A Novel Hybrid Evaluation Method for Transfer Efficiency Assessment Between Rail Transit
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长江yangtze River 长江长江yangtze River 麒麟有轨电车QILIN TRAM
六合开发区 雄州 方州广场 八百桥 S8 葛塘 LUHE DEVELOPMENT ZONE XIONGZHOU FANGZHOUGUANGCHANG BABAIQIAO GETANG 化工园 龙池 凤凰山公园 沈桥 金牛湖 HUAGONGYUAN LONGCHI FENGHUANGSHANGONGYUAN SHENQIAO JINNIUHU 大厂 DACHANG 卸甲甸 XIEJIADIAN 信息工程大学 NUIST 高新开发区 GAOXIN DEVELOPMENT ZONE 3 星火路 泰冯路 天润城 XINGHUOLU TAIFENGLU TIANRUNCHENG 林场 东大成贤学院 LINCHANG SEU CHENGXIAN COLLEGE 柳洲东路 LIUZHOUDONGLU 长 江 Yangtze River 泰山新村 S8 TAISHANXINCUN 上元门 SHANGYUANMEN 五塘广场 WUTANGGUANGCHANG 1 2 南大仙林校区 仙林湖 羊山公园 NJU XIANLIN CAMPUS 4 XIANLINHU 小市 YANGSHANGONGYUAN XIAOSHI 迈皋桥 MAIGAOQIAO 经天路 JINGTIANLU 红山动物园 HONGSHAN ZOO 仙林中心 XIANLINZHONGXIN 南京站 NANJING RAILWAY STATION 学则路 XUEZELU 西岗桦墅 XIGANGHUASHU 南京林业大学·新庄 王家湾 聚宝山 NFU / XINZHUANG WANGJIAWAN JUBAOSHAN 长 仙鹤门 XIANHEMEN 蒋王庙 JIANGWANGMIAO 新模范马路 XINMOFANMALU 江 玄武湖 徐庄 XUANWU LAKE XUZHUANG 南京工业大学 NANJING TECH UNIVERSITY 龙华路 玄武门 东流 LONGHUALU XUANWUMEN 汇通路 HUITONGLU DONGLIU 孟北 浦口万汇城 MENGBEI PUKOUWANHUICHENG 岗子村 4 云南路 鸡鸣寺 GANGZICUN 金马路 灵山 YUNNANLU JIMINGSI 钟 山 JINMALU LINGSHAN 文德路 ZHONGSHAN MOUNTAIN 10 WENDELU 龙江 草场门 鼓楼 九华山 临江 LONGJIANG CAOCHANGMEN GULOU JIUHUASHAN LINJIANG 雨山路 YUSHANLU 珠江路 浮桥 ZHUJIANGLU FUQIAO 马群 MAQUN 麒麟有轨电车 汉中门 新街口 西安门 QILIN TRAM HANZHONGMEN XINJIEKOU XI`ANMEN 上海路 大行宫 明故宫 苜蓿园 下马坊 孝陵卫 江心洲 SHANGHAILU DAXINGGONG MINGGUGONG MUXUYUAN XIAMAFANG XIAOLINGWEI JIANGXINZHOU 云锦路 YUNJINLU 绿博园 张府园 常府街 LÜBOYUAN 莫愁湖 ZHANGFUYUAN CHANGFUJIE MOCHOUHU 集庆门大街 JIQINGMENDAJIE 梦都大街 三山街 夫子庙 MENGDUDAJIE SANSHANJIE FUZIMIAO 兴隆大街 奥体中心 XINGLONGDAJIE OLYMPIC STADIUM 河西有轨电车 HEXI TRAM 武定门 WUDINGMEN 奥体东站 OLYMPIC STADIUM EAST 中华门 ZHONGHUAMEN 元通 雨花门 YUANTONG YUHUAMEN 中胜 麒麟有轨电车 ZHONGSHENG -
Mining Public Opinion on Transportation Systems Based on Social Media Data
sustainability Article Mining Public Opinion on Transportation Systems Based on Social Media Data Dawei Li 1,2,*, Yujia Zhang 1,2,* and Cheng Li 3 1 Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast University, Nanjing 210096, China 2 Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic, Southeast University, Nanjing 210096, China 3 China Academy of Transportation Sciences, No.240, Huixinli, Chaoyang District, Beijing 100029, China * Correspondence: [email protected] (D.L.); [email protected] (Y.Z.) Received: 10 June 2019; Accepted: 17 July 2019; Published: 25 July 2019 Abstract: Public participation plays an important role of traffic planning and management, but it is a great challenge to collect and analyze public opinions for traffic problems on a large scale under traditional methods. Traffic management departments should appropriately adopt public opinions in order to formulate scientific and reasonable regulations and policies. At present, while increasing degree of public participation, data collection and processing should be accelerated to make up for the shortcomings of traditional planning. This paper focuses on text analysis using large data with temporal and spatial attributes of social network platform. Web crawler technology is used to obtain traffic-related text in mainstream social platforms. After basic treatment, the emotional tendency of the text is analyzed. Then, based on the probabilistic topic modeling (latent Dirichlet allocation model), the main opinions of the public are extracted, and the spatial and temporal characteristics of the data are summarized. Taking Nanjing Metro as an example, the existing problems are summarized from the public opinions and improvement measures are put forward, which proves the feasibility of providing technical support for public participation in public transport with social media big data. -
Analysis of Space-Time Variation of Passenger Flow and Commuting Characteristics of Residents Using Smart Card Data of Nanjing Metro
sustainability Article Analysis of Space-Time Variation of Passenger Flow and Commuting Characteristics of Residents Using Smart Card Data of Nanjing Metro Wei Yu 1 , Hua Bai 2, Jun Chen 3,* and Xingchen Yan 1 1 College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China; [email protected] (W.Y.); [email protected] (X.Y.) 2 China Design Group Co., Ltd., Nanjing 210014, China; [email protected] 3 School of Transportation, Southeast University, Nanjing 210096, China * Correspondence: [email protected] Received: 7 August 2019; Accepted: 9 September 2019; Published: 12 September 2019 Abstract: The rapid development of cities has brought new challenges and opportunities to traditional traffic management. The usage of smart cards promotes the upgrading of intelligent transportation systems, and also produces considerable big data. As an important part of the urban comprehensive transportation system, Nanjing metro has more than 1 million inbound and outbound records of traffic smart cards used by residents every day. How to process these traffic data and present them visually is an urgent problem in modern traffic management. In this study, five working days with normal weather conditions in Nanjing were selected, and the swiping records of the smart cards were extracted, and the space–time characteristics were analyzed. In terms of time analysis, this research analyzed the 24-h fluctuation of daily average passenger flow, peak hour coefficient of passenger flow, 24-h fluctuation of passenger flow on different metro lines, passenger flow intensity on different metro lines and passenger flow comparison at different stations. In spatial analysis, this study uses thermodynamic charts to represent the inflow and outflow of passengers at different stations during early and evening peak periods. -
Nanjing 2030 Metro Network
至 连云港 To Lianyungang 六合机场 Luhe Airport 14 机场路11 六合火车站 至 南通 南京2030轨道交通网络 Airport Rd Luhe Station To Nantong 雄州西路 Xiongzhou W Rd 凤凰山公园 Fenghuangshan Park Map of Nanjing 2030 Rail Network 六合区政府 雄州 Plan du Réseau Express de Nankin 2030 Luhe District Government Xiongzhou V2010.11.23 长芦 雄州东路 Changlu Xiongzhou E Rd 制作 Created by Créé par 长芦南 Ponts@ South Changlu 灵岩山 Nanjing2020.online.fr/NanjingMetro.pdf Lingyan Mountain 葛塘站 陈家庄至 扬州 至 仪征 Getang Station ChenjiazhuangTo Yangzhou To Yizheng 大厂东 八卦洲 玉带 East Dachang Bagua Island Yudai 大厂 Dachang 大厂西 长 江 Yangtze River Fleuve Yangtsé West Dachang 盘城 吉祥庵 燕子矶 笆斗山 林场 Pancheng Jixiangan Yanziji Badou Mont 6 至 徐州 Linchang Station 沿江镇1 新港开发区 To Xuzhou Yanjingzhen 窑上村 晓庄 Xingang Development Zone 新生圩 Yaoshangcun Xiaozhuang Xinshengwei 龙潭西 龙潭 龙潭东 West Longtan Longtan East Longtan S5 15 至 滁州S4 3 火炬南路 泰冯路 京新路 浦珠路 滨江路 五塘村 干休所 迈皋桥 万寿村 丁家庄 尧化新村 尧化门 仙新路 To Chuzhou Huoju S Rd Taifeng Rd Jingxin Rd Puzhu Rd Binjiang Rd Wutangcun Ganxiusuo Maigaoqiao Wanshoucun Dingjiazhuang Yaohuaxincun Yaohuamen Xianxin Rd 7 保税物流中心 Bonded Logistics Center 红山动物园 营苑南路 8 14 大桥北路 黄方村 Hongshan Zoo Yingyan S Rd 龙潭站 至 上海 Daqiao N Rd 方家营 Huangfangcun 南京火车站 Longtan Station To Shanghai Nanjing Railway Station 建宁路 Fangjiaying 大桥 Jianning Rd 5 城河路 金桥市场 长途东站 宝华 55 9 Daqiao Chenghe Rd Jinqiao Market East Coach Station 仙林站 Baohua 下关 Xianlin Station 珍珠泉 柳州路 Xiaguan 盐仓桥 栖霞站 4 Pearl Spring Liuzhou Rd Yancanqiao Qixia Station 农贸中心 新马路Agricultral Trade Center 福建路 樱花路 岔路口东 白象 Xinma Rd Fujian Rd 虹桥 新模范马路 新庄 Yinhua Rd East Chalukou Baixiang Hongqiao Xinmofan -
Thenanjinger-Volume5-Issue5-Mar2015.Pdf
Introducing some of our contributors, writers and editors Contributing editor Ken Ellingwood is a former foreign and national correspondent Sponsor 主办单位 for the Los Angeles Times and author of Hard Line: Life and Death on the U.S.- SinoConnexion 贺福传媒 Mexico Border. He teaches journalism at Nanjing University. 特约编辑Ken Ellingwood之前是《洛杉矶时报》的国内外通讯记 Publisher 编辑出版 者,同时也是“死亡地带”的作者:描述美国与墨西哥边境的生存 The Nanjinger《南京人》杂志社 与死亡。他目前在南京大学教新闻学。 Operating Organization 运营机构 Nanjing Hefu Cultural Media Co., Ltd. 南京贺福文化传媒有限公司 Executive Editor Laura Helen Schmitt holds a masters in International Multimedia Journalism from Newcastle University in the UK and is fluent in English, German Contributors 特约专稿人 and Mandarin. With an international background, she is fascinated by cross-cul- Shahnaz Mouhamou tural exchange and identity, especially in a location as multi-faceted as China’s. Wang Tiantian 副主编Laura Helen Schmitt毕业于英国纽卡斯尔大学,硕士专业 为国际多媒体新闻学,她精通英语,德语与中文,三种语言。多元 Columnists 专栏作家 的文化背景使得她对于文化交际与文化认同的题目深深地着迷。 Alix Dearing Ben Flake Nick McBride is a strength and conditioning coach originally from the UK. A former Misha Maruma athletic director, he specializes in coaching young athletes and is now Head Coach Nick McBride for the Xianlin Warriors. In his spare time, he obsesses about Newcastle United Rick Staff Football Club. Matthew Stedman Nick McBride是一位来自英国的体能教练。他曾经是一位经验丰富 的体育指导员,他目前作为Xianlin Warriors的主教练,专注于训练 Editor-in-chief 主编 年轻运动员。他及其热爱纽卡斯尔联足球俱乐部。 Frank Hossack 贺福 Executive Editor 副主编 Rick Staff is from the UK and has 20 years cumulative experience as a wine trader, Laura Helen Schmitt 王甜甜 taster, and writer and was editor of ‘Superplonk’, the UK’s popular wine guide, prior to moving to Nanjing in 2008. Contributing Editor 主编顾问 Rick Staff来自英国,有着二十年丰富经验的葡萄酒商人、品酒师、 Ken Ellingwood 作家,并且是《Superplonk》的撰写者,英国很受欢迎的葡萄酒鉴 赏家,于2008年移居南京。 Creative Director 创意总监 Ronald Paredes 泉源 Ronald Paredes is the personification of his motto “mediocrity is a disease we fight Graphic Design and Layout 平面设计与布局 every day”. -
Modern Migrant Workers
#42 VOLUME #5 / ISSUE #4 6 | Editorial 7 | By the Water Cooler | Letter Of The Month 8 | Contributors 10 | Age of Ambition: Modern Migrant Workers 14 | Of Millionaires and Millions; China’s Pensioners 20 | New Age Workforce 21 | Gastronomic Delights 22 | Strainer | Green Tea in Winter 23 | The Trip | Tibetan Highs 26 | In Their Shoes | What Yahoo Thinks of Me 27 | Corker | Spain’s Gains 28 | Next Stop; Epochal Change 30 | Let’s Get Physical | The Ten Commandments 32 | Bats Balls & Bails 34 | Pitchfork | Who Will Feed China? 36 | Our Space 42 | The Nanjinger Bus Table 52 | Airport Shuttle Bus 54 | City Maps 58 | The Gavel | Labout in Foreign Invested Enterprises The new year heralds a number of new innovations to The Nanjinger, bringing it in line with our recently published 2015 City Guide. In our closing pages look She Works out for our airport shuttle bus timetable, Metro Sta- tion Codes that conveniently guide one to the exit nearest your destination (especially handy in the case of Xinjiekou) and the newly introduced Nanjing Zones that assist with orientation. Now it is possible Hard for to find, at a glance, places of interest in a specific area. For example, if searching for destinations in the Confucius Temple part of downtown Nanjing, simply look out for the pink dots that accompany the listings the Money in The Index. Elsewhere, we also welcome new columnist Alix Dearing who forsakes soap box for pitchfork, while the main thrust of this issue is the holy Trinity of Chi- nese society; herein see how intertwine the worlds of migrant workers, a new emerging type of labour and that of the country’s pensioners. -
Thenanjinger-Volume7-Issue1-Oct2016.Pdf
#59 VOLUME #7 / ISSUE #1 6 | Contributors 8 | Editorial 9 | Letter of the Month | Poem 10 | Targetting China 14 | Why So Flashy? 18 | Keep Calm and Advertise [a Lot] 24 | Let’s Get Physical | I’m Gonna Make a Change; It’s Gonna Feel Real Good 26 | Unleashed to Thrive | Is Your Company Smart Enough? 27 | Strainer | The British Additive Conspiracy 28 | The Genuine Article 30 | Cherry Hog | Bringing Your Pet to China 31 | For Art’s Sake | The Side Effects of Crabs 33 | Stir it Up | The Green Stuff 34 | Our Space 41 | The Index 50 | Bus Table 51 | Metro Map 52 | City Maps 56 | The Gavel | Chinese Advertising Law Introducing some of our contributors, editors & designers Sponsor 主办单位 Our Editor-in-chief and Music Critic, Frank Hossack, has been a radio SinoConnexion 贺福传媒 host and producer for the past 30 years, the past 22 of which working in media in China, in the process winning four New York Festivals awards Publisher 编辑出版 for his work, in the categories Best Top 40 Format, Best Editing, Best The Nanjinger《南京人》杂志社 Director and Best Culture & The Arts. 贺福是我们杂志的编辑和音乐评论员,在过去的30年里一直从事电 台主持和电台制片的工作。在中国有近20年的媒体工作经验。工作 Operating Organization 运营机构 期间他曾经四次获得过纽约传媒艺术节大奖,分别是世界前40强节 Nanjing Hefu Cultural Media Co., Ltd. 南京贺福文化传媒有限公司 目奖,最佳编辑奖,最佳导演奖以及最佳文化艺术奖。 Contributors 特约撰稿人 As an Australian journalist living in Nanjing for many years, Renee Gray Melissa Morgernstern has a background in research, print and online publishing, taking great pleasure in discovering more about Nanjing with every article. 作为在南京居住多年的澳大利亚新闻工作者,Renee Gray有着调 Columnists 专栏作家 研以及印刷品和线上出版物的工作背景。她总是乐于在每篇文章里发 Ella Fisher 现关于南京的内容。 Francesca Leiper Nick McBride Nick McBride is a Personal Trainer specialised in coaching young athletes Simon Northcott as well as Director of MIM Sports Ltd., a UK owned business with offices in Nanjing and at home that provides quality sports kit and equipment in Matthew Stedman addition to running sporting academies in soccer, rugby, tennis and fitness. -
Incorporating Smart Card Data in Spatio-Temporal Analysis of Metro Travel Distances
sustainability Article Incorporating Smart Card Data in Spatio-Temporal Analysis of Metro Travel Distances Enhui Chen 1,2, Zhirui Ye 1,2,* and Hui Bi 1,2 1 School of Transportation, Southeast University, 2 Sipailou, Nanjing 210096, China; [email protected] (E.C.); [email protected] (H.B.) 2 Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, 2 Southeast University Road, Nanjing 211189, China * Correspondence: [email protected] Received: 8 October 2019; Accepted: 4 December 2019; Published: 10 December 2019 Abstract: The primary objective of this study is to explore spatio-temporal effects of the built environment on station-based travel distances through large-scale data processing. Previous studies mainly used global models in the causal analysis, but spatial and temporal autocorrelation and heterogeneity issues among research zones have not been sufficiently addressed. A framework integrating geographically and temporally weighted regression (GTWR) and the Shannon entropy index (SEI) was thus proposed to investigate the spatio-temporal relationship between travel behaviors and built environment. An empirical study was conducted in Nanjing, China, by incorporating smart card data with metro route data and built environment data. Comparative results show GTWR had a better performance of goodness-of-fit and achieved more accurate predictions, compared to traditional ordinary least squares (OLS) regression and geographically weighted regression (GWR). The spatio-temporal relationship between travel distances and built environment was further analyzed by visualizing the average variation of local coefficients distributions. Effects of built environment variables on metro travel distances were heterogeneous over space and time. Non-commuting activity and exurban area generally had more influences on the heterogeneity of travel distances. -
Establishment and Analysis of the Supernetwork Model for Nanjing Metro Transportation System
Hindawi Complexity Volume 2018, Article ID 4860531, 11 pages https://doi.org/10.1155/2018/4860531 Research Article Establishment and Analysis of the Supernetwork Model for Nanjing Metro Transportation System Yu Wei and Sun Ning College of Automobile and Transport Engineering, Nanjing Forestry University, Nanjing , China Correspondence should be addressed to Yu Wei; [email protected] Received 7 August 2018; Revised 3 October 2018; Accepted 15 October 2018; Published 2 December 2018 Guest Editor: Katarzyna Musial Copyright © 2018 YuWei and Sun Ning. Tis 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. In recent years, many researchers have applied complex network theory to urban public transport network to construct complex network and analyze its network performance. Te original analysis method generally uses the Space L and Space R model to establish a simple link between public sites but ignores the organic link between the overall network system and the line subsystem. As an important part of urban public transport system, subway plays an important role in alleviating trafc pressure. In this paper, a supernetwork model of Nanjing metro network is established by using the supernetwork method. Tree parameters, node- hyperedge degree, hyperedge-node degree, and hyperedge degree, are proposed to describe the model. Te model is compared with the traditional Space L and Space P models. Te study on the supernetwork model of Nanjing metro complex network shows that the network density, network centrality, and network clustering coefcient are large, and the average network distance is small, which meets the requirements of trafc planning and design.