Resilience Assessment of Complex Urban Public Spaces

Abstract

Risk events frequently occur in “complex urban public spaces” (CUPSs) and cause serious economic losses and casualties. To reduce the risks and enhance the system resilience, this paper formulates a theoretical framework to assess the resilience of CUPSs. Resilience is defined as the ratio of preparedness to vulnerability, according to the implication of the concept. Three-level practical indicator systems were established for these two dimensions, respectively. Furthermore, a hybrid approach combining the Analytic Network Process (ANP) and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) was adopted. The Chongqing West Railway Station (the Station (W)) and the Lianglukou Rail Transit Station (the Station (L)) were used for a case study. The results showed that the Chongqing West Railway Station was more resilient to risks than the Lianglukou Rail Transit Station. Therefore, the proposed theoretical framework could be applied in assessing the resilience level of CUPSs. Resilience improvement strategies can be formulated according to the assessment results. Furthermore, the practical indicators could also provide references for urban disaster management.

Population Preparedness for Disasters and Extreme Weather Events as a Predictor of Building a Resilient Society: The Slovak Republic

“…According to the aforementioned facts, the disaster preparedness refers to the preparation of activities and resources designed to improve the system capacities and protection abilities in advance, which corresponds to the interpretation of the resilience as the ability of a system to resist disruption by reducing the initial negative impacts (absorbability), adapting itself to disruption (adaptability), and recovering from disruption (restorability) [ 100 ]. The relation between preparedness and resilience can be seen by the implication of the resilience as the ratio of this preparedness to vulnerability of the system under consideration [ 100 , 101 , 102 ]. The higher the preparedness level, the higher the resilience and the higher the vulnerability, the lower the resilience [ 102 ].…”

Employment Diversification as a Determinant of Economic Resilience and Sustainability in Provincial Cities

“…In a general sense, economic resilience is understood as the response of the system to a specific stimulus or shock or as the ability to avoid and manage natural and anthropogenic risks [20] (p. 16), [21] (p. 2), [22] (p. 524). In the research context, the term is used to describe the relationships occurring in the observed entity during and after the interference.…”

Urban resilience strategies and adaptive capacities. An evaluation for Mexico City

“…En este sentido, se puede considerar que, en el desarrollo de las metodologías para evaluar la resiliencia de los sistemas urbanos, además de contar con un marco metodológico de indicadores se requiere determinar la sensibilidad del valor de resiliencia para la variación de diferentes indicadores, así como definir las estrategias que mejoran el nivel de resiliencia de los sistemas urbanos. Efectivamente, la simulación de resiliencia es una dirección para futuras investigaciones, en la medida que la variación de la capacidad de recuperación del sistema podría simularse en función de la variación de diferentes indicadores y, por lo tanto, se podrían determinar los indicadores importantes para la resiliencia del sistema, y luego se podrían formular estrategias útiles para mejorar la resiliencia del propio sistema (Xu, Li y Wang, 2020).…”

“…Como parte de los marcos de evaluación de la resiliencia, su medición requiere la construcción de indicadores que respondan a un conjunto de criterios, los cuales deben establecerse dependiendo del contexto y las dimensiones temporales y espaciales (Xu, Li y Wang, 2020). La construcción de resiliencia es un proceso a largo plazo (Holden et al, 2016); debido a las incertidumbres inherentes al desarrollo de una ciudad, por sus constantes cambios, así como por las propiedades emergentes que surgen de la interacción entre los componentes de cualquier sistema complejo (Sharifi, 2016).…”