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The rapid economic development of coastal cities causes frequent land use/cover change (LUCC), which has a significant negative impact on the functions and services of coastal ecosystems. In this paper, we considered Shanghai, China, as the study area and assessed its ecosystem service value (ESV) using the equivalence coefficient table method based on land use data from 2000, 2010 and 2020. Multi-scenario simulations of LUCC and ESV in 2030 were carried out by establishing a future land use simulation (FLUS) model. The results showed that from 2000 to 2020, the most obvious features of LUCC in Shanghai included an increase in built-up land (an increase of 1388.09 km2) and a decrease in cultivated land (a decrease of 1355.85 km2). Wetland, woodland and grassland maintained a steady growth trend. During these two decades, the ESV in Shanghai decreased from 322.8417 million yuan to 311.8970 million yuan. In terms of the spatial distribution of LUCC and ESV, coastal areas had the most frequent occurrence of LUCC and contributed the most to the ESV. The multi-scenario simulation results showed that there was a significant improvement in the ESV of the ecological priority scenario (2.01% and 4.06% higher than the benchmark scenario and development priority scenario, respectively). In addition, several policy recommendations for the development and utilization of land in coastal cities are proposed, and the significant contribution of coastal areas to the ecological benefits of coastal cities is empirically demonstrated. These results can provide a theoretical basis and decision support for sustainable land management in coastal cities. • Ecological service values (ESVs) of Shanghai, China are assessed from 2000 to 2020. • The characteristics of land use/cover change (LUCC) and ESVs are analyzed. • Simulations of LUCC and ESV in 2030 are conducted based on different scenarios. • Coastal areas have the highest incidence of LUCC and contribute the most to ESV. • The ecological priority strategy can effectively limit the reduction of ESV. [ABSTRACT FROM AUTHOR]

Background: Lifestyle behaviors significantly impact health, yet remain poorly defined in Chinese rural-to-urban migrants. Methods: In a cross-sectional study of health-related behaviors of 5484 rural-to-urban migrants who had worked in Shanghai for at least six months, we assessed the contribution of demographics and physical and mental health to lifestyle behaviors in male and female participants by multiple stepwise cumulative odds logistic regression. Results: Respondents were 51.3% male. 9.9% exhibited abnormal blood pressure; 27.0% were overweight or obese; 11.2% reported abnormal mental health; 36.9% reported healthy lifestyle. Multiple stepwise cumulative odds logistic regression indicated that men working in manufacturing reported less unhealthy lifestyle than those in hospitality (cumulative odds ratio (COR) = 1.806, 95%CI 1.275–2.559) or recreation/leisure (COR = 3.248, 95%CI 2.379–4.435); and women working in manufacturing and construction reported less unhealthy lifestyle than those in all other sectors. Unhealthy lifestyle was associated with small workplaces for men (COR = 1.422, 95%CI 1.154–1.752), working more than 8 or 11 hours per day for women and men, respectively, and earning over 3500 RMB in women (COR = 1.618, 95%CI 1.137–2.303). Single women and women who had previously resided in three or more cities were more likely to report unhealthy lifestyle (COR = 2.023, 95%CI 1.664–2.461, and COR = 1.311, 95%CI 1.072–1.602, respectively). Abnormal mental status was also correlated with unhealthy lifestyle in men (COR = 3.105, 95%CI 2.454–3.930) and women (COR = 2.566, 95%CI 2.024–3.252). Conclusions: There were different risk factors of unhealthy lifestyle score in male and female rural-to-urban migrants, especially in number of cities experienced, salary, marital status, work place scale. Several demographic groups: employment sectors (e.g. hospitality and recreation/leisure), working conditions (e.g. long hours) and abnormal mental status were associated with unhealthy lifestyle behaviors in Chinese rural-to-urban migrants, and health interventions should be targeted to these groups. [ABSTRACT FROM AUTHOR]