Ecological Civilization Construction and Intensive Land Use of Metro Project
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The Operator's Story Case Study: Guangzhou's Story
Railway and Transport Strategy Centre The Operator’s Story Case Study: Guangzhou’s Story © World Bank / Imperial College London Property of the World Bank and the RTSC at Imperial College London Community of Metros CoMET The Operator’s Story: Notes from Guangzhou Case Study Interviews February 2017 Purpose The purpose of this document is to provide a permanent record for the researchers of what was said by people interviewed for ‘The Operator’s Story’ in Guangzhou, China. These notes are based upon 3 meetings on the 11th March 2016. This document will ultimately form an appendix to the final report for ‘The Operator’s Story’ piece. Although the findings have been arranged and structured by Imperial College London, they remain a collation of thoughts and statements from interviewees, and continue to be the opinions of those interviewed, rather than of Imperial College London. Prefacing the notes is a summary of Imperial College’s key findings based on comments made, which will be drawn out further in the final report for ‘The Operator’s Story’. Method This content is a collation in note form of views expressed in the interviews that were conducted for this study. This mini case study does not attempt to provide a comprehensive picture of Guangzhou Metropolitan Corporation (GMC), but rather focuses on specific topics of interest to The Operators’ Story project. The research team thank GMC and its staff for their kind participation in this project. Comments are not attributed to specific individuals, as agreed with the interviewees and GMC. List of interviewees Meetings include the following GMC members: Mr. -
Fy17-990.Pdf
Form 990 (2016) SCIENCE MUSEUM OF MINNESOTA **-***6172 Page 2 Part III Statement of Program Service Accomplishments Check if Schedule O contains a response or note to any line in this Part III X 1 Briefly describe the organization's mission: THE MUSEUM'S MISSION STATEMENT IS "TURN ON THE SCIENCE: INSPIRE LEARNING. INFORM POLICY. IMPROVE LIVES." 2 Did the organization undertake any significant program services during the year which were not listed on the prior Form 990 or 990-EZ? ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Yes X No If "Yes," describe these new services on Schedule O. 3 Did the organization cease conducting, or make significant changes in how it conducts, any program services? ~~~~~~ Yes X No If "Yes," describe these changes on Schedule O. 4 Describe the organization's program service accomplishments for each of its three largest program services, as measured by expenses. Section 501(c)(3) and 501(c)(4) organizations are required to report the amount of grants and allocations to others, the total expenses, and revenue, if any, for each program service reported. 4a (Code: ) (Expenses $ 7,215,934. including grants of $ ) (Revenue $ 3,659,798. ) EXHIBIT EXHIBITION, PRODUCTION, DISTRIBUTION & OPERATIONS: EXPENSES IN THIS AREA COVER THE PRODUCTION, EXHIBITION AND DISTRIBUTION OF SCIENCE MUSEUM OF MINNESOTA-PRODUCED EXHIBITS AND THE EXHIBITION OF TRAVELING EXHIBITS. THESE INCLUDE SCIENCE PROGRAMS HIGHLIGHTING SCIENCE, TECHNOLOGY, ENGINEERING, & MATH (STEM). THE SCIENCE MUSEUM PRODUCES TRAVELING EXHIBITIONS THAT TOUR THE NATION AND HIGHLIGHT STEM INITIATIVES. TOTAL ATTENDANCE FOR FISCAL YEAR ENDED 6/30/17 TOTALED 668,714. 4b (Code: ) (Expenses $ 5,328,974. including grants of $ ) (Revenue $ 2,472,430. -
Seasonal Variation, Distribution Characteristics And
1 Measurement report: Seasonal, distribution and sources of 2 organophosphate esters in PM2.5 from an inland urban city in 3 southwest China 4 Hongling Yin, Jiangfeng Jinfeng Liang, Di Wu, Shiping Li, Yi Luo, Xu Deng 5 College of Resources and Environment, Chengdu University of Information Technology, Chengdu, 6 Sichuan, 610025, China 7 Correspondence: Hongling Yin ([email protected]) 8 1 9 10 Abstract. Organophosphate esters (OPEs) are contaminants of emerging concernemerging 11 contaminants in recent years and studies concluded that urban areascenters were a significant source of 12 OPEs. Samples were collected from six ground-based sites located in Chengdu, a typical fast 13 developing metropolitan of southwest China and were analyzed for seven OPEs in atmospheric PM2.5. -3 14 The concentrations of Σ7 OPEs in PM2.5 ranged from 5.83 to 6.91 ng· m , with a mean of 6.6 ± 3.3 15 ng· m-3, and the primary pollutants were TBEP, TnBP, TCEP and TCPP which together made up more 16 than 80% in the Σ7 OPEs. The concentrations of Σ7 OPEs were higher in autumn/winter than that in 17 summer. Nonparametric test showed that there was no significant difference in Σ7 OPEs concentrations 18 among the six sampling sites, but the occurrence of unexpected high level of individual OPEs at 19 different sites in autumn might indicate that there was a noteworthy emission. Very strong correlation 2 20 (R = 0.98, p<0.01) between the OPEs in soil and in PM2.5 was observedsuggested the atmospheric 21 PM2.5 settlement is an important source of OPEs in soil. -
Dubai: CREATING the WORLD’S LONGEST DRIVERLESS NETWORK INSIDE: Light Rail Awards 2012 Special
THE INTERNATIONAL LIGHT RAIL MAGAZINE HEADLINES l Paris tram network reaches 65km l AnsaldoBreda enters Chinese LRT market l Edinburgh tramway to open early? DUBAI: CREATING THE WORLD’S LONGEST DRIVERLESS NETWORK INSIDE: Light Rail Awards 2012 special Olsztyn Halberstadt Poland’s first How do you new-build sustain a system tramway in with a declining over 50 years population? DECEMBER 2012 No. 900 WWW . LRTA . ORG l WWW . TRAMNEWS . NET £3.80 PESA Bydgoszcz SA 85-082 Bydgoszcz, ul. Zygmunta Augusta 11 tel. (+48)52 33 91 104 fax (+48)52 3391 114 www.pesa.pl e-mail: [email protected] Layout_Adpage.indd 1 26/10/2012 16:15 Contents The official journal of the Light Rail Transit Association 448 News 448 DECEMBER 2012 Vol. 75 No. 900 Three new lines take Paris tram network to 65km; www.tramnews.net Mendoza inaugurates light rail services; AnsaldoBreda EDITORIAL signs Chinese technology partnership; München orders Editor: Simon Johnston Siemens new Avenio low-floor tram. Tel: +44 (0)1832 281131 E-mail: [email protected] Eaglethorpe Barns, Warmington, Peterborough PE8 6TJ, UK. 454 Olsztyn: Re-adopting the tram Associate Editor: Tony Streeter Marek Ciesielski reports on the project to build Poland’s E-mail: [email protected] first all-new tramway in over 50 years. Worldwide Editor: Michael Taplin Flat 1, 10 Hope Road, Shanklin, Isle of Wight PO37 6EA, UK. 457 15 Minutes with... Gérard Glas 454 E-mail: [email protected] Tata Steel’s CEO tells TAUT how its latest products offer News Editor: John Symons a step-change reduction in long-term maintenance costs. -
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. -
Development of High-Speed Rail in the People's Republic of China
A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Haixiao, Pan; Ya, Gao Working Paper Development of high-speed rail in the People's Republic of China ADBI Working Paper Series, No. 959 Provided in Cooperation with: Asian Development Bank Institute (ADBI), Tokyo Suggested Citation: Haixiao, Pan; Ya, Gao (2019) : Development of high-speed rail in the People's Republic of China, ADBI Working Paper Series, No. 959, Asian Development Bank Institute (ADBI), Tokyo This Version is available at: http://hdl.handle.net/10419/222726 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle You are not to copy documents for public or commercial Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich purposes, to exhibit the documents publicly, to make them machen, vertreiben oder anderweitig nutzen. publicly available on the internet, or to distribute or otherwise use the documents in public. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, If the documents have been made available under an Open gelten abweichend von diesen Nutzungsbedingungen die in der dort Content Licence (especially Creative Commons Licences), you genannten Lizenz gewährten Nutzungsrechte. may exercise further usage rights as specified in the indicated licence. https://creativecommons.org/licenses/by-nc-nd/3.0/igo/ www.econstor.eu ADBI Working Paper Series DEVELOPMENT OF HIGH-SPEED RAIL IN THE PEOPLE’S REPUBLIC OF CHINA Pan Haixiao and Gao Ya No. -
(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. -
5G for Trains
5G for Trains Bharat Bhatia Chair, ITU-R WP5D SWG on PPDR Chair, APT-AWG Task Group on PPDR President, ITU-APT foundation of India Head of International Spectrum, Motorola Solutions Inc. Slide 1 Operations • Train operations, monitoring and control GSM-R • Real-time telemetry • Fleet/track maintenance • Increasing track capacity • Unattended Train Operations • Mobile workforce applications • Sensors – big data analytics • Mass Rescue Operation • Supply chain Safety Customer services GSM-R • Remote diagnostics • Travel information • Remote control in case of • Advertisements emergency • Location based services • Passenger emergency • Infotainment - Multimedia communications Passenger information display • Platform-to-driver video • Personal multimedia • In-train CCTV surveillance - train-to- entertainment station/OCC video • In-train wi-fi – broadband • Security internet access • Video analytics What is GSM-R? GSM-R, Global System for Mobile Communications – Railway or GSM-Railway is an international wireless communications standard for railway communication and applications. A sub-system of European Rail Traffic Management System (ERTMS), it is used for communication between train and railway regulation control centres GSM-R is an adaptation of GSM to provide mission critical features for railway operation and can work at speeds up to 500 km/hour. It is based on EIRENE – MORANE specifications. (EUROPEAN INTEGRATED RAILWAY RADIO ENHANCED NETWORK and Mobile radio for Railway Networks in Europe) GSM-R Stanadardisation UIC the International -
PPP Case Studies – People's Republic of China
1 PPP Case Studies People’s Republic of China Craig Sugden, Principal PPP Specialist East Asia Department 13 May 2015 The views expressed in this presentation are the views of the author and do not necessarily reflect the views or policies of the Asian Development Bank Institute (ADBI), the Asian Development Bank (ADB), its Board of Directors, or the governments they represent. ADBI does not guarantee the accuracy of the data included in this paper and accepts no responsibility for any consequences of their use. Terminology used may not necessarily be consistent with ADB official terms. 2 Background PPP Case Studies: the PRC PRC’s PPP projects 3 EIU’s 1,186 infrastructure PPPs finalised in the Infrascope PRC from 1990 to 2014 highlighted the PRC’s Compared to 838 in India, 126 in the Philippines, 108 in Indonesia, 73 in Sri Lanka, “phenomenal” 65 in Bangladesh wealth of project 648 active PPPs in the UK, 567 in the experience Republic of Korea, 127 in Australia (as of 2013) Source: World Bank. 2015. Private Participation in Infrastructure Projects Database and Burger P. and I. Hawkesworth. 2013. Capital Budgeting and Procurement Practices. Organization for Economic Cooperation and Development. Paris. PPP Case Studies: the PRC PPP activity in the PRC 4 Note: Excludes projects that are led by a majority-state owned enterprise Source: World Bank PIAF Database and IMF PPP Case Studies: the PRC Case studies 5 • Beijing Subway Line 4 The PRC has • Shanghai Huadian Xinzhuang Industrial Park combined cycle heat and power project • Baiyinchagan-Yongtaigong -
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. -
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. -
An Analysis of Time-Varying Crowding on Subway Platforms Using AFC Data in Seoul Metropolitan Subway Network
Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 6 March 2020 doi:10.20944/preprints202003.0109.v1 Article An Analysis of Time-Varying Crowding on Subway Platforms using AFC Data in Seoul Metropolitan Subway Network Seongil Shin 1, Sangjun Lee 2* 1 Department of Transportation System Research, The Seoul Institute; [email protected] 2 Department of Transportation System Research, The Seoul Institute; [email protected] * Correspondence: [email protected](S.L.); [email protected](S.S.) Abstract: Management of crowding at subway platform is essential to improving services, preventing train delays and ensuring passenger safety. Establishing effective measures to mitigate crowding at platform requires accurate estimation of actual crowding levels. At present, there are temporal and spatial constraints since subway platform crowding is assessed only at certain locations, done every 1~2 years, and counting is performed manually Notwithstanding, data from smart cards is considered real-time big data that is generated 24 hours a day and thus, deemed appropriate basic data for estimating crowding. This study proposes the use of smart card data in creating a model that dynamically estimates crowding. It first defines crowding as demand, which can be translated into passengers dynamically moving along a subway network. In line with this, our model also identifies the travel trajectory of individual passengers, and is able to calculate passenger flow, which concentrates and disperses at the platform, every minute. Lastly, the level of platform crowding is estimated in a way that considers the effective waiting area of each platform structure. Keywords: Automated Fare Collection (AFC), Smart Card, Crowding, Practical Waiting Area, Subway Station Platform, Time-Varying, Late-Night Peak 1.