Next Article in Journal
Decentralized Renewable Hybrid Mini-Grids for Rural Communities: Culmination of the IREP Framework and Scale up to Urban Communities
Previous Article in Journal
Corporate Responsibility for Human Rights in Assam Tea Plantations: A Business and Human Rights Approach
Article

Analysis of Transportation Network Vulnerability and Resilience within an Urban Agglomeration: Case Study of the Greater Bay Area, China

Institute of Transportation Engineering, Tsinghua University, Beijing 100084, China
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(18), 7410; https://doi.org/10.3390/su12187410
Received: 17 August 2020 / Revised: 7 September 2020 / Accepted: 8 September 2020 / Published: 9 September 2020
(This article belongs to the Section Sustainable Transportation)
Recently, urban agglomerations have become the main platform of China’s economic development. As one of those, the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) has an important strategic position in national blueprints. Its amazing achievement is inseparable from reliable and resilient transportation networks. With the aim of improving the sustainability of the GBA, this paper presents a novel view of vulnerability and resilience of integrated transportation networks within an urban agglomeration. According to complex network theory, the integrated transportation network model of the GBA was established. Various scenarios were considered to improve the overall level of defensive ability, including random failures, targeted attacks and natural hazards. Vulnerability and resilience assessment models were developed to investigate the influences on the whole network. Finally, a simulation analysis was conducted on the GBA to examine the variations in network performance when faced with different attack scenarios. The results indicate that the transportation network of the GBA is more vulnerable and has less resilience to targeted attacks, while natural hazards had little influence on the performance, to a certain extent. Moreover, the betweenness recovery strategy seemed to be the best choice for every attack scenario. View Full-Text
Keywords: urban agglomeration; vulnerability; resilience; transportation network characteristics urban agglomeration; vulnerability; resilience; transportation network characteristics
Show Figures

Figure 1

MDPI and ACS Style

Chen, M.; Lu, H. Analysis of Transportation Network Vulnerability and Resilience within an Urban Agglomeration: Case Study of the Greater Bay Area, China. Sustainability 2020, 12, 7410. https://doi.org/10.3390/su12187410

AMA Style

Chen M, Lu H. Analysis of Transportation Network Vulnerability and Resilience within an Urban Agglomeration: Case Study of the Greater Bay Area, China. Sustainability. 2020; 12(18):7410. https://doi.org/10.3390/su12187410

Chicago/Turabian Style

Chen, Mingyu, and Huapu Lu. 2020. "Analysis of Transportation Network Vulnerability and Resilience within an Urban Agglomeration: Case Study of the Greater Bay Area, China" Sustainability 12, no. 18: 7410. https://doi.org/10.3390/su12187410

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop