作者机构：
[Tang, Hui; Ao, Rongjun; Shen, Xue; Shi, Guoning] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.;[Tang, Hui] Hunan City Univ, Sch Architecture & Urban Planning, Yiyang 413000, Peoples R China.;[Chen, Yun] Chengdu Univ, Sch Tourism & Culture Ind, Chengdu 610106, Peoples R China.
通讯机构：
[Yun Chen; Rongjun Ao] A;Authors to whom correspondence should be addressed.<&wdkj&>School of Tourism and Culture Industry, Chengdu University, Chengdu 610106, China<&wdkj&>Authors to whom correspondence should be addressed.<&wdkj&>College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China
关键词：
population health;economic development;coupling coordination;driving factors;China
摘要：
Promoting the coordinated development of population health and the economy is an important part of building a “Healthy China” and promoting high-quality economic development. Based on the systematic construction of the population health and economic development evaluation index system, this paper uses the coupled coordination model, geodetector, and geographically weighted regression (GWR) to comprehensively measure the population health level and economic development level at the provincial scale in China in 2000 and 2015, and reveals the spatial and temporal evolution characteristics of the coupled coordination relationship between the population health level and economic development level at the provincial scale in China from 2000 to 2015 and its driving factors. The results show the following: (1) China’s population health and economic development are in a high-level coupling stage, and the coupling level increases slightly with time; spatially, two types of running-in coupling and high-level coupling coexist; the coupling degree in the eastern and central regions tends to increase, while the coupling degree in the western region tends to weaken. (2) China’s population health and economic development are in a good coupling coordination stage as a whole, and the coupling coordination degree has an increasing trend; spatially, the coupling coordination degree shows high spatial differentiation characteristics in the east and low in the west; the good and high-quality coupling coordination type area tends to expand to the west, while the moderate coupling coordination type area tends to shrink to the west; there is also positive spatial agglomeration of coupling coordination degree, and the spatial agglomeration is gradually enhanced. (3) The coupling coordination of China’s population health and economic development is driven by multiple factors such as natural conditions, health resources, culture quality, and urbanization level; the interaction between factors is stronger than that of a single factor, and the driving effect of each factor also shows significant spatial heterogeneity. This study is intended to provide a scientific basis for promoting harmonious population health and economic development.
通讯机构：
[Jiayu Li; Zhe Li] A;Authors to whom correspondence should be addressed.<&wdkj&>School of Architecture and Art, Central South University, Changsha 410075, China
关键词：
west of Hunan;raw earth dwelling;winter thermal insulation;energy saving;CO2 emission
摘要：
This study presents the CO2 emissions and energy performance of traditional raw earth dwellings' envelope retrofitting located in the Zhushan Village, western Hunan Province, China. The numerical simulations of heating energy consumption on the building models were performed using DesignBuilder, an energy simulation program. The energy performance was evaluated using the indexes (including energy consumption, CO2 emissions, heat balance analysis, and air temperature profiles). The detailed evaluation process of the energy performance is presented as follows. First, the current situation was analyzed through the field research, and two typical building models were built. Second, all schemes were simulated using the DesignBuilder software. Subsequently, the four main retrofit measures (replacing the external insulation windows, setting the external wall insulation layer, setting the roof insulation layer, and setting the ceiling insulation layer) were analyzed, respectively. The optimal parameters of the respective retrofit measure were calculated. Lastly, a multi-objective optimization analysis was conducted on all retrofit plans using the coupling method. In the winter, the results indicated that the "I-shape" dwelling heat consumption of the enclosure structure was reduced by 12.8 kW center dot h/m(2), and the CO2 emissions were reduced by 882.8 kg. While in the benchmark building, the results showed that the "L-shape" dwelling heat consumption of the enclosure structure was decreased by 13.27 kW center dot h/m(2), and the CO2 emissions were reduced by 894.4 kg. As the renewal scheme has been progressively implemented, the whole Zhushan Village will save energy by 11.2 x 10(4) kW center dot h after the insulation renewal of the envelope structure is completed.
期刊：
ISPRS International Journal of Geo-Information,2022年11(12):613- ISSN：2220-9964
通讯作者：
Wenbo Mo
作者机构：
[Zhang, Xian; Chen, Min; Li, Maohuang; Yang, Nan] Hunan City Univ, Coll Architecture & Urban Planning, Lab Key Technol Digital Urban Rural Spatial Planni, Yiyang 413000, Peoples R China.;[Mo, Wenbo] Cent South Univ Forestry & Technol, Key Lab Forestry Remote Sensing Based Big Data & E, Changsha 410004, Peoples R China.;[Li, Feng] Chinese Acad Sci, Inst Subtrop Agr, Key Lab Agroecol Proc Subtrop Reg, Changsha 410125, Peoples R China.;[Li, Feng] Chinese Acad Sci, Inst Subtrop Agr, Dongting Lake Stn Wetland Ecosyst Res, Changsha 410125, Peoples R China.;[Gao, Wanchao] Hydrol & Water Resource Bur Hunan Prov, Changsha 410004, Peoples R China.
通讯机构：
[Wenbo Mo] K;Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security for Hunan Province, Central South University of Forestry and Technology, Changsha 410004, China<&wdkj&>Author to whom correspondence should be addressed.
作者机构：
[Tang, Hui; Xiong, Yajun; Tian, Xiaobo] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.;[Tang, Hui] Hunan City Univ, Sch Architecture & Urban Planning, Yiyang 413000, Peoples R China.
通讯机构：
[Xiaobo Tian; Hui Tang] A;Authors to whom correspondence should be addressed.<&wdkj&>School of Architecture and Urban Planning, Hunan City University, Yiyang 413000, China<&wdkj&>College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China<&wdkj&>Authors to whom correspondence should be addressed.<&wdkj&>College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China
关键词：
railroad urban network;resilience assessment;vulnerability analysis;interference resilience analysis;yellow river basin
摘要：
With the gradual networking of inter-city relations and the increase in acute impact and chronic stress, the measurement of the resilience of urban network structures is particularly prominent. Based on the construction of the urban network by passenger train trips in the Yellow River Basin, this paper analyzes and assesses the characteristics of the structural resilience of the urban network, and probes into the network resilience and urban response under the circumstances of node failure and line failure in Zhengzhou. The main conclusions are as follows: (1) The urban network in the Yellow River Basin was clearly hierarchical, with a significant spatial distribution of “low in the north and high in the south”, and the overall characteristics of “robustness” in small areas and “fragility” in large areas. The network connection forms were diversified and open. The network transmission efficiency was high, and the edge cities depended on the core cities with prominent characteristics, and the risk load of regional core cities rose. (2) The network structure was “robust” as it maintained high operational efficiency and connectivity under random attacks. Under deliberate attacks, the city network operated efficiently with a small increase in connectivity before the 60% threshold, and after the threshold, the overall network started to split into many sub-networks, and the network fragmentation gradually increased until the network collapsed. (3) Zhengzhou node failure and line failure states in the Yellow River Basin urban network were resilient, in the sense that when suffering important nodes and lines going down it could still maintain good network operation efficiency, and the core nodes in the impact of natural disasters could adapt to the destructive nature of the network through the urban network structure self-regulation.
