Title: Research on urban transport network topology vulnerability identification under rainfall conditions
Authors: Weiwei Liu; Yang Tang; Fei Yang; Yi Dou; Jin Wang
Addresses: Business School, University of Shanghai for Science and Technology, Shanghai, 200093, China ' Urban and Rural Planning and Design Institute, Zhejiang University, Hangzhou, 310023, China ' Urban and Rural Planning and Design Institute, Zhejiang University, Hangzhou, 310023, China ' Center for Social and Environmental Systems Research, National Institute for Environmental Studies (NIES), 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan ' School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410004, China
Abstract: Under the impact of global climate change, meteorological disasters, such as rainstorms, have occurred frequently during recent years and have led to several severe disruptions of transport network in urban areas. In order to minimise the risk of potential losses of life and properties, this paper presents a method to identify topology vulnerability of road networks for a range of rainfall scenarios. Meanwhile, a review is presented regarding the theories and methods of vulnerability analysis. The paper defines the concept of vulnerability of road network considering the intensity of rainfall. It establishes a comprehensive assessment index of 'importance of nodes and edges' by combining the 'betweenness and traffic flow' to find out the source of road network fragility considering the intensity of rainfall. Afterwards, the assessment index 'mincuts frequency vector' is introduced into the assessment of topology vulnerability. This paper provided the scientific basis for disaster control and reduction of the urban road network.
Keywords: urban traffic; topology vulnerability; road network; rainfall; mincuts frequency vector.
International Journal of Embedded Systems, 2020 Vol.13 No.3, pp.352 - 359
Received: 02 Apr 2019
Accepted: 10 Nov 2019
Published online: 11 May 2020 *