railway Passengers

Myneni Madhu Bala, Venkata Krishnaiah Ravilla, Kamakshi Prasad V, Akhil Dandamudi
Copyright: © 2018 |Pages: 26
ISBN13: 9781522531760|ISBN10: 1522531769|EISBN13: 9781522531777
DOI: 10.4018/978-1-5225-3176-0.ch007
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MLA

Bala, Myneni Madhu, et al. "Dynamic Behavior Analysis of Railway Passengers." Innovative Applications of Big Data in the Railway Industry, edited by Shruti Kohli, et al., IGI Global, 2018, pp. 157-182. https://doi.org/10.4018/978-1-5225-3176-0.ch007

APA

Bala, M. M., Ravilla, V. K., Prasad V, K., & Dandamudi, A. (2018). Dynamic Behavior Analysis of Railway Passengers. In S. Kohli, A. Kumar, J. Easton, & C. Roberts (Eds.), Innovative Applications of Big Data in the Railway Industry (pp. 157-182). IGI Global. https://doi.org/10.4018/978-1-5225-3176-0.ch007

Chicago

Bala, Myneni Madhu, et al. "Dynamic Behavior Analysis of Railway Passengers." In Innovative Applications of Big Data in the Railway Industry, edited by Shruti Kohli, et al., 157-182. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3176-0.ch007

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Abstract

This chapter discusses mainly on dynamic behavior of railway passengers by using twitter data during regular and emergency situations. Social network data is providing dynamic and realistic data in various fields. As per the current chapter theme, if the twitter data of railway field is considered then it can be used for enhancement of railway services. Using this data, a comprehensive framework for modeling passenger tweets data which incorporates passenger opinions towards facilities provided by railways are discussed. The major issues elaborated regarding dynamic data extraction, preparation of twitter text content and text processing for finding sentiment levels is presented by two case studies; which are sentiment analysis on passenger's opinions about quality of railway services and identification of passenger travel demands using geotagged twitter data. The sentiment analysis ascertains passenger opinions towards facilities provided by railways either positive or negative based on their journey experiences.

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