Urbanization is a continuous process for a city’s economic development. Though rapid urbanization provides a huge employment opportunity for people, urban threats also increase proportionately due to natural and man-made hazards. Understanding urban resilience and sustainability is an urgent matter to face hazards in the rapidly urbanized world. Therefore, this study aims to clarify the concept and develop key indications of urban resilience and sustainability from the existing literature. A systematic literature review guided by PRISMA has been conducted using literature from 1 January 2001 to 30 November 2021. It argues that sustainability and resilience are interrelated paradigms that emphasize a system’s capacity to move toward desirable development paths. Resilience and sustainability are fundamentally concerned with preserving societal health and well-being within the context of a broader framework of environmental change. There are significant differences in their emphasis and time scales, particularly in the context of urbanization. This study has identified key indicators of urban resilience under three major components like adaptive capacity (education, health, food, and water), absorptive capacity (community support, urban green space, protective infrastructure, access to transport), and transformative capacity (communication technology, collaboration of multi-stakeholders, emergency services of government, community-oriented urban planning). This study also identified several indicators under major dimensions (social, economic, and environmental) of urban sustainability. The findings will be fruitful in understanding the dynamics of urban vulnerability and resilience and its measurement and management strategy from developed indicators.

The economic–tourism–environment (ETE) is a complex system with extensive connotations and coupling characteristics. The exact understanding of these systems forms the prerequisite and basis for regional development. This study explores the impact of the coupling coordination of the ETE system on the level and influencing factors of sustainable development in western China. An evaluation index system has been developed for assessing the coupling coordination (CC) of the ETE system based on the context of 12 provinces and cities in western China. Entropy and spatial autocorrelation methods have been used to evaluate the comprehensive benefit value and influencing factors of the ETE systems in the region. The spatial Durbin model has been used to assess empirical data from 2010–2019. The coupling coordination degree (CCD) of each subsystem was used as the main explanatory variable to quantify the spatial spillover effect. The research results show that the ETE system of the provinces and cities in western China have a strong correlation. The three subsystems interact, restrict, and promote each other, operating together in contradictory unity. The degree of coupling and coordination of the ETE systems are mainly stable but fluctuate from the time perspective. From the spatial perspective, the level of coupling and coordination have clear spatial correlation and spatial dependence. However, since 2013, the spatial dependence has significantly weakened, indicating that the level of coupling coordination is moving towards a balanced direction. The ETE subsystems not only promote the improvement of the coupling coordination of the region itself, but also optimize the coupling coordination of neighboring areas. The promotion effect of each subsystem on the degree of self-coupling and coordination is greater than the promotion effect on neighboring areas.

The successful implementation of urban resilience strategies is of utmost importance in order to reduce susceptibility and bolster resilience in the face of climate change consequences. The current understanding of the efficacy of different resilience strategies in mitigating vulnerability and bolstering urban resilience is lacking, despite its significance. This study assesses the efficacy of resilience strategies in mitigating vulnerability and enhancing urban resilience. We conducted a comprehensive analysis of scholarly literature published in English following PRISMA criteria from January 2001 to July 2023. Finally, 116 articles met the inclusion criteria and were selected for in-depth analysis. Results indicate that while resilience strategies have the potential to reduce susceptibility and enhance urban resilience, the effectiveness of resilience techniques is contingent upon various factors, such as the type of hazard, urban setting, and implementation process. The study also highlights the significance of stakeholder involvement, community participation, and adaptive management as essential components for effectively implementing resilience measures. Integrating physical, social, and institutional components in resilience practices demonstrated notable effectiveness. This study also reveals that improving the physical resilience of urban areas and strengthening their social and institutional capabilities to address and learn from disruptive events and pressures can decrease their vulnerability. The research also exposes those strategies focusing solely on mitigating a single issue, such as physical infrastructure, while neglecting social or institutional elements, which prove less effective. A comprehensive approach, incorporating institutional, social, and physical measures, should be designed to achieve maximal efficacy in mitigating vulnerability and strengthening urban resilience.

At a time when vocational education is seen as critical for national development, concern grows regarding how weak organizational culture and occupational commitment may threaten the production of quality graduates and teachers within the field. The failure of vocational institutions to effectively create human capital likely threatens the connections between Chinese industry and its educational institutions. This study thus explores how these connections are influenced by organizational and occupational factors. A multi-layer linear model is employed on data collected from 406 teachers from 69 Chinese vocational colleges and universities. Results suggest that organizational cultural positively influences industry-university cooperative behavior through the construction of strong occupational commitment and job involvement. This study not only enriches and expands new knowledge and academic perspectives, but also provides feasible policy suggestions to help guide educational administrators toward the improvement of vocational education.

Data are playing an increasingly important role in the development of industry–education cooperation strategies in vocational education and training. The objective of this study was to promote the comprehensive progress of an industry–education cooperation system and improve the effect of the application of big data technology in this system. First, we designed of a big data technology application in an intelligent management platform system for industry–education cooperation. Second, we analyzed the synthetical design of the system. Finally, we optimized and designed a support vector machine (SVM) data mining (DM) algorithm model based on big data, and evaluated the model. The results revealed that the designed algorithm model provides outstanding advantages compared with similar algorithm models. In general, the highest average computation time of the designed SVM algorithm model is about 95 ms. The overall average calculation time linearly decreases around 200 iterations and tends to be stable, and the lowest overall average computation time is about 20 ms. In the DM process, the highest accuracy rate of the model is about 97%, and the lowest is about 92%. The DM accuracy rate is always stable as the number of iterations of the model continues to increase. The designed model slowly increases the occupancy rate of the system in the process of increasing computing time. At about 60 min, the system occupancy rate of the model tends to be stable, and the highest is maintained at about 23%. This study not only provides technical support for the optimization of DM algorithms with big data technology, but also contributes to the integrated development of industry–education cooperation systems.

The people of disaster-affected communities are suffering from post-traumatic stress disorder (PTSD) due to the adverse effects of natural disasters. Education about disasters has become a possible strategy for fostering resilience and easing PTSD symptoms. This study intends to investigate the moderating roles of social support and disaster experiences on the relationships between disaster education, psychological resilience, and PTSD in disaster-prone regions of Southwest China. This study used Disaster Education Evaluation Scale, Psychological Resilience Scale (CD-RISC), Social Support Rating Scale (SRSS), event intensity Scale and Post Traumatic Stress Disorder Self-Rating Scale (PTSD-SS), surveyed 712 residents in Yunnan, Guizhou, Sichuan and other areas where natural disasters frequently occur in Southwest China. The research findings indicate that there is a negative association between disaster education and PTSD. The association is influenced by the presence of improved psychological resilience, which acts as a mediator. Additionally, it was discovered that disaster events positively moderated the relationship between psychological resilience and PTSD while social support negatively moderated it. Resilience has a noteworthy role as a substantial mediator, highlighting its crucial function in mitigating the detrimental consequences of catastrophes and amplifying the beneficial outcomes of disaster education. These results imply that building psychological resilience, which might reduce PTSD symptoms in people living in disaster-prone regions, is a critical part of disaster education. The strength of the catastrophic event and social support are other factors that affect how psychological resilience and PTSD are related. The research argues that disaster education is crucial for strengthening community resilience and reducing PTSD symptoms in at-risk areas. To increase psychological resilience and lessen PTSD in high-risk locations, policymakers and disaster management organizations should emphasize disaster education initiatives and strengthen social support network.