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Vulnerability analysis and critical area identification of public transport system: A case of high-speed rail and air transport coupling system in China

机译:公共交通系统的脆弱性分析与关键区域识别-以中国高铁与航空运输耦合系统为例

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The public transport system (PTS) consists of different types of transport subsystems, such as high-speed rail (HSR), air transport (AT), conventional railway, expressway and waterway in a state, which exerts significant impacts on distribution of demographic and economic activities. And its interruption or failure may cause severe social and economic disruption. So the vulnerability analysis of the system attracts an increasing attention. However, most of previous researches mainly concentrate on the vulnerability modeling and analyzing of a single subsystem, neglecting the simultaneous interruption of components, and less considering the complementary effects of other subsystems from systematic perspective and the geographic interdependency among components. For trying to fill these gaps, this paper proposes a method to analyze the vulnerability of PTS composed of two or more transport subsystems and identity the critical area within the system based on the data of running timetable and position coordinates. Finally, taking HSR and AT coupling system in mainland China as a case study, we investigate the differences of vulnerability and critical areas between individual subsystem and overall system. Results reveal that the vulnerability variations and the critical areas distribution of the system are different from these of the subsystems. The research also finds that whether a component is critical depends not only on the system's feature, but also on the component's feature, whether an area is critical depends on economic development and population density of the area. These findings are beneficial to prioritize the plan, budget and maintenance of PTS, and prepare emergency response plans.
机译:公共运输系统(PTS)由不同类型的运输子系统组成,例如某州的高铁(HSR),航空运输(AT),常规铁路,高速公路和水路,这会对人口和经济的分布产生重大影响经济活动。其中断或失败可能会导致严重的社会和经济中断。因此,系统的漏洞分析引起了越来越多的关注。但是,大多数先前的研究主要集中在单个子系统的漏洞建模和分析上,而忽略了组件的同时中断,而很少从系统的角度以及组件之间的地理相互依赖性考虑其他子系统的互补效应。为了填补这些空白,本文提出了一种方法,用于分析由两个或多个运输子系统组成的PTS的脆弱性,并根据运行时间表和位置坐标的数据来识别系统中的关键区域。最后,以中国大陆的HSR和AT耦合系统为例,研究了各个子系统与整个系统之间的脆弱性和关键区域的差异。结果表明,系统的脆弱性变化和关键区域分布与子系统的不同。研究还发现,某个组件是否关键不仅取决于系统的功能,还取决于该组件的功能,某个区域是否关键取决于该地区的经济发展和人口密度。这些发现对于优先安排PTS的计划,预算和维护以及准备应急计划很有帮助。

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