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To achieve the Paris Agreement’s goals, many cities are building satellite cities to relieve the population and environment pressure of the central city. However, past experiences showed that long-term effects of such a solution were partially limited, due to limited attention on the effects of energy consumption and carbon emissions, depending on the dynamics of population and industrial development. This paper overcomes the previous limitations, applying a Long-range Energy Alternatives Planning model to the area of Xiong’an New District, an area extending from Hebei province (China) and nearby Beijing, is planned to support the development of Beijing. The proposed model was based on three different population migration, industrial and transposition scenarios to test their impacts on urban greenhouse gas (GHG) emissions. Results show that: (1) Increased population and building area will markedly increase GHG emissions from residential consumption in Hebei province, while slightly decrease GHG emissions in Beijing. (2) Green planning, including industrial structure changes, industrial transformation, will markedly decrease the GHG emissions in Hebei provinces and it can take down for the emissions increase due to the population migration. This paper proved the effectiveness of a multi-scalar, multi-dimensional, and multi-actor modeling approach for a satellite city and new town development planning, implying that a similar approach could be applied in planning and managing the development of future satellite cities.

Local patients present with claudication or critical ischaemia; 80% of all patients with claudication are managed conservatively; 20% progress into critical ischaemia. Angioplasty is very useful for limb salvage for critical limb ischaemia. They have a high peri-procedure mortality rate which may be due to a selection bias (patients who are unfit for open bypass undergo angioplasty). There is a low peri-operative mortality trend for patients undergoing open revascularisation surgery (bias towards selecting “fit” patients to undergo bypass procedure). Peri-operative mortality for primary amputation and vascular reconstruction is almost similar. LEAP programme should be introduced to primary care physicians so that patients “at risk” are offered diabeticfoot screening early.

As the low-carbon pilot area, Hubei Province has faced tremendous pressure on GHG emissions reduction with rapid economic growth. However, Guangdong Province has balanced the economic development and energy consumption well. “Guangdong Mode” represents the reasonable industry structure, energy structure and lower energy intensity. In this paper, LEAP-Hubei model was established to predict the level of GHG emissions and energy consumption in Hubei from now to 2025. Three scenarios were set: Base Scenario, “Guangdong Mode” I and “Guangdong Mode” II. The results show that “Guangdong Mode” and The “New Normal” have a significant effect on energy consumption and GHG emissions reduction for Hubei. When “Guangdong Mode” and the “New Normal” meet in Hubei, the energy consumption and GHG emissions will reach the top.