## 2 Literature Review
The disturbance model is a commonly used quantitative analysis method of network resilience [26; 27; 28] that can be used to distinguish dominant and vulnerable city nodes and can also be simulated by multiple attack strategies to achieve the analysis of city resilience. For example, [PERSON] et al. constructed the passenger transport network in the middle reaches of the Yangtze River and conducted disturbance simulation based on network transmission and diversity to study the variation characteristics of urban network resilience and the weakening factors of network structure [29]. Further, [PERSON] et al. studied the street network resilience in five global cities using two disturbance scenarios of random failure and deliberate attack [30]. Based on the China's Dual Circulation Economy in the post-epidemic era, [PERSON] and [PERSON] studied the improvement path and strategy design of the resilience of aviation logistics development [31]. [PERSON] et al. studied the vulnerability of Taiwan's intercity freight transportation network [32]. The development of channel economy is not limited to goods transport and trade, and the impact of population flow is even more significant. [PERSON] and [PERSON] especially have studied the passenger and cargo flow network of expressways in the Yangtze River Delta region [33]. Therefore, the coordinated development of passenger transport and logistics is not only a major difficulty in the construction of trade channels, but also is a key point to realize regional economic growth [34]. However, most of the related studies are only carried out from a single perspective of logistics or passenger flow, and there is a lack of discussion on the coordination between them. For example, [PERSON] et al. studied the factors of blockchain adoption in the freight and logistics industry [35]. [PERSON] et al. evaluated the robustness of the multimodal cargo transportation network [36]. [PERSON] et al. studied the impact of changes in ground passenger travel and related CO\({}_{2}\) emissions in Europe under the background of COVID-19 [37]. [PERSON] and [PERSON] proposed a scenario analysis of the future of passenger transport in Europe by assessing the potential impact of digitization on travel demand, energy consumption, and CO\({}_{2}\) emissions under different assumptions [38]. Passenger flow and logistics are important components of an integrated transportation system. Research on the coordination relationship between them will greatly reduce transportation costs, improve the comprehensive transportation efficiency, and maximize the economic effect of the channel. Therefore, this study adopts the coupled coordination model to study the coordination effect of the two. Coupling coordination model is often used to measure the degree of interaction between two or more elements. [PERSON] et al. measured the coupling coordination degree of 27 provinces in China and analyzed its spatial relationship by establishing an evaluation index system for the coupling coordination degree of high-speed rail, population and economy [39]. In view of this, this paper constructs a comprehensive network structure analysis model to discuss the evolution and coupling and the coordinated development of the passenger transportation and logistics network of the New Western Land-Sea Corridor. According to the four important time turning points in the development process of western China, the cross-sectional data of 2000, 2006, 2012, and 2018 are selected. It selects passenger volume and freight volume and uses a gravity model to measure the correlation strength of passenger and freight transportation and establishes the urban passenger and freight transport network. A disturbance model was used to analyze the variation of the resilience of passenger and freight transport networks and put forward the corresponding strengthening strategies. It uses the network growth method to optimize its passenger and freight network.