Pre-Miocene Birth of the Yangtze River
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Appendix 1: Rank of China's 338 Prefecture-Level Cities
Appendix 1: Rank of China’s 338 Prefecture-Level Cities © The Author(s) 2018 149 Y. Zheng, K. Deng, State Failure and Distorted Urbanisation in Post-Mao’s China, 1993–2012, Palgrave Studies in Economic History, https://doi.org/10.1007/978-3-319-92168-6 150 First-tier cities (4) Beijing Shanghai Guangzhou Shenzhen First-tier cities-to-be (15) Chengdu Hangzhou Wuhan Nanjing Chongqing Tianjin Suzhou苏州 Appendix Rank 1: of China’s 338 Prefecture-Level Cities Xi’an Changsha Shenyang Qingdao Zhengzhou Dalian Dongguan Ningbo Second-tier cities (30) Xiamen Fuzhou福州 Wuxi Hefei Kunming Harbin Jinan Foshan Changchun Wenzhou Shijiazhuang Nanning Changzhou Quanzhou Nanchang Guiyang Taiyuan Jinhua Zhuhai Huizhou Xuzhou Yantai Jiaxing Nantong Urumqi Shaoxing Zhongshan Taizhou Lanzhou Haikou Third-tier cities (70) Weifang Baoding Zhenjiang Yangzhou Guilin Tangshan Sanya Huhehot Langfang Luoyang Weihai Yangcheng Linyi Jiangmen Taizhou Zhangzhou Handan Jining Wuhu Zibo Yinchuan Liuzhou Mianyang Zhanjiang Anshan Huzhou Shantou Nanping Ganzhou Daqing Yichang Baotou Xianyang Qinhuangdao Lianyungang Zhuzhou Putian Jilin Huai’an Zhaoqing Ningde Hengyang Dandong Lijiang Jieyang Sanming Zhoushan Xiaogan Qiqihar Jiujiang Longyan Cangzhou Fushun Xiangyang Shangrao Yingkou Bengbu Lishui Yueyang Qingyuan Jingzhou Taian Quzhou Panjin Dongying Nanyang Ma’anshan Nanchong Xining Yanbian prefecture Fourth-tier cities (90) Leshan Xiangtan Zunyi Suqian Xinxiang Xinyang Chuzhou Jinzhou Chaozhou Huanggang Kaifeng Deyang Dezhou Meizhou Ordos Xingtai Maoming Jingdezhen Shaoguan -
A Simple Model to Assess Wuhan Lock-Down Effect and Region Efforts
A simple model to assess Wuhan lock-down effect and region efforts during COVID-19 epidemic in China Mainland Zheming Yuan#, Yi Xiao#, Zhijun Dai, Jianjun Huang & Yuan Chen* Hunan Engineering & Technology Research Centre for Agricultural Big Data Analysis & Decision-making, Hunan Agricultural University, Changsha, Hunan, 410128, China. #These authors contributed equally to this work. * Correspondence and requests for materials should be addressed to Y.C. (email: [email protected]) (Submitted: 29 February 2020 – Published online: 2 March 2020) DISCLAIMER This paper was submitted to the Bulletin of the World Health Organization and was posted to the COVID-19 open site, according to the protocol for public health emergencies for international concern as described in Vasee Moorthy et al. (http://dx.doi.org/10.2471/BLT.20.251561). The information herein is available for unrestricted use, distribution and reproduction in any medium, provided that the original work is properly cited as indicated by the Creative Commons Attribution 3.0 Intergovernmental Organizations licence (CC BY IGO 3.0). RECOMMENDED CITATION Yuan Z, Xiao Y, Dai Z, Huang J & Chen Y. A simple model to assess Wuhan lock-down effect and region efforts during COVID-19 epidemic in China Mainland [Preprint]. Bull World Health Organ. E-pub: 02 March 2020. doi: http://dx.doi.org/10.2471/BLT.20.254045 Abstract: Since COVID-19 emerged in early December, 2019 in Wuhan and swept across China Mainland, a series of large-scale public health interventions, especially Wuhan lock-down combined with nationwide traffic restrictions and Stay At Home Movement, have been taken by the government to control the epidemic. -
New Comprehensive Planning of Wuhan” Is Setting the Ecological Frame- Tribution Based on Six Development Velopment Pattern
252 ISOCARP | Review 06 ISOCARP | Review 06 253 Planning Area • Establishment of a livable city fo- Wuhan, capital of the Hubei province, cusing upon community construc- covers an area of 8,5 km2 and has 8.97 tion, encouraging a balance between million permanent inhabitants. It is a homes and jobs to reduce commuting central metropolis in central China. and carbon emissions • Strengthening measures for urban Background and Context sustainable development Wuhan, a nationally famous city of his- • The use of ecological methods based New Comprehensive tory and culture, major industrial, sci- on natural circulation leading toeffec- entific research and education base, tive mitigation of the urban heat is- traffic and communication terminal, land effect Planning of Wuhan will have a population of 11.8 million by 2020. Steps of the Realization Process It used to be one of the four famous In 2007, Wuhan Urban Circle was “stoves” in China because of the prob- granted the “Experimental Area for Wuhan Planning lem of urban heat island effect, with Comprehensive Reform of Two-Oriented temperatures ≥35 °C in summer. Society” status. and Design Institute, Ecological problems in the rapid ur- Thus, building a resource-efficient banization period are increasingly and environmentally- friendly eco-city prominent. The City’s water area, ar- has become a new aim for the spatial People’s Republic able land, forests and other ecological development strategy in Wuhan. This resources are being encroached upon, aim shall be met by adopting TOD Mode of China while green space in the central city for sustainable metropolitan axial ex- amounts to less than 9 m2 per capita. -
Ttc Facilitates Wtc Cooperation
| TTC REPORT | colleague Saleh Behbahani joined WTC- TTC FACILITATES WTC COOPERATION Indianapolis and Lieutenant Governor Suzanne Crouch in welcoming a trade and by Dr Tom Iseley and Saleh Behbahani, TTC at LA Tech investment delegation from WTC-Harbin to the Indiana Statehouse. The TTC has strengthened its international leadership over recent years, establishing a number of A MoU was signed by Ms Crouch, WTC-Indianapolis Chair Greg Zoeller, agreements, and the organisation’s Dr Tom Iseley participating in workshops, lectures and meetings with WTC-Indianapolis President Doris Anne other industry professionals in China. Most recently, TTC participated in a significant agreement signing Sadler and WTC-Harbin Executive Director Steven Lo, on behalf of WTC-Harbin ceremony between the two WTC brand organisations in the US and China. Chairman Hongshan Zhang. The next day, Dr Iseley and Mr Behbahani had a meeting with WTC-Indianapolis’ he Trenchless Technology Center’s Ms Sadler and Randy Marra to discuss the (TTC’s) participation in an agreement future collaboration between TTC and the signingT ceremony between two World Trade WTC-Indianapolis on underground Center (WTC) brand organisations – WTC- infrastructure technical and management Indianapolis and WTC-Harbin – reflects the solutions. growing strength of its international During the meeting, they also discussed leadership. After a Memorandum of the options for comprehensive cooperation Understanding (MoU) was signed between on other professional services provided by the the two organisations, discussions later TTC and WTC-Indianapolis. centred on the opportunities for cooperation Dr Iseley says he is very excited to see the on professional services provided by the TTC development of WTC-Indianapolis and and WTC-Indianapolis. -
Assessing Spread Risk of Wuhan Novel Coronavirus Within and Beyond China, January-April 2020: a Travel Network-Based Modelling Study
medRxiv preprint doi: https://doi.org/10.1101/2020.02.04.20020479; this version posted March 9, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license . Assessing spread risk of Wuhan novel coronavirus within and beyond China, January-April 2020: a travel network-based modelling study Shengjie Lai1,2*, Isaac I. Bogoch3, Nick W Ruktanonchai1, Alexander Watts4,5, Xin Lu6,7, Weizhong Yang8, Hongjie Yu2, Kamran Khan3,4,5, Andrew J Tatem1* 1. WorldPop, School of Geography and Environmental Science, University of Southampton, UK 2. School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China 3. Department of Medicine, University of Toronto, Toronto, Canada 4. Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada 5. Bluedot, Toronto, Canada 6. College of Systems Engineering, National University of Defense Technology, Changsha, China 7. Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden 8. Chinese Academy of Medical Sciences & Peking Union Medical College. Correspondence: Shengjie Lai ([email protected]); Andrew J Tatem ([email protected]) Running head: 2019-nCoV spread within and beyond China 1 NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. medRxiv preprint doi: https://doi.org/10.1101/2020.02.04.20020479; this version posted March 9, 2020. -
Land-Use Efficiency in Shandong (China)
sustainability Article Land-Use Efficiency in Shandong (China): Empirical Analysis Based on a Super-SBM Model Yayuan Pang and Xinjun Wang * Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China; [email protected] * Correspondence: [email protected] Received: 20 November 2020; Accepted: 14 December 2020; Published: 18 December 2020 Abstract: A reasonable evaluation of land-use efficiency is an important issue in land use and development. By using a super-SBM model, the construction and cultivated land-use efficiency of 17 cities in Shandong from 2006 to 2018 were estimated and the spatial-temporal variation was analyzed. The results showed that: (1) The land use efficiency levels were quite different, and low-efficiency cities impacted the overall development process. (2) The efficiency values of construction land generally fluctuated and rose, meaning that room remains for future efficiency improvements. Cultivated land generally showed a high utilization efficiency, but it fluctuated and decreased. (3) The construction land-use efficiency was highest in the midland region, especially in Laiwu city, followed by the eastern region and Qingdao city, and the western region. The spatial variation in cultivated land presented a trend of “high in the middle, low in the periphery,” centered on Jinan and Yantai city. (4) Pure technical efficiency was the main restriction driving inefficient utilization in the western region, while scale efficiency played that role in the east. Based on the findings, policy suggestions were proposed to improve the land-use efficiency in Shandong and promote urban sustainable development. Keywords: land use; efficiency level; super-SBM model; Shandong Province; construction land; cultivated land 1. -
Beijing Baidu Netcom Science and Technology Co., Ltd
Beijing Baidu Netcom Science and Technology Co., Ltd. v. Qingdao Aoshang Network Technology Co., Ltd. et al., An Unfair Competition Dispute Guiding Case No. 45 (Discussed and Passed by the Adjudication Committee of the Supreme People’s Court Released on April 15, 2015) CHINA GUIDING CASES PROJECT English Guiding Case (EGC45) November 15, 2015 Edition * * The citation of this translation of the Guiding Case is: 《北京百度网讯科技有限公司诉青岛奥商网络技 术有限公司等不正当竞争纠纷案》 (Beijing Baidu Netcom Science and Technology Co., Ltd. v. Qingdao Aoshang Network Technology Co., Ltd., An Unfair Competition Dispute ), CHINA GUIDING CASES PROJECT , English Guiding Case (EGC45), Nov. 15, 2015 Edition , available at http://cgc.law.stanford.edu/guiding -cases/guiding -case -45. This document was primarily prepared by Jasmine Chen, Jeffrey Chivers, Oma Lee, Jeremy Schlosser, Yifan Yang, and Shiyue Zhang. The document was finalized by Sean Webb, Jordan Corrente Beck, and Dr. Mei Gechlik. Minor editing, such as splitting long paragraphs, adding a few words included in square brackets, and boldfacing the headings to correspond with those boldfaced in the original Chinese version, was done to make the piece more comprehensible to readers. The following text, otherwise, is a direct translation of the original text and reflects the formatting of the Chinese document released by the Supreme People’s Court. The following Guiding Case was discussed and passed by the Adjudication Committee of the Supreme People’s Court of the People’s Republic of China and was released on April 15, 2015, available at http://www.chinacourt.org/article/detail/2015/04/id/1602323.shtml. See also 《最高人民法院关于发布第十批指 导性案例的通知》 (The Supreme People’s Court’s Notice Concerning the Release of the Tenth Batch of Guiding Cases ), Apr. -
Bangladesh Chittagong China Hong Kong Shenzhen
Japan Tokyo 14 Dalian Seoul 15 Yokohama 17 South 13 Tianjin 8 16 Korea 12 Osaka-wan 10 Inch'on Kobe 7 6 9 Beijing Qingdao Busan Australia Australia 34 Brisbane 34 Brisbane Australia Australia 3 Shanghai Australia Brisbane 34 34 Brisbane 34 Brisbane China Taipei Australia Brisbane 29 34 New Delhi 21 Australia Taiwan Brisbane 5 Kao-hsiung Sydney 34 Guangzhou 32 Sydney 11 Perth 32 Hong Kong 36 Adelaide 2 Perth Bangladesh 36 35 Adelaide 4 35 Shenzhen Sydney Sydney Chittagong Sydney 32 32 Nagpur 23 Perth Perth Adelaide 32 18 Perth 36 36 Adelaide Mumbai (Bombay) 20 Philippines 36 Adelaide 35 35 Manila 27 Melbourne35 India 33 Melbourne 33 Sydney 32 Perth Thailand 36 Adelaide Sydney Auckland 35 Melbourne 32 Melbourne Vietnam Perth Melbourne 33 33 37 Auckland Bangkok 30 36 Adelaide33 37 Bangalore 22 19 Chennai (Madras) 35 31 Ho Chi Minh City Auckland Auckland Auckland 37 37 Melbourne New Zealand 37 33 New Zealand Melbourne Colombo 28 Sri Lanka Main Transport Terminals Trade(import-export) value Population (million people) 33 Malaysia Connections (billion US dollars) in 2007 AucklandNew Zealand 37 New Zealand Kuala Lumpur New Zealand Road Asia Highway >1000 0 - 2 Auckland 25 Network 37 26 Port of Tanjung 1 Indonesia International Airport 500 - 1000 2 - 5 Pelepas Singapore River New Zealand Sea Harbour 100 - 500 5 - 10 New Zealand River Harbour <100 0 245 490 Miles > 10 Free Economic Zone Jakarta 24 0 245 490 KM 1. Singapore 2. Hong Kong 3. Shanghai 4. Shenzhen 5. Kaohsiung 6. Busan 7. Beijing 8. Dalian Singapore is the world’s biggest container port with yearly throughput Hong Kong is a hub port serving the South Asian Pacific region and Shanghai is the power house for the economic growth of China. -
Economic, Social, and Ecological Impact Evaluation of Traffic Network
sustainability Article Economic, Social, and Ecological Impact Evaluation of Traffic Network in Beijing–Tianjin–Hebei Urban Agglomeration Based on the Entropy Weight TOPSIS Method Liang Zhang 1,2 , Xubing Zhang 1,2,*, Shenggu Yuan 3 and Kai Wang 2,4 1 School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China; [email protected] 2 Key Laboratory of the Ministry of Natural Resources for Research on Rule of Law, Wuhan 430074, China; [email protected] 3 China Transport Telecommunications and Information Center, Beijing 100011, China; [email protected] 4 School of Geophysics and Spatial Information, China University of Geosciences, Wuhan 430074, China * Correspondence: [email protected]; Tel.: +86-189-7120-0369 Abstract: In recent years, with the rapid development of urban transportation network in China, many problems have been exposed, especially in the Beijing–Tianjin–Hebei (BTH) region. Under the call of sustainable development, it is of great significance to evaluate the economic, social, and ecological (ESE) impact of transportation network in BTH urban agglomeration for promoting the sustainable development of transportation ESE in BTH urban agglomeration. In this paper, 12 indicators in the field of transportation are selected to build the evaluation index system of ESE effects of transportation network in BTH urban agglomeration. By using entropy weight TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) model and the Jenks natural breaks classification method, the ESE impacts of transportation network in 13 cities of BTH from 2013 to Citation: Zhang, L.; Zhang, X.; Yuan, 2017 are analyzed from the temporal and spatial dimensions. -
Research on Layout of Multimodal Transport Center in Jinan City
E3S Web of Conferences 38, 01040 (2018) https://doi.org/10.1051/e3sconf/20183801040 ICEMEE 2018 Research on layout of multimodal transport center in Jinan City Xue Qin ZHANG 1,*, Ying Ran CUI 1, Yuan LI 1 ,and Xiu Feng LIANG 1 1Shandong Jiaotong University, Ji’nan, Shandong 250300, China Abstract. Multimodal operation is an efficient form of transportation organization. By integrating various modes of transport, the advantages of each mode are fully exerted, and the efficiency and quality of transportation are improved to meet the demand for personalized transport. This article first analyzes the status of multimodal transport development in various regions of Shandong Province; through the analysis of the external environment in which Jinan City is located, it proposes the layout of the Jinan Multimodal Transport Center; finally, it proposes various solutions based on the actual development status. 1 Introduction Table.1 2011-2017Shandong Province GDP and industrial With the development of society, people pay more and structure ratio more attention to the efficiency of transport. In this case, Years GDP/ Billion The proportion of multimodal transport has emerged as the times require. It three industries depends on the combination of sea and land, land and 2011 45429.2 8.8:52.9:38.3 land, and so on, which greatly reduces the transportation 2012 50013.2 8.6:51.4:40.0 time and saves manpower. Most multimodal transport 2013 54684.3 8.7:50.1:41.2 today relies on large containers for loading and 2014 59426.6 8.1:48.4:43.5 unloading of goods. -
The Pearl River Delta Region Portion of Guangdong Province) Has Made the Region Even More Attractive to Investors
The Greater Pearl River Delta Guangzhou Zhaoqing Foshan Huizhou Dongguan Zhongshan Shenzhen Jiangemen Zhuhai Hong Kong Macao A report commissioned by Invest Hong Kong 6th Edition The Greater Pearl River Delta 6th Edition Authors Michael J. Enright Edith E. Scott Richard Petty Enright, Scott & Associates Editorial Invest Hong Kong EXECUTIVE SUMMARY The Greater Pearl River Delta Executive Authors Michael J. Enright Edith E. Scott Summary Richard Petty Enright, Scott & Associates Editorial Invest Hong Kong Background First Published April 2003 Invest Hong Kong is pleased to publish the sixth edition of ‘The Greater Pearl Second Edition June 2004 Third Edition October 2005 River Delta’. Much has happened since the publication of the fifth edition. Fourth Edition October 2006 Rapid economic and business development in the Greater Pearl River Delta Fifth Edition September 2007 (which consists of the Hong Kong Special Administrative Region, the Macao Sixth Edition May 2010 Special Administrative Region, and the Pearl River Delta region portion of Guangdong Province) has made the region even more attractive to investors. © Copyright reserved The region has increased in importance as a production centre and a market within China and globally. Improvements in connectivity within the region and ISBN-13: 978-988-97122-6-6 Printed in Hong Kong Published by Invest Hong Kong of the HKSAR Government EXECUTIVE SUMMARY EXECUTIVE SUMMARY with the rest of the world have made it easier to access for investors than ever The third part of the report provides brief profi les of the jurisdictions of the before. And a range of key policy initiatives, such as ‘The Outline Plan for the Greater Pearl River Delta region, highlighting the main features of the local Reform and Development of the Pearl River Delta (2008-2020)’ from China’s economies, including the principal manufacturing and service sectors, National Development and Reform Commission (NDRC), hold great promise economic development plans, location of development zones and industrial for the future. -
About Shandong
About Shandong People's Government of Shandong Province Administrative division As at December 31, 2017, the investigation land area of Shandong Province totaled 157,965km2. By the end of 2017, the total population of Shandong was 100,058,300. By December 31, 2017, Shandong Province had jurisdiction over 17 prefecture-level cities including Ji’nan, Qingdao, Zibo, Zaozhuang, Dongying, Yantai, Weifang, Ji’ning, Tai'an, Weihai, Rizhao, Laiwu, Linyi, Dezhou, Liaocheng, Binzhou and Heze, covering 137 county-level units and 1,824 township-level administrative units. Geological resources [Location & area] Shandong Province is located on the eastern coast of China and the lower reaches of the Yellow River, between 34°22.9′~38°24.01′N and 114°47.5′~122°42.3′E. The territory is composed of the peninsula and inland. The Shandong Peninsula stands out in the Bohai Sea and the Yellow Sea, facing the Liaodong Peninsula. The inland part is bordered by Hebei, He’nan, Anhui and Jiangsu provinces from the north to the south. The territory is about 420km long from north to south and around 700km wide from east to west, with a total area of 157,100km2, accounting for 1.64% of the total area of China, The capital of Shandong Province is Ji’nan. [Terrain & landform] The terrain of the province is composed of mountains in the center and basins and plains in the northwest and the northwest, forming a landform of mountainous & hills as the skeleton and the plains & basins interlaced. The mountain area accounts for 15.5% of the total area of the province, hills 13.2%, plains 55%, lowlands 4.1%, lakes & plains 4.4%, and others 7.8%.