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Chinese Cities of Opportunities 2018 Report
Beijing Harbin Lanzhou Jinan Wuhan Ningbo Guangzhou Kunming Shanghai Shenyang Xi’an Qingdao Wuxi Fuzhou Shenzhen Guiyang Tianjin Dalian Taiyuan Zhengzhou Suzhou Xiamen Zhuhai Chongqing Urumqi Shijiazhuang Nanjing Hangzhou Changsha Chengdu Chinese Cities of Opportunity 2018 Cities: Creating a beautiful life and new opportunities In modern society, cities are the most Changsha-Zhuzhou-Xiangtan Region, offers a comprehensive evaluation of the important spaces in which people can the Guanzhong Plain urban cluster, competitiveness, influence and potential pursue a better life. China has the Chengdu-Chongqing Economic Zone, of urban development to provide largest urban population in the world. In the central-southern of Liaoning and benchmarks for overall urban 2017, over 58% of China’s population, or Harbin-Changchun urban cluster. development, and has come to exert an more than 800 million people, lived in People gravitate toward areas with extensive influence in China. On the cities, and the urbanisation rate for economic opportunities and high quality basis of Chinese Cities of Opportunity residents is increasing by over one public services. Therefore, enhancing 2017, the number of sample cities percentage point every year. The the inclusiveness, balance and observed this year has increased to 30, advancement of urbanisation has sustainability of the development of and special attention has been given to pushed forward the intensive and urban clusters with large cities is a the development of national strategic efficient use of resources, promoted significant undertaking at the core of regions such as Guangdong-Hong innovation and enabled the economy to resolving “the principal contradiction Kong-Macau Greater Bay Area and prosper, while providing better basic between unbalanced and inadequate Xiong’an New Area. -
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 -
Press Release NCC to Construct Public Transport Hub by E18 and Arninge
Press release August 2, 2019 NCC to construct public transport hub by E18 and Arninge Station NCC has been commissioned by the Swedish Transport Administration to construct a weather-protected pedestrian walkway over European route E18 and the Roslagsbanan light rail line connecting the new Arninge Station with Arninge retail park. The assignment also includes redevelopment of the Arninge interchange, several new bus stops, bus lanes and water and wastewater works. The contract is valued at SEK 355 million. Arninge Station will become a public transport hub for the northeastern municipalities in Stockholm County and connect the Roslagsbanan light rail line, and the new Arninge station, with bus rapid transit (BRT) to Stockholm, Norrtälje and Vaxholm and local bus routes to Åkersberga, Vallentuna and Danderyd Hospital. Parking for bicycles and park- and-ride facilities will be build adjacent to the Arninge travel hub. NCC’s assignment includes the construction of a weather-protected pedestrian walkway over European route E18 and the Roslagsbanan light rail line, including elevators and escalators for easy and safe access to bus stops adjacent to the E18 and local buses as well as to the new Arninge station on the Roslagsbanan light rail line. “We are looking forward to a productive partnership with the Swedish Transport Administration and will place great emphasis on minimizing disruption during the construction phase. The contract encompasses the construction of new infrastructure, which will benefit public and sustainable transportation, as well as water and wastewater works, and is well aligned with the expertise we possess,” says Ingegerd Simonsson, Regional Manager NCC Infrastructure. -
Loan 2915-Prc: Jiangxi Fuzhou Urban Integrated Infrastructure Improvement
LOAN 2915-PRC: JIANGXI FUZHOU URBAN INTEGRATED INFRASTRUCTURE IMPROVEMENT BUS RAPID TRANSIT (BRT)/ NON-MOTORIZED TRANSPORT (NMT) DESIGN, IMPLEMENTATION AND OPERATION SUPPORT I. INTRODUCTION 1. Sustainably supporting rapid urbanization is a key development challenge for the PRC, where 300 million people are expected to move to cities by 2020. Such mass migration will require a major expansion of second-tier cities such as Jiangxi Fuzhou to relieve pressure on existing urban centers and provide economic opportunities for vast numbers of people now engaged in agriculture. Major investments in urban infrastructure, transport, and related services will be necessary to accommodate development in second-tier cities and support sustainable urbanization and inclusive growth. 2. Fuzhou is a prefectural level city in Jiangxi Province. It has a total population of 3.8 million, of which 1.0 million is urban. The Fuzhou urban district where the project is located has a current population of about 500,000 and is expected to grow to 750,000 by 2020. In 2012, the Asian Development Bank (ADB) approved a loan to support the city (i) inclusive growth and balanced development by promoting sustainable urbanization and (ii) resource efficiency and environmental sustainability by promoting efficient and sustainable urban transport. 3. The project includes the following five main outputs intended to substantially improve the urban transport system in Fuzhou. Output 1: Bus rapid transit system Output 2: Urban transport hub Output 3: Fenggang River greenway Output 4: Station access roads Output 5: Institutional strengthening and capacity building 4. Output 1: Bus rapid transit system. The BRT corridor will extend 12.2 km from the north of Fuzhou through the central business district to the urban transport hub at the new railway station (output 2). -
Hen Chennai Central Becomes the City's Transport
hen Chennai Central becomes the city's transport hub Urban intermodal integration will become a reality at the station when Metro Ra il becomes fu lly operational in a few years Sunttha Sekar these corridors. ''We aTe expecting the CH ENNAI: When the Metro PUBLIC TRANSPORT N'ET WORK foo tfall at the station to run Skywalk Rai l is ready to run, the Nearly every form of public ground transport - buses and trains (suburban, inter-State and mass rapid transit system) - will be to several lakhs," says an Chennai Central station lin ked to the Metro Ra il stat ion at Chennai Central other official. junction will be a classic case In a joint venture, Afoons closer to of urban intermodal and Transtonnelstroy integration. bagged the contract worth reality now Nearly every form of pub Rs. 1.566 crore from CMRL lie ground transport - buses to construct Chennai Cen Special Correspondent and trains (suburban, inter tral Metro along with eight State and mass rapid transit other stations. CHENNAI : The city's first pe· destrian skyw-dlk is closer system-MRTS) - will be AiqlOrl check-in linked to the Metro Rail sta to reality wit~ the first tion at Chennai Central. ulslatiOIl phase connecting six A few years down the line, This apart, CMRL also points geltin" clearance. when Metro Rail becomes plans to introduce airport The skywalk will come operational, this point will check-in facili ty at Central UI) along Poonamallee be the ideal interconnect fo r Metro station. According to Jligb Road and connect public transport in the city, CMRL offici als. -
Ancient Genomes Reveal Tropical Bovid Species in the Tibetan Plateau Contributed to the Prevalence of Hunting Game Until the Late Neolithic
Ancient genomes reveal tropical bovid species in the Tibetan Plateau contributed to the prevalence of hunting game until the late Neolithic Ningbo Chena,b,1, Lele Renc,1, Linyao Dud,1, Jiawen Houb,1, Victoria E. Mulline, Duo Wud, Xueye Zhaof, Chunmei Lia,g, Jiahui Huanga,h, Xuebin Qia,g, Marco Rosario Capodiferroi, Alessandro Achillii, Chuzhao Leib, Fahu Chenj, Bing Sua,g,2, Guanghui Dongd,j,2, and Xiaoming Zhanga,g,2 aState Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences (CAS), 650223 Kunming, China; bKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, 712100 Yangling, China; cSchool of History and Culture, Lanzhou University, 730000 Lanzhou, China; dCollege of Earth and Environmental Sciences, Lanzhou University, 730000 Lanzhou, China; eDepartment of Earth Sciences, Natural History Museum, London SW7 5BD, United Kingdom; fGansu Provincial Institute of Cultural Relics and Archaeology, 730000 Lanzhou, China; gCenter for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, 650223 Kunming, China; hKunming College of Life Science, University of Chinese Academy of Sciences, 100049 Beijing, China; iDipartimento di Biologia e Biotecnologie “L. Spallanzani,” Università di Pavia, 27100 Pavia, Italy; and jCAS Center for Excellence in Tibetan Plateau Earth Sciences, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, 100101 Beijing, China Edited by Zhonghe Zhou, Chinese Academy of Sciences, Beijing, China, and approved September 11, 2020 (received for review June 7, 2020) Local wild bovids have been determined to be important prey on and 3,000 m a.s.l. -
1 China Xi'an-Ankang Railway Construction Project
China Xi’an-Ankang Railway Construction Project (1)-(3) (CXVII-P73, CXVIII-P73, CXIX-P73) External Evaluator: Mitsue Mishima (OPMAC) Field Survey: October 2004 1. Project Profile and Japan’s ODA Loan Mongolia Beijing North Korea China South Korea Project site Xian Nepal Ankang Bhutan India Taiwan Myanmar Vietnam Laos Project site location map (Xian-Ankang, Shannxi Province) Qingcha Tunnel 1.1 Background The project site (Xian- Ankang) is located in the southern part of Shaanxi Province where the 3000-meter high Qinling Mountains extend over 1500 kilometers, and was therefore undeveloped due to difficulties in transportation and remoteness from cities. Southwest of the project site is Sichuan Province, the largest province with a population of 110 million accounting for 10% of the population of China. However, as there is no other transport route to Sichuan Province than taking a detour around the Qinling Mountains, there were only limited routes to transport energy and everyday commodities from the north. Railway transport from other regions to Sichuan Province depended on Baoching Line (Baoji-Chengdu) from the north and Xiangyu Line (Xiangfan-Ankang-Chongquing) from the east, and both lines were operating to full capacity. It was particularly difficult to double-track Baoching Line, which takes a detour to avoid the Qinling Mountains because of 1) long distance of transport, 2) large cost to transport on a gradient at an angel of 3%, and 3) the topographical problem. The opening of the electrified single track of Xian-Ankang Line not only helped increase the transport capacity within Shaanxi Province but also shortened the traveling distance to Chongquing and eased the transportation load on Baoching Line. -
Shanghai FIR
Beijing FIR 1 2 19 15 8 11 FIR Point Long Type FIR ICAO Code Office Lat Long Lat Input Input Comment 1 452317N 1 1152115E FIR BEIJING ZBPE APAC 452500N 1151900E 45.40054 115.2947 RAN/2 2 FIR BEIJING ZBPE APAC 431500N 1173100E 43.25 117.5167 1 RAN/2 3 FIR BEIJING ZBPE APAC 395400N 1192100E 39.9 119.35 1 4 FIR BEIJING ZBPE APAC 393000N 1195200E 39.5 119.8667 1 5 FIR BEIJING ZBPE APAC 381500N 1200000E 38.25 120 1 6 FIR BEIJING ZBPE APAC 372900N 1173000E 37.48333 117.5 1 7 FIR BEIJING ZBPE APAC 363200N 1151800E 36.53333 115.3 1 8 FIR BEIJING ZBPE APAC 362100N 1145500E 36.35 114.9167 1 9 FIR BEIJING ZBPE APAC 360600N 1142100E 36.1 114.35 1 10 FIR BEIJING ZBPE APAC 345400N 1124700E 34.9 112.7833 1 11 3405N 1 11029E FIR BEIJING ZBPE APAC 340000N 1102900E 34 110.4833 RAN/2 12 FIR BEIJING ZBPE APAC 343200N 1101500E 34.53333 110.25 1 RAN/2 13 FIR BEIJING ZBPE APAC 353200N 1101800E 35.53333 110.3 1 14 FIR BEIJING ZBPE APAC 372800N 1104400E 37.46667 110.7333 1 15 FIR BEIJING ZBPE APAC 382200N 1103600E 38.36666 110.6 1 16 FIR BEIJING ZBPE APAC 384400N 1094100E 38.73333 109.6833 1 17 FIR BEIJING ZBPE APAC 402000N 1070100E 40.33333 107.0167 1 18 FIR BEIJING ZBPE APAC 404300N 1055500E 40.71667 105.9167 1 19 414451N 1 1051345E FIR BEIJING ZBPE APAC 414400N 1051300E 41.74361 105.218 RAN/2 Along political boundary to (1) Note: 1. -
Holocene Environmental Archaeology of the Yangtze River Valley in China: a Review
land Review Holocene Environmental Archaeology of the Yangtze River Valley in China: A Review Li Wu 1,2,*, Shuguang Lu 1, Cheng Zhu 3, Chunmei Ma 3, Xiaoling Sun 1, Xiaoxue Li 1, Chenchen Li 1 and Qingchun Guo 4 1 Provincial Key Laboratory of Earth Surface Processes and Regional Response in the Yangtze-Huaihe River Basin, School of Geography and Tourism, Anhui Normal University, Wuhu 241002, China; [email protected] (S.L.); [email protected] (X.S.); [email protected] (X.L.); [email protected] (C.L.) 2 State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an 710061, China 3 School of Geograpy and Ocean Science, Nanjing University, Nanjing 210023, China; [email protected] (C.Z.); [email protected] (C.M.) 4 School of Environment and Planning, Liaocheng University, Liaocheng 252000, China; [email protected] * Correspondence: [email protected] Abstract: The Yangtze River Valley is an important economic region and one of the cradles of human civilization. It is also the site of frequent floods, droughts, and other natural disasters. Conducting Holocene environmental archaeology research in this region is of great importance when studying the evolution of the relationship between humans and the environment and the interactive effects humans had on the environment from 10.0 to 3.0 ka BP, for which no written records exist. This Citation: Wu, L.; Lu, S.; Zhu, C.; review provides a comprehensive summary of materials that have been published over the past Ma, C.; Sun, X.; Li, X.; Li, C.; Guo, Q. -
Analysis of the Spatial and Temporal Variation Characteristics of Ozone in the Pearl River Delta Region from 2016 to 2020
E3S Web of Conferences 245, 02025 (2021) https://doi.org/10.1051/e3sconf/202124502025 AEECS 2021 Analysis of the Spatial and Temporal Variation Characteristics of Ozone in the Pearl River Delta Region from 2016 to 2020 Huang Chuntao 1*, Lu Jifu 1, Liao Qifeng 2 1 Huali College, Guangdong University of Technology, Guangzhou, Guangdong, 511300 2 Guangdong Kedilong Technology Co., Ltd, Guangzhou, Guangdong, 510000 Abstract: Based on the historical data of air ozone monitoring of Pearl River Delta from 2016 to 2020, the temporal and spatial variation characteristics of ozone in the Pearl River Delta were analyzed. The results showed that the mean change curves of Q3 in the seven cities in the Pearl River Delta region from 2016 to 2020 were M-shaped, and the change trend was basically the same, except Huizhou and Zhuhai. The over standard rate of daily mean value of Q3 in Jiangmen City from 2016 to 2020 was more than 10%, and the over standard situation of daily mean value of Q3 was serious. In the Pearl River Delta region, the change trend of the monthly mean value of Q3 in the same year was basically the same. On the whole, the mean value from August to November was higher, and the mean value in June was lower. The peak of Q3 concentration appeared between 12:00 and 16:00 in the daytime, and it was generally low at night. 1 Preface studies on the spatial and temporal distribution characteristics of Q3 in the Pearl River Delta in recent Ozone (Q3) is an important component of the atmosphere, years. -
Measurements of Peroxyacetyl Nitrate at a Background Site in the Pearl River Delta Region: Production Efficiency and Regional Transport
Aerosol and Air Quality Research, 15: 833–841, 2015 Copyright © Taiwan Association for Aerosol Research ISSN: 1680-8584 print / 2071-1409 online doi: 10.4209/aaqr.2014.11.0275 Measurements of Peroxyacetyl Nitrate at a Background Site in the Pearl River Delta Region: Production Efficiency and Regional Transport 1,2 1,2* 1,2 2† 2 3 Zheng Xu , Likun Xue , Tao Wang , Tian Xia , Yuan Gao , Peter K.K. Louie , 3 Connie W.Y. Luk 1 Environment Research Institute, Shandong University, Ji’nan, Shandong, China 2 Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong, China 3 Environmental Protection Department, the Government of Hong Kong Special Administrative Region, Hong Kong, China ABSTRACT Peroxyacetyl nitrate (PAN) is a trace constituent of the atmosphere but plays important roles in air pollution and atmospheric chemistry. To understand the chemical and transport processes of PAN in the Pearl River Delta (PRD) region, measurements of PAN, its precursors and related parameters were made at a regional background site in late summer and late autumn of 2011. Despite the fairly low ambient levels of PAN in general, several photochemical episodes with peak concentrations of PAN and ozone (O3) as high as 4.86 and 189 ppbv were observed when the region was under influence of a tropical cyclone. PAN showed a seasonal variation with higher levels in autumn than in summer. PAN production efficiency, defined as the amount of PAN formed per unit amount of nitrogen oxides (NOx) oxidized, was examined for the polluted PRD plumes, which indicated that PAN production accounted for on average approximately one third of the NOz formation. -
Visual Analytics for Understanding Traffic Flows of Transport Hubs from Movement Data
Visual Analytics for Understanding Traffic Flows of Transport Hubs from Movement Data Linfang Ding, Jian Yang, Liqiu Meng Lehrstuhl für Kartographie, Technische Universität München Abstract. Transport hubs such as airports, railway stations play an im- portant role in the transportation system and urban development. Under- standing the traffic flows of the transport hubs may help traffic engineers and policy makers to improve the transportation planning and support pas- sengers to efficiently plan their trips. However, analyzing the movement data is very challenging due to their large data volume, implicit spatiotem- poral relationship, and uncertain semantics. In this paper, we investigate effective visual analytics for exploring spatiotemporal, semantic patterns in the traffic flows in/out of the transport hubs. The contribution of this work is three fold: (1) we propose a visual analysis workflow incorporating data mining techniques and visualization methods to enable users visually ex- plore the spatiotemporal and semantic patterns in the traffic flows in/out of the transport hubs; (2) we use a spatial clustering method to extract signifi- cant places and categorize them to different functional regions based on the POI information; (3) we design a novel visual interface that enables the visual exploration of movement data at both an aggregated and an individ- ual level. The visual analytics framework is tested on a real world floating taxi data set in Shanghai. Preliminary experiments show that our proposed framework is feasible and can effectively support visual exploration and identify interesting traffic flow patterns. Keywords: Visual analytics, Traffic flow, Transport hubs 1. Introduction Transport hubs such as airports, railway stations play an important role in the transportation system and urban development.