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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. -
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 -
METROS/U-BAHN Worldwide
METROS DER WELT/METROS OF THE WORLD STAND:31.12.2020/STATUS:31.12.2020 ّ :جمهورية مرص العرب ّية/ÄGYPTEN/EGYPT/DSCHUMHŪRIYYAT MISR AL-ʿARABIYYA :القاهرة/CAIRO/AL QAHIRAH ( حلوان)HELWAN-( المرج الجديد)LINE 1:NEW EL-MARG 25.12.2020 https://www.youtube.com/watch?v=jmr5zRlqvHY DAR EL-SALAM-SAAD ZAGHLOUL 11:29 (RECHTES SEITENFENSTER/RIGHT WINDOW!) Altamas Mahmud 06.11.2020 https://www.youtube.com/watch?v=P6xG3hZccyg EL-DEMERDASH-SADAT (LINKES SEITENFENSTER/LEFT WINDOW!) 12:29 Mahmoud Bassam ( المنيب)EL MONIB-( ش ربا)LINE 2:SHUBRA 24.11.2017 https://www.youtube.com/watch?v=-UCJA6bVKQ8 GIZA-FAYSAL (LINKES SEITENFENSTER/LEFT WINDOW!) 02:05 Bassem Nagm ( عتابا)ATTABA-( عدىل منصور)LINE 3:ADLY MANSOUR 21.08.2020 https://www.youtube.com/watch?v=t7m5Z9g39ro EL NOZHA-ADLY MANSOUR (FENSTERBLICKE/WINDOW VIEWS!) 03:49 Hesham Mohamed ALGERIEN/ALGERIA/AL-DSCHUMHŪRĪYA AL-DSCHAZĀ'IRĪYA AD-DĪMŪGRĀTĪYA ASCH- َ /TAGDUDA TAZZAYRIT TAMAGDAYT TAỴERFANT/ الجمهورية الجزائرية الديمقراطيةالشعبية/SCHA'BĪYA ⵜⴰⴳⴷⵓⴷⴰ ⵜⴰⵣⵣⴰⵢⵔⵉⵜ ⵜⴰⵎⴰⴳⴷⴰⵢⵜ ⵜⴰⵖⴻⵔⴼⴰⵏⵜ : /DZAYER TAMANEỴT/ دزاير/DZAYER/مدينة الجزائر/ALGIER/ALGIERS/MADĪNAT AL DSCHAZĀ'IR ⴷⵣⴰⵢⴻⵔ ⵜⴰⵎⴰⵏⴻⵖⵜ PLACE DE MARTYRS-( ع ني نعجة)AÏN NAÂDJA/( مركز الحراش)LINE:EL HARRACH CENTRE ( مكان دي مارت بز) 1 ARGENTINIEN/ARGENTINA/REPÚBLICA ARGENTINA: BUENOS AIRES: LINE:LINEA A:PLACA DE MAYO-SAN PEDRITO(SUBTE) 20.02.2011 https://www.youtube.com/watch?v=jfUmJPEcBd4 PIEDRAS-PLAZA DE MAYO 02:47 Joselitonotion 13.05.2020 https://www.youtube.com/watch?v=4lJAhBo6YlY RIO DE JANEIRO-PUAN 07:27 Así es BUENOS AIRES 4K 04.12.2014 https://www.youtube.com/watch?v=PoUNwMT2DoI -
TOD Case Studies
TOD K P CASE STUDIES COMPILATION OF GOOD AND INNOVATIVE PRACTICES © 2021 The World Bank TOD K P LEVEL 1 SCREENING A comprehensive list of cities from low-middle income countries were 1. Mexico City, Mexico shortlisted as potential candidates for case studies. This list of case 2. Bogota, Colombia studies was derived from: 3. Lima, Peru • Case studies already included in World Bank publications/ workshops and presentations 4. Recife, Brazil • Part of GPSC/ World Bank-identified city TOD list 5. Curitiba, Brazil • Representative of the TOD framework as well as geographic 6. Mumbai, India distribution: 7. Delhi, India o Scale- City/ Corridor/ Station 8. Hubli-Dharwad, India 9. Nanchang, China o Context- Urban/ Suburban/ Greenfield 10. Shenzhen, China o Mode of higher order transit- BRT/ MRT/ Heavy Rail 11. Guangzhou, China o Size of city- Large and medium-sized cities (Tier 1 and Tier 2) 12. Shijiazhuang, China 13. Tianjin, China 14. Hong Kong SAR, China 15. Ho Choi Minh City, Vietnam 16. Hue, Vietnam 17. Kuala Lumpur, Malaysia LIST OF BEST PRACTICE CITIES 18. Jakarta, Indonesia 19. Addis Ababa, Ethiopia 20. Dakar, Senegal 21. Abidjan, Africa 22. Johannesburg, South Africa 23. Cape Town, South Africa 24. Santiago, Chile 25. Dar es Salaam, Tanzania 500 CASE STUDIES TOD K P LEVEL 2 SCREENING The following table provides the updated list of relevant COMPLETE LIST OF CITIES EVALUATED FOR LEVEL case studies based on World Bank’s input, case studies 2 SCREENING & RECOMMENDED CITIES FOR CASE recommended by experts and peer-reviewers, WRI/ITDP STUDIES: and IBI projects that explain good practices and innovative 1. -
Macsun Solar Energy Technology Co.,Limited Company Address
Macsun Solar Energy Technology Co.,Limited Address: Huafeng Industrial Park, Hengkeng, Guantian Village, Beihuan Road, Shiyan Town, Baoan, Shenzhen, 518108,China T: 0086 755 8981 6120 F: 0086 755 8525 4819 E: [email protected] W: www.macsunsolar.com ____________________________________________________________________________________ Company Address: Xinweirun Industrial Park, Furong Path, Songgang Town, Baoan District, Shenzhen, 518105, China 地址：深圳市宝安区松岗街道潭头社区芙蓉路 8 号鑫伟润高新产业园 518105 Company Map: www.solarenergy86.com Macsun Solar Energy Technology Co.,Limited 1 / 3 Macsun Solar Energy Technology Co.,Limited Address: Huafeng Industrial Park, Hengkeng, Guantian Village, Beihuan Road, Shiyan Town, Baoan, Shenzhen, 518108,China T: 0086 755 8981 6120 F: 0086 755 8525 4819 E: [email protected] W: www.macsunsolar.com ____________________________________________________________________________________ Traffic Information: Airport nearby: 1, Shenzhen Bao'an International Airport (深圳宝安国际机场）, and the website is http://eng.szairport.com/. It is about 22 kilometers from Macsun Solar factory. 2, Hong Kong International Airport(香港国际机场), then take train to Luohu Frontier Inspection Station. It is about 51 kilometers from Macsun Solar factory to Luohu Station. Train Station: 1, Guangming Station（光明城站）, it is about 15 kilometers from Macsun Solar factory. 2, Shenzhen North Station（深圳北高铁站）, it is about 40.1 kilometers from Macsun Solar factory. 3, Shenzhen Station（深圳火车站）, it is about 51 kilometers from Macsun Solar factory. Metro Station: 1, Houting Metro Station @ Line 11（后亭地铁站）, it is about 5 kilometers from Macsun Solar factory. Bus Station: 1, Songgang Bus Station（松岗汽车站）, Baoan District: It is about 4 kilometers from Macsun Solar factory. 2, Guangming Bus Station（光明客运中心）, Guangming District: It is about 14 kilometers from Macsun Solar factory. -
Chapter 5 Plans for Cooperative Development of Transportation �� Chapter 5 �� Plans for Cooperative Development of Transportation
� � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � �������� ����� �� ��� ������������ ����������� �������� ����� �� ��� ������������ ����������� �� ��� ������� ����� ����� ����� ��������� �� ��� ������� ����� ����� ����� ��������� Chapter 5 Plans for Cooperative Development of Transportation �� Chapter 5 �� Plans for Cooperative Development of Transportation To implement the "Strategy for High Accessibility", this study has taken into account the major transportation plans at national, provincial and city levels relating to the Greater PRD City-region (refer to Column 5-1 for details), and the cross-boundary transportation infrastructure agreed by Guangdong, Hong Kong and Macao. On this basis, the aspects that need further actions are identified, including the proposals that have not been considered before, the proposals that have been considered but need to be coordinated and integrated, as well as the approved projects for which the implementation should be expedited. Three types of cooperative development plans on transportation are recommended, namely, the regional transportation hub plan, inter-city transportation plan and cross-boundary transportation plan. 5.1 Regional Transportation Hub Plan 5.1.1 "Multi-airport System" ―― To implement the "Action Agenda for Implementation of "the Outline" by the Five Airports in the Greater PRD Region" (the "Action Agenda"): based on the consensus under the Action Agenda, the concerned cities should continue to foster cooperation and jointly ask the central government to open up the airspace. Intercity railways and expressways connecting the airports and ports in the Greater PRD City-region should be built (Table 5-1). Studies should be carried out on the five major airports (Figure 5-1) with regard to their routes, flights, passengers, hardware, timing and arrangements for separating international and domestic as well as passenger and cargo flights in order to identify their roles in the economic integration in the City-region. -
Algorithm and Application for Labeling Workplace and Residence Based
Advances in Computer Science Research, volume 87 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019) Algorithm and Application for Labeling Workplace and Residence based on Traffic Big Data Jie Wang a, Yunyao Zhou b, * Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Ministry of Education, School of Information and Engineering, Wuhan University of Technology, Wuhan, China a [email protected], b, * [email protected] Abstract. Congestion in urban makes too many commuters choose public transport for traveling. A large number of public transportation travel data can accurately calculate workplace and residence of the regular passengers. The label of workplace and residence helps to analyze urban migration and the distribution of workplace and residence. Keywords: The label of workplace and residence; Regular travel; Traffic big data. 1. Introduction Nowadays, the urban population is rising sharply, and travel problems are getting worse. With the advantages of less consumption of resources, less space, and low travel cost, urban public transport has increasingly become the main solution to solve the problem of urban traffic congestion. At present, the priority development of urban public transport in China has risen to the national strategic level. Shenzhen has witnessed rapid development of public transportation in recent years. The average daily passenger volume of Shenzhen public transportation has exceeded 10 million, ranking among the top cities in China. Among them, the share rate of motorized travel in bus stations is 56%, and the public transport system is mature and convenient, which has become the primary option for people to travel. The average daily passenger volume of rail transit has exceeded 4.48 million, and the improvement of equipment quality enables a large number of high-quality user travel data to be used. -
Research Article Evaluation of the Adaptability of an EPB TBM to Tunnelling Through Highly Variable Composite Strata
Hindawi Mathematical Problems in Engineering Volume 2021, Article ID 5558833, 14 pages https://doi.org/10.1155/2021/5558833 Research Article Evaluation of the Adaptability of an EPB TBM to Tunnelling through Highly Variable Composite Strata Tao Li ,1 Jinwu Zhan,2 Chao Li,3 and Zhongsheng Tan1 1School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China 2School of Civil Engineering, Fujian University of Technology, Fuzhou 350118, China 3Shenzhen Urban Public Safety and Technology Institute, Shenzhen 518046, China Correspondence should be addressed to Tao Li; [email protected] Received 3 March 2021; Revised 22 June 2021; Accepted 19 July 2021; Published 28 July 2021 Academic Editor: Abdul Qadeer Khan Copyright © 2021 Tao Li 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. )e adaptability of an earth pressure balance (EPB) tunnel boring machine (TBM) to complex geological strata needs to be evaluated when a tunnel project is set up. It is helpful for better design and more suitable technical parameters of the machine. Because the factors that influence adaptability are numerous and interrelated, their effects also differ; hence, a quantitative assessment of adaptability is generally difficult. In the present study, a method for quantitatively evaluating the excavation adaptability of an EPB TBM was developed using an analytic hierarchy process (AHP) and fuzzy comprehensive evaluation. )e method first involves an initial selection of factors that may influence tunnelling. Based on the expert questionnaire and their influence weights determined by AHP, the 10 evaluation indexes from 25 primary indexes were selected to establish the evaluation index system (EIS) including a target, criteria, and index level. -
Pd-R03 Land Use and Transportation Integration Best Practices
TOD K P PD-R03 LAND USE AND TRANSPORTATION INTEGRATION BEST PRACTICES Examples of land use and transportation integration that influenced significant improvements in cities Type: Reference Document © 2021 The World Bank TOD K P Disclaimer: The Transit-Orientated Development Implementation Resources & Tools knowledge product is designed to provide a high-level framework for the implementation of TOD and offer direction to cities in addressing barriers at all stages. As the context in low and middle-income cities varies, the application of the knowledge product must be adapted to local needs and priorities, and customized on a case-by-case basis. © 2021 International Bank for Reconstruction and Development / The World Bank CURITIBA, BRAZIL + PROJECT INFORMATION Location: Curitiba, Parana, Brazil Overview: Curitiba is home to nearly 2 million people. Funding: URBS (Govt.) Between 1950-2005, Curitiba’s metropolitan area witnessed a sixfold increase in its Timeline: 40 Years population- from 300,000 inhabitants in 1950 to 1.9 million in 2005. It is one of Brazil’s wealthiest Project Settings: Mixed-use (residential/ cities and has one of the highest private car- commercial) main street ownership rates in Brazil, yet it averages more transit trips than New York, Rio or Sao Paolo. PROJECT STORY X $ 1963-1965 The URBS- Urbanization The Curitiba Institute The 1965 Master Plan set the stage 2) creating structural axes of Curitiba was created in of Research and Urban for Curitiba’s linear transit-oriented corridors, lined with high-density 1963 with the purpose of Planning (IPPUC) was created urban form by 1) limiting circular mixed-use development that would administering the Fund for the on December 1st, 1965 to sprawl moving outward from taper to lower-density away from Urbanization of Curitiba, to execute and develop urban the urban core, thus decreasing the corridors; 3) typical structural develop infrastructure projects. -
Latest Projects on 7 June, the Group Acquired Ningbo Chunxiao 161 Plot. the Plot Is Located at the Core of Meishan New Distr
HKSE Stock Code: 960 Latest Projects On 7 June, the Group acquired Ningbo Chunxiao 161 plot. The plot is located at the core of Meishan New District, near the Group’s hot-selling project Rose and Ginkgo Villa and the south side is near Mingyue Lake and Wanren Beach. It thus has exceptional sightseeing beauty. The plot Beijing The Orient Original benefits from convenient transportation and （北京 景粼原著） comprehensive daily amenities nearby. The plot covers a 2 2 site area of 133,900 m , with a planned GFA of 281,100 m , and the consideration is RMB1.226 billion, with an accommodation value of RMB4,360/ m2. The plot will be developed into a mid- to high-end residential community targeting upgraders. On 12 June, the Group acquired the Huishan Xincheng plot in Wuxi. The plot is located at the northern part of Huishan Chengdu Sapphire Bay （成都 听蓝湾） Xincheng, positioned at the intersection of Shanghai-Nanjing Expressway, Xicheng Expressway and Xiyi Expressway, and therefore easily accessible. The plot benefits from excellent commercial amenities, education and landscape resources. The plot covers a site area of 93,700 m2, with a planned GFA of 187,500 m2, and the consideration is RMB1.478 billion, with an accommodation value of RMB7,883/ m2. The plot will be developed into a mid- to high-end residential community targeting Beijing Daxing Paradise Walk upgraders. （北京 大兴天街） On 13 June, the Group acquired the Suzhou Qingjianhu plot. It is located at the northern part of Suzhou Industrial Park. The plot has quality educational facilities and enjoys a good natural environment. -
20200731111038627.Pdf
轨道交通运营网络线路图 System Map Illst:HY_Invis 清林径 号线 碧头 号线 燕岭 号线 号线 26 13 Xinming Qinglinjing 坪地六联 Line 11 Bitou Line 26 Yanling 公明北 Line 13 11 水荫 Hospital 22Line 22 号线 五联 Pingdi-Liulian Shuiyin Gongming North 新明医院 庙溪 号线 31Line 31 Wulian 号线 号线 Line 17 号线 Miaoxi 17 Olympic Stadium 3Line 3 6Line 6 6Line 6 金融城 山厦 Shuangyongjie Fenggang North 低碳城 白石塘 富坪 松岗 溪头 山门 薯田埔 合水口 公明广场 南庄 楼村 光明北 翠湖 中山大学 黄江南 黄江中心 Financial City Shanxia 双拥街 凤岗 奥体北 Low-Cabon City Baishitang Fuping Songgang Xitou Shanmen Shutianpu Heshuikou Gongming Nanzhuang Loucun Guangming Cuihu Zhongshan Huangjiang Huangjiang 回龙埔 龙岗汽车站 老围 龙城中 坪西 坪地 Square North University South Center Huilongpu Laowei Longcheng Middle 光明大街 号线 Longgang Bus Pingxi Pingdi 长安 松元厦 观澜湖 牛湖 禾花 Station Chang‘An Guangming Line 4 平湖 号线 观澜 Songyuanxia Guanlan Lake Niuhu 4 Hehua 号线 奥体中心 大头岗 Street Pinghu 半岛北 后亭 29 Guanlan 10 Olympic Datougang Line 29 Line 10 Peninsula North Houting 观光 Stadium Centre 号线 公明南 Guanguang 华南城 新南 Changhu 奥体南 龙平 新生 惠州南站 12Line 12 Gongming South 东周 Huanan City Xinnan 龙翔 Huizhou South Olympic Stadium Longping Xinsheng Dongzhou 长湖 South Longxiang Station 号线 号线 18Line 18 富安 大运北 16Line 16 沙田 会议中心 海上田园 沙井 上寮 将石 长圳 光明城 鹭湖 Fu’An Unviersiade 梨园 Jiangshi Liyuan Shatian Conference Waterland Shajing Shangliao Changzhen Guangmingcheng Luhu North 秋湖 Center Resert 茜坑 Qiuhu Xikeng 科技馆 号线 木古 号线 号线 马鞍山 Line 25 鹅公岭 14Line 14 Technology 25 Mugu Ma’An Hill 20Line 20 光侨 E’gongling 爱联 吉祥 Museum Guangqiao 竹村 大运 龙城广场 南联 双龙 沙田 白云 Ailian Jixiang Shatian Zhucun Universiade Longcheng Square Nanlian Shuanglong Baiyun 龙南 上李朗 -
Resolving Surface Displacements in Shenzhen of China from Time Series Insar
remote sensing Article Resolving Surface Displacements in Shenzhen of China from Time Series InSAR Peng Liu 1,2,* ID , Xiaofei Chen 2, Zhenhong Li 3 ID , Zhenguo Zhang 2, Jiankuan Xu 1,2, Wanpeng Feng 4, Chisheng Wang 5, Zhongwen Hu 5, Wei Tu 5 ID and Hongzhong Li 6 1 SUSTech Academy for Advanced Interdisciplinary Studies, Southern University of Science and Technology, Shenzhen 518055, China; [email protected] 2 Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen 518055, China; [email protected] (X.C.); [email protected] (Z.Z.) 3 School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK; [email protected] 4 Guangdong Provincial Key Laboratory of Geodynamics and Geohazards, School of Earth Sciences and Engineering, Sun Yat-Sen University, Guangzhou 510275, China; [email protected] 5 School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China; [email protected] (C.W.); [email protected] (Z.H.); [email protected] (W.T.) 6 Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; [email protected] * Correspondance: [email protected]; Tel.: +86-755-8801-0000 Received: 6 June 2018; Accepted: 22 July 2018; Published: 23 July 2018 Abstract: Over the past few decades, the coastal city of Shenzhen has been transformed from a small fishing village to a mega city as China’s first Special Economic Zone. The rapid economic development was matched by a sharp increase in the demand for usable land and coastal reclamation has been undertaken to create new land from the sea.