Commuting time variations and reliability of subway systems in case of disruptions. The case study of New York city

Gabriela Gongora Svartzman; Jose E. Ramírez-Márquez

doi:10.1201/9781315210469-436

Commuting time variations and reliability of subway systems in case of disruptions. The case study of New York city

Gabriela Gongora Svartzman
, Jose E. Ramírez-Márquez

Stevens Institute of Technology

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

Abstract

Subway systems play an essential role in big cities, such as New York City, where more than half of its population relays on public transportation. Commuting times for riders can be altered by small delays such as dwell times, up to massive events (e.g. hurricanes, flooding). This work proposes a micro-event insight into commuting time variations through Discrete Event Simulation. For validation purposes New York City, and in particular line 7 of the subway system is used as a case study. The simulation can be adjusted to other subway systems and can be expanded to include specific type of disruptions. The results, from a general disruption, shows great changes in commuting times, practically exponential. Capacity of trains should be included in future work and more data if it becomes available.

Original language	English
Title of host publication	Safety and Reliability – Theory and Applications - Proceedings of the 27th European Safety and Reliability Conference, ESREL 2017
Editors	Marko Cepin, Radim Briš
Pages	3463-3470
Number of pages	8
DOIs	https://doi.org/10.1201/9781315210469-436
State	Published - 2017
Event	27th European Safety and Reliability Conference, ESREL 2017 - Portorož, Slovenia Duration: 18 Jun 2017 → 22 Jun 2017

Publication series

Name	Safety and Reliability - Theory and Applications - Proceedings of the 27th European Safety and Reliability Conference, ESREL 2017

Conference

Conference	27th European Safety and Reliability Conference, ESREL 2017
Country/Territory	Slovenia
City	Portorož
Period	18/06/17 → 22/06/17

UN SDGs

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

SDG 11 Sustainable Cities and Communities

Access to Document

10.1201/9781315210469-436

Cite this

Svartzman, G. G., & Ramírez-Márquez, J. E. (2017). Commuting time variations and reliability of subway systems in case of disruptions. The case study of New York city. In M. Cepin, & R. Briš (Eds.), Safety and Reliability – Theory and Applications - Proceedings of the 27th European Safety and Reliability Conference, ESREL 2017 (pp. 3463-3470). (Safety and Reliability - Theory and Applications - Proceedings of the 27th European Safety and Reliability Conference, ESREL 2017). https://doi.org/10.1201/9781315210469-436

Svartzman, Gabriela Gongora ; Ramírez-Márquez, Jose E. / Commuting time variations and reliability of subway systems in case of disruptions. The case study of New York city. Safety and Reliability – Theory and Applications - Proceedings of the 27th European Safety and Reliability Conference, ESREL 2017. editor / Marko Cepin ; Radim Briš. 2017. pp. 3463-3470 (Safety and Reliability - Theory and Applications - Proceedings of the 27th European Safety and Reliability Conference, ESREL 2017).

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title = "Commuting time variations and reliability of subway systems in case of disruptions. The case study of New York city",

abstract = "Subway systems play an essential role in big cities, such as New York City, where more than half of its population relays on public transportation. Commuting times for riders can be altered by small delays such as dwell times, up to massive events (e.g. hurricanes, flooding). This work proposes a micro-event insight into commuting time variations through Discrete Event Simulation. For validation purposes New York City, and in particular line 7 of the subway system is used as a case study. The simulation can be adjusted to other subway systems and can be expanded to include specific type of disruptions. The results, from a general disruption, shows great changes in commuting times, practically exponential. Capacity of trains should be included in future work and more data if it becomes available.",

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Svartzman, GG & Ramírez-Márquez, JE 2017, Commuting time variations and reliability of subway systems in case of disruptions. The case study of New York city. in M Cepin & R Briš (eds), Safety and Reliability – Theory and Applications - Proceedings of the 27th European Safety and Reliability Conference, ESREL 2017. Safety and Reliability - Theory and Applications - Proceedings of the 27th European Safety and Reliability Conference, ESREL 2017, pp. 3463-3470, 27th European Safety and Reliability Conference, ESREL 2017, Portorož, Slovenia, 18/06/17. https://doi.org/10.1201/9781315210469-436

Commuting time variations and reliability of subway systems in case of disruptions. The case study of New York city. / Svartzman, Gabriela Gongora; Ramírez-Márquez, Jose E.
Safety and Reliability – Theory and Applications - Proceedings of the 27th European Safety and Reliability Conference, ESREL 2017. ed. / Marko Cepin; Radim Briš. 2017. p. 3463-3470 (Safety and Reliability - Theory and Applications - Proceedings of the 27th European Safety and Reliability Conference, ESREL 2017).

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

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T1 - Commuting time variations and reliability of subway systems in case of disruptions. The case study of New York city

AU - Svartzman, Gabriela Gongora

AU - Ramírez-Márquez, Jose E.

PY - 2017

Y1 - 2017

N2 - Subway systems play an essential role in big cities, such as New York City, where more than half of its population relays on public transportation. Commuting times for riders can be altered by small delays such as dwell times, up to massive events (e.g. hurricanes, flooding). This work proposes a micro-event insight into commuting time variations through Discrete Event Simulation. For validation purposes New York City, and in particular line 7 of the subway system is used as a case study. The simulation can be adjusted to other subway systems and can be expanded to include specific type of disruptions. The results, from a general disruption, shows great changes in commuting times, practically exponential. Capacity of trains should be included in future work and more data if it becomes available.

AB - Subway systems play an essential role in big cities, such as New York City, where more than half of its population relays on public transportation. Commuting times for riders can be altered by small delays such as dwell times, up to massive events (e.g. hurricanes, flooding). This work proposes a micro-event insight into commuting time variations through Discrete Event Simulation. For validation purposes New York City, and in particular line 7 of the subway system is used as a case study. The simulation can be adjusted to other subway systems and can be expanded to include specific type of disruptions. The results, from a general disruption, shows great changes in commuting times, practically exponential. Capacity of trains should be included in future work and more data if it becomes available.

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Svartzman GG, Ramírez-Márquez JE. Commuting time variations and reliability of subway systems in case of disruptions. The case study of New York city. In Cepin M, Briš R, editors, Safety and Reliability – Theory and Applications - Proceedings of the 27th European Safety and Reliability Conference, ESREL 2017. 2017. p. 3463-3470. (Safety and Reliability - Theory and Applications - Proceedings of the 27th European Safety and Reliability Conference, ESREL 2017). doi: 10.1201/9781315210469-436

Commuting time variations and reliability of subway systems in case of disruptions. The case study of New York city

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