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Rapid urbanization and industrialization in China have seriously threatened the ecosystem and urban sustainability. This paper estimated the dynamic variations of ecosystem service value (ESV) in response to changes of land use/land cover (LULC) under rapid urbanization, and it analyzed their impacts on sustainability of urban system. Tianjin, the largest coastal city in China, was selected as the study area. The total ESV of Tianjin was approximately 8791.86 million Yuan in 2003, 7948.04 million Yuan in 2007, and 8378.53 million Yuan in 2011. By taking the total dynamic ESV as one of the key factors, we calculated the indexes of urban sustainability from 2003 to 2011. It was found that the dynamic variations of ESV in response to LULC changes had significant impacts on the sustainability of urban system. Therefore, in order to increase the capacity for urban sustainable development, there is an urgent need to lighten the heavy burden on the ecosystem through rational land use management during rapid urbanization. [ABSTRACT FROM AUTHOR]

This paper proposes a hierarchical Bayesian network model (BNM) to quantitatively evaluate the resilience of urban transportation systems. Based on systemic thinking and taking a sustainability perspective, we investigate the long-term resilience of the road transportation systems in four cities in China from 1998 to 2017, namely Beijing, Tianjin, Shanghai, and Chongqing, respectively. The model takes into account various factors collected from multi-source data platforms involved in stages of design, construction, operation, management, and innovation in road transportation systems. We test the model with the forward inference, sensitivity analysis, and backward inference. The result shows that the overall resilience scores of all four cities' transportation systems are within a moderate range with values between 49% to 59%. Although they all have an ever-increasing economic level, the levels of transportation resilience in Beijing and Tianjin decrease first and then gradually increase in a long run, which indicates a strong multi-dimensional, dynamic, and non-linear characteristic in resilience-economic coupling effect. Additionally, the results obtained from the sensitivity analysis and backward inference suggest that decision makers should pay more attention to the capabilities of quickly rebuilding and making changes to cope with future disturbances. As an exploratory study, this study clarifies the concepts of long-term multi-dimensional resilience and specific hazard-related resilience and provides an effective decision-support tool for stakeholders when building resilient infrastructure. • A novel BNM is proposed to evaluate multi-faceted transportation resilience. • Forward inference, sensitivity tests, and backward inference are conducted. • Long-term transportation resilience is highly dynamic in the tested cities. • The coupling effects of resilience with economic level is not always linear. • Abilities to rebuild and adapt through reconfiguration are of importance. [ABSTRACT FROM AUTHOR]