DOCSLIB.ORG

Blank IEC Form

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Blank IEC Form SLR-21-03 Meeting venue for the 22nd GRE-IWG SLR session Shenzhen (CN), 29 January / 1 February 2018 The meeting will be held in Marco Polo Shenzhen Hotel. Address：No.28, Fuhua 1st Road, Futian CBD, Shenzhen, China Tel：+86-755-8298 9888 Fax：+86-755-8272 8011 http://www.marcopolohotels.com/en/marco_polo/hotels/china/shenzhen/marco_polo_shenzhen/index.html Marco Polo Shenzhen Hotel is the central lodging option for this meeting. The rooms are available on a first-come first-served basis. Besides Marco Polo Shenzhen Hotel, there are some others nearby: Walking Star Hotel Website Distance to rating meeting venue Futian Shangri-La http://www.shangri-la.com/shenzhen/futianshangrila/ 9 min ★★★★★ Hotel Sheraton http://www.starwoodhotels.com/sheraton/property/overvie Shenzhen w/index.html?&propertyID=1709&language=en_US&local 16 min Futian ★★★★★ eCode=en_US Hotel The Ritz- Carlton http://www.ritzcarlton.com/en/hotels/china/shenzhen 19 min Shenzhen ★★★★★ Hotel Hilton Shenzhen http://www3.hilton.com/en/hotels/china/hilton-shenzhen- 30 min Futian ★★★★★ futian-SZXSFHI/index.html Hotel Airports and transportation Transfer to Hotel from Shenzhen Airport Shenzhen Airport: http://eng.szairport.com/ Shenzhen Airport is located about 35 Km from the Marco Polo Shenzhen Hotel. Two routes are recommended as follow: 1 / 4 Shenzhen Metro Map: Please offer the follow information (bilingual) to the taxi driver when going to Marco Polo Shenzhen Hotel. ----------------------------------------------------------------------------------------------------------------------- Meeting Venue Marco Polo Shenzhen Hotel Address：No.28, Fuhua 1st Road, Futian CBD, Shenzhen, China Tel：+86-755-8298 9888 Fax：+86-755-8272 8011 会议地址： 深圳马哥孛罗好日子酒店 酒店地址：中国深圳市福田中心区, 福华一路 28 号 酒店电话：+86-755-8298 9888 酒店传真：+86-755-8272 8011 -------------------------------------------------------------------------------------------------------------------- Transfer to Hotel from Hong Kong International Airport Hong Kong International Airport (HKIA): http://www.hongkongairport.com/ 2 / 4 Arriving at Hong Kong, you need to go through border inspection to enter Shenzhen. Please make sure you have a valid travel document or visa for Mainland China. There are totally 7 ports between Hong Kong and Shenzhen. We highly recommend to enter Shenzhen through Huanggang, Futian, and Luohu. Please check the opening time of these three ports as in the table below. Three routes are recommended as follow: *Cross Border Bus Service information can be available in the area “TRANSPORT” on the HKIA website http://www.hongkongairport.com/ Hong Kong Metro Map 3 / 4 Electrical sockets Electrical sockets in China match the Type A, Type C, and Type I plugs and sockets described in IEC TR 60083 and illustrated at http://www.iec.ch/worldplugs/list_bylocation.htm If necessary, you will need an adaptor or a converter. Credit cards Major credit cards such as Master Card, Visa, JCB and American Express are accepted in major hotels and department stores. Check on the acceptance of your credit card before you purchase. Emergencies In the event of an emergency, call 110 for the police and 120 for the ambulance services. Shopping malls & Restaurants Two shopping malls are located around the Meeting Venue. Both shopping malls offer dining, retail, leisure and entertainment services. 1. Galaxy CoCo Park 2. Wongtee Plaza Address: No.269, Fuhua 3rd Road, Futian Address: No.118, Fuhua 3rd Road, Futian District, Shenzhen District, Shenzhen Tel: +86-755-82021111 Tel: +86-755-22669322 Website: http://www.wongteeplaza.com/en/ 4 / 4 .
Load more

Recommended publications
  • Monitoring the Land Subsidence Area in a Coastal Urban Area with Insar and GNSS
    sensors Article Monitoring the Land Subsidence Area in a Coastal Urban Area with InSAR and GNSS Bo Hu * , Junyu Chen and Xingfu Zhang Surveying Engineering, Guangdong University of Technology, Guangzhou 510006, China * Correspondence: [email protected]; Tel.: +86-20-3932-2530 Received: 21 May 2019; Accepted: 14 July 2019; Published: 19 July 2019 Abstract: In recent years, the enormous losses caused by urban surface deformation have received more and more attention. Traditional geodetic techniques are point-based measurements, which have limitations in using traditional geodetic techniques to detect and monitor in areas where geological disasters occur. Therefore, we chose Interferometric Synthetic Aperture Radar (InSAR) technology to study the surface deformation in urban areas. In this research, we discovered the land subsidence phenomenon using InSAR and Global Navigation Satellite System (GNSS) technology. Two different kinds of time-series InSAR (TS-InSAR) methods: Small BAseline Subset (SBAS) and the Permanent Scatterer InSAR (PSI) process were executed on a dataset with 31 Sentinel-1A Synthetic Aperture Radar (SAR) images. We generated the surface deformation field of Shenzhen, China and Hong Kong Special Administrative Region (HKSAR). The time series of the 3d variation of the reference station network located in the HKSAR was generated at the same time. We compare the characteristics and advantages of PSI, SBAS, and GNSS in the study area. We mainly focus on the variety along the coastline area. From the results generated by SBAS and PSI techniques, we discovered the occurrence of significant subsidence phenomenon in the land reclamation area, especially in the metro construction area and the buildings with a shallow foundation located in the land reclamation area.
    [Show full text]
  • (Presentation): Improving Railway Technologies and Efficiency
    RegionalConfidential EST Training CourseCustomizedat for UnitedLorem Ipsum Nations LLC University-Urban Railways Shanshan Li, Vice Country Director, ITDP China FebVersion 27, 2018 1.0 Improving Railway Technologies and Efficiency -Case of China China has been ramping up investment in inner-city mass transit project to alleviate congestion. Since the mid 2000s, the growth of rapid transit systems in Chinese cities has rapidly accelerated, with most of the world's new subway mileage in the past decade opening in China. The length of light rail and metro will be extended by 40 percent in the next two years, and Rapid Growth tripled by 2020 From 2009 to 2015, China built 87 mass transit rail lines, totaling 3100 km, in 25 cities at the cost of ¥988.6 billion. In 2017, some 43 smaller third-tier cities in China, have received approval to develop subway lines. By 2018, China will carry out 103 projects and build 2,000 km of new urban rail lines. Source: US funds Policy Support Policy 1 2 3 State Council’s 13th Five The Ministry of NRDC’s Subway Year Plan Transport’s 3-year Plan Development Plan Pilot In the plan, a transport white This plan for major The approval processes for paper titled "Development of transportation infrastructure cities to apply for building China's Transport" envisions a construction projects (2016- urban rail transit projects more sustainable transport 18) was launched in May 2016. were relaxed twice in 2013 system with priority focused The plan included a investment and in 2015, respectively. In on high-capacity public transit of 1.6 trillion yuan for urban 2016, the minimum particularly urban rail rail transit projects.
    [Show full text]
  • Information for Prospective Candidates
    INFORMATION FOR PROSPECTIVE CANDIDATES Thank you for your interest in Harrow Shenzhen (Qianhai). We hope you find the following information helpful and look forward to receiving your application. Contents 1. Asia International School Limited 2. Harrow International School Shenzhen (Qianhai) 3. Message from the Head Master 4. Harrow International Schools • Leadership for a better World • Academic Progression • Boarding 5. Leadership values 6. The benefits of working with Harrow Family in Asia 7. Other Schools in The Harrow Asia Family • Harrow Bangkok • Harrow Beijing • Harrow Hong Kong • Harrow Shanghai 8. What we are looking for 9. Living and working in Shenzhen • Cost of Living • The transport system • Weather • Living in Shenzhen • Tourism • Hospitals and clinics • Shopping • Forums and Directories • Frequently Asked Questions ASIA INTERNATIONAL SCHOOL LIMITED The Leading Provider of World Class British international Education Building on Harrow School’s 450-year legacy of educational excellence, Asia International School Limited (AISL) has over 20 years of experience, operating Harrow international schools in Bangkok (1998), Beijing (2005), Hong Kong (2012) and Shanghai (2016). AISL is the holding company of Harrow International Schools (HISs), Harrow Innovation Leadership Academies (HILAs) and Harrow Little Lions Childhood Development Centres (HLLs). From 2020, HILAs will commence operations in several tier-one and tier-two cities in China, providing an outstanding K-12 bilingual and holistic education to local students, assuring a successful pathway to the world’s top universities. We currently operate two HLLs, in Shanghai, adjacent to our HIS, and in Chongqing. There are advanced plans to open several more in the near future. Harrow – 450 Years of Heritage Harrow School was founded in London in 1572 under a Royal Charter granted by Elizabeth I.
    [Show full text]
  • Development Consultancy for Namtai Project, Shenzhen
    Development Consultancy for Namtai Projj,ect, Shenzhen Presented to : Zastron Electronic (Shenzhen) Co., Ltd. 8th November 2013 1 Contents 1. Macroeconomic Analysis 2. Market Analysis 2.1 Office Market 2.2 Retail Market 232.3 Residential Market 3. Baseline Review 4. SWOT 5. Overall Positioning 6. Positioning, by component 6.1 Office Market 626.2 Retail Market 6.3 Residential Market 7. Financial Analysis 8. Risk Analysis District Planning District Profile of Industrial City profile Urban Planning Demographic of Bao’an of the Project Bao’an Analysis - Bao’an City Economic Profile : . Shenzhen maintains stable economic growth, with five straight years of over 10% GDP growth annually from 2007 (RMB 676.5 billion) to 2012 (RMB 1,295 billion). In 2011, Shenzhen’s GDP rose beyond RMB 1 trillion, making it the fourth largest city in China in terms of GDP following Shanghai , Beijing and Guangzhou. Shenzhen’s GDP Growth rate (RMB 100 million) Source:StatisticBureauofShenzhen 3 District Planning District Profile of Industrial City profile Urban Planning Demographic of Bao’an of the Project Bao’an Analysis - Bao’an “Overall Urban Planning of Shenzhen, 2010-2020” . Three vertical axes: west development axis, middle development axis and east development axis . Two horizontal axes: north development axis, south development axis . Multiple centers: Main centers of the city: Futian—Luohu center, Qianhai center . Sub-centers: Longgang center, Longhua center, Guangming new city center, Pingshan new city center, YtiYantian center . Cluster centers: Aviation City, Shajing, Songgang, Guanlan, Pinghu, Buji, Henggang, Kuiyong The Project Source: Shenzhen’s official planning website 4 District Planning District Profile of Industrial City profile Urban Planning Demographic of Bao’an of the Project Bao’an Analysis - Bao’an “Overall Urban Planning of Shenzhen, 2010-2020” .
    [Show full text]
  • 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.
    [Show full text]
  • China Clean Energy Study Tour for Urban Infrastructure Development
    China Clean Energy Study Tour for Urban Infrastructure Development BUSINESS ROUNDTABLE Tuesday, August 13, 2019 Hyatt Centric Fisherman’s Wharf Hotel • San Francisco, CA CONNECT WITH USTDA AGENDA China Urban Infrastructure Development Business Roundtable for U.S. Industry Hosted by the U.S. Trade and Development Agency (USTDA) Tuesday, August 13, 2019 ____________________________________________________________________ 9:30 - 10:00 a.m. Registration - Banquet AB 9:55 - 10:00 a.m. Administrative Remarks – KEA 10:00 - 10:10 a.m. Welcome and USTDA Overview by Ms. Alissa Lee - Country Manager for East Asia and the Indo-Pacific - USTDA 10:10 - 10:20 a.m. Comments by Mr. Douglas Wallace - Director, U.S. Department of Commerce Export Assistance Center, San Francisco 10:20 - 10:30 a.m. Introduction of U.S.-China Energy Cooperation Program (ECP) Ms. Lucinda Liu - Senior Program Manager, ECP Beijing 10:30 a.m. - 11:45 a.m. Delegate Presentations 10:30 - 10:45 a.m. Presentation by Professor ZHAO Gang - Director, Chinese Academy of Science and Technology for Development 10:45 - 11:00 a.m. Presentation by Mr. YAN Zhe - General Manager, Beijing Public Transport Tram Corporation 11:00 - 11:15 a.m. Presentation by Mr. LI Zhongwen - Head of Safety Department, Shenzhen Metro 11:15 - 11:30 a.m. Tea/Coffee Break 11:30 - 11:45 a.m. Presentation by Ms. WANG Jianxin - Deputy General Manager, Tianjin Metro Operation Corporation 11:45 a.m. - 12:00 p.m. Presentation by Mr. WANG Changyu - Director of General Engineer's Office, Wuhan Metro Group 12:00 - 12:15 p.m.
    [Show full text]
  • A Data-Driven Urban Metro Management Approach for Crowd Density Control
    Hindawi Journal of Advanced Transportation Volume 2021, Article ID 6675605, 14 pages https://doi.org/10.1155/2021/6675605 Research Article A Data-Driven Urban Metro Management Approach for Crowd Density Control Hui Zhou ,1 Zhihao Zheng ,2 Xuekai Cen ,1 Zhiren Huang ,1 and Pu Wang 1 1School of Traffic and Transportation Engineering, Rail Data Research and Application Key Laboratory of Hunan Province, Central South University, Changsha 410000, China 2Department of Civil Engineering and Applied Mechanics, McGill University, Montreal H3A 0C3, Quebec, Canada Correspondence should be addressed to Pu Wang; [email protected] Received 9 November 2020; Revised 1 March 2021; Accepted 17 March 2021; Published 31 March 2021 Academic Editor: Yajie Zou Copyright © 2021 Hui Zhou et al. +is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Large crowding events in big cities pose great challenges to local governments since crowd disasters may occur when crowd density exceeds the safety threshold. We develop an optimization model to generate the emergent train stop-skipping schemes during large crowding events, which can postpone the arrival of crowds. A two-layer transportation network, which includes a pedestrian network and the urban metro network, is proposed to better simulate the crowd gathering process. Urban smartcard data is used to obtain actual passenger travel demand. +e objective function of the developed model minimizes the passengers’ total waiting time cost and travel time cost under the pedestrian density constraint and the crowd density constraint.
    [Show full text]
  • An Adapted Geographically Weighted Lasso (Ada-GWL) Model For
    An Adapted Geographically Weighted Lasso (Ada-GWL) model for estimating metro ridership Yuxin He∗1, Yang Zhaoy2 and Kwok Leung Tsuiz1,2 1School of Data Science, City University of Hong Kong, Kowloon, Hong Kong 2Centre for Systems Informatics Engineering, City University of Hong Kong, Kowloon, Hong Kong April 3, 2019 Abstract Ridership estimation at station level plays a critical role in metro transportation planning. Among various existing ridership estimation methods, direct demand model has been recognized as an effective approach. However, existing direct demand models including Geographically Weighted Regression (GWR) have rarely included local model selection in ridership estimation. In practice, acquiring insights into metro ridership under multiple influencing factors from a local perspective is important for passenger volume management and transportation planning operations adapting to local conditions. In this study, we propose an Adapted Geographi- cally Weighted Lasso (Ada-GWL) framework for modelling metro ridership, which performs regression-coefficient shrinkage and local model selection. It takes metro network connection intermedia into account and adopts network-based distance metric instead of Euclidean-based distance metric, making it so-called adapted to the context of metro networks. The real-world arXiv:1904.01378v1 [stat.AP] 2 Apr 2019 case of Shenzhen Metro is used to validate the superiority of our proposed model. The results show that the Ada-GWL model performs the best compared with the global model (Ordinary Least Square (OLS), GWR, GWR calibrated with network-based distance metric and GWL in terms of estimation error of the dependent variable and goodness-of-fit. Through understanding the variation of each coefficient across space (elasticities) and variables selection of each station, ∗email: [email protected] yCorresponding author, email: [email protected] zemail: [email protected] 1 it provides more realistic conclusions based on local analysis.
    [Show full text]
  • Shenzhen Retail Q3 2020 EN
    M A R K E T B E AT SHENZHEN Retail Q3 2020 Retail Market Continues Recovery, Led by F&B and Sportswear Sectors YoY 12-Mo. Shenzhen’s total consumer goods retail sales recorded RMB441.69 billion for Jan-July, with the y-o-y drop continuing to narrow. Supported by the city Chg Forecast government’s stimulus measures across retail sectors to boost consumer spending, sales in July alone improved 1.9% y-o-y. 8.7% Gateway One (Phase II) in Shekou and Baoneng Global in Xili opened in Q3, pushing the city’s prime retail stock to 4,996,329 sq m. A large volume Disposable Income of stock has now been added since 2017, enriching the market but also intensifying competition among submarkets, with more than 48% of new supply located in core areas. As well, the ongoing impact of the COVID-19 pandemic has been apparent, with retailers experiencing challenges in 3.2% both supply and demand, resulting in downsizing of leased space. Consequently, the citywide overall vacancy rate rose to 9.5%. Several community Population shopping centers also opened during Q3, including COFCO Joy Street, Sunac Rongchuanghui and Kaisa Karfun World. While providing convenience for neighborhoods, these retail centers also cultivate one-stop consumer shopping behavior. 6.4% Consumption Expenditure Average monthly rental levels dropped 4.2% q-o-q to RMB785.85 per sq m in Q3. The adjustment was mainly driven by high-vacancy projects seeking greater occupancy from quality tenants, as well as relaxed renewal offers from other operators. In Nanshan district, new projects contributed Source: Statistics Bureau of Shenzhen Municipality to average monthly rental dropping to RMB694.62 per sq m.
    [Show full text]
  • MTR's Experiences in PPP for Railway Projects
    MTR’s Experiences in PPP for Railway Projects Dr Jacob Kam Managing Director – Operations & Mainland Business 11 May 2017 MTR Businesses in China and Overseas 港铁公司在国内及海外的铁路业务 Line 4 & Daxing Line 1.881 Mil Line 14, Line 16 113.4 km Elizabeth Line Stockholm Metro 14.2k 1.228 mil 32.5 km 110km South Western rail Contract started MTR Express Hangzhou Metro Line 537k 53.7km from Aug 2017 455km(shared track) 1 and Ext Shenzhen Metro 550k Stockholm Hong Kong MTR Line 4 and Ext Commuter rail 20.5km 8.6 mil 34.3k 266 km 241 km Sydney Metro 36 km North West Under construction Melbourne Metro • Over 1,200km route length (exclude shared track) • Over 14 Million Passenger trips per weekday (using line based counting) 812k • Line based passenger trips do not match with the passenger trip data in annual report 390km MTR Corporation 5/16/2017 Page 2 Why cities need railways? • High capacity • High energy efficiency, low carbon emission In persons per hour in both direction Source: UITP MTR Corporation 5/16/2017 Page 3 Why cities need railways? Effective land use Modal Bus Rapid Bus Tram Light Rail Metro Characteristics Transit Max Flow 2,500 6,000 12,000 18,000 30,000 & above (per hour per direction) Average speed 10-14 15-22 15-22 18-40 18-40 (kph) Reliability Improving Good Medium to Good Good Very Good Mixed running Largely Road-space Mixed running Totally segregated and on-road tram segregated Totally segregated with traffic alignment Allocation lanes alignments All underground: Land Consumed 15 – 25 times 10 – 15 times 5 – 10 times 3 – 6 times 1
    [Show full text]
  • Rail Plus Property Development in China: the Pilot Case of Shenzhen
    WORKING PAPER RAIL PLUS PROPERTY DEVELOPMENT IN CHINA: THE PILOT CASE OF SHENZHEN LULU XUE, WANLI FANG EXECUTIVE SUMMARY China’s rapid urbanization has increased the demand CONTENTS for both housing and transport, leading to a continuing Executive Summary .......................................1 need for urban transit. Cities face significant challenges 1. Introduction ............................................. 2 in financing the growth of urban transit infrastructure. The current practice of financing urban metro or subway 2. Financing Urban Rail Transit Projects in Chinese projects through municipal fiscal revenues (partly from Cities: The Current Situation ............................. 4 land concession fees) and government-backed bank 3. Implementing R+P in China: Opportunities loans is not only inadequate to meet the demand, but and Challenges ........................................... 6 also exacerbates deep-seated problems like mounting municipal financial liabilities, urban sprawl, and urban 4. Analytical Framework ................................ 10 encroachment on farmland. To address these problems, 5. Shenzhen Case Study ................................ 12 Chinese cities need to diversify the ways in which they 6. Summary and Recommendations ...................29 finance urban metro projects. Appendix............................... ...................... 37 Endnotes 38 In a variety of approaches that aim to alleviate the financ- .................................................. ing problems of local governments, Rail
    [Show full text]
  • Shenzhen Retail Marketbeats 2019 Q1-EN
    SHENZHEN RETAIL APRIL 2019 MARKETBEATS 3.78 ¥894.2 4.1% STOCK RENTAL VACANCY (MILLION SM) (RMB/SQM/MO) RATE Economic Indicators Past 12-Month HIGHLIGHTS Q3 2018 Q4 2018 Growth 8.1% 7.6% Shenzhen’s prime retail stock remained at 3.78 million sq m for the quarter. Supported by GDP Growth malls’ solid sales performance, citywide average rent increased 2.8% q-o-q to RMB894.2 per Total Retail Sales Growth 8.2% 7.6% sq m per month in Q1. Despite the tenant mix adjustments underway at some projects and a CPI Growth 2.6% 2.8% Note: Growth figure is y-o-y growth seasonal slowdown, the vacancy rate remained flat at 4.1% on solid take-up. Source: Shenzhen Statistics Bureau In Futian, average rent rebounded to RMB1,005.6 per sq m per month, up 2.6% q-o-q, and Shenzhen Total Retail Sales of the vacancy rate tightened further to 6.4% at quarter’s end. This was helped by improved Consumer Goods 2,000 performance at UpperHills mall. Meanwhile, Coco Park added international labels Dior, Lancome and Givenchy, as well as new F&B including the South China entry of Royal 1,000 Stacks and a new cafe by %Arabica Coffee. Nanshan’s vacancy rate edged up to 4.3% as some retailers left older stores due to RMB 100 million 0 competition heated up in the area. Supported by the premium malls, average rent increased 2014Q2 2014Q3 2014Q4 2015Q1 2015Q2 2015Q3 2015Q4 2016Q1 2016Q2 2016Q3 2016Q4 2017Q1 2017Q2 2017Q3 2017Q4 2018Q1 2018Q2 2018Q3 2018Q4 3.0% q-o-q to RMB865 per sq m per month for the quarter in Nanshan.
    [Show full text]