VULNERABILITY ASSESSMENT OF URBAN RAIL TRANSPORT TAKING INTO ACCOUNT BUS TRANSFERS

To accurately assess the vulnerability of urban rail transit networks and enhance their resistance to operational risks, it is essential to consider the influence of passenger flow within the network and the role of bus transfers when stops fail. This study proposes a vulnerability assessment method based on quantifying average passenger travel time losses. Simulations and calculations were conducted to evaluate network vulnerability following station failures. The impact of bus transfer efficiency coeffi-cients on network vulnerability was systematically analyzed. The results show that transfers to buses at stops with a high number of neighboring nodes cause greater average travel time losses. When bus transfer efficiency exceeds 0.8, average travel time losses reduce to 10% or less, demonstrating signif-icant resilience improvements.

Authors

Publication Details

Journal
World of transport and technological machines
Published
2025-01-01
DOI
https://doi.org/10.33979/2073-7432-2025-3-2(90)-3-9
Primary Topic
Risk and Safety Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

VULNERABILITY ASSESSMENT OF URBAN RAIL TRANSPORT TAKING INTO ACCOUNT BUS TRANSFERS

Di Qi
World of transport and technological machines
Risk and Safety Analysis
article

VULNERABILITY ASSESSMENT OF URBAN RAIL TRANSPORT TAKING INTO ACCOUNT BUS TRANSFERS

Di Qi
article en

Abstract

To accurately assess the vulnerability of urban rail transit networks and enhance their resistance to operational risks, it is essential to consider the influence of passenger flow within the network and the role of bus transfers when stops fail. This study proposes a vulnerability assessment method based on quantifying average passenger travel time losses. Simulations and calculations were conducted to evaluate network vulnerability following station failures. The impact of bus transfer efficiency coeffi-cients on network vulnerability was systematically analyzed. The results show that transfers to buses at stops with a high number of neighboring nodes cause greater average travel time losses. When bus transfer efficiency exceeds 0.8, average travel time losses reduce to 10% or less, demonstrating signif-icant resilience improvements.

World of transport and technological machinesVol. 90(3-2)
Openalex Percentile: Top 73%
Risk and Safety Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.