Rail transit resilience measurement method under extreme weather events

By constructing resilience curves and spatiotemporal weighted regression models under extreme weather events, the problem of missing spatiotemporal dynamic processes in the existing technology for assessing the resilience of rail transit is solved, enabling accurate assessment and emergency response support for rail transit systems under extreme weather conditions.

CN118690338BActive Publication Date: 2026-05-19SOUTH CHINA NORMAL UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SOUTH CHINA NORMAL UNIV
Filing Date
2024-06-25
Publication Date
2026-05-19

AI Technical Summary

Technical Problem

Existing technologies lack effective modeling and assessment of the spatiotemporal dynamic processes of extreme weather events and the resilience response of rail transit, failing to accurately reflect the performance differences of different rail transit stations under extreme weather conditions, resulting in inaccurate and ineffective responses from assessment and early warning systems.

Method used

By preprocessing subway card swiping data and meteorological data, resilience curves under extreme weather events are constructed, the spatiotemporal similarity of each subway station is calculated, stations are classified based on functional type and resilience performance, a spatiotemporal geographic weighted regression model is used for resilience assessment, and stations are clustered by combining autocorrelation function and spectral clustering methods. A spatiotemporal geographic weighted regression model is then constructed for resilience assessment.

Benefits of technology

It enables accurate assessment of rail transit systems under extreme weather conditions, provides targeted emergency management strategies, improves the disaster prevention and mitigation capabilities of the transportation system and passenger safety, and enhances emergency response capabilities.

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Abstract

The application discloses a kind of rail transit resilience measurement methods under extreme weather event, the resilience measurement methods include the following steps: S1, construct resilience curve under extreme weather event;S2, the spatiotemporal similarity of each subway station is calculated;S3, site classification is carried out;S4, by comparative analysis, obtain the resilience performance of different functional type sites under extreme weather event;S5, obtain the regression analysis result of the resilience performance of each site under different typhoon intensity.The resilience measurement method of the application is used in urban traffic planning and emergency management, the resilience of rail transit under extreme weather event can be measured using the method, and the resilience performance of rail transit sites of different functions is accurately evaluated, thereby providing decision support for rail transit emergency management when extreme event occurs, helping to improve traffic disaster prevention and disaster resistance, improve urban public transport risk resistance, and protect passenger safety.
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