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Against the backdrop of urban sustainable development around the world, how to coordinate both economic growth and ecological benefits in urban space becomes an important problem. Therefore, this study simulated and predicted the spatiotemporal changes in urban economy and ecosystem service value (E.S.V.) equivalent ratio under the current policies by 2030, and analysed how adjusting planning policies influences economy and ecology. This process was based on the future land use simulation (F.L.U.S.) model of coupled neural network, and on methods assessing the spatial changes in ecosystem services and land economy. This study aims to analyse urban land economy and E.S.V., and assess how China's land spatial planning guides and promotes high-quality urban economic development. Results show that artificial intelligence (A.I.) simulation can forecast the results of spatial planning policies of national lands, to make policy-making more forward-looking. The guidance of planning policies on urban expansion accelerates the increase in economic value of urban residential and commercial lands, thereby promoting the economic growth. However, adjusted planning policies may lead to ecological destruction. So, this study provides model verifications and path guidance to realise coordinated sustainable development between economy and ecology, serving as an important reference to formulating proper policies for urban development. [ABSTRACT FROM AUTHOR]

To clear the influence rule that the spatial pattern process of thermal comfort degree affected by urban heat island, and to provide theoretical support to the reasonable layout of city space, this paper constructed the criteria for the classification of thermal comfort degree affected by surface heat island effect, adopted the same phase of TM remote sensing data and ground measured data at the same time based on human comfort and human physiological reaction for the environment temperature. Utilizing the landscape pattern index evaluation method, this paper analyzed the urban heat island effect in downtown Tianjin from 1992 to 2011. The results show that, first, the space area is expanding of the thermal comfort degree affected, and the impact intensity is rising; second, for the secondary thermal comfort degree affected regions, the largest patch area is decreasing, but the total area is increasing; third, for the third and fourth thermal comfort degree affected regions which cause people feel discomfortable, patch classes area, the largest patch area, patch density are rising, indicating the heat island effect on the thermal comfort in the continuing deterioration; fourth, the fragmentation of heat island landscape patch, the mixture of patch types, the reduction of connectivity among strong heat island areas can weaken the impact of the urban heat island effect on thermal comfort; fifth, although saving land, high-rise residential building will increase the total area of deteriorating thermal comfort and make the local thermal comfort affected by super grade. [ABSTRACT FROM AUTHOR]

Background: Urban heat island (UHI) is being intensified with the progress of urbanization. Meanwhile, respiratory diseases caused by high temperature become common. This study explores the influences of UHI on respiratory diseases (J00-J99) and the evolutionary characteristics of the spatial pattern of such influences., Methods: The pattern-process-function and the influencing mechanism of UHI on respiratory diseases were evaluated through landscape pattern indexes from 1992 to 2018 in Tianjin, China. The basis was on data from Landsat TM/OLI/TIRS remote-sensing images, meteorological stations, and mortality of respiratory diseases., Results: The fluctuating influence of UHI on the respiratory diseases in Tianjin has increased from 1992 to 2018, showing a significant phase-based characteristic. During 2011-2018, the influence has soared greatly, and mortality risk has increased by 101%, and the influenced area has reached 349 km 2 . Furthermore, the regional space clustered, and the influenced patches are in irregular shape, and the highly influenced area is enlarged. Moreover, the indexes of the landscape level of the influenced areas all decrease. The patches at all levels are fragmented and distributed discontinuously. Spatially, the influenced areas gradually extend from the urban center to the suburbs., Conclusion: UHI causes a higher mortality of respiratory diseases because it increases daily average air temperature in summer. With respect to landscape pattern, the influenced areas at low level is highly interconnected and relatively concentrated, whereas the influenced area at high level is distributed in clusters. In general, the influenced area is fragmented and discontinuously distributed in urban center., Competing Interests: Conflict of interests The authors declare that there is no conflict of interests., (Copyright© Iranian Public Health Association & Tehran University of Medical Sciences.)