Listen to the people! comparing perceived and documented disruptions in public transportation, through quantitative quality of experience, the case study of NYC

Gabriela Gongora Svartzman; Jose E.Ramirez Marquez

doi:10.1109/SMC.2019.8914161

Listen to the people! comparing perceived and documented disruptions in public transportation, through quantitative quality of experience, the case study of NYC

Gabriela Gongora Svartzman
, Jose E.Ramirez Marquez

Stevens Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Public transportation systems are core infrastructures to smart cities and are expected to perform on a daily basis and in a reliable manner. However, such systems can be affected by external and internal events that manifest as delays. There are two sources customers can consult, which will impact their decision rewarding commuting times; either the official (provided by the transportation agency) or the reported by other passengers. It is debated whether the first approach is more accurate than the latter. This work compares both alternatives, using Natural Language Processing techniques and visual analytics to determine the delays on trains and evaluate their resilience process. For this purpose the impact of a massive snowstorm in November, 2018 to New York's Metro North Railroad system was used as a case study.

Original language	English
Title of host publication	2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
Pages	947-952
Number of pages	6
ISBN (Electronic)	9781728145693
DOIs	https://doi.org/10.1109/SMC.2019.8914161
State	Published - Oct 2019
Event	2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019 - Bari, Italy Duration: 6 Oct 2019 → 9 Oct 2019

Publication series

Name	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume	2019-October
ISSN (Print)	1062-922X

Conference

Conference	2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
Country/Territory	Italy
City	Bari
Period	6/10/19 → 9/10/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Access to Document

10.1109/SMC.2019.8914161

Cite this

Svartzman, G. G., & Marquez, J. E. R. (2019). Listen to the people! comparing perceived and documented disruptions in public transportation, through quantitative quality of experience, the case study of NYC. In 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019 (pp. 947-952). Article 8914161 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; Vol. 2019-October). https://doi.org/10.1109/SMC.2019.8914161

Svartzman, Gabriela Gongora ; Marquez, Jose E.Ramirez. / Listen to the people! comparing perceived and documented disruptions in public transportation, through quantitative quality of experience, the case study of NYC. 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019. 2019. pp. 947-952 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).

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abstract = "Public transportation systems are core infrastructures to smart cities and are expected to perform on a daily basis and in a reliable manner. However, such systems can be affected by external and internal events that manifest as delays. There are two sources customers can consult, which will impact their decision rewarding commuting times; either the official (provided by the transportation agency) or the reported by other passengers. It is debated whether the first approach is more accurate than the latter. This work compares both alternatives, using Natural Language Processing techniques and visual analytics to determine the delays on trains and evaluate their resilience process. For this purpose the impact of a massive snowstorm in November, 2018 to New York's Metro North Railroad system was used as a case study.",

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Svartzman, GG & Marquez, JER 2019, Listen to the people! comparing perceived and documented disruptions in public transportation, through quantitative quality of experience, the case study of NYC. in 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019., 8914161, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, vol. 2019-October, pp. 947-952, 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019, Bari, Italy, 6/10/19. https://doi.org/10.1109/SMC.2019.8914161

Listen to the people! comparing perceived and documented disruptions in public transportation, through quantitative quality of experience, the case study of NYC. / Svartzman, Gabriela Gongora; Marquez, Jose E.Ramirez.
2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019. 2019. p. 947-952 8914161 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; Vol. 2019-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Public transportation systems are core infrastructures to smart cities and are expected to perform on a daily basis and in a reliable manner. However, such systems can be affected by external and internal events that manifest as delays. There are two sources customers can consult, which will impact their decision rewarding commuting times; either the official (provided by the transportation agency) or the reported by other passengers. It is debated whether the first approach is more accurate than the latter. This work compares both alternatives, using Natural Language Processing techniques and visual analytics to determine the delays on trains and evaluate their resilience process. For this purpose the impact of a massive snowstorm in November, 2018 to New York's Metro North Railroad system was used as a case study.

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Svartzman GG, Marquez JER. Listen to the people! comparing perceived and documented disruptions in public transportation, through quantitative quality of experience, the case study of NYC. In 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019. 2019. p. 947-952. 8914161. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). doi: 10.1109/SMC.2019.8914161

Listen to the people! comparing perceived and documented disruptions in public transportation, through quantitative quality of experience, the case study of NYC

Abstract

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UN SDGs

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