TY  - JOUR
PY  - 2023//
TI  - Resilience assessment of a highway-railway complementary network under rainstorms
JO  - Transportation research part D: transport and environment
A1  - Chen, Jinqu
A1  - Liang, Cheng
A1  - Liu, Jie
A1  - Du, Bo
A1  - Yin, Yong
A1  - Peng, Qiyuan
SP  - e103841
EP  - e103841
VL  - 121
IS  - 
N2  - With the increasing severity of global warming, rainstorms are occurring more frequently and severely affect the normal operation of transportation systems. Therefore, the ability of a highway-railway complementary (HRC) network to cope with rainstorms is examined. A resilience assessment model considering the rainfall intensity and its spatiotemporal distribution was used. A numerical experiment was conducted on the HRC network in Fujian Province, China, and the results indicate that the HRC network is more resilient to rainstorms than the highway and railway networks. A nonlinear positive correlation is observed between the network's resilience and rainfall intensity. Rainstorms from March to September severely affect the resilience of the network, particularly in June, August, and September of each year. In terms of resilience, Nan'an and Quanzhou are the most critical county and city, respectively. Furthermore, the impact of coastal cities on network's resilience is greater than that of inland cities.<p />  <p>Language: en</p>
LA  - en
SN  - 1361-9209
UR  - http://dx.doi.org/10.1016/j.trd.2023.103841
ID  - ref1
ER  -