Model Development of Personnel Scheduling among Subway Stations: Considering Resistance and Recovery Capabilities

Jiaming Huang; Ting Zhang; Jingjing Chen; Xinyan Zhang; Shuo Shi

doi:10.1061/9780784485484.136

Model Development of Personnel Scheduling among Subway Stations: Considering Resistance and Recovery Capabilities

Jiaming Huang
, Ting Zhang
, Jingjing Chen
, Xinyan Zhang
, Shuo Shi

Division of Business and Hospitality Management (BHM)

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

Abstract

Urban rail transit has increasingly become the favored mode of transportation for city residents due to its characteristics of speed, efficiency, and cost-effectiveness. However, the growing demand for travel has led to frequent occurrences of large passenger flow events in recent years, severely impacting the operation of rail transit systems and causing direct losses. When a high passenger flow event occurs, the number of commuters at subway stations surges, leading to a shortage of station staff and strained operational capacity. Based on this, the article analyzes different stages post-disaster and evaluates the resilience of urban rail transit stations. Furthermore, the evaluation results provide a basis for personnel scheduling at subway stations.

Original language	English
Title of host publication	CICTP 2024
Subtitle of host publication	Resilient, Intelligent, Connected, and Lowcarbon Multimodal Transportation - Proceedings of the 24th COTA International Conference of Transportation Professionals
Editors	Jianming Ma, Qin Luo, Lijun Sun, Baicheng Li, Jingjing Chen, Guohui Zhang
Publisher	American Society of Civil Engineers (ASCE)
Pages	1433-1443
Number of pages	11
ISBN (Electronic)	9780784485484
DOIs	https://doi.org/10.1061/9780784485484.136
Publication status	Published - 2024
Event	24th COTA International Conference of Transportation Professionals: Resilient, Intelligent, Connected, and Lowcarbon Multimodal Transportation, CICTP 2024 - Shenzhen, China Duration: 23 Jul 2024 → 26 Jul 2024

Publication series

Name	CICTP 2024: Resilient, Intelligent, Connected, and Lowcarbon Multimodal Transportation - Proceedings of the 24th COTA International Conference of Transportation Professionals

Conference

Conference	24th COTA International Conference of Transportation Professionals: Resilient, Intelligent, Connected, and Lowcarbon Multimodal Transportation, CICTP 2024
Country/Territory	China
City	Shenzhen
Period	23/07/24 → 26/07/24

UN SDGs

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

SDG 11 Sustainable Cities and Communities

Keywords

High passenger
Human scheduling
Resilience

Access to Document

10.1061/9780784485484.136

Cite this

Huang, J., Zhang, T., Chen, J., Zhang, X., & Shi, S. (2024). Model Development of Personnel Scheduling among Subway Stations: Considering Resistance and Recovery Capabilities. In J. Ma, Q. Luo, L. Sun, B. Li, J. Chen, & G. Zhang (Eds.), CICTP 2024: Resilient, Intelligent, Connected, and Lowcarbon Multimodal Transportation - Proceedings of the 24th COTA International Conference of Transportation Professionals (pp. 1433-1443). (CICTP 2024: Resilient, Intelligent, Connected, and Lowcarbon Multimodal Transportation - Proceedings of the 24th COTA International Conference of Transportation Professionals). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/9780784485484.136

Huang, Jiaming ; Zhang, Ting ; Chen, Jingjing et al. / Model Development of Personnel Scheduling among Subway Stations : Considering Resistance and Recovery Capabilities. CICTP 2024: Resilient, Intelligent, Connected, and Lowcarbon Multimodal Transportation - Proceedings of the 24th COTA International Conference of Transportation Professionals. editor / Jianming Ma ; Qin Luo ; Lijun Sun ; Baicheng Li ; Jingjing Chen ; Guohui Zhang. American Society of Civil Engineers (ASCE), 2024. pp. 1433-1443 (CICTP 2024: Resilient, Intelligent, Connected, and Lowcarbon Multimodal Transportation - Proceedings of the 24th COTA International Conference of Transportation Professionals).

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title = "Model Development of Personnel Scheduling among Subway Stations: Considering Resistance and Recovery Capabilities",

abstract = "Urban rail transit has increasingly become the favored mode of transportation for city residents due to its characteristics of speed, efficiency, and cost-effectiveness. However, the growing demand for travel has led to frequent occurrences of large passenger flow events in recent years, severely impacting the operation of rail transit systems and causing direct losses. When a high passenger flow event occurs, the number of commuters at subway stations surges, leading to a shortage of station staff and strained operational capacity. Based on this, the article analyzes different stages post-disaster and evaluates the resilience of urban rail transit stations. Furthermore, the evaluation results provide a basis for personnel scheduling at subway stations.",

keywords = "High passenger, Human scheduling, Resilience",

author = "Jiaming Huang and Ting Zhang and Jingjing Chen and Xinyan Zhang and Shuo Shi",

note = "Publisher Copyright: {\textcopyright} ASCE.; 24th COTA International Conference of Transportation Professionals: Resilient, Intelligent, Connected, and Lowcarbon Multimodal Transportation, CICTP 2024 ; Conference date: 23-07-2024 Through 26-07-2024",

year = "2024",

doi = "10.1061/9780784485484.136",

language = "English",

series = "CICTP 2024: Resilient, Intelligent, Connected, and Lowcarbon Multimodal Transportation - Proceedings of the 24th COTA International Conference of Transportation Professionals",

publisher = "American Society of Civil Engineers (ASCE)",

pages = "1433--1443",

editor = "Jianming Ma and Qin Luo and Lijun Sun and Baicheng Li and Jingjing Chen and Guohui Zhang",

booktitle = "CICTP 2024",

address = "United States",

}

Huang, J, Zhang, T, Chen, J, Zhang, X & Shi, S 2024, Model Development of Personnel Scheduling among Subway Stations: Considering Resistance and Recovery Capabilities. in J Ma, Q Luo, L Sun, B Li, J Chen & G Zhang (eds), CICTP 2024: Resilient, Intelligent, Connected, and Lowcarbon Multimodal Transportation - Proceedings of the 24th COTA International Conference of Transportation Professionals. CICTP 2024: Resilient, Intelligent, Connected, and Lowcarbon Multimodal Transportation - Proceedings of the 24th COTA International Conference of Transportation Professionals, American Society of Civil Engineers (ASCE), pp. 1433-1443, 24th COTA International Conference of Transportation Professionals: Resilient, Intelligent, Connected, and Lowcarbon Multimodal Transportation, CICTP 2024, Shenzhen, China, 23/07/24. https://doi.org/10.1061/9780784485484.136

Model Development of Personnel Scheduling among Subway Stations: Considering Resistance and Recovery Capabilities. / Huang, Jiaming; Zhang, Ting; Chen, Jingjing et al.
CICTP 2024: Resilient, Intelligent, Connected, and Lowcarbon Multimodal Transportation - Proceedings of the 24th COTA International Conference of Transportation Professionals. ed. / Jianming Ma; Qin Luo; Lijun Sun; Baicheng Li; Jingjing Chen; Guohui Zhang. American Society of Civil Engineers (ASCE), 2024. p. 1433-1443 (CICTP 2024: Resilient, Intelligent, Connected, and Lowcarbon Multimodal Transportation - Proceedings of the 24th COTA International Conference of Transportation Professionals).

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

TY - GEN

T1 - Model Development of Personnel Scheduling among Subway Stations

T2 - 24th COTA International Conference of Transportation Professionals: Resilient, Intelligent, Connected, and Lowcarbon Multimodal Transportation, CICTP 2024

AU - Huang, Jiaming

AU - Zhang, Ting

AU - Chen, Jingjing

AU - Zhang, Xinyan

AU - Shi, Shuo

N1 - Publisher Copyright: © ASCE.

PY - 2024

Y1 - 2024

N2 - Urban rail transit has increasingly become the favored mode of transportation for city residents due to its characteristics of speed, efficiency, and cost-effectiveness. However, the growing demand for travel has led to frequent occurrences of large passenger flow events in recent years, severely impacting the operation of rail transit systems and causing direct losses. When a high passenger flow event occurs, the number of commuters at subway stations surges, leading to a shortage of station staff and strained operational capacity. Based on this, the article analyzes different stages post-disaster and evaluates the resilience of urban rail transit stations. Furthermore, the evaluation results provide a basis for personnel scheduling at subway stations.

AB - Urban rail transit has increasingly become the favored mode of transportation for city residents due to its characteristics of speed, efficiency, and cost-effectiveness. However, the growing demand for travel has led to frequent occurrences of large passenger flow events in recent years, severely impacting the operation of rail transit systems and causing direct losses. When a high passenger flow event occurs, the number of commuters at subway stations surges, leading to a shortage of station staff and strained operational capacity. Based on this, the article analyzes different stages post-disaster and evaluates the resilience of urban rail transit stations. Furthermore, the evaluation results provide a basis for personnel scheduling at subway stations.

KW - High passenger

KW - Human scheduling

KW - Resilience

UR - https://www.scopus.com/pages/publications/85213970996

U2 - 10.1061/9780784485484.136

DO - 10.1061/9780784485484.136

M3 - Conference contribution

AN - SCOPUS:85213970996

T3 - CICTP 2024: Resilient, Intelligent, Connected, and Lowcarbon Multimodal Transportation - Proceedings of the 24th COTA International Conference of Transportation Professionals

SP - 1433

EP - 1443

BT - CICTP 2024

A2 - Ma, Jianming

A2 - Luo, Qin

A2 - Sun, Lijun

A2 - Li, Baicheng

A2 - Chen, Jingjing

A2 - Zhang, Guohui

PB - American Society of Civil Engineers (ASCE)

Y2 - 23 July 2024 through 26 July 2024

ER -

Huang J, Zhang T, Chen J, Zhang X, Shi S. Model Development of Personnel Scheduling among Subway Stations: Considering Resistance and Recovery Capabilities. In Ma J, Luo Q, Sun L, Li B, Chen J, Zhang G, editors, CICTP 2024: Resilient, Intelligent, Connected, and Lowcarbon Multimodal Transportation - Proceedings of the 24th COTA International Conference of Transportation Professionals. American Society of Civil Engineers (ASCE). 2024. p. 1433-1443. (CICTP 2024: Resilient, Intelligent, Connected, and Lowcarbon Multimodal Transportation - Proceedings of the 24th COTA International Conference of Transportation Professionals). doi: 10.1061/9780784485484.136

Model Development of Personnel Scheduling among Subway Stations: Considering Resistance and Recovery Capabilities

Abstract

Publication series

Conference

UN SDGs

Keywords

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