中国资源整合的正负效应

中国的种种资源，在世界排行榜上位居前列的太多太多了!粗略地数一数，都可以使世界仰视。比如：历史资源、政治资源、人才资源、理论资源、经济资源、本领资源、疆域资源、民族精神资源、道德资源、意志资源。上述的资源，是中国的财富和至宝。在认识上任何的背叛和淡漠，都是最大的错误和失实。     

多维分析技术的行业应用研究

概述 随着信息化系统应用的不断深入,大量重要的交通信息资源得以积累,如何进一步有效利用交通数据资源,将数据资产转化为知识资源,已成为交通信息化建设当前的工作重点之一.     

广西港口物流路径

如何利用好广西沿海港口资源．避免岸线资源的滥用和贱用．以及恶性竞争的出现．打破沿海各港各自为政、各成体系、分散经营的格局，充分发挥港口一体化的整体规模经营优势，提升沿海港口整体核心竞争力，建成区域性国际物流基地，把“广西打造成连接多区域的国际通道、交流桥梁、合作平台”．成为广西当前经济建设的着力点。整合沿海港口资源．着力发展港口物流是实现上述目标的基础．是加快广西北部湾经济区全面开放开发的重大举措。     

基于GIS的高速公路通信资源管理系统

随着中国高速公路的不断发展,高速公路通车里程已达10万公里以上。近年来,智能交通的逐步兴起使得高速公路通信系统的资源管理逐步提上日程。并且,随着电信行业4G的发展,电信行业和军队将租用高速公路的管道建立自己的一、二级通信干线网。目前,有的路上已有6~8条光缆在运营使用,因此,建立一套规范的通信资源管理系统,对于通信系统以后扩容、故障定位、故障查修等将起到关键的作用。     

双管齐下规范交通信息资源的开发利用

日前,交通部制定发布了《交通信息资源开发利用指导意见》和《交通信息基础数据元集》。这是交通部为进一步规范和加快交通信息资源的开发利用,推动交通信息化的深入健康发展,以信息化提高交通行业的创新能力,更好地为行业管理和社会公众服务的重要举措．信息资源在交通行业的各项活动中一直发挥着十分重要的作用,是交通生产活动能够正常开展的基本要素之一。现代交通运输活动尤其对信息资源的交换,共享有着十分迫切的要求。但是,由于缺乏统一,规范和标准化的管理办法和数据标准,造成了业务信息系统开发得越多,信息的分隔情况就越严重的奇特现象,这种情况已经严重制约了交通信息化的深入发展,使交通信息化难以适应交通事业发展的要求,交通部本次发布的《交通信息资源开发利用指导意见》和《交通信息基础数据元集》就是要从政策制度和数据标准两方面入手,规范交通信息资源的开发利用工作。     

认识网格计算

网格计算(Grid Computing)是一种伴随着互联网技术而迅速发展起来的新型计算模式；这种计算模式可以利用网络把多台计算机整合成一台“虚拟的超级计算机，实现处于不同地理位置的计算资源、存储资源、数据资源、信息资源、知识资源、专家资源的综合利用和全面共享。例如，某公司在北京、上海、广州这三个城市分别有100台商用计算机，通过网格计算技术，就可以将这300台商用计算机整合成一台“虚拟的超级计算机”，     

安徽交通数据中心云资源管理平台应用及技术研究

通过云计算技术应用研究,特别是基于虚拟化技术的云资源管理平台的应用开发,实现了对交通数据中心现有物理资源的集中管理和统一调度,从而为安徽省交通云计算中心的建设和管理提供了技术和实践经验,有效提升安徽省交通数据中心的资源利用率,实现安徽交通云计算中心由传统集成架构向云计算架构转变,降低行业信息化项目整体建设成本和运维成本,提高行业管理、政府决策和公众服务水平,为实现智慧交通奠定基础。     

华润物流模式

如何整合各种资源，是一门艺术，“华润物流”不乏精英，也不缺资本，如何将资源合理配置，以发挥其最大效力，他们借鉴了围棋的艺术。     

交通信息资源开发利用指导意见

一、总则(一)交通信息资源是指从公路水路交通建设,生产和管理过程中产生,并利用信息化手段进行处理的有利用价值的、数字化的信息。(二)根据交通行业特点,交通信息资源主要划分为基础信息,生产运行信息,行政管理信息,统计信息,交通安全监督及保障信息和公众服务信息等六方面。     

服务奥运 共建和谐——北京·海淀2007′区域发展高层联席会议集锦

中国的资源节约与浪费，如今已是国人乃至全世界高度关注的话题。石油、煤、钢铁等是资源，经济、科技、教育、文化等领域内的种种，何尝不是资源？或可称是宏观资源、软实力资源。从2005年起，北京市海淀区在统筹区域资源、共建和谐发展方面进行了有益的探索。     

A Taxi Zoning Analysis Using Large-Scale Probe Data: A Case Study for Metropolitan Bangkok

Taxis are considered one of the most convenient means of transportation, especially when people have to travel off-route, where public transportation is not a feasible option, and also when they need to reach a destination according to what is most convenient for them. However, many issues exist about taxi services, such as the problems of passengers who are unable to get taxi service at the location of their choice, or problems concerning when they need the taxi service to arrive. These problems may be due to the unavailability of the taxi at that particular location or due to the taxi driver not wanting to provide service. A taxi driver may not want to provide service to a potential passenger, because they may have preferences on the direction and areas they want to go or because of the different types of service zoning. Understanding the behaviors of taxi drivers and the characteristics of the trip/travel might be helpful to solving such issues. In this study, we conducted an analysis from a questionnaire survey and large-scale taxi probe data to understand taxi service behavior, travel characteristics, and to discover taxi service zoning characteristics. As a result, four types of taxi service zones including isolated zones, interactive zones, special service zones, and target zones were encountered. Travel characteristics were calculated and analyzed at different criteria, such as weekdays, weekends, and various time windows in a single day. The result of these characteristics was explained according to their similarities and dissimilarities in each type of zone. The discovery of the different zones and their respective definitions might be a good initiative for further development of a policy for taxi drivers to provide better service for passengers.     

Facebook Content Strategies and Citizens’ Online Engagement: The Case of Greek Local Governments

This paper analyzes the communication strategies used by Greek local governments through the utilization of Web 2.0 technologies, specifically Facebook, and the effectiveness of these strategies in relation to citizens’ online engagement. More specifically, it examines Facebook communication strategies and levels of citizens’ engagement. For this purpose, we conducted a content analysis on the active and official Facebook pages of local municipalities in Greece from January 2017 until the end of September 2017. Our results suggest a rise in the percentage of active Facebook pages maintained by local governments in comparison to our 2014 study. Our results also show that local governments in Greece are using Facebook in a predominantly top-down manner to promote events organized by the municipality and to push one-way information to citizens about their services and actions. Local authorities have, however, made significant progress in relation to posts that support transparency and accountability and that enhance or mobilize citizens’ participation. Our evaluation of local government Facebook strategies indicates that marketing the municipality to external public, such as tourists, and providing information about services are effective strategies that drive citizens’ online attitude expression (liking), engagement (commenting), and advocacy behavior (sharing). According to our analysis, local governments in Greece prefer the strategies that we found to be the least engaging. In addition, our study provides interesting details of how specific characteristics and modes of Facebook messages (photos, videos, URLs, hashtags, and mentions) impact on citizens’ engagement. Finally, our results provide valuable insights for social media managers in local government who aim to increase the impact of their municipal Facebook pages.     

The Contents-Based Website Classification for the Internet Advertising Planning: An Empirical Application of the Natural Language Analysis

This study proposes a model for website classification using website content, and discusses applications for the Internet advertising (ad) strategies. Internet ad agencies have a vast amount of ad-spaces embedded in websites and have to choose which advertisements are feasible for place. Therefore, ad agencies have to know the properties and topics of each website to optimize advertising submission strategy. However, since website content is in natural languages, they have to convert these qualitative sentences into quantitative data if they want to classify websites using statistical models. To address this issue, this study applies statistical analysis to website information written in natural languages. We apply a dictionary of neologisms to decompose website sentences into words and create a data set of indicator matrices to classify the websites. From the data set, we estimate the topics of each website using latent Dirichlet allocation, which is fast and robust method for sparse matrices. Finally, we discuss how to apply the results obtained to optimize ad strategies.     

北京迈向“世界城市”的路线图——读金元浦《北京：走向世界城市》拾片

＂文章合为时而著＂。摆在读者面前的这部《北京：走向世界城市》,是以著名学者金元浦教授为主编、集纳诸多学者、专家、官员智慧撰写成的＂北京建设世界城市发展战略研究报告＂。为＂北京建设世界城市＂集思广益、出谋划策、擘画出一纸清晰可见的完美＂路线图＂。     

An Advertising Strategy Using Consumption Externality and Forgetting in the Case of Japanese Electronic Books

We construct a two-period model in which a consumer recognizes the existence of goods after advertised by firms, and total sales of the first period affect the utility of each consumer’s purchase in the second period, indicating a consumption externality. Some consumers see advertisements in the first period and remember the product, whereas some forget the product in the second period. We show that the advertising volume changes given the differences in the forgetting rate. In particular, we apply our method to the data on Japan’s electronic books obtained through a conjoint analysis survey to clarify that a better strategy is to sell a product to a small number of people at a low price or to lower the price to a certain level during the early period, and then to sell the product to a specific consumer segment at a higher price after reflecting the externality.     

高明的环保

事务所的陈主任刚从英格兰出差回来，欣欣然与我们分享他在英格兰萨佛克郡郊外的见闻。陈主任把他的精美相册拿给我们看，一边翻，一边说：“你们见过这样的农舍吗？”我们立刻被照片中的农舍吸引住了，只见外墙和屋顶有两层壳，外层壳是木质的，内层壳由玻璃制造而成。陈主任说：“第一次见到时我特别惊讶!只需6分钟，长约28米，重约50吨的外层壳便可全部平移出去，一座全透明的玻璃房子便呈现在你眼前。”     

Opportunities for Crossing the Chasm between Early Adopters and the Early Majority through New Uses of Innovative Products

Crossing the chasm between early adopters and an early majority is an important issue for innovation diffusion. This research addresses the uses of innovative products used by early adopters to solve the problem of crossing the chasm. First, a Human-Centered Computing System (HCCS) is used to extract the uses of innovative products by early adopters to create an advertising scenario, which in turn, is an opportunity for the early majority to cross the chasm. Secondly, our method is used to conduct a two-fold Technology Acceptance Model (TAM) test, i.e., before and after consumers read the advertising scenario. Lastly, clustering analysis is employed to classify the consumers and then to calculate the number of consumers in each cluster. The results of this experiment reveal that 22% of additional consumers agree with the use of innovative products by early adopters. The results also indicate that the uses of innovative products are likely to cross the chasm between early adopters and an early majority.     

Sirius卫星广播将发布交通和气象信息

Ford and the Minnesota Department of Transportation recently announced a partnership to construct an intelligent transportation system where cars will talk to the highway, and to each other, to keep passengers out of traffic jams and bad weather.     

Data Mining Approach for Direct Marketing of Banking Products with Profit/Cost Analysis

Nowadays, many businesses, such as banks, use direct marketing methods to reach customers to minimize the campaigning cost and maximize the return rate. To achieve this, huge customer data should be analyzed to determine the most appropriate product offer for each customer and the most effective channel to reach her/him. However, since only a very small amount of responses collected from the customers are positive to the offers, the dataset is very imbalanced. This decreases sensitivity ratio of prediction results and makes it difficult to make a successful product and channel selection for the offer. In this paper, we propose a hybrid system, which first classifies the customers to decide if s/he is interested in the offered product, and then clusters them for product and channel suggestions. Experiments with real life banking data show very promising accuracy results for predicting the proper product and channel for the customers. Moreover, cost-profit analysis is also added to this problem. Our experiment results show that the proposed method decreases a fraction of the total profit, but since the decrease in the total cost is very large, there is a huge increase in the overall profit/cost ratio.