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Shenzhen Futian District
The living r Ring o f 0 e r 2 0 u t 2 c - e t s 9 i i 1 s h 0 e c n 2 r h g f t A i o s e n e r i e r a D g e m e e y a l r d b c g i a s ’ o n m r r i e e p a t d t c s s a A bring-back culture idea in architecture design in core of a S c u M M S A high density Chinese city - Shenzhen. x Part 1 Part 5 e d n Abstract Design rules I Part 2 Part 6 Urban analysis-Vertical direction Concept Part 3 Part 7 Station analysis-Horizontal Project:The living ring direction Part 4 Part 8 Weakness-Opportunities Inner space A b s t r a c t Part 1 Abstract 01 02 A b s t Abstract r a c Hi,I am very glad to have a special opportunity here to The project locates the Futian Railway Station, which t share with you a project I have done recently about is a very important transportation hub in Futian district. my hometown. It connects Guangzhou and Hong Kong, two very important economic cities.Since Shenzhen is also My hometown, named Shenzhen, a small town in the occupied between these two cities,equally important south of China. After the Chinese economic reform.at political and cultural position. The purpose of my 1978, this small town developed from a fishing village design this time is to allow the cultural center of Futian with very low economic income to a very prosperous District to more reflect its charm as a cultural center, economic capital, a sleep-less city , and became one and to design a landmark and functional use for the of very important economic hubs in China. -
Unravelling Decision-Making Processes on Location Choices For
Delft University of Technology Unravelling Decision-Making Processes on Location Choices for High-Speed Railway Stations in China A Comparison of Shenzhen, Lanzhou and Jingmen Wang, Biyue; de Jong, Martin; Van Bueren, Ellen; Ersoy, Aksel; Chen, Yawei DOI 10.1080/14649357.2021.1933578 Publication date 2021 Document Version Final published version Published in Planning Theory and Practice Citation (APA) Wang, B., de Jong, M., Van Bueren, E., Ersoy, A., & Chen, Y. (2021). Unravelling Decision-Making Processes on Location Choices for High-Speed Railway Stations in China: A Comparison of Shenzhen, Lanzhou and Jingmen. Planning Theory and Practice. https://doi.org/10.1080/14649357.2021.1933578 Important note To cite this publication, please use the final published version (if applicable). Please check the document version above. Copyright Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons. Takedown policy Please contact us and provide details if you believe this document breaches copyrights. We will remove access to the work immediately and investigate your claim. This work is downloaded from Delft University of Technology. For technical reasons the number of authors shown on this cover page is limited to a maximum of 10. Planning Theory & Practice ISSN: (Print) (Online) Journal homepage: https://www.tandfonline.com/loi/rptp20 Unravelling Decision-Making -
Resident Mobility Analysis Based on Mobile-Phone Billing Data
Available online at www.sciencedirect.com ScienceDirect Procedia - Social and Behavioral Sciences 96 ( 2013 ) 2032 – 2041 13th COTA International Conference of Transportation Professionals (CICTP 2013) Resident Mobility Analysis Based on Mobile-Phone Billing Data Rao Zonghaoa, Yang Dongyuana*, Duan Zhengyua aKey Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, P.O.Box 201804, Shanghai,China Abstract Many researches on resident mobility came from traditional data collection methods such as artificial or telephone surveys, but those approaches are difficult to update and the results are limited to a certain point in time. In the past few years, some innovative approaches have sought to use mobile devices to collect spatiotemporal data. In this paper we analyze spatial- temporal characteristics of resident mobility in the city of Shenzhen, using a data set captures for a seven-day period of more than one million anonymous mobile-phone users. In addition, we propose a method of recognizing the location of employment based on this kind of data and then plot an employment distribution map of Shenzhen. This method provides a new way to observe the employment distribution in a city. Understanding resident mobility from a city-wide perspective could provide researchers with convenience to forecast the traffic demand and take measures to traffic management, and could also lead to more informed decision making in both city planning and mass transit planning. ©© 20132013 The Authors. Authors. Published Published by byElsevier Elsevier Ltd. B.V. SelectionSelection andand/or peer-review peer-review under under responsibility responsibility of Chinese of Chinese Overseas Overseas Transportation Transportation Association Association(COTA). -
Guide Map the Location of RETECH
Guide Map The Location of RETECH oad Pinglong E. R Fenghuang Ping Dongguan City Ping hu Bao'an ' District an ad o R R o S R ad . o R ad Pinghu W.Ring R Fu'an o oad ad China South City oad Hutian R ass Overp Shenzhen Er gongling Langgang China South City Exit Bao'an Jihe Expr ess International W Bulan R ay Airport Meiguan Danping o ad Way ess Expr R Shuiguan ExprLiang R o ad ess Bulong R o ad o W ad ay eet tr Busha R oad Shenhui S About ShenZhen Shenzhen where our company located, is a seaside city with nice weather and beautiful environment. Shenzhen develops from a small seaside village to a newly modern developed city within 30 years. It's one of the Special Economic Zones in China with modern atmosphere and great passion. Here is the front of economy development in China. Welcome your visit at our company. Please let me to introduce the location of our company. You can see the above map, the green area is Guangdong province. Shenzhen is in the south of Guangdong. Shenzhen borders on Hongkong, very close to Guangzhou and Zhuhai. Following are the three ways how you come to our company: from HongKong to Shenzhen, from Guangzhou or Zhuhai to Shenzhen. All the three ways will take you about 2-2.5 hours to our plant. When you enter mainland China, please exchange enough RMB cash for transportation. Via Zhuhai Guangzhou Railway Station Shenzhen Zhuhai Shekou Jiuzhou Shenzhen Luohu Hong Kong International Airport If you are in Zhuhai, you can take a taxi to Zhuhai Jiouzhou Port to buy a ferry ticket to Shenzhen Shekou port. -
U.S. Investors Are Funding Malign PRC Companies on Major Indices
U.S. DEPARTMENT OF STATE Office of the Spokesperson For Immediate Release FACT SHEET December 8, 2020 U.S. Investors Are Funding Malign PRC Companies on Major Indices “Under Xi Jinping, the CCP has prioritized something called ‘military-civil fusion.’ … Chinese companies and researchers must… under penalty of law – share technology with the Chinese military. The goal is to ensure that the People’s Liberation Army has military dominance. And the PLA’s core mission is to sustain the Chinese Communist Party’s grip on power.” – Secretary of State Michael R. Pompeo, January 13, 2020 The Chinese Communist Party’s (CCP) threat to American national security extends into our financial markets and impacts American investors. Many major stock and bond indices developed by index providers like MSCI and FTSE include malign People’s Republic of China (PRC) companies that are listed on the Department of Commerce’s Entity List and/or the Department of Defense’s List of “Communist Chinese military companies” (CCMCs). The money flowing into these index funds – often passively, from U.S. retail investors – supports Chinese companies involved in both civilian and military production. Some of these companies produce technologies for the surveillance of civilians and repression of human rights, as is the case with Uyghurs and other Muslim minority groups in Xinjiang, China, as well as in other repressive regimes, such as Iran and Venezuela. As of December 2020, at least 24 of the 35 parent-level CCMCs had affiliates’ securities included on a major securities index. This includes at least 71 distinct affiliate-level securities issuers. -
Electric Multiple Unit Circulation Plan Optimization Based on the Branch-And-Price Algorithm Under Different Maintenance Management Schemes
RESEARCH ARTICLE Electric multiple unit circulation plan optimization based on the branch-and-price algorithm under different maintenance management schemes Wenjun Li1, Lei Nie1*, Tianwei Zhang2 1 School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China, 2 School of Traffic and a1111111111 Transportation, Shijiazhuang Tiedao University, Shijianzhuang, China a1111111111 * [email protected] a1111111111 a1111111111 a1111111111 Abstract For railway operators, one of many important goals is to improve the utilization efficiency of electric multiple units (EMUs). When operators design EMU circulation plans, EMU type OPEN ACCESS restrictions are critical factors when assigning EMUs to the correct depots for maintenance. Citation: Li W, Nie L, Zhang T (2018) Electric However, existing studies only consider that EMUs are maintained at their home depots. multiple unit circulation plan optimization based on However, targeting that problem, in this paper, an optimization model for the EMU circula- the branch-and-price algorithm under different tion planning problem that allows depots to be selected for EMU maintenance is proposed. maintenance management schemes. PLoS ONE 13 (7): e0199910. https://doi.org/10.1371/journal. This model aims at optimizing the number of used EMUs and the number of EMU mainte- pone.0199910 nance tasks and simultaneously incorporates other important constraints, including type Editor: Halife Kodaz, University of Konya Technical, restrictions, on EMU maintenance and night accommodation capacity at depots. In order to TURKEY solve the model, a branch-and-price algorithm is also developed. A case study of a real- Received: August 21, 2017 world high-speed railway was conducted to compare and analyze the effects of different maintenance location constraints. -
Community Informatics in Chongqing: a Case Study of the Real-Name and ID Requirement Policy in the Chinese Railway System
Community Informatics in Chongqing: A Case Study of the Real-Name and ID Requirement Policy in the Chinese Railway System Huo Ran 霍然 and Wei Qunyi 魏群义 Abstract This study discusses strategies for narrowing the digital divide by examining the real-name and ID requirement policy that governs online purchases of train tickets in China. Using a case study, the authors of this study asks what factors influence online ticket pur- chasing by railway passengers and examines how Chinese public libraries offer online ticket-purchasing assistance as a strategy for bridging the digital divide. Deploying both quantitative and quali- tative methods—including questionnaires and semistructured in- terviews—the authors found that four factors—gender, age, social status, and privacy concerns—were most important in influencing passengers’ online ticket purchasing, and that Chinese public librar- ies do facilitate access to the digital world. Introduction Over the past two decades, rail travel—especially between urban and ru- ral areas—has grown tremendously in China. This is in part because so many people have left home to pursue employment or higher education. Travel increases especially during the summer holidays and around Chi- nese New Year 春节 and peaks around the Lunar New Year. The period around the Chinese New Year usually begins 15 days before this turn of the year and lasts for about forty days in total (“Chunyun,” 2012). The railroad sees an extremely high traffic load during this period. Annually, approximately three billion passengers travel between China’s provinces during this time—possibly a world record. STNN 星岛环球网 reported that in the two weeks of the Chunyun 春运 period in 2008, the number of passenger journeys exceeded 22 billion. -
Guangshen Railway Company Limited Annual Report 2002
annual report 2002 Guangshen Railway Company Limited Guangshen Railway Company Limited Annual Report 2002 Annual Report Guangshen Railway Company Limited 2002 CONTENTS Company Profile 2 Financial Highlights 4 Chairman’s Statement 5 Management’s Discussion and Analysis 11 Report of Directors 24 Report of the Supervisory Committee 35 Directors, Supervisors and Senior Management 37 Corporate Information 41 Notice of Annual General Meeting 44 Auditors’ Report 46 Consolidated Income Statement 47 Consolidated Balance Sheet 48 Balance Sheet 49 Consolidated Cash Flow Statement 50 Statements of Changes in Shareholders’ Equity 51 Notes to the Financial Statements 52 Financial Summary 93 Supplementary Financial Information 95 COMPANY PROFILE On 6 March, 1996, Guangshen Railway Company Limited (the “Company”) was registered and established in Shenzhen, the People’s Republic of China (the “PRC”) in accordance with the Company Law of the PRC. In May 1996, the H shares (“H Shares”) and American Depositary Shares (“ADSs”) issued by the Company were listed on The Stock Exchange of Hong Kong Limited (the “Hong Kong Exchange”) and the New York Stock Exchange, Inc. (“New York Stock Exchange”), respectively. The Company is currently the only enterprise engaging in the PRC railway transportation industry with its shares listed overseas. The Company is mainly engaged in railway passenger and freight transportation businesses between Guangzhou and Shenzhen and certain long-distance passenger transportation services. The Company also cooperates with Kowloon-Canton Railway Corporation (“KCR”) in Hong Kong in operating the Hong Kong through-train passenger service between Guangzhou and Kowloon. The Company provides consolidated services relating to railway facilities and technology. The Company also engages in commercial trading and other businesses that are consistent with the Company’s overall business strategy. -
Spatiotemporal Evolution of China's Railway Network in the 20Th Century
Transportation Research Part A 43 (2009) 765–778 Contents lists available at ScienceDirect Transportation Research Part A journal homepage: www.elsevier.com/locate/tra Spatiotemporal evolution of China’s railway network in the 20th century: An accessibility approach Jiaoe Wang a,b,*, Fengjun Jin a, Huihui Mo a,c, Fahui Wang c a Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China b Department of Geography and Anthropology, Louisiana State University, Baton Rouge, LA 70803, USA c China Communications and Transportation Association, Beijing 100825, China article info abstract Article history: The interrelatedness of transportation development and economic growth has been a con- Received 27 April 2007 stant theme of geographic inquiries, particularly in economic and transportation geogra- Received in revised form 17 June 2009 phy. This paper analyzes the expansion of China’s railway network, the evolution of its Accepted 12 July 2009 spatial accessibility, and the impacts on economic growth and urban systems over a time span of about one century (1906–2000). First, major historical events and policies and their effects on railway development in China are reviewed and grouped into four major eras: Keywords: preliminary construction, network skeleton, corridor building, and deep intensification. Railway network All four eras followed a path of ‘‘inland expansion.” Second, spatial distribution of accessi- Accessibility Spatiotemporal patterns bility and its evolution are analyzed. The spatial structure of China’s railway network is Urban systems characterized by ‘‘concentric rings” with its major axis in North China and the most acces- China sible city gradually migrating from Tianjin to Zhengzhou. -
Securing the Belt and Road Initiative: China's Evolving Military
the national bureau of asian research nbr special report #80 | september 2019 securing the belt and road initiative China’s Evolving Military Engagement Along the Silk Roads Edited by Nadège Rolland cover 2 NBR Board of Directors John V. Rindlaub Kurt Glaubitz Matt Salmon (Chairman) Global Media Relations Manager Vice President of Government Affairs Senior Managing Director and Chevron Corporation Arizona State University Head of Pacific Northwest Market East West Bank Mark Jones Scott Stoll Co-head of Macro, Corporate & (Treasurer) Thomas W. Albrecht Investment Bank, Wells Fargo Securities Partner (Ret.) Partner (Ret.) Wells Fargo & Company Ernst & Young LLP Sidley Austin LLP Ryo Kubota Mitchell B. Waldman Dennis Blair Chairman, President, and CEO Executive Vice President, Government Chairman Acucela Inc. and Customer Relations Sasakawa Peace Foundation USA Huntington Ingalls Industries, Inc. U.S. Navy (Ret.) Quentin W. Kuhrau Chief Executive Officer Charles W. Brady Unico Properties LLC Honorary Directors Chairman Emeritus Lawrence W. Clarkson Melody Meyer Invesco LLC Senior Vice President (Ret.) President The Boeing Company Maria Livanos Cattaui Melody Meyer Energy LLC Secretary General (Ret.) Thomas E. Fisher Long Nguyen International Chamber of Commerce Senior Vice President (Ret.) Chairman, President, and CEO Unocal Corporation George Davidson Pragmatics, Inc. (Vice Chairman) Joachim Kempin Kenneth B. Pyle Vice Chairman, M&A, Asia-Pacific (Ret.) Senior Vice President (Ret.) Professor, University of Washington HSBC Holdings plc Microsoft Corporation Founding President, NBR Norman D. Dicks Clark S. Kinlin Jonathan Roberts Senior Policy Advisor President and Chief Executive Officer Founder and Partner Van Ness Feldman LLP Corning Cable Systems Ignition Partners Corning Incorporated Richard J. -
Entities Identified As Chinese Military Companies Operating in the United States in Accordance with Section 1260H of the William M
Entities Identified as Chinese Military Companies Operating in the United States in Accordance with Section 1260H of the William M. ("Mac") Thornberry National Defense Authorization Act for Fiscal Year 2021 (PUBLIC LAW 116-283) Aerospace CH UA V Co., Ltd Aerosun Corporation Aviation Industry Corporation of China, Ltd. (AVIC) AVIC Aviation High-Technology Company Limited A VIC Heavy Machinery Company Limited A VIC Jonhon Optronic Technology Co., Ltd. A VIC Shenyang Aircraft Company Limited A VIC Xi'an Aircraft Industry Group Company Ltd. China Aerospace Science and Industry Corporation Limited (CASIC) China Communications Construction Company Limited (CCCC) China Communications Construction Group (Limited) (CCCG) China Electronics Corporation (CEC) China Electronics Technology Group Corporation (CETC) China General Nuclear Power Corporation (CGN) China Marine Information Electronics Company Limited China Mobile Communications Group Co., Ltd. China Mobile Limited China National Nuclear Corporation (CNNC) China National Offshore Oil Corporation (CNOOC) China North Industries Group Corporation Limited (Norinco Group) China Railway Construction Corporation Limited (CRCC) China South Industries Group Corporation (CSGC) China SpaceSat Co., Ltd. China State Shipbuilding Corporation Limited (CSSC) China Telecom Corporation Limited China Telecommunications Corporation China Unicom (Hong Kong) Limited China United Network Communications Group Co., Ltd. (China Unicom) CNOOC Limited Costar Group Co., Ltd. Fujian Torch Electron Technology Co., Ltd. -
A Hybrid Method for Predicting Traffic Congestion During Peak Hours In
sensors Article A Hybrid Method for Predicting Traffic Congestion during Peak Hours in the Subway System of Shenzhen Zhenwei Luo 1, Yu Zhang 1, Lin Li 1,2,* , Biao He 3, Chengming Li 4, Haihong Zhu 1,2,*, Wei Wang 1, Shen Ying 1,2 and Yuliang Xi 1 1 School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China; [email protected] (Z.L.); [email protected] (Y.Z.); [email protected] (W.W.); [email protected] (S.Y.); [email protected] (Y.X.) 2 RE-Institute of Smart Perception and Intelligent Computing, Wuhan University, Wuhan 430079, China 3 School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518000, China; [email protected] 4 Chinese Academy of Surveying and Mapping, 28 Lianghuachi West Road, Haidian Qu, Beijing 100830, China; [email protected] * Correspondence: [email protected] (L.L.); [email protected] (H.Z.); Tel.: +86-27-6877-8879 (L.L. & H.Z.) Received: 11 October 2019; Accepted: 23 December 2019; Published: 25 December 2019 Abstract: Traffic congestion, especially during peak hours, has become a challenge for transportation systems in many metropolitan areas, and such congestion causes delays and negative effects for passengers. Many studies have examined the prediction of congestion; however, these studies focus mainly on road traffic, and subway transit, which is the main form of transportation in densely populated cities, such as Tokyo, Paris, and Beijing and Shenzhen in China, has seldom been examined. This study takes Shenzhen as a case study for predicting congestion in a subway system during peak hours and proposes a hybrid method that combines a static traffic assignment model with an agent-based dynamic traffic simulation model to estimate recurrent congestion in this subway system.