World Bank Document
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Spatial-Temporal Features of Wuhan Urban Agglomeration Regional Development Pattern—Based on DMSP/OLS Night Light Data
Journal of Building Construction and Planning Research, 2017, 5, 14-29 http://www.scirp.org/journal/jbcpr ISSN Online: 2328-4897 ISSN Print: 2328-4889 Spatial-Temporal Features of Wuhan Urban Agglomeration Regional Development Pattern—Based on DMSP/OLS Night Light Data Mengjie Zhang1*, Wenwei Miao1, Yingpin Yang2, Chong Peng1, Yaping Huang1 1School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan, China 2Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China How to cite this paper: Zhang, M.J., Miao, Abstract W.W., Yang, Y.P., Peng, C. and Huang, Y.P. (2017) Spatial-Temporal Features of Wu- Based on the night light data, urban area data, and economic data of Wuhan han Urban Agglomeration Regional De- Urban Agglomeration from 2009 to 2015, we use spatial correlation dimen- velopment Pattern—Based on DMSP/OLS sion, spatial self-correlation analysis and weighted standard deviation ellipse Night Light Data. Journal of Building Con- struction and Planning Research, 5, 14-29. to identify the general characteristics and dynamic evolution characteristics of https://doi.org/10.4236/jbcpr.2017.51002 urban spatial pattern and economic disparity pattern. The research results prove that: between 2009 and 2013, Wuhan Urban Agglomeration expanded Received: February 3, 2017 Accepted: March 5, 2017 gradually from northwest to southeast and presented the dynamic evolution Published: March 8, 2017 features of “along the river and the road”. The spatial structure is obvious, forming the pattern of “core-periphery”. The development of Wuhan Urban Copyright © 2017 by authors and Agglomeration has obvious imbalance in economic geography space, pre- Scientific Research Publishing Inc. -
An Improved Evaluation Scheme for Performing Quality Assessments of Unconsolidated Cultivated Land
sustainability Article An Improved Evaluation Scheme for Performing Quality Assessments of Unconsolidated Cultivated Land Lina Peng 1,2, Yan Hu 2,3, Jiyun Li 4 and Qingyun Du 1,5,6,* 1 School of Resource and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China; [email protected] 2 Wuhan Hongfang Real Estate & Land Appraisal. Co, Ltd., Room 508, District, International Headquarters, Han Street, Wuchang District, Wuhan 430061, China; [email protected] 3 School of Logistics and Engineering Management, Hubei University of Economics, 8 Yangqiao Lake Road, Canglongdao Development Zone, Jiangxia District, Wuhan 430205, China 4 School of Urban and Environmental Sciences, Central China Normal University, 152 Luoyu Road, Wuhan 430079, China; [email protected] 5 Key Laboratory of GIS, Ministry of Education, Wuhan University, 129 Luoyu Road, Wuhan 430079, China 6 Key Laboratory of Digital Mapping and Land Information Application Engineering, National Administration of Surveying, Mapping and Geo-information, Wuhan University, 129 Luoyu Road, Wuhan 430079,China * Correspondence: [email protected]; Tel.: +86-27-6877-8842; Fax: +86-27-6877-8893 Received: 5 June 2017; Accepted: 21 July 2017; Published: 27 July 2017 Abstract: Socioeconomic factors are extrinsic factors that drive spatial variability. They play an important role in land resource systems and sometimes are more important than that of the natural setting. The study aims to build a comprehensive framework for assessing unconsolidated cultivated land (UCL) in the south-central and southwestern portions of Hubei Province, China, which have not experienced project management and land consolidation, to identify the roles of natural and especially socioeconomic factors. -
WHO-Convened Global Study of Origins of SARS-Cov-2: China Part
WHO-convened Global Study of Origins of SARS-CoV-2: China Part Joint WHO-China Study 14 January-10 February 2021 Joint Report 1 LIST OF ABBREVIATIONS AND ACRONYMS ARI acute respiratory illness cDNA complementary DNA China CDC Chinese Center for Disease Control and Prevention CNCB China National Center for Bioinformation CoV coronavirus Ct values cycle threshold values DDBJ DNA Database of Japan EMBL-EBI European Molecular Biology Laboratory and European Bioinformatics Institute FAO Food and Agriculture Organization of the United Nations GISAID Global Initiative on Sharing Avian Influenza Database GOARN Global Outbreak Alert and Response Network Hong Kong SAR Hong Kong Special Administrative Region Huanan market Huanan Seafood Wholesale Market IHR International Health Regulations (2005) ILI influenza-like illness INSD International Nucleotide Sequence Database MERS Middle East respiratory syndrome MRCA most recent common ancestor NAT nucleic acid testing NCBI National Center for Biotechnology Information NMDC National Microbiology Data Center NNDRS National Notifiable Disease Reporting System OIE World Organisation for Animal Health (Office international des Epizooties) PCR polymerase chain reaction PHEIC public health emergency of international concern RT-PCR real-time polymerase chain reaction SARI severe acute respiratory illness SARS-CoV-2 Severe acute respiratory syndrome coronavirus 2 SARSr-CoV-2 Severe acute respiratory syndrome coronavirus 2-related virus tMRCA time to most recent common ancestor WHO World Health Organization WIV Wuhan Institute of Virology 2 Acknowledgements WHO gratefully acknowledges the work of the joint team, including Chinese and international scientists and WHO experts who worked on the technical sections of this report, and those who worked on studies to prepare data and information for the joint mission. -
Comparing Chinese and United States Lake Management and Protection As Shared Through a Sister Lakes Program
Comparing Chinese and United States lake management and protection As shared through a sister lakes program Lake Pepin, Minnesota Liangzi Lake, Hubei Province Minnesota Pollution May 2016 Control Agency Authors Steven Heiskary Research Scientist III Water Quality Monitoring Unit Minnesota Pollution Control Agency, Zhiquan Chen Manager Hubei Province Department of Environmental Protection Yiluan Dong Environmental Protection Engineer Hubei Province Department of Environmental Protection Review Pam Anderson Water Quality Monitoring Unit Minnesota Pollution Control Agency Authors Steven Heiskary, Research Scientist III, Water Quality Monitoring Unit, Minnesota Pollution Control Agency Zhiquan Chen, Manager, Hubei Province Department of Environmental Protection Yiluan Dong, Registered Environmental Protection Engineer, Hubei Academy of Environmental Sciences, China Review Pam Anderson, Water Quality Monitoring Unit, Minnesota Pollution Control Agency Editing and graphic design Theresa Gaffey & Paul Andre Minnesota Pollution Control Agency 520 Lafayette Road North | Saint Paul, MN 55155-4194 | | 800-657-3864 | Or use your preferred relay service. [email protected] 651-296-6300 | This report is available in alternative formats upon request, and online at www.pca.state.mn.us. Document number: wq-s1-91 Contents Abstract ........................................................................................................................................................ 1 Introduction ........................................................................................................................................................ -
How Leisure Venues Are and Why? a Geospatial Perspective in Wuhan, Central China
Article How Leisure Venues Are and Why? A Geospatial Perspective in Wuhan, Central China Yaolin Liu 1,2,3,†, Ying Jing 1,*,†, Enxiang Cai 1, Jiaxing Cui 4, Yang Zhang 1 and Yiyun Chen 1,2,3,* 1 School of Resource and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China; [email protected] (Y.L.); [email protected] (E.C.); [email protected] (Y.Z.) 2 Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, 129 Luoyu Road, Wuhan 430079, China 3 Collaborative Innovation Center for Geospatial Information Technology, Wuhan University, 129 Luoyu Road, Wuhan 430079, China 4 School of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China; [email protected] * Correspondence: [email protected] (Y.J.); [email protected] (Y.C.); Tel.: +86-159-2737-0373 (Y.J.); +86-15171509047 (Y.C.) † These authors contributed equally to this work. Received: 9 August 2017; Accepted: 12 October 2017; Published: 17 October 2017 Abstract: Urban leisure venues proffer spatial carriers for citizens’ leisure activities and their functions rely heavily on the spatial configuration, which have largely been ignored. The increasing needs for healthy leisure life and the availability of geospatial open data provide a rising opportunity to fill this gap. To examine the spatial distribution of leisure venues and explore its underlying dominating factors, we adopt geospatial analysis techniques—point pattern analysis and cluster analysis with multi-sources geospatial data in Wuhan, Central China. Results conclude interesting spatial discrepancy based on a three-level clustered pattern of 86520 leisure venues. -
The Spatial Effect of Administrative Division on Land-Use Intensity
land Article The Spatial Effect of Administrative Division on Land-Use Intensity Pengrui Wang 1, Chen Zeng 1,*, Yan Song 2, Long Guo 3, Wenping Liu 4 and Wenting Zhang 3 1 Department of Public Management-Land Management, Huazhong Agricultural University, Wuhan 430070, China; [email protected] 2 Department of City and Regional Planning, University of North Carolina-Chapel Hill, Chapel Hill, NC 27599, USA; [email protected] 3 Department of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China; [email protected] (L.G.); [email protected] (W.Z.) 4 College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China; [email protected] * Correspondence: [email protected]; Tel.: +86-132-9668-3817 Abstract: Land-use intensity (LUI) is one of the most direct manifestations of regional land use efficiency. The study of cross-administrative LUI in urban agglomerations is of great importance for the sustainable development of land, new urbanization, and territorial spatial planning. In this study, the urban agglomeration in the middle reaches of the Yangtze River in China was used as the case study area to explore the spatial spillover effect through the administrative division, underlying driving mechanism, and spatial interactions or constraints of LUI. First, LUI was measured using the index of the proportion of construction land to the total area of the administrative region. Second, the adjacency relationship of the county-level administrative units was identified on the basis of the queen-type adjacency criterion under the county-level administrative division system. Thereafter, spatial weight matrix for spatial modeling was constructed. -
Exploring the Spatial Pattern of Urban Block Development Based on POI Analysis: a Case Study in Wuhan, China
sustainability Article Exploring the Spatial Pattern of Urban Block Development Based on POI Analysis: A Case Study in Wuhan, China Hailing Xu, Jianghong Zhu * and Zhanqi Wang School of Public Administration, China University of Geosciences, Wuhan 430074, China; [email protected] (H.X.); [email protected] (Z.W.) * Correspondence: [email protected]; Tel.: +86-1339-715-7676 Received: 3 November 2019; Accepted: 4 December 2019; Published: 6 December 2019 Abstract: As a kind of geospatial big data, point of interest (POI) with useful information has become a hot research topic. Compared with traditional methods, big data has great potential in developing a more accurate method for identifying the urban spatial pattern. This paper uses diversity index and kernel density analysis of POI data on several types of urban infrastructure to investigate the identification of urban block development stages in Wuhan, and divides them into the primary, growth, and mature stage. Its accuracy is verified by exploring urban micro-centers. Results show that: (1) the spatial pattern of urban blocks in Wuhan presents the distribution of “mature blocks concentrated like a core, growth blocks distributed like two wings, and primary blocks with wide range distributed surround”; (2) areas with more connected construction land and streets with better socio-economic status tend to have a higher level of maturity, vice versa; (3) balancing the number of micro-centers at different stages is beneficial to promote the flattened urban development of Wuhan in the future. The research proves that this method is feasible, and it is also applicable to the study of urban spatial pattern in other cities. -
Spatial Statistics and Influencing Factors of the Novel Coronavirus
Spatial statistics and inuencing factors of the novel coronavirus pneumonia 2019 epidemic in Hubei Province, China Yongzhu Xiong ( [email protected] ) Institute of Resources and Environmental Informatics Systems, Jiaying University https://orcid.org/0000-0002-4417-6409 Yunpeng Wang Guangzhou Institute of Geochemistry, Chinese Academy of Sciences Feng Chen College of Computer and Information Engineering, Xiamen University of Technology Mingyong Zhu Institute of Resources and Environmental Informatics Systems, Jiaying University Research Article Keywords: novel coronavirus pneumonia (NCP), spatial autocorrelation, inuencing factor, spatial statistics, Wuhan Posted Date: April 6th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-16858/v2 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Version of Record: A version of this preprint was published on May 31st, 2020. See the published version at https://doi.org/10.3390/ijerph17113903. Page 1/25 Abstract An in-depth understanding of the spatiotemporal dynamic characteristics of infectious diseases could be helpful for epidemic prevention and control. Based on the novel coronavirus pneumonia (NCP) data published on ocial websites, GIS spatial statistics and Pearson correlation methods were used to analyze the spatial autocorrelation and inuencing factors of the 2019 NCP epidemic from January 30, 2020 to February 18, 2020. The following results were obtained. (1) During the study period, Hubei Province was the only signicant cluster area and hotspot of cumulative conrmed cases of NCP infection at the provincial level in China. (2) The NCP epidemic in China had a very signicant global spatial autocorrelation at the prefecture-city level, and Wuhan was the signicant hotspot and cluster city for cumulative conrmed NCP cases in the whole country. -
Distribution of COVID-19 Morbidity Rate in Association with Social and Economic Factors in Wuhan, China: Implications for Urban Development
International Journal of Environmental Research and Public Health Article Distribution of COVID-19 Morbidity Rate in Association with Social and Economic Factors in Wuhan, China: Implications for Urban Development Heyuan You 1,2,*, Xin Wu 1 and Xuxu Guo 1 1 School of Public Administration, Zhejiang University of Finance and Economics, Hangzhou 310018, China; [email protected] (X.W.); [email protected] (X.G.) 2 Department of City and Regional Planning, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA * Correspondence: [email protected]; Tel.: +865-7186735200 Received: 14 April 2020; Accepted: 11 May 2020; Published: 14 May 2020 Abstract: Social and economic factors relate to the prevention and control of infectious diseases. The purpose of this paper was to assess the distribution of COVID-19 morbidity rate in association with social and economic factors and discuss the implications for urban development that help to control infectious diseases. This study was a cross-sectional study. In this study, social and economic factors were classified into three dimensions: built environment, economic activities, and public service status. The method applied in this study was the spatial regression analysis. In the 13 districts in Wuhan, the spatial regression analysis was applied. The results showed that: 1) increasing population density, construction land area proportion, value-added of tertiary industry per unit of land area, total retail sales of consumer goods per unit of land area, public green space density, aged population density were associated with an increased COVID-19 morbidity rate due to the positive characteristics of estimated coefficients of these variables. -
The Epidemiological Characteristics of Deaths with COVID-19 in the Early Stage in Wuhan, China
The Epidemiological Characteristics of Deaths with COVID-19 in The Early Stage in Wuhan, China Jianjun Bai Wuhan University Fang Shi Wuhan University Jinhong Cao Wuhan University Haoyu Wen Wuhan University Fang Wang Wuhan University Sumaira Mubarik Wuhan University Xiaoxue Liu Wuhan University Yong Yu Hubei University of Medicine Jianbo Ding YEBIO Bioengineering Co. Chuanhua Yu ( [email protected] ) Wuhan University Research Keywords: COVID-19, Coronavirus Disease 2019, Wuhan city, Epidemiological characteristic, Death Posted Date: October 26th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-93945/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/18 Version of Record: A version of this preprint was published on December 21st, 2020. See the published version at https://doi.org/10.1186/s41256-020-00183-y. Page 2/18 Abstract Objectives To analyze the epidemiological characteristics of deaths of COVID-19 in Wuhan, China and understand the changing trends of the COVID-19 epidemic and the effects of prevention and control measures in Wuhan. Methods Through the China's Infectious Disease Information System, we collected deaths’ information in Wuhan. We analyzed the patient's demographic characteristics, drew epidemiological curve, made distribution map of epidemic situation, etc. @Risk for tting distribution, SPSS for statistical analysis, and ArcGIS for mapping. Results As of February 24, 2020, a total of 1833 unique deaths were extracted. Among the deaths with COVID-19, the mild type accounted for the most, 37.2%, followed by severe type, 30.1%. The median age was 70.0 (inter quartile range: 63.0-79.0) years, most of the deaths were distributed in 50-89 age group; no deaths occurred in 0-9 age group; and the male to female ratio was 1.95. -
Corporate Information
THIS DOCUMENT IS IN DRAFT FORM, INCOMPLETE AND SUBJECT TO CHANGE AND THAT THE INFORMATION MUST BE READ IN CONJUNCTION WITH THE SECTION HEADED “WARNING” ON THE COVER OF THIS DOCUMENT. CORPORATE INFORMATION Registered Office 4th Floor, Harbour Place 103 South Church Street P.O. Box 10240, Grand Cayman KY1-1002 Cayman Islands Headquarters No. 122 Guanggu Avenue Jiangxia District Wuhan, Hubei province China Principal Place of Business in [46th Floor, Hopewell Centre, Hong Kong 183 Queen’s Road East, Wanchai, Hong Kong] Company’s Website www.itumyu.com (Note: the information contained on this website does not form part of this document) Joint Company Secretaries Ms. Wang Hui (王惠) 3-4-7-1, No. 1, Second Guanshan Road Guanshan Street Hongshan District Wuhan, Hubei Province China Mr. Lee Chung Shing (李忠成) (HKICPA, ACCA) 46/F, Hopewell Centre 183 Queen’s Road East, Wan Chai Hong Kong Authorised Representatives Mr. Zhou Zhongbin (周中斌) Ruihua 2#, 100-2 Napa Valley Community Limiao Road, Ruihua Property Community Canglong Island Agency Jiangxia District Wuhan, Hubei Province China Mr. Lee Chung Shing (李忠成) (HKICPA, ACCA) 46/F, Hopewell Centre 183 Queen’s Road East, Wan Chai Hong Kong Audit Committee Mr. Yip Wei Mun (Chairman) Mr. Leng Youbin Mr. Ding Junjie Remuneration Committee Mr. Ding Junjie (Chairman) Mr. Zhou Zhongbin Mr. Yip Wei Mun –83– THIS DOCUMENT IS IN DRAFT FORM, INCOMPLETE AND SUBJECT TO CHANGE AND THAT THE INFORMATION MUST BE READ IN CONJUNCTION WITH THE SECTION HEADED “WARNING” ON THE COVER OF THIS DOCUMENT. CORPORATE INFORMATION Nomination Committee Mr. Zhou Zhongbin (Chairman) Mr. -
Study on the Level and Type Identification of Rural Development
International Journal of Geo-Information Article Study on the Level and Type Identification of Rural Development in Wuhan City’s New Urban Districts Liang Jiang 1,2, Jing Luo 1,2, Chunyan Zhang 1,2,*, Lingling Tian 1,2, Qingqing Liu 3, Guolei Chen 4 and Ye Tian 5 1 Key Laboratory of Hubei Province, Analysis and Simulation of Geographic Process, Central China Normal University, No.152 Luoyu Road, Wuhan 430079, China; [email protected] (L.J.); [email protected] (J.L.); [email protected] (L.T.) 2 The College of Urban and Environmental Sciences, Central China Normal University, No.152 Luoyu Road, Wuhan 430079, China 3 School of Tourism and Exhibition, University of Economics and Law, Zhengzhou 450046, China; [email protected] 4 School of Geographic and Environmental Sciences, Guizhou Normal University, Guiyang 550025, China; [email protected] 5 Changjiang Academy of Development and Strategy/Institute for Advanced Studies in Finance and Economics, Hubei University of Economics, Wuhan 430205, China; [email protected] * Correspondence: [email protected]; Tel.: +86-135-0717-8830 Received: 6 February 2020; Accepted: 12 March 2020; Published: 13 March 2020 Abstract: A quantitative analysis of rural development is required to comprehend the spatial differentiation of a rural area and promote rural sustainable development under the pressure of urbanization and industrialization, especially areas with dramatic changes in rural socioeconomic development of China and other developing countries. Taking Wuhan as the case study, this paper developed an index system including rural settlement, land, industry and human settlement environment for evaluating the level of rural development.