TY - JOUR
T1 - Exploring the robustness of public transportation for sustainable cities
T2 - A double-layered network perspective
AU - Ma, Fei
AU - Shi, Wenjing
AU - Yuen, Kum Fai
AU - Sun, Qipeng
AU - Xu, Xiaobo
AU - Wang, Yongjie
AU - Wang, Zuohang
N1 - Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/8/20
Y1 - 2020/8/20
N2 - The reliable and safe operation of an urban public transportation (UPT) system is of great significance to the sustainable development of a city. In-depth analyses of UPT network by exploring the topological structure and passenger travel features can help explain the mechanisms driving reliable UPT operations. Based on complex network theory, we proposed a robust model for a Bus-Subway double-layered network (B–S DLN) from the structural and functional perspectives. The following indicators were used to quantify the structural robustness of B–S DLN: average path length (APL), relative size of giant component (RSGC) and global network efficiency (GNE). The functional robustness was measured using the ratio of passenger flow loss (R). Using urban traffic data from the Xicheng District of Beijing, we analyzed the cascading failure of B–S DLN based on a nonlinear load-capacity model with two capacity control parameters: α and β. The simulation results show that α and β significantly impact the cascading failure process of B–S DLN. An increase in β or decrease in α can enhance the network's ability to resist cascading failure. The parameter control method revealed that the B–S DLN achieves strong robustness when α = 0.2 and β = 0.5. Comparing the network robustness under a random attack and intentional attack, the B–S DLN is more robust under an intentional attack than in the random attack mode. This indicates that the robustness of B–S DLN can be significantly improved by rationally increasing station capacities.
AB - The reliable and safe operation of an urban public transportation (UPT) system is of great significance to the sustainable development of a city. In-depth analyses of UPT network by exploring the topological structure and passenger travel features can help explain the mechanisms driving reliable UPT operations. Based on complex network theory, we proposed a robust model for a Bus-Subway double-layered network (B–S DLN) from the structural and functional perspectives. The following indicators were used to quantify the structural robustness of B–S DLN: average path length (APL), relative size of giant component (RSGC) and global network efficiency (GNE). The functional robustness was measured using the ratio of passenger flow loss (R). Using urban traffic data from the Xicheng District of Beijing, we analyzed the cascading failure of B–S DLN based on a nonlinear load-capacity model with two capacity control parameters: α and β. The simulation results show that α and β significantly impact the cascading failure process of B–S DLN. An increase in β or decrease in α can enhance the network's ability to resist cascading failure. The parameter control method revealed that the B–S DLN achieves strong robustness when α = 0.2 and β = 0.5. Comparing the network robustness under a random attack and intentional attack, the B–S DLN is more robust under an intentional attack than in the random attack mode. This indicates that the robustness of B–S DLN can be significantly improved by rationally increasing station capacities.
KW - Cascading failure
KW - Double-layered network
KW - Nonlinear load-capacity model
KW - Robustness
KW - Urban public transportation
UR - http://www.scopus.com/inward/record.url?scp=85083874987&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2020.121747
DO - 10.1016/j.jclepro.2020.121747
M3 - Article
AN - SCOPUS:85083874987
SN - 0959-6526
VL - 265
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
M1 - 121747
ER -