Public transport plays an important role in the environment. This study established a Spatial Computable General Equilibrium (SCGE) model to examine the economic and environmental effects of public transport subsidy policies. The model includes firms, consumers, and traffic modules in one framework. Statistical data from Beijing were used in calibration to obtain benchmark equilibrium. Based on the equilibrium, simulations compared citywide social welfare, jobs-housing spatial population distribution, and environmental outputs under four subsidy policies: fare subsidy, cash grants, road expansion, and public transport speedup. Based on the results regarding the effects of public transport policies, conclusions can be drawn about which policies will have greater overall social influence and should therefore be used.

objective National averages obscure geographic variation in program performance. We determined Parliamentary Constituency (PC)-wise estimates of TB notification to guide political engagement.methods We extracted district-level TB notification data from the 2018 annual TB report. We derived PC-level estimates by building a 'cross-walk' between districts and PCs using boundary shapefiles. We described the spatial distribution of the PC-wise estimates of Total Notification Rate and percentage of Private Sector Notification.results The median PC-wise Total Notification Rate was 126.24/100 000 (IQR: 94.86/100 000, 162.22/100 000). The median PC-wise Percentage Private Sector Notification was 18.03% (IQR: 9.56%, 26.84%). Only 16 (2.94%) PCs met the target of 50% private sector notification. Most of high notification rates in PCs were driven by high notification in public sector. There was geographic both interstate and within state inter-PCvariation in the estimates of these indicators. The study identified some geographic patterns of notificationhigh positive outlier PCs with adjoining PCs in lower deciles of notification rates, intra-state differences in PC performance, and similarities in notification rates of adjoining PCs in different states.conclusion In addition to regional inequality, the study identified geospatial patterns that can aid in the formulation of suitable interventions. These include decongestion of overburdened facilities by strengthening poorly performing units. The PCs with a high percentage Private Sector Notification can act as role models for neighbouring PCs to improve private sector engagement. MPs can play a crucial role in mobilising additional resources, creating awareness, and establishing inter-PC and inter-state collaboration to improve TB program performance.

Abstract-

Based on an example of a project in Tangshan, the high-rise buildings are built in karst area and mined out affected area which is treated by high pressure grouting, and foundation is adopted the form of pile raft foundation. By long-term measured settlement of high-rise buildings, It is found that foundation settlement is linear increase with the increase of load before the building is roof-sealed, and the settlement increases slowly after the building is roof-sealed, and the curve tends to converge, and the foundation consolidation is completed. The settlement of the foundation is about 80% -84% of the total settlement before the building is roof-sealed. Three layer BP neural network model is used to predict the settlement in the karst area and mined affected area. Compared with the measured data, the relative difference of the prediction is 0.91% -2.08% in the karst area, and is 0.95% -2.11% in mined affected area. The prediction results of high precision can meet the engineering requirements.

As a three-dimensional system with length, width and depth, the foundation pit is bound to have a pit angle effect. At present, the study of the foundation pit angle effect focuses on the influence of the “deep” of the foundation pit, while ignoring the analysis of the “wide”. In this paper, the relationship between the length of the adjacent edge of the foundation pit and the foundation pit angle effect is analyzed by using the flac3d finite difference software. It is found that the ratio of the adjacent length to the depth does not change the functional relationship between the influence coefficient of the foundation pit angle effect and the ratio of the foundation pit angle distance to the foundation pit edge length. When the ratio of the length of the adjacent side to the depth of the foundation pit is less than or equal to 7, the influence coefficient of the foundation pit angle effect increases linearly with the ratio of the length of the adjacent side to the depth of the foundation pit. When the ratio of the length of the adjacent side to the depth of the foundation pit is more than 7, the influence coefficient of the foundation pit angle effect is a fixed constant. Finally, the rationality of the research results is verified by engineering examples.

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