Electrification of a city bus network—An optimization model for cost-effective placing of charging infrastructure and battery sizing of fast-charging electric bus systems

The deployment of battery-powered electric bus systems within the public transportation sector plays an important role in increasing energy efficiency and abating emissions. Rising attention is given to bus systems using fast charging technology. This concept requires a comprehensive infrastructure to equip bus routes with charging stations. The combination of charging infrastructure and bus batteries needs a reliable energy supply to maintain a stable bus operation even under demanding conditions. An efficient layout of the charging infrastructure and an appropriate dimensioning of battery capacity are crucial to minimize the total cost of ownership and to enable an energetically feasible bus operation. In this work, the central issue of jointly optimizing the charging infrastructure and battery capacity is described by a capacitated set covering problem. A mixed-integer linear optimization model is developed to determine the minimum number and location of required charging stations for a bus network as well as the adequate battery capacity for each bus line. The bus energy consumption for each route segment is determined based on individual route, bus type, traffic, and other information. Different scenarios are examined in order to assess the influence of charging power, climate, and changing operating conditions. The findings reveal significant differences in terms of required infrastructure. Moreover, the results highlight a trade-off between battery capacity and charging infrastructure under different operational and infrastructure conditions. This paper addresses upcoming challenges for transport authorities during the electrification process of the bus fleets and sharpens the focus on infrastructural issues related to the fast charging concept.     

Data mining framework based on rough set theory to improve location selection decisions: A case study of a restaurant chain

Location selection plays a crucial role in the retail and service industries. A comprehensive location selection model and appropriate analytical technique can improve the quality of location decisions, attracting more customers and substantially impacting market share and profitability. This study developed a data mining framework based on rough set theory (RST) to support location selection decisions. The proposed framework consists of four stages: (1) problem definition and data collection; (2) RST analysis; (3) rule validation; and (4) knowledge extraction and usage. An empirical study focused on a restaurant chain to demonstrate the validity of the proposed approach. Twenty location variables relevant to five location aspects were examined, and the results indicated that latent knowledge can be identified to support location selection decisions.     

高校岗位设置工作中人员流动问题的研究

本文通过对高校岗位设置工作中人员流动原因、类型及存在问题的分析研究,提出建立高校人员内部流动机制,人员退出机制和高校人才环境培育等方面措施,促进高校人力资源的优化配置和满足高校人员自我发展的需求。     

The Significance of CSF Among Enterprises in Latvia： An In-depth Analysis

The present research paper is dedicated to the in-depth analysis of the significance of critical-to-success factors （CSF） among enterprises in Latvia. The goal is to distinguish and find key success factors of Latvian companies who survived the economic crisis, which started in 2008, and executed the enabling objectives of the paper. Research methodology involves the analysis of the existing theoretical literature, in-depth interviews with the top management representatives of large Latvian business entities were interviewed by GFK （Custom Research Baltic agency） on behalf of the authors of the paper. It is found out that 10 largest industries for the big companies are： fuel retail and wholesale, energetics, food retail and wholesale, chemical products, logistics, metal processing, financial services, information technologies service and production, passenger transportation, and telecommunication services. For medium companies such industries are： food retail and wholesale, logistics, fuel retail and wholesale, wood processing, automotive industry, construction, financial services, pharmaceutical products, metal processing, and beverage wholesale and production. The authors also scrutinised 72 articles of 38 Forbes magazine archiving from the years 2010-2014. Thirty CSF were defmed. The most significant CSF according to the Forbes interviews are specific market niche, export, technological innovations, and high quality of products and services. The in-depth interviews with the top management representatives prove the importance of the above mentioned factors. Relevant recommendations are provided in the end of the paper.     

Premium auctions and risk preferences: An experimental study

In premium auctions, the highest losing bidder receives a reward from the seller. This paper studies the private value English premium auction (EPA) for different risk attitudes of bidders. We explicitly derive the symmetric equilibrium for bidders with CARA utilities and conduct an experimental study to test the theoretical predictions. In our experiment, subjects are sorted into risk-averse and risk-loving groups. We find that revenues in the EPA are significantly higher when bidders are risk loving rather than risk averse. These results are partly consistent with theory and confirm the general view that bidders' risk preferences constitute an important factor that affects bidding behavior and consequently also the seller's expected revenue. However, individual subjects rarely follow the equilibrium strategy and revenue in our experiment is lower than in the symmetric equilibrium.     

国际金融危机下完善中小企业税收优惠制度的法律思考

税收优惠是国家在税收方面给予纳税人和征税对象的各种优待的总称。在中国,99%的企业是中小企业。长期以来我国都有关于中小企业税收优惠的规定,从而促进了中小企业的快速发展。此次国际金融危机使我国中小企业的发展面临严峻挑战,保护中小企业迫切需要税收优惠政策的支持。完善中小企业税收优惠制度,对于帮助中小企业顺利度过难关,促进国民经济发展,维护社会稳定均有重大意义。本文通过借鉴当前金融危机形势下各国关于中小企业税收优惠制度的调整经验,对我国现存相关立法进行了全面剖析,并就完善该项制度提出几点建议。     

信托受益权登记背景下的信托产品销售决策变化及影响——基于不同渠道偏好和成本的视角

信托受益权的登记细则出台及国内信托受益权账户系统的上线,对信托产品的销售渠道产生影响。通过模型构建,研究新制度背景下服务水平变化对信托公司销售成本的影响,并推导出直销和代销两种渠道的市场份额会发生变化,信托公司直销的市场份额将增加,由第三方财富公司代销的市场份额将逐步减小。销售渠道的改变会降低信托融资的总成本,从而会对信托业以及整个金融监管模式产生积极影响。     

吉林省储蓄国债投资者研究

随着我国经济持续增长和利率市场化不断推进,个人投资者资产管理方式及渠道日益丰富,而储蓄国债因品种单一、购买渠道狭窄、流动性不强等因素,与其他投资品种相比失去了往日"金边国债"魅力,储蓄国债发行和管理工作面临着挑战。本文从问卷调查入手,深入分析了吉林省储蓄国债投资者的结构特征、行为特点和投资偏好,并就优化期限结构、丰富国债品种、完善发行兑付渠道、强化宣传以及拓展农村市场五个方面提出意见建议,供参考。     

定向增发热潮背后的我国上市公司股权融资偏好研究

近年来,定向增发成为我国上市公司最为青睐的股权再融资方式,其主要原因在于定向增发为上市公司控股股东提供了更为便利的攫取控制权收益的渠道,并带来了实现无风险套利的机会,这使上市公司股权融资偏好问题体现的更为突出。