摘要：
The relationship between labor migration and the medical benefits of migrant children (MC) has long been a focus of empirical research. Based on the dynamic monitoring data of the migrant population in Hubei Province by the National Health and Family Planning Commission of China in 2014 and the characteristic data of prefecture-level cities, this paper studies the impact of labor migration on the medical benefits of MC. The major findings of this paper are that in China, due to the huge spatial differences in medical services, the migration of labor to urban areas with better public services helps to improve the medical benefits of women during pregnancy and lying-in period, and at the same time significantly enhances the medical benefits of the MC. In contrast, due to the relative lag of the reform in social security system such as household registration and medical care, in the long run, labor migration is not conducive to the improvement of the medical benefits of MC. Based on the above findings, this paper suggests that in the short-term, more public resources should be allocated to the urban medical supply, especially at the primary level, and in the long-term, the adjustment of public policies should be aimed at eliminating urban-rural differences.
作者：
Zhang, Zuo;Xiao, Yangxiong;Luo, Xiang*;Zhou, Min
期刊：
Growth and Change,2020年51(1):505-529 ISSN：0017-4815
通讯作者：
Luo, Xiang
作者机构：
[Luo, Xiang; Zhang, Zuo] Cent China Normal Univ, Coll Publ Adm, Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.;[Xiao, Yangxiong] China Elect Opt Valley Union Inst Architectural D, BIM Dept, Wuhan, Hubei, Peoples R China.;[Zhou, Min] Huazhong Univ Sci & Technol, Coll Publ Adm, Wuhan, Hubei, Peoples R China.
通讯机构：
[Luo, Xiang] C;Cent China Normal Univ, Coll Publ Adm, Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.
摘要：
<jats:title>Abstract</jats:title><jats:p>With the development and popularity of mobile Internet technology, data sources of human activity in urban centers are rapidly updated and play an important role in supporting urban planning and management. Therefore, it is critical to integrate different data sources and detect spatially implicit information in the spatial pattern of relationships between urban human activity and related geographical factors. A new analytical framework is first proposed to integrate multisource location‐based big data and use these data to analyze dynamic real‐time human activity density (HAD). Taking Wuhan, the largest city in central China as an example, using the Baidu’s thermal data, this paperanalyzes spatiotemporal characteristics of HAD distributions at different points on weekends and weekdays, and further combines the relevant cities’ points of interest data to analyze the correlations between different spatial elements and HAD distributions. The results show that: (a) Using a new indicator and data processing method can simply achieve effective utilization of Baidu’s thermal data; (b) Combined with standardized grids, spatial density estimation can match the two different data sources in this study; (c) The greater the HAD, the greater is the elasticity of change, and in the active population area, the densities of human activity on weekends and weekdays at different times have significant differences; and (d) Different geographically weighted regression models effectively distinguish the influence of different urban elements on weekdays and weekends. In particular, the impact patterns of the workplace, education, and cityscape reflect the unique spatial patterns of research cases. These findings, as well as visual analytics, help in the understanding of the potential value of Baidu heatmaps in urban study and provide support for more scientific and accurate urban planning and space management for the better consideration of real‐time changes in human activity.</jats:p>
作者：
Zhang, Zuo;Li, Jiaming;Luo, Xiang*;Li, Chongming;Zhang, Lu
期刊：
Land Use Policy,2020年92:104479 ISSN：0264-8377
通讯作者：
Luo, Xiang
作者机构：
[Luo, Xiang; Zhang, Lu; Li, Jiaming; Zhang, Zuo; Li, Chongming] Cent China Normal Univ, Coll Publ Adm, Luoyu Rd, Wuhan 430079, Peoples R China.
通讯机构：
[Luo, Xiang] C;Cent China Normal Univ, Coll Publ Adm, Luoyu Rd, Wuhan 430079, Peoples R China.
关键词：
developing world;ecosystem service;land use planning;open space;urban policy;China;Hubei;Wuhan
摘要：
Possessing ecological service functions, as well as social and economic values, urban lakes are an important part of urban open spaces. The improvement in the openness of urban lakes is crucial to enhancing the efficiency and fairness of urban land use. Accompanied by China's rapid urbanization, China's urban land prices continue to rise and the government relies on land finance. Meanwhile, the number of urban lakes is decreasing, the lake water surface area is shrinking, and water pollution is becoming more serious. By using exploratory indicators, this study quantifies the degree of openness of urban lakes, and focuses on the relationship between lake spatial openness and neighboring land prices. Taking Wuhan (China) as a study case, we proposed a conceptual framework to guide the analysis within the context of land use policy. Then, we created exploratory indicators to quantify the spatial openness of urban lakes and mapped the results. Afterward, we conducted an exploratory geovisual analytics of urban land prices and lake spatial openness. Finally, we used a regression model to examine the relationship between prices and openness. Our results show that our new indicators were able to reflect the openness of the lakes in the central urban area of Wuhan simply and effectively. The overall spatial openness is relatively high, the mean values of two main indicators reflecting the openness percentage of the lakes are 69.91 % and 67.57 % respectively. However, there are still obvious regional differences between the openness indicators. The relationship between openness and neighboring land prices is spatially heterogeneous. Based on our analysis, we finally propose policy suggestions for protecting urban lakes and rational land use in the rapid urban expansion occurring in developing countries.
作者：
Luo Xiang;Ao Xinhe;Zhang Zuo;Wan Qing*;Liu Xingjian
期刊：
地理学报：英文版,2020年30(4):535-552 ISSN：1009-637X
通讯作者：
Wan Qing
作者机构：
[Zhang Zuo; Ao Xinhe; Luo Xiang] Cent China Normal Univ, Coll Publ Adm, Wuhan 430079, Peoples R China.;[Wan Qing] Wuhan Inst Technol, Sch Management, Wuhan 430205, Peoples R China.;[Liu Xingjian] Univ Hong Kong, Dept Urban Planning & Design, Hong Kong 999077, Peoples R China.
关键词：
Yangtze River Economic Belt;carbon emissions;cultivated land use efficiency;Tobit model
摘要：
In this study, the carbon emissions (CEs) from cultivated land (CL) were included as an undesirable output in the utilization efficiency of such land. A slack-based model was used to calculate the CL use efficiency (CLUE) for 11 provinces and cities in the Yangtze River Economic Belt (YREB) from 2007 to 2016, and then a kernel density estimation map was drawn to analyze the spatiotemporal variations of CLUE. The Tobit model was also employed to analyze the factors affecting the CLUE. The results show the following. 1) In the YREB, the CEs from CL showed a rising and then a slowly decreasing trend. In this paper, we calculate CEs by carbon emission factors and major carbon sources, and the CEs from CL in the YREB totaled 25.2354 million tons in 2007. By 2014, the value had increased gradually to 28.4400 million tons, and by 2016 it had declined to 27.8922 million tons, suggesting that the carbon-emission reduction measures of the government had an impact. 2) The CLUE of various provinces and cities in the YREB showed an upward trend in the time dimension, while for the spatial dimension, the kernel density was high in the east and low in the west, and the areas with high kernel density were mainly located in the Yangtze River Delta. 3) The per capita gross domestic product, the primary industrial output, and the number of agricultural technicians per 10,000 people had positive effects on the CLUE. The CL area per capita and the electrical power per hectare for agricultural machinery had significant negative impacts on CLUE. In addition, every 1% increase in the number of agricultural technicians increased the CLUE by 0.057%.
期刊：
PHYSICS AND CHEMISTRY OF THE EARTH,2019年110:125-132 ISSN：1474-7065
通讯作者：
Jin, Gui
作者机构：
[Chen, Kunlun; Liu, Xiaoqiong; Guo, Yuqi] China Univ Geosci, Sch Phys Educ, Wuhan 430074, Hubei, Peoples R China.;[Liu, Xiaoqiong; Guo, Yuqi] Hubei Univ, Fac Resources & Environm Sci, Wuhan 430062, Hubei, Peoples R China.;[Jin, Gui] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Hubei, Peoples R China.;[Zhang, Zuo] Cent China Normal Univ, Coll Publ Adm, Wuhan 430079, Hubei, Peoples R China.
通讯机构：
[Jin, Gui] C;Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
关键词：
Yangtze river economic zone;Wastewater discharge;Spatial-temporal pattern;LMDI
摘要：
This study uses Exploratory Spatial Data Analysis (ESDA) method and Logarithmic Mean Divisia Index (LMDI) model to analyze and discuss the Spatial-temporal pattern as well as the dominant driving factors of wastewater discharge in Yangtze River Economic Zone from 2002 to 2015. The paper indicates that: (1) In terms of the spatial-temporal pattern, the amount of wastewater discharge in Yangtze River Economic Zone shows an increase trend from 2002 to 2005, and then put up a decline trend between 2005 and 2015. Referring to the spatial characteristics, firstly, the amount of wastewater discharge increases from upstream to downstream. There are few high discharge cities whereas more low and middle discharge cities. Secondly, a certain amount of wastewater discharge transfers from the downstream to the midstream and upstream, and the wastewater discharge in mountainous area is lower than other regions. (2) In terms of the change of spatial relationship among cities in the research area, the wastewater discharge shows a significant spatial agglomeration. High discharge cities are concentrated in the Yangtze river delta and low discharge cities are distributed in underdeveloped areas in the western part of China, especially the tourism-oriented cities. (3) In terms of the driving factors, the technical improvement effect did a negative contribution and controlled the amount of wastewater discharge, whereas the industrial structure effect did a positive or a negative contribution depend on the policy and market. The economy development effect, which was one of the dominant factors, did a positive contribution to the amount of wastewater discharge. Moreover, the population scale effect did a positive contribution to the wastewater discharge, but the impact is not significant.
作者机构：
College of Public Administration, South-Central University for Nationalities, Wuhan, China;Research Center of Hubei Ethnic Minority Areas Economic and Social Development, South-Central University for Nationalities, Wuhan, China;[Min Zhou; Shukui Tan; Lu Zhang; Aiping Deng; Zhuoma Cairen] College of Public Administration, Huazhong University of Science and Technology, Wuhan, China;[Chunxia Cao] Hubei Biopesticide Engineering Research Center, Wuhan, China;[Yan Song] The Department of City and Regional Planning, The University of North Carolina at Chapel Hill, Chapel Hill, USA
通讯机构：
[Min Zhou] C;[Chunxia Cao] H;College of Public Administration, Huazhong University of Science and Technology, Wuhan, China<&wdkj&>Hubei Biopesticide Engineering Research Center, Wuhan, China
作者机构：
[Lu, Xinhai; Luo, Xiang; Zhang, Zuo; Kuang, Bing] Cent China Normal Univ, Coll Publ Adm, Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.;[Lu, Xinhai; Zhou, Min] Huazhong Univ Sci & Technol, Coll Publ Adm, Wuhan 430074, Hubei, Peoples R China.;[Song, Yan] Shenzhen Univ, Sch Architecture & Urban Planning, Shenzhen 518060, Peoples R China.;[Song, Yan] Univ N Carolina, Dept City & Reg Planning, Chapel Hill, NC 27599 USA.
通讯机构：
[Luo, Xiang] C;[Song, Yan] S;[Song, Yan] U;Cent China Normal Univ, Coll Publ Adm, Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.;Shenzhen Univ, Sch Architecture & Urban Planning, Shenzhen 518060, Peoples R China.
关键词：
housing price;spatial morphology;urban spatial structure;digital elevation model (DEM);geo-visual analytics
摘要：
<jats:p>In a city, housing price varies with location. Thus, housing price plays an important role in detecting the spatial pattern of the city. Spatial interpolation methods have been widely used for simulating and predicting urban housing prices. In this paper, the Ordinary Kriging interpolation method is used for producing the digital elevation model (DEM) of urban housing prices. Based on the three-dimensional DEM of urban housing price, this paper develops a novel approach for geo–visual analytics of urban housing prices. To investigate and visualize the spatial morphology of housing price, we design the Water-flooding, Section-cutting and Belt-floating methods, and implement these methods with the 3D-analyst module in GIS environment. Then, we take Wuhan City as a case, apply this approach to analyze the complex spatial morphologic characteristics of the DEM for housing price and visualize the results from the multidimensional perspectives. The results show that the Water-flooding method effectively supports the investigation of the top areas of surface changes; Section-cutting method performs well in examining the profile or cross-section of the urban housing surface; and Belt-floating method is helpful for detecting the spatial variance of the urban housing surface through the routes of specific lines. The results demonstrate that the proposed approach works better than traditional methods in describing the complex spatial morphology of urban housing prices, and has an advantage in visualizing the analysis results.</jats:p>
