Network impacts of distance-based road user charging

Distance-based road user charging is being seen as one potential mechanism to implement national road charging schemes. This paper investigates the design aspects of universal distance-based charging schemes and incorporates procedures within a detailed network supply model to represent how a range of different permutations of distance-based charges across a given network (charging regimes) affect route-choice, travel characteristics and demand for road space. The results suggest that distance-based charging can reduce number and length of trips, congestion, accidents and pollution, and provide net economic benefits and revenues. However, these benefits are not found to be uniform throughout the network. Their magnitude largely depends on the charge level, the hierarchy of charges across the network, and the difference between the charge levels.     

Arrow: A flexible architecture for an accounting and charging infrastructure in the Next Generation Internet

Current pricing and charging methods for the Internet are not based on actual usage of this service, which leads to unfairness and more important, it does not deliver the right signals through financial incentives to network providers to upgrade critical links of their networks. The development of new multimedia applications and the convergence to an integrated services network will foster the tremendous growth of the Internet even more. With the Next Generation Internet not only technical services like bandwidth reservation will be introduced, but also new applications will emerge within the Internet. Charging the Internet in a fashion that provides feedback to users and providers has been proposed since the early '90s, however, only a few implementations and real-world examples are known today. This is due to subsidizing the Internet in its early stages and due to a technical development that did not care much about charging. With the recent redesign of the Internet protocol suite and discussions on multiple service classes in the Internet, architectures for charging and accounting have to be revisited, too. Economic models for the Internet cannot be tested fully and validated in non-real-world environments, because of the unknown user behavior. With this uncertainty over what models and pricing schemes to choose, it is evident that a specific charging and accounting platform will never be accepted by the community. In this paper a novel and flexible architecture for charging and accounting is proposed that provides a wide range of mechanisms and lets researchers experiment in an environment as close as possible to the targeted system. As a first step, four different pricing schemes are described, qualitatively assessed on the proposed platform, and a prototypical implementation performed. One of the economic models that have been implemented on Arrow is based on different service classes including reservation and recalculates prices dynamically depending on the traffic situation. This revised version was published online in August 2006 with corrections to the Cover Date.     

信息商品定价方法探析

信息商品是一种特殊商品,既具有一般商品的基本属性,在其价格上又有着自身的一些特征。信息商品的价格具有不确定性、融入性、声望性、变化性和生产成本高、复制成本低等特点;信息商品定价方法常见的有成本导向、需求导向、竞争导向和捆绑定价法等;信息商品的其他定价形式主要有间接收费和双重收费。     

Pricing and Cost Recovery for Internet Services: Practical Review,Classification, and Application of Relevant Models

Suitable pricing models for Internet services represent one of the main prerequisites for a successfully running implementation of a charging and accounting system. This paper introduces general aspects influencing the choice of a pricing model in practical situations and presents a survey as well as a classification of relevant and advanced approaches to be found in the scientific literature. First performance results on charging extensions within the Internet are presented, which are completed by a set of market price simulations for dynamic pricing models within the same implementation environment. Based on cost model investigations some detailed insights into price and cost issues from an Internet Service Provider's (ISP) point of view are given. Moreover, current challenges as well as problems are discussed in a practical context as investigated in the Swiss National Science Foundation project Charging and Accounting Technology for the Internet (CATI).     

Design and evaluation of road pricing: state-of-the-art and methodological advances

This article provides an in-depth review of the state-of-the-art and describes methodological advances in the design and evaluation of road network pricing schemes. A number of paradigm shifts from the two polar cases of the marginal social cost pricing of road traffic congestion and revenue-maximizing road toll pricing are analyzed, as induced by the need to address realistic design complexities and constraints. The crucial role of the joint consideration of pricing strategies with optimal capacity provision and several network management measures is manifested and an integrated evaluation framework is suggested to incorporate a wide range of road pricing impacts into the scheme design process.     

Heuristic algorithms for a second-best congestion pricing problem

Designing a congestion pricing scheme involves a number of complex decisions. Focusing on the quantitative parts of a congestion pricing system with link tolls, the problem involves finding the number of toll links, the link toll locations and their corresponding toll level and schedule. In this paper, we develop and evaluate methods for finding the most efficient design for a congestion pricing scheme in a road network model with elastic demand. The design efficiency is measured by the net social surplus, which is computed as the difference between the social surplus and the collection costs (i.e. setup and operational costs) of the congestion pricing system. The problem of finding such a scheme is stated as a combinatorial bi-level optimization problem. At the upper level, we maximize the net social surplus and at the lower level we solve a user equilibrium problem with elastic demand, given the toll locations and toll levels, to simulate the user response. We modify a known heuristic procedure for finding the optimal locations and toll levels given a fixed number of tolls to locate, to find the optimal number of toll facilities as well. A new heuristic procedure, based on repeated solutions of a continuous approximation of the combinatorial problem is also presented. Numerical results for two small test networks are presented. Both methods perform satisfactorily on the two networks. Comparing the two methods, we find that the continuous approximation procedure is the one which shows the best results.     

Evolutionary game-theoretic model for dynamic congestion pricing in multi-class traffic networks

This paper describes an evolutionary game-theoretic learning model for dynamic congestion pricing in urban road networks, taking into account route choice stochasticity and reliability considerations, and the heterogeneity of users, in terms of their value of travel time and real-time information acquisition. The learning model represents the dynamic adjustments of users to travel cost changes which may take place in the day-to-day as well as the within-day timescales. The implementation into a simplified and a real urban road network signifies the important implications of modeling the dynamic and stochastic learning components of users’ behavior for accommodating the efficient deployment of congestion pricing schemes.     

人工智能时代个性化定价行为的反垄断规制--从大数据杀熟展开

人工智能时代,数据规模显著扩张,算法能力持续优化。科技实力雄厚、市场力量强大的经营者凭借大数据与算法工具的紧密结合,收集和分析能够反映消费者特征和行为的相关信息,以无限接近消费者购买能力和支付意愿上限的方式对消费者实施个性化定价。个性化定价行为涉及对条件相同的交易相对人在交易价格上实施差别化待遇,可能构成反垄断法所禁止的价格歧视行为。但与以往反垄断实施重点关注的排他性价格歧视不同,个性化定价突出表现为直接针对终端消费者实施的剥削性价格歧视,且在具体情形下呈现出不同的限制竞争效果,引发消费者选择能力与选择范围的双重限制。鉴于此,个性化定价行为的反垄断规制需要准确识别涉案行为,综合判断竞争效果,慎重选择福利标准。对于同时降低消费者剩余和社会总福利的个性化定价行为,可认定其具有限制竞争效果且不具备正当理由,从而构成违法价格歧视;对于降低消费者剩余却提高社会总福利的个性化定价行为,如果选择消费者福利标准则可认定其构成违法价格歧视,如果选择社会总福利标准则可认定其具备正当理由;对于同时提高消费者剩余与社会总福利的个性化定价行为,因涉及消费者之间的剩余转移,对其竞争效果的评价仍待反垄断实施予以明确。     

Pricing of mall services in the presence of sales leakage

For a shopping mall, sales leakage occurs when consumer purchases facilitated by the mall are finalized outside it. These sales include, for example, catalog orders filled at the leased premises in a physical mall; For an Internet mall, they include the ones consumers make on an on-line store’s website after learning about the store from an Internet mall website. While these sales are difficult to track in the physical mall, Internet malls like Yahoo can track them by placing cookies on consumers when they visit the mall. The challenge for a mall owner then is to design an appropriate pricing model which takes sales leakage into account. In fact, Yahoo currently uses an All-Revenue-Share Fee with Yahoo collecting from on-line stores a share of all sales revenue, regardless of whether the purchase was made through the mall or directly from the store’s own URL. We explore this new All-Revenue-Share Fee model, compare it with the commonly used Fixed Fee model and the two-part tariff model, and identify the model with the highest profits for the mall under different conditions. We suggest that although an All-Revenue-Share Fee is appealing for Internet malls due to its ability to capture sales leakage directly, it may cause the stores to refrain from joining the mall in certain circumstances. Thus, in certain situations charging a fixed monthly fee can actually be more profitable for the mall versus the All-Revenue-Share Fee model. We also examine how mall and product category characteristics as well as market expansion affect the optimal pricing strategy. We show that a mall should price discriminate across product categories, not just by charging different amounts of fees, but by using different pricing models. Our research provides many managerial implications on how to price over time.     

Pricing of card payment services in Scandinavian banking

Pricing of card payment services includes many considerations of cost and revenue in an environment of changing payment technology, network effects in two-sided markets and price bundling. This paper describes the consumer pricing methods for card payment services by Scandinavian banks and evaluates their explicit pricing methods. The main findings suggest that Scandinavian banks in general are more interested in earning revenue from implicit prices than in encouraging the use of more cost efficient technology by charging explicit transaction fees. However, the pricing methods applied may vary, depending on the country and a bank's service supply.     

Pricing Internet access in the presence of user loyalty

Socio-economic aspects of future communication networks such as pricing models for network providers, network neutrality, and Quality of Experience (QoE) are becoming more and more important as the convergence of networks is in progress. All the above areas share a common interest: the deeper understanding of user behavior. In this paper, as a first step towards a more realistic user model, we investigate customer loyalty and its impact on the pricing competition of Internet Service Providers (ISPs) who sell Internet access to end-users. The main contribution of this paper is twofold. First, we analyze the impact of user loyalty with game-theoretical means motivated by the Bertrand game. We show how loyalty introduces a new equilibrium in a repeated game setting resulting in the cooperation of ISPs. Furthermore, we investigate the case of a differentiated customer population by introducing dual reservation values, and show how it leads to new, pure strategy Nash equilibria indicating that ISPs should make the most out of their respective loyal user base. Second, we construct two novel models for customer loyalty incorporating two important aspects of the users’ purchasing decisions: price sensitivity and inherent uncertainty. We evaluate the impact of user loyalty through these models by extensive simulations in a number of relevant scenarios. In particular, we show how the higher level of loyalty in the user population leads to larger profits for ISPs. We argue that our findings can motivate network researchers to incorporate a finer-grained user behavior model in their investigations on pricing models of network services and other socio-economic issues.     

The promise and peril of dynamic targeted pricing

Dynamic pricing is widely adopted in many industries, such as travel and insurance. These industries are also gaining extensive capabilities in identifying and segmenting customers, partly fueled by the increasing availability of data. It is natural to ask whether firms should take advantage of such developments by charging different prices to different customer segments. If so, under what conditions? We seek answers to these highly managerially relevant questions.We consider a market with two customer segments served by a monopolist. The monopolist can choose among a set of pricing strategies to exploit consumers’ inter-temporal preferences and/or inter-segment variations. At one end of the spectrum, the firm can charge a constant price to all customers, which is called static pricing. At the other end of the spectrum, the firm can charge different prices to different customer segments and vary these prices over time, which is referred to as dynamic targeted pricing. We systematically compare these alternative pricing strategies. We show that dynamic pricing without targeting can be more effective than static targeted pricing when customers are not very forward looking, which corroborates the findings in the empirical literature. Interestingly, we find that the monopolist can be worse off when she adopts targeting in addition to dynamic pricing. We conduct laboratory experiments to test several key model predictions. The studies show that individuals behave in a manner consistent with the predictions of our model.     

To divide or not to divide? The impact of partitioned pricing on the informational and sacrifice effects of price

Firms often partition a product??s price into two mandatory parts (e.g., the base price of a mail-order DVD and the surcharge for shipping and handling) instead of charging one all-inclusive price. This study examines whether and to what extent partitioned pricing (compared to one all-inclusive price) influences the informational and sacrifice effects of price. We empirically show that partitioned pricing oppositely affects these two distinct roles of price: the informational effect of price (i.e., price as an indicator of quality) increases, while the sacrifice effect (i.e., price as a measure of sacrifice) becomes more negative. In product categories with substantial price?Cquality inferences, the positive impact of partitioned pricing on the informational effect can overcompensate for its negative impact on the sacrifice effect, making partitioned prices the preferable strategy.     

全球卫星导航系统星间链路层协议设计

分析了全球卫星导航系统（GNSS）发展的现状,指出建立GNSS星间链路（ISL）的需 求。针对这样的需求,提出以高级在轨系统（AOS）空间数据链路层协议建议书为参考来设 计适用于GNSS的星间链路层协议。对GNSS星间可能传输的业务信息基于AOS的建议进行了归 类,认为GNSS星间链路层协议可以使用AOS,具体给出了AOS建议下星间链路层协议的设计。 为使协议更适合GNSS ISL链路层,主要从3个方面对AOS进行改进,即：优化了虚拟信道数 据单元的结构,削减了3种服务,改进了虚拟信道调度与复用方法。对协议的性能进行了分 析仿真,得出了信道误码率、帧长、包长和吞吐量的关系,仿真结果表明所设计的协议可 作为GNSS星间链路协议设计的参考。     

Pareto-improving and revenue-neutral congestion pricing schemes in two-mode traffic networks

This paper studies a Pareto-improving and revenue-neutral congestion pricing scheme on a simple two-mode (highway and transit) network: this scheme aims at simultaneously improving system performance, making every individual user better off, and having zero total revenue. Different Pareto-improving situations are explored when a two-mode transportation system serves for travel groups with different value-of-time (VOT) distributions. Since the congestion pricing scheme suggested here charges transit users negative tolls and automobile users positive tolls, it can be considered as a proper way to implement congestion pricing and transit subsidy in one step, while offsetting the inequity for the poor. For a general VOT distribution of commuters, the condition of Pareto-improving is established, and the impact of the VOT distribution on solving the inequity issue is explored. For a uniform VOT distribution, we show that a Pareto-improving and revenue-neutral pricing scheme always exists for any target modal split pattern that reduces the total system travel time.     

基于寡头定价的动态频谱接入控制

为了解决频谱接入中主用户和次级用户交互信息过程复杂的问题,提出了一种基于寡头定价的动态频谱接入控制算法。该算法利用博弈论建立寡头定价模型,通过控制次级用户的频谱接入过程以实现系统收益的最大化,算法只需一次用户信息交互,且无需建立公共控制信道,网络拓扑结构简单。通过比较帕累托最优与全局最优的关系,实验计算与性能分析证明了该算法的有效性。     

Attack and defend: the role of targeting in a distribution channel

This paper studies the role of targeting in a distribution channel composed of one manufacturer and one retailer. In channel interactions, the manufacturer can deploy targeted advertising while the retailer can initiate targeted pricing. Using a game-theoretic framework, we find the following results: (1) Targeted advertising increases the manufacturers profit at the expense of the retailer; (2) The retailer may be worse off using targeted pricing; (3) Targeted pricing discourages the manufacturer from launching targeted advertising which is a more severe threat to the retailer. Therefore, the retailer may optimally use targeted pricing, even when it hurts profit, to defend against the attack of targeted advertising by the manufacturer.     

进场费合理性的理论解析——兼论中国大型零售商的进场费规制

目前进场费已经成为我国零售商的主要利益来源,进场费的种目繁多,漫天要价,收取过程不明朗等诸多问题,引起了供应商的不满,导致了供零关系紧张,在一定程度上不利于供零双方以及整个商业的和谐发展。但是进场费的存在也有其积极意义及合理性。     

Joint pricing and design of urban highways with spatial and user group heterogeneity

This paper addresses the joint optimization of capacity investments and toll charges imposed on multi-group users in monopolistic private highways within general road networks. A game-theoretic formulation is provided that leads to a nonconvex bilevel program. The proposed modeling framework handles several complex issues raised in realistic applications, such as regulations on the levels of tolls and service, and the discrete nature of highway capacity, using a genetic optimization technique. Real-application results show the importance of considering the spatial heterogeneity of prices, and the tradeoff between investments and pricing strategies in regulated private highways.     

Razor-and-Blades pricing revisited

From razors and blades to printers and ink cartridges to smartphones and monthly usage charges to media devices and content, razor-and-blades pricing is commonplace. The argument for such a business model is compelling: entice consumers to adopt with a low initial price for the ‘razor,’ build up an installed base, and more than make up for the initial subsidy by charging a high price for replacement ‘blades.’ The problem is, many consumer enticement, customer lock-in, and competitive lock-out mechanisms look less and less tenable given modern-day developments such as the Internet, Google searches, social media, the hacker revolution, the ‘maker movement,’ rapidly improving technology, leaky supply chains, and global markets. This article characterizes the what, why, and how of razor-and-blades pricing; then examines the present-day tenability of such a pricing practice; and concludes with an impetus and a call for innovation—innovation in, perhaps, the pricing of and the purchasing arrangement for the initial razor; the value proposition from the razor and the razor-and-blades system; the architecture of the razor-and-blades system; and the delivery, especially in terms of customer experience, of value from the razor-and-blades system.