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.     

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.     

Global Navigation Satellite System based tolling: state-of-the-art

Road pricing or road user charging may be understood as an economic concept regarding direct charges applied for using roads. Different pricing paradigms may be distinguished mainly refering to pricing of congested, non-expandable urban networks as well as pricing of expandable, uncongested (principally, interurban) road infrastructure. Numerous technologies within Intelligent Transport Systems can provide support in efficiently applying various charging mechanisms. Recently, among others, tolling systems have been deployed that rely on the Global Navigation Satellite System (GNSS). The purpose of this paper is to discuss the state-of-the-art of using GNSS technology in road user charging.     

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.     

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.     

Road traffic injuries in Colombia

Road traffic injuries are a leading public health problem in Colombia. Pedestrians are the most vulnerable road users, especially in the main urban centers of Bogotá, Medellin and Cali. Data analyzed in this report include official statistics from the National Police and the National Institute of Legal Medicine and Forensic Sciences for 1996-2000, and results of a study conducted at the National University of Colombia in 2000. Methods from the Highway Capacity Manual were used for determining physical and technical variables, and a Geographical Information System tool was used for the location and spatial analysis of the road traffic crashes. Pedestrians accounted for close to 32% of injuries and 40% of the deaths from road traffic crashes. The problem of road traffic crashes existed predominately in urban areas. In the main urban centers, pedestrians constituted nearly 68% of road traffic crash victims. The high level of risky road use behaviors demonstrated by pedestrians and drivers, and inadequate infrastructure for safe mobility of pedestrians in some sections of the road network were the main contributing factors. Major improvements were achieved in Bogotá following enhancements to the municipal transport system and other policies introduced since 1995. In conclusion, policies and programs for improving road safety, in particular pedestrian safety, and strengthening urban planning are top priority.     

安徽省道路旅游客运车辆需求量预测分析

本文分别采用指数函数曲线预测模型、灰色简单预测模型和多元线性回归的一般模型预测安徽旅游人数,依据三种方法预测结果的加权平均数,预测了安徽道路旅游客运车辆需求量,为道路旅游客运体系的建立,能够提供科学的决策依据。     

Die „Diesel-Debatte“: ökonomische Handlungsempfehlungen an die Politik

Diesel technology and the associated environmental burden of local and global pollutant emissions have long been the focus of environmental policy debates. This article considers various negative external effects resulting from the use of combustion engines. A number of economic policy instruments can help to reduce these effects in the long term, such as the introduction of an urban road pricing scheme that is linked to local pollution levels, a greater focus on CO2 abatement in the sectors included in the EU Emissions Trading Scheme (EU ETS), or the integration of the transport sector into the EU ETS.     

城市主干道交通拥挤收费额度的经济学计算

交通拥挤收费额度应是各城市交通拥挤社会时间效益的损失值和用户开车上路的额外消费收益值之和。从经济学原理求得社会经济的时间效益和额外消费收益计算公式，并据此公式及长沙市的社会经济水平和交通状况的具体计算可得出：在14：00—22：00对市中心区的十一条主干道进入市中心方向收费额度为6元／次为宜。     

Alternative marginal-cost pricing for road networks

In the literature, several studies have algebraically characterized the set of toll vectors or patterns that, when added to a user equilibrium problem, its solution would be system optimal. Toll vectors in this set are termed “valid.” While the toll vector commonly advocated in the literature, i.e., one that equates the toll on each link to its marginal external cost, is always valid, other valid toll vectors generally exist and many leave some utilized links in the network untolled. On the surface, this may appear unreasonable and seems to violate the principle of marginal-cost pricing. This note shows that, when travel demands are elastic, all valid toll vectors satisfy this principle, in that the total tolls for each path equals the congestion externality an additional traveler on the path imposes on others.     

Selling to strategic customers with cost uncertainty

Production cost can be influenced by previous sales in an uncertain way. In reality, production cost may decrease in the number of initial buyers due to the learning effect, or increase in the number of initial buyers due to the quality-improving pressure from negative comments of unhappy users. Taking this uncertainty into account, this paper studies the optimal intertemporal pricing strategies of a firm when selling to strategic customers in two periods where production cost in the second period randomly changes with the number of buyers in the first period. Our results suggest how firms should adjust their optimal pricing strategies under different market circumstances.     

需求不确定下多产品动态定价模型研究

制造商的多产品动态定价问题要考虑原材料的采购、多种产品的生产制造、库存,以及处理下游订单等的成本和未满足的需求及运送的前置时间。通过引入时空网络,建立使制造商期望利润最大的动态定价数学模型,实例分析表明,制造商期望利润最大化的最优价格、最优产品生产量与最优库存量能,是制造商制定合理的生产计划的决策依据。     

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.     

First motorcycle-exclusive lane (Motovia) in Colombia: perceptions of users in Cali, 2012–2013

This study's goal was to evaluate the pilot exclusive lane for motorcycles (Motovía) in Cali, Colombia, from the perception of its users in 2012–2013. A cross-sectional study using roadside surveys plus a qualitative component of individual semi-structured interviews was carried out. Road users' perceptions were investigated before and after implementation of lane dividers (LD) and were compared with other roads in the city. Perceptions were compared using chi-square tests. In the study, 293 motorcyclists, 111 cyclists, and 115 automobile drivers were interviewed. Following the installation of the LD, the majority of motorcyclists and cyclists reported that LD made easier the driving maneuvers and decreased travel time, in contrast to perceptions of automobile drivers (p < 0.001). For most motorcyclists, the Motovia was considered as safe and effective, approving its continuity and replication. Half of automobile drivers and cyclists did not approve the installation of the Motovia due to travel time (drivers) and security issues (cyclists). Motovia is an option to enhance motorcyclists' safety on the road. It must, however, offer clear circulation alternatives for automobile drivers. According to users' perception, it is not safe for bicycles and other human-powered vehicles to share lanes with motorcycles. Further research about vulnerable road users' infrastructure is required.     

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).     

Dynamically consistent alpha‐maxmin expected utility

The alpha‐maxmin model is a prominent example of preferences under Knightian uncertainty as it allows to distinguish ambiguity and ambiguity attitude. These preferences are dynamically inconsistent for nontrivial versions of alpha. In this paper, we derive a recursive, dynamically consistent version of the alpha‐maxmin model. In the continuous‐time limit, the resulting dynamic utility function can be represented as a convex mixture between worst and best case, but now at the local, infinitesimal level. We study the properties of the utility function and provide an Arrow–Pratt approximation of the static and dynamic certainty equivalent. We then derive a consumption‐based capital asset pricing formula and study the implications for derivative valuation under indifference pricing.     

Intertemporal price discrimination with forward-looking consumers: Application to the US market for console video-games

Firms in durable good product markets face incentives to intertemporally price discriminate, by setting high initial prices to sell to consumers with the highest willingness to pay, and cutting prices thereafter to appeal to those with lower willingness to pay. A critical determinant of the profitability of such pricing policies is the extent to which consumers anticipate future price declines, and delay purchases. I develop a framework to investigate empirically the optimal pricing over time of a firm selling a durable-good product to such strategic consumers. Prices in the model are equilibrium outcomes of a game played between forward-looking consumers who strategically delay purchases to avail of lower prices in the future, and a forward-looking firm that takes this consumer behavior into account in formulating its optimal pricing policy. The model outlines first, a dynamic model of demand incorporating forward-looking consumer behavior, and second, an algorithm to compute the optimal dynamic sequence of prices given these demand estimates. The model is solved using numerical dynamic programming techniques. I present an empirical application to the market for video-games in the US. The results indicate that consumer forward-looking behavior has a significant effect on optimal pricing of games in the industry. Simulations reveal that the profit losses of ignoring forward-looking behavior by consumers are large and economically significant, and suggest that market research that provides information regarding the extent of discounting by consumers is valuable to video-game firms.

Myopic Selection

The severity of selection mechanisms and the myopia of selection are explored through a duopoly model where one firm tries to move down a learning curve in which costs are initially higher than its rival's but ultimately much lower. A trade‐off is found between catch‐up time and asymptotic market share: the more severe are selection pressures, the less likely is it that the learning technology will survive; however, if it does survive, the learning technology will in the limit be more competitive the more severe are selection pressures. We explore the dynamics of the model under unit cost and strategic pricing and find that the optimal pricing rule depends on the parameters governing firm learning and market selection.